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Evaluation and low carbon ecological urban–rural planning and construction based on energy planning mechanism

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Published/Copyright: October 16, 2023
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Open Geosciences
From the journal Open Geosciences Volume 15 Issue 1

Abstract

In response to the problems of lack of planning in management and high difficulty in law enforcement in urban and rural planning (URP for short here) and construction, this article proposes to apply the concept of low-carbon ecology (LCE) to URP and construction and reasonably optimize URP and construction. This article provided a relevant analysis of urban and rural energy planning issues and applied the concept of LCE to URP and construction. This article constructed a framework for evaluating urban and rural carbon emissions, which is used to evaluate carbon emissions issues in URP and construction. This article also combines artificial neural network algorithms to further conduct experimental analysis on the scale of URP and construction land. In contrast, during the same period, the construction land scale of our algorithm increased by 179,800 acres less than that of the machine learning algorithm. The per capita area of urban and rural construction land decreased by 16.5 m2, and the gross domestic product (GDP) output of urban and rural construction land increased by 1.95 billion yuan. The algorithm in this article has increased by 155,200 acres compared to the construction land scale under deep learning. The per capita area of urban and rural construction land decreased by 7.1 m2, and the GDP output of urban and rural construction land increased by 915 million yuan. In summary, this algorithm can effectively increase the GDP output of urban and rural construction land, slow down the expansion of construction land scale, and play a good auxiliary role in URP and construction.

Keywords: energy planning; low carbon ecology; urban and rural planning and construction; construction land scale; artificial neural network

1 Introduction

The purpose of urban and rural planning (URP) and construction is to promote the coordinated development of urban and rural economies, cultures, and society. At present, China’s URP and construction are still in the development stage, and there are certain deficiencies in URP and construction in many places. The urban and rural management system is not sound, the management lacks planning, and the management and law enforcement are difficult. It is also necessary to integrate the concept of low-carbon ecology (LCE) into URP and construction. In the specific construction process, the concept of LCE should be fully integrated, and the URP and construction system should be continuously optimized to achieve effective optimization of URP and construction and promote the coordinated and stable development of the urban–rural economy.

Urban and rural development has always been a highly concerned issue for governments at all levels, and academic research on urban and rural development has also emerged endlessly. Lam Schuman defined the framework for urban–rural development based on the indicator-based MHN (Maslow’s Hierarchy of Needs) model. By adopting innovative methods, he reconnects the classic MHN theory with contemporary sustainable URP to narrow the gap in urban–rural development [1]. Chen described the urban–rural coordinated development issues in Chengdu and Chongqing, China, and analyzed the urban–rural integration development strategies in Shanghai and Suzhou. He also discussed the forms of urban–rural integration in China’s most developed megalopolis, as well as their impact on other cities in China and developing countries at different stages of development [2]. Wang aims to test the impact of Internet development on the income gap between urban and rural development in China [3]. Van Jasper explored the relationship between urban and rural development from the perspective of land use and believed that land use should be described along a gradient from rural to urban areas. For the analysis of rural and urban land use systems, more inclusive methods need to be adopted for analysis [4]. Lin aimed to explore the driving forces of urban and rural tourism development [5]. However, these scholars’ research on urban–rural development is not comprehensive enough, and further exploration is needed from the urban–rural perspective.

The relationship between urban and rural areas can be seen as the relationship between the central and peripheral areas, where cities and rural areas complement each other and promote the development of urban and rural economies. There are also relevant reports on research on urban and rural areas. Iderawumi Abdulraheem Mukhtar conducted a questionnaire survey to investigate the impact of migration from rural to urban areas on education and economic development, focusing on the reasons for urban–rural migration and its impact on students. The survey results indicate that urban–rural migration has different impacts on local government education and development, leading to labor shortages, lack of qualified talent, and low productivity, which is not conducive to urban–rural development [6]. Mui aimed to explore a more comprehensive and comprehensive health approach to strengthen the food system in urban and rural jurisdictions. The survey results show that the comprehensive plan is most likely to solve the food system problems in urban and rural jurisdiction areas [7]. Sukhwani proposed a knowledge-based conceptual framework for addressing the issue of urban–rural resource supply in the Nagpur metropolitan area of India. This framework showcases the overall flow of water resources between urban and rural areas, especially from the perspective of the water–energy–energy–food relationship. Based on the developed framework, he proposed the future direction of promoting the connectivity of Nagpur’s intelligent urban–rural development cluster [8]. Overall, there is not much research on urban and rural areas. To improve the relevant research on URP and construction, it is necessary to evaluate and analyze LCE URP and construction based on energy planning mechanisms.

Based on the energy planning mechanism, this article analyzes the energy planning issues in urban and rural areas. By analyzing the requirements for URP and construction, it points out some shortcomings in URP and construction and provides corresponding solutions. To optimize and improve URP and construction, this article also integrates the concept of LCE, scientifically manages URP and construction from multiple aspects, and constructs a LCE URP and construction evaluation system. It aims to use this evaluation system to effectively evaluate urban and rural carbon emissions issues, providing strong data support for optimizing urban and rural energy planning.

2 Energy planning, LCE concepts, and URP and construction

2.1 Urban energy planning and rural energy planning

Energy planning refers to the primary goal of meeting national economic and social development. Based on the predicted results of energy, this article makes reasonable planning and scientific deployment for the development scale, overall layout, and construction funds of the annual energy supply [9].

2.1.1 Urban energy planning

To plan urban energy, it is necessary to comprehensively predict the demand for urban energy, to maintain a balanced state of energy supply and demand. It also needs to optimize the energy structure reasonably to ensure an effective energy supply, promote the implementation of energy-saving technical measures, and carry out energy-saving work. By analyzing the output and demand of energy, this article designs the energy system planning scheme and comprehensively evaluates the scheme from multiple aspects such as economic, social, and environmental benefits, to achieve the optimization of the scheme. In the design of the plan, the main objective should be to control carbon emissions and emission intensity. This article combines building energy efficiency standards and energy consumption data information to determine the total energy consumption and carbon emissions under normal circumstances. To plan the urban energy system, it is necessary to set some control indicators and decompose them into different regions to achieve reasonable control of energy consumption. When planning land use, urban transportation, green spaces, ecology, etc., it is also necessary to organically integrate with low-carbon energy system planning. For the planning of different energy projects, it is also necessary to fully coordinate their relationships to achieve the balanced development of various energy projects.

2.1.2 Rural energy planning

Planning the power system requires setting a reasonable power load value based on the local economic development situation. Rural areas with relatively affluent economies would also have higher power load values. For the setting of power load values, a specific analysis needs to be conducted in conjunction with local climate conditions. If the temperature in the region is relatively high all year round, then the requirements for power load in the region would be relatively high. If the temperature in the region is relatively low all year round, then the electricity load in the region would be lower because coal can be used for heating to reduce the electricity load. In addition to the above, it is also necessary to consider the local resource conditions and the existence of other available energy sources, such as solar energy, wind energy, biomass energy, and so on. The use of these energy sources can also achieve the goal of reducing the electricity load.

Due to the relatively low level of economic development in many rural areas and the scattered layout of each village, it is not suitable to implement centralized heating and gas supply services. Therefore, it is necessary to optimize the energy supply mode and vigorously promote new energy sources to reduce the use of energy such as coal and gas. Specifically, clean energy can be developed based on local economic, environmental, and resource conditions. For example, biogas digesters can be built, crop straw can be used to produce biomass energy, and solar power can be used to build a renewable resource utilization system.

2.2 URP based on LCE

2.2.1 LCE urban and rural areas

The LCE, urban, and rural areas integrate the low-carbon concept and URP. Under the low-carbon concept, social development can be ensured by reducing carbon dioxide emissions. It also helps to achieve the goal of energy conservation, improve environmental pollution, and promote sustainable economic development. In the process of urban and rural development, there would inevitably be phenomena of damaging the ecological environment, which would have adverse effects [10]. This article integrates the low-carbon concept into URP, which would also be well reflected in urban and rural transportation and infrastructure construction, helping to promote the circular development of urban and rural economies.

2.2.2 LCE development model for URP

Under the LCE development model of URP, the implementation of URP-related work appears to be smoother, which mainly includes the following aspects.

2.2.2.1 People-oriented

In the process of URP, it is necessary to follow the people-oriented concept, which is also a prerequisite for implementing the LCE concept. Putting people first refers to achieving the overall development of society under the premise of protecting the ecological environment and the goal of human long-term development. Simply put, it is to improve human production methods and the living environment by developing a low-carbon economy. To achieve the people-oriented concept, it is also necessary to ensure harmonious coexistence between humans and nature, and the natural environment should not be adversely affected by economic development.

2.2.2.2 Energy conservation and emission reduction

In the process of URP, energy conservation, and emission reduction are one of the goals that need to be achieved. The concept of energy conservation and emission reduction is highly similar to the concept of low-carbon environmental protection, both of which emphasize reducing carbon dioxide emissions to achieve the goal of protecting the environment and ecology. To achieve the goals, relevant energy-saving technologies need to be applied to URP. When carrying out construction projects, more energy-saving materials should be used to promote the construction of LCE URP.

2.2.3 Problems in LCE urban–rural development

In recent years, there have been significant breakthroughs in the development of LCE, urban, and rural areas, but there are still many shortcomings, mainly manifested in the following aspects:

2.2.3.1 Incomplete theoretical system

Although there is increasing theoretical research on LCE urban–rural development, overall, the theoretical system research in this area is still not perfect. Many local governments, when formulating relevant systems and evaluation indicators, have unclear goals and weak directionality, and there is also a phenomenon of blindly following the trend. As a result, there has been an excessive pursuit of urban and rural greening and a high reliance on emerging technologies, resulting in high investment costs in urban and rural construction, and increasing construction costs. This completely violates the development concept of LCE, urban, and rural areas.

2.2.3.2 Significant regional disparities

From the perspective of ecological, urban, and rural low-carbon pilot projects in most regions of China, there are problems of strong in the east and weak in the West, with urban areas being more important than rural areas. The construction of ecological low-carbon urban and rural areas is not limited to economically developed urban and rural areas. For small- and medium-sized cities with relatively underdeveloped economies, it is still necessary to actively explore new LCE, urban, and rural development models. However, based on the current situation, the research on LCE urban–rural construction in the western region and some underdeveloped rural areas is not in-depth enough, and the planning and transformation plans for old urban areas are also not mature enough. Relatively weak, there is insufficient practical research on energy-saving renovation in old cities.

2.3 URP and construction

2.3.1 Requirements for URP and construction

Due to China’s large population and relatively scarce resources, to promote the coordinated development of the urban and rural economy, it is also necessary to pay attention to the rational allocation of urban and rural resources [11].

Cities are at the core of regional development, and their economic and social strength is constantly increasing. With the help of transportation, information, commodities, and other network systems, they have strengthened their connections with surrounding areas and driven the development of the surrounding township economy. It can be seen that different regions have certain advantages, which can fully leverage the advantages of each region to develop an export-oriented economy and promote economic cooperation and development between urban and rural areas. While developing core cities, it is also necessary to continue promoting the development of small cities to achieve the common development of multiple cities’ economies.

2.3.2 Outstanding issues in URP and construction

2.3.2.1 Lack of planning in URP and construction management

For the management of URP and construction, administrative management is adopted, fully reflecting the wishes of local governments. In the process of URP and construction management, there is insufficient standardization in the management of related work. When the government formulates a plan, the development strategic objectives are not clear enough, the feasible time of the plan is relatively short, and it does not have long-term significance, which is not conducive to the orderly progress of URP, construction, and management work.

2.3.2.2 Lack of completeness in the URP system

The failure to establish a sound URP system is also a long-standing problem in URP and construction management, which leads to a certain degree of blindness in the implementation process of URP work [12]. At present, many URP systems are difficult to effectively integrate with regional development, with a weak sense of hierarchy, resulting in the problem of duplicate construction in the same area. This can bring certain losses and waste to economic construction, and increase the difficulty of URP and construction management.

2.3.2.3 Difficulty in law enforcement of URP and construction management

In the process of URP and construction management, there are still difficulties in law enforcement, mainly due to the following reasons: The excessive power of the government greatly restricts the orderly progress of URP and construction management. In the process of law enforcement, law enforcement personnel are affected by various factors, making it difficult to effectively enforce the law; some enterprises and individuals pursue economic benefits unilaterally and adopt abnormal methods, occupying a large amount of public resources. For many buildings to be demolished, many residents would rather be fined than demolished, which seriously affects the progress of the demolition work.

2.3.3 Strategies for URP and construction

2.3.3.1 Developing and improving the URP construction system

To improve the URP and construction system, it is necessary to coordinate various interest relationships between urban and rural areas in multiple ways to ensure the orderly progress of URP and construction work. In URP and construction, it is necessary to always adhere to the concept of “people-oriented,” and the corresponding planning and construction should be aimed at facilitating people’s lives and providing the most convenient services to the people. People also need to guide more relevant personnel to participate in the overall planning and construction of urban and rural areas, increase the management of URP and construction, and achieve the healthy development of URP and construction.

2.3.3.2 Emphasize the management of URP and construction

Scientific management of urban planning and construction is essential, and the role of URP and construction in social and economic development is also essential. Nowadays, the urban population has become saturated, and focusing on developing the urban economy can help accelerate the development process of urbanization.

2.3.3.3 Establish and improve relevant legal systems

People need to fully leverage the leading role of local governments in urban and rural law enforcement, increase law enforcement efforts, and adhere to legal administration to improve the planning capacity of URP and construction management [13]. The government should also increase the punishment for all illegal activities to ensure the smooth progress of URP and construction management, which helps to provide a good law enforcement environment for local governments. At present, there are still many problems in the management of URP and construction in the process of administering according to the law, which has brought great difficulty to the government’s supervision. Therefore, it is necessary to effectively enhance the authority of URP supervision personnel, enhance the authority of supervision, and ensure the smooth implementation of URP policies.

2.4 URP and construction under LCE

2.4.1 Transformation of URP under LCE

When constructing the urban planning system, relevant personnel focus more on optimizing at the technical level and lack consideration for issues such as urban environmental systems, energy utilization, and urban safety. The planning of carbon emissions is also not reasonable enough. Under the concept of LCE, this article constructs a target system for LCE planning, as shown in Figure 1. It applies the concept of LCE to URP and construction to achieve the coordinated development of urban and rural economies.

Figure 1 Target system of LCE planning.
Figure 1

Target system of LCE planning.

In the past, the construction of URP was mainly focused on economic growth, spatial construction, and land use, which had certain limitations [14]. Nowadays, it is still necessary to optimize URP and construction based on the ecosystem and expand the breadth of URP and construction. By integrating the concept of LCE into URP and construction, it can vigorously develop clean energy and promote the development of a recyclable economy. This article considers multiple aspects such as nature, society, and economy to construct a comprehensive urban–rural ecosystem. It integrates the concepts of low-carbon, ecological, and intensive development into URP and construction to achieve scientific URP and construction and promote the friendly development of urban and rural economies.

2.4.2 Evaluation system for LCE URP and construction

There are many evaluation methods available for evaluating carbon emissions in URP and construction. In general, an evaluation framework can be constructed based on the carbon emission sources in the overall urban–rural control plan, and the general evaluation framework can be divided according to the main policy areas and functions. The focus of urban and rural carbon emissions varies among different cities, and the framework for evaluating urban and rural carbon emissions is shown in Figure 2. This is mainly because different cities also have certain differences in planning, control, and development goals, and a specific analysis needs to be conducted based on the actual situation [15]. In this evaluation framework, the evaluation of urban and rural carbon emissions mainly involves analyzing and calculating the total carbon emissions of urban and rural areas in the context of the overall URP plan, and extracting relevant evaluation indicator systems based on URP data. By constructing different types of summary tables, this article analyzes the energy consumption of each module to determine the emission factors of each module and obtains a summary table of energy consumption and carbon emissions for each activity.

Figure 2 Carbon emission assessment framework for LCE, urban, and rural areas.
Figure 2

Carbon emission assessment framework for LCE, urban, and rural areas.

3 Scale of URP and construction land based on artificial neural network (ANN)

3.1 ANN model

Based on the analysis of the scale of urban and rural construction land (URCL), this article assumes that there is a certain functional relationship between the scale of URCL and the indicator values of different influencing factors. By utilizing the historical scale statistical data of URCL, an ANN model is established, in which the data are trained for function fitting [16]. Using historical scale statistical data, this article analyzes different influencing factor indices and calculates the scale of URCL using a fitting function. The formula is expressed as:

(1) Q = w ( e 1 , e 2 , … , e m ) .

Among them, Q represents the scale of URCL, e 1 , e 2 , … , e m represents the indicator values of various influencing factors, and w represents the function to be fitted.

The correlation coefficient can be used to describe the closeness of the relationship between two variables, expressed as:

(2) t eb = ∑ j = 1 m ( e j − e ̅ ) ( b j − b ̅ ) ∑ j = 1 m ( e j − e ̅ ) 2 ∑ j = 1 m ( b j − b ̅ ) 2 ,

where t eb represents the correlation coefficient between elements e and b .

After calculating the correlation coefficient between elements, it is also necessary to test them, and the formula is:

(3) t = m − 2 ∙ t 1 − t 2 .

Among them, t represents the correlation coefficient, m represents the number of sample observations, and m − 2 represents the degree of freedom.

In ANN, the transfer function is generally an S (Sigmaid)-type function, with the formula:

(4) y ( e ) = 1 1 + u − e .

To ensure the best performance of the input data within a specific range, it is also necessary to preprocess the sample data. The formula is:

(5) E j = E − E min E max − E min .

After preprocessing, there would be a minimum and maximum value in the S-shaped function of the data, which would affect the training speed of the model and slow down the training speed. Therefore, further preprocessing of the data is necessary, and the formula is:

(6) E j ′ = 1 − 1 0.247 + ( 1.329 − 0.247 ) ( e − ) minimax − e min .

After two preprocessing operations, the sample data can not only effectively prevent the data from entering the saturation zone and improve the learning speed of the network, but also enhance the generalization ability of the network and improve its performance.

3.2 Experimental testing of URP and construction land scale

To verify the effectiveness of the ANN algorithm in predicting the scale of URP and construction land, this article takes a certain area as the research object and plans the URCL in that area. This article combines ANN algorithms to conduct relevant experimental tests on URP and construction land in the region and compares them with other algorithms. The experimental results are shown in the following.

3.2.1 URCL scale testing

To compare the differences between different algorithms in URP and construction, this article conducted a test and analysis of the construction land scale after the implementation of planning and construction in the region from 2010 to 2020. The test results are shown in Figure 3.

Figure 3 URCL scale under different algorithms.
Figure 3

URCL scale under different algorithms.

By analyzing the changes in the scale of URCL in the region over the years, it can be seen whether the URP and construction land in the region are reasonable. The slower the growth rate of construction land scale, the more reasonable the planning of construction land. From the data in Figure 3, it can be seen that under different algorithms, there are significant differences in the test results of the scale of construction land over the years. The scale of construction land in the region is constantly expanding, showing a steady upward trend [17]. Under the algorithm in this article, the scale of construction land reached 672,400 acres in 2010, and by 2020, the scale of construction land in the region had increased to 811,900 acres. Overall, the growth rate of construction land scale is relatively slow, with a growth of 139,500 mu in the past 11 years. Under the machine learning algorithm, the growth rate of the construction land scale would be relatively fast. In 2010, the scale of construction land was only 612,100 acres. By 2020, the scale of construction land had reached 931,400 acres, with an increase of 319,300 acres over the past 11 years. Under the deep learning algorithm, the scale of construction land has also grown rapidly, reaching 632,700 mu in 2010 and 927,400 mu in 2020. Over the past 11 years, the scale of construction land has increased by 294,700 mu. From the data, it can be seen that under the algorithm proposed in this article, the growth rate of construction land scale in the region is slower, indicating that the algorithm can have a good planning effect on URCL in the region.

3.2.2 of Per-capita URCL Area

To further compare the advantages and disadvantages of different algorithms, this article also conducted an experimental analysis on the per capita URCL area, and the experimental results are shown in Figure 4.

Figure 4 Test of per capita URCL area under different algorithms.
Figure 4

Test of per capita URCL area under different algorithms.

The per capita URCL area can be used to reflect whether the planning of URCL is reasonable. The slower the reduction rate of per capita URCL area, the more reasonable the planning of construction users in the region. From Figure 4, it can be seen that different algorithms have different testing results for the per capita URCL area in the region. Under the algorithm in this article, the per capita URCL area was 385.4 m2 in 2010, but by 2020, it had decreased to 354.8 m2. Over the past 11 years, the reduction in URCL area was 30.6 m2. Under the machine learning algorithm, the per capita URCL area was 395.6 m2 in 2010, and by 2020, the per capita URCL area was 348.5 m2. The rate of reduction is relatively fast, with the per capita URCL area decreasing by 47.1 m2 over the past 11 years. Under the deep learning algorithm, in 2010, the per capita URCL area was 389.4 m2. By 2020, the per capita area of URCL has decreased to 351.7 m2, and over the past 11 years, the area of URCL has decreased by 37.7 m2. From the data, it can be seen that under the algorithm proposed in this article, the per capita urban and rural construction area in the region has decreased more slowly, indicating that the algorithm can effectively plan URCL.

3.2.3 Gross domestic product (GDP) output test of URCL

To comprehensively compare the differences between different algorithms in URP and construction, this article conducted a test analysis on the GDP output of URCL in the region from 2000 to 2020. The test results are shown in Figure 5.

Figure 5 GDP output test of URCL under different algorithms.
Figure 5

GDP output test of URCL under different algorithms.

The GDP output of URCL can be used to measure the level of intensive utilization of URCL in the region. The higher the GDP output of URCL, the higher the level of intensive utilization. As shown in Figure 5, there are certain differences in the test results of the GDP output of URCL under different algorithms. Under the algorithm in this article, from 2000 to 2020, the GDP output of URCL in the region continued to grow. In 2000, the GDP output of URCL was only 1.035 billion yuan, but by 2020, it had risen to 7.036 billion yuan. During this period, the GDP output of URCL increased by 6.001 billion yuan. Under the machine learning algorithm, the GDP output of URCL in the region also shows a stable upward trend. Overall, the output would be relatively low. In 2000, the GDP output of URCL was 531 million yuan, and by 2020, the output had reached 4.582 billion yuan. During this period, the GDP output of URCL increased by 4.051 billion yuan. Under the deep learning algorithm, in 2010, the GDP output of URCL in the region was 836 million yuan. In 2020, the GDP output of URCL reached 5.922 billion yuan. During this period, the GDP output of URCL increased by 5.086 billion yuan. In summary, under the algorithm in this article, the GDP output growth value of URCL is the highest, indicating that this algorithm can effectively improve the intensive utilization level of URCL and effectively plan URCL.

4 Conclusions

URP is an important task. This article analyzed the prominent problems in URP and construction based on the current situation and provided optimization strategies for URP and construction in response to specific problems. This article applied the concept of LCE to URP and construction and constructed an evaluation system for LCE URP and construction. This article also combines ANN algorithms to conduct relevant experimental tests on the scale of URP and construction land. The experimental results show that under the algorithm proposed in this article, the annual growth rate of URCL scale is relatively slow, the reduction rate of per capita URCL area is slowed down, and the GDP output growth rate of URCL is accelerated. It indicates that this algorithm can effectively improve the intensive utilization level of URCL, control the growth rate of construction land scale, and effectively plan URCL. Due to limitations in experimental conditions, this experiment only conducted experimental analysis on the scale of urban and rural construction land, per capita urban and rural construction land area, and GDP output of urban and rural construction land. Other aspects were not studied. In future research work, ANN algorithms need to continuously adapt to the actual needs of URP and construction, improve their performance, and provide more effective assistance for promoting LCE URP and construction.

  1. Funding information: This work was supported by Gansu Dongxi Travel Agency Corporation Site Selection Landscape Design Project (LZCU-KJ/2019-007).

  2. Conflict of interest: Author states no conflict of interest.

  3. Data availability statement: Data sharing not applicable to this article as no datasets were generated or analysedduring the current study.

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Received: 2023-05-19
Revised: 2023-08-23
Accepted: 2023-08-23
Published Online: 2023-10-16

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  8. Assessments of recent Global Geopotential Models based on GPS/levelling and gravity data along coastal zones of Egypt
  9. Accuracy assessment and improvement of SRTM, ASTER, FABDEM, and MERIT DEMs by polynomial and optimization algorithm: A case study (Khuzestan Province, Iran)
  10. Uncertainty assessment of 3D geological models based on spatial diffusion and merging model
  11. Evaluation of dynamic behavior of varved clays from the Warsaw ice-dammed lake, Poland
  12. Impact of AMSU-A and MHS radiances assimilation on Typhoon Megi (2016) forecasting
  13. Contribution to the building of a weather information service for solar panel cleaning operations at Diass plant (Senegal, Western Sahel)
  14. Measuring spatiotemporal accessibility to healthcare with multimodal transport modes in the dynamic traffic environment
  15. Mathematical model for conversion of groundwater flow from confined to unconfined aquifers with power law processes
  16. NSP variation on SWAT with high-resolution data: A case study
  17. Reconstruction of paleoglacial equilibrium-line altitudes during the Last Glacial Maximum in the Diancang Massif, Northwest Yunnan Province, China
  18. A prediction model for Xiangyang Neolithic sites based on a random forest algorithm
  19. Determining the long-term impact area of coastal thermal discharge based on a harmonic model of sea surface temperature
  20. Origin of block accumulations based on the near-surface geophysics
  21. Investigating the limestone quarries as geoheritage sites: Case of Mardin ancient quarry
  22. Population genetics and pedigree geography of Trionychia japonica in the four mountains of Henan Province and the Taihang Mountains
  23. Performance audit evaluation of marine development projects based on SPA and BP neural network model
  24. Study on the Early Cretaceous fluvial-desert sedimentary paleogeography in the Northwest of Ordos Basin
  25. Detecting window line using an improved stacked hourglass network based on new real-world building façade dataset
  26. Automated identification and mapping of geological folds in cross sections
  27. Silicate and carbonate mixed shelf formation and its controlling factors, a case study from the Cambrian Canglangpu formation in Sichuan basin, China
  28. Ground penetrating radar and magnetic gradient distribution approach for subsurface investigation of solution pipes in post-glacial settings
  29. Research on pore structures of fine-grained carbonate reservoirs and their influence on waterflood development
  30. Risk assessment of rain-induced debris flow in the lower reaches of Yajiang River based on GIS and CF coupling models
  31. Multifractal analysis of temporal and spatial characteristics of earthquakes in Eurasian seismic belt
  32. Surface deformation and damage of 2022 (M 6.8) Luding earthquake in China and its tectonic implications
  33. Differential analysis of landscape patterns of land cover products in tropical marine climate zones – A case study in Malaysia
  34. DEM-based analysis of tectonic geomorphologic characteristics and tectonic activity intensity of the Dabanghe River Basin in South China Karst
  35. Distribution, pollution levels, and health risk assessment of heavy metals in groundwater in the main pepper production area of China
  36. Study on soil quality effect of reconstructing by Pisha sandstone and sand soil
  37. Understanding the characteristics of loess strata and quaternary climate changes in Luochuan, Shaanxi Province, China, through core analysis
  38. Dynamic variation of groundwater level and its influencing factors in typical oasis irrigated areas in Northwest China
  39. Creating digital maps for geotechnical characteristics of soil based on GIS technology and remote sensing
  40. Changes in the course of constant loading consolidation in soil with modeled granulometric composition contaminated with petroleum substances
  41. Correlation between the deformation of mineral crystal structures and fault activity: A case study of the Yingxiu-Beichuan fault and the Milin fault
  42. Cognitive characteristics of the Qiang religious culture and its influencing factors in Southwest China
  43. Spatiotemporal variation characteristics analysis of infrastructure iron stock in China based on nighttime light data
  44. Interpretation of aeromagnetic and remote sensing data of Auchi and Idah sheets of the Benin-arm Anambra basin: Implication of mineral resources
  45. Building element recognition with MTL-AINet considering view perspectives
  46. Characteristics of the present crustal deformation in the Tibetan Plateau and its relationship with strong earthquakes
  47. Influence of fractures in tight sandstone oil reservoir on hydrocarbon accumulation: A case study of Yanchang Formation in southeastern Ordos Basin
  48. Nutrient assessment and land reclamation in the Loess hills and Gulch region in the context of gully control
  49. Handling imbalanced data in supervised machine learning for lithological mapping using remote sensing and airborne geophysical data
  50. Spatial variation of soil nutrients and evaluation of cultivated land quality based on field scale
  51. Lignin analysis of sediments from around 2,000 to 1,000 years ago (Jiulong River estuary, southeast China)
  52. Assessing OpenStreetMap roads fitness-for-use for disaster risk assessment in developing countries: The case of Burundi
  53. Transforming text into knowledge graph: Extracting and structuring information from spatial development plans
  54. A symmetrical exponential model of soil temperature in temperate steppe regions of China
  55. A landslide susceptibility assessment method based on auto-encoder improved deep belief network
  56. Numerical simulation analysis of ecological monitoring of small reservoir dam based on maximum entropy algorithm
  57. Morphometry of the cold-climate Bory Stobrawskie Dune Field (SW Poland): Evidence for multi-phase Lateglacial aeolian activity within the European Sand Belt
  58. Adopting a new approach for finding missing people using GIS techniques: A case study in Saudi Arabia’s desert area
  59. Geological earthquake simulations generated by kinematic heterogeneous energy-based method: Self-arrested ruptures and asperity criterion
  60. Semi-automated classification of layered rock slopes using digital elevation model and geological map
  61. Geochemical characteristics of arc fractionated I-type granitoids of eastern Tak Batholith, Thailand
  62. Lithology classification of igneous rocks using C-band and L-band dual-polarization SAR data
  63. Analysis of artificial intelligence approaches to predict the wall deflection induced by deep excavation
  64. Evaluation of the current in situ stress in the middle Permian Maokou Formation in the Longnüsi area of the central Sichuan Basin, China
  65. Utilizing microresistivity image logs to recognize conglomeratic channel architectural elements of Baikouquan Formation in slope of Mahu Sag
  66. Resistivity cutoff of low-resistivity and low-contrast pays in sandstone reservoirs from conventional well logs: A case of Paleogene Enping Formation in A-Oilfield, Pearl River Mouth Basin, South China Sea
  67. Examining the evacuation routes of the sister village program by using the ant colony optimization algorithm
  68. Spatial objects classification using machine learning and spatial walk algorithm
  69. Study on the stabilization mechanism of aeolian sandy soil formation by adding a natural soft rock
  70. Bump feature detection of the road surface based on the Bi-LSTM
  71. The origin and evolution of the ore-forming fluids at the Manondo-Choma gold prospect, Kirk range, southern Malawi
  72. A retrieval model of surface geochemistry composition based on remotely sensed data
  73. Exploring the spatial dynamics of cultural facilities based on multi-source data: A case study of Nanjing’s art institutions
  74. Study of pore-throat structure characteristics and fluid mobility of Chang 7 tight sandstone reservoir in Jiyuan area, Ordos Basin
  75. Study of fracturing fluid re-discharge based on percolation experiments and sampling tests – An example of Fuling shale gas Jiangdong block, China
  76. Impacts of marine cloud brightening scheme on climatic extremes in the Tibetan Plateau
  77. Ecological protection on the West Coast of Taiwan Strait under economic zone construction: A case study of land use in Yueqing
  78. The time-dependent deformation and damage constitutive model of rock based on dynamic disturbance tests
  79. Evaluation of spatial form of rural ecological landscape and vulnerability of water ecological environment based on analytic hierarchy process
  80. Fingerprint of magma mixture in the leucogranites: Spectroscopic and petrochemical approach, Kalebalta-Central Anatolia, Türkiye
  81. Principles of self-calibration and visual effects for digital camera distortion
  82. UAV-based doline mapping in Brazilian karst: A cave heritage protection reconnaissance
  83. Evaluation and low carbon ecological urban–rural planning and construction based on energy planning mechanism
  84. Modified non-local means: A novel denoising approach to process gravity field data
  85. A novel travel route planning method based on an ant colony optimization algorithm
  86. Effect of time-variant NDVI on landside susceptibility: A case study in Quang Ngai province, Vietnam
  87. Regional tectonic uplift indicated by geomorphological parameters in the Bahe River Basin, central China
  88. Computer information technology-based green excavation of tunnels in complex strata and technical decision of deformation control
  89. Spatial evolution of coastal environmental enterprises: An exploration of driving factors in Jiangsu Province
  90. A comparative assessment and geospatial simulation of three hydrological models in urban basins
  91. Aquaculture industry under the blue transformation in Jiangsu, China: Structure evolution and spatial agglomeration
  92. Quantitative and qualitative interpretation of community partitions by map overlaying and calculating the distribution of related geographical features
  93. Numerical investigation of gravity-grouted soil-nail pullout capacity in sand
  94. Analysis of heavy pollution weather in Shenyang City and numerical simulation of main pollutants
  95. Road cut slope stability analysis for static and dynamic (pseudo-static analysis) loading conditions
  96. Forest biomass assessment combining field inventorying and remote sensing data
  97. Late Jurassic Haobugao granites from the southern Great Xing’an Range, NE China: Implications for postcollision extension of the Mongol–Okhotsk Ocean
  98. Petrogenesis of the Sukadana Basalt based on petrology and whole rock geochemistry, Lampung, Indonesia: Geodynamic significances
  99. Numerical study on the group wall effect of nodular diaphragm wall foundation in high-rise buildings
  100. Water resources utilization and tourism environment assessment based on water footprint
  101. Geochemical evaluation of the carbonaceous shale associated with the Permian Mikambeni Formation of the Tuli Basin for potential gas generation, South Africa
  102. Detection and characterization of lineaments using gravity data in the south-west Cameroon zone: Hydrogeological implications
  103. Study on spatial pattern of tourism landscape resources in county cities of Yangtze River Economic Belt
  104. The effect of weathering on drillability of dolomites
  105. Noise masking of near-surface scattering (heterogeneities) on subsurface seismic reflectivity
  106. Query optimization-oriented lateral expansion method of distributed geological borehole database
  107. Petrogenesis of the Morobe Granodiorite and their shoshonitic mafic microgranular enclaves in Maramuni arc, Papua New Guinea
  108. Environmental health risk assessment of urban water sources based on fuzzy set theory
  109. Spatial distribution of urban basic education resources in Shanghai: Accessibility and supply-demand matching evaluation
  110. Spatiotemporal changes in land use and residential satisfaction in the Huai River-Gaoyou Lake Rim area
  111. Walkaway vertical seismic profiling first-arrival traveltime tomography with velocity structure constraints
  112. Study on the evaluation system and risk factor traceability of receiving water body
  113. Predicting copper-polymetallic deposits in Kalatag using the weight of evidence model and novel data sources
  114. Temporal dynamics of green urban areas in Romania. A comparison between spatial and statistical data
  115. Passenger flow forecast of tourist attraction based on MACBL in LBS big data environment
  116. Varying particle size selectivity of soil erosion along a cultivated catena
  117. Relationship between annual soil erosion and surface runoff in Wadi Hanifa sub-basins
  118. Influence of nappe structure on the Carboniferous volcanic reservoir in the middle of the Hongche Fault Zone, Junggar Basin, China
  119. Dynamic analysis of MSE wall subjected to surface vibration loading
  120. Pre-collisional architecture of the European distal margin: Inferences from the high-pressure continental units of central Corsica (France)
  121. The interrelation of natural diversity with tourism in Kosovo
  122. Assessment of geosites as a basis for geotourism development: A case study of the Toplica District, Serbia
  123. IG-YOLOv5-based underwater biological recognition and detection for marine protection
  124. Monitoring drought dynamics using remote sensing-based combined drought index in Ergene Basin, Türkiye
  125. Review Articles
  126. The actual state of the geodetic and cartographic resources and legislation in Poland
  127. Evaluation studies of the new mining projects
  128. Comparison and significance of grain size parameters of the Menyuan loess calculated using different methods
  129. Scientometric analysis of flood forecasting for Asia region and discussion on machine learning methods
  130. Rainfall-induced transportation embankment failure: A review
  131. Rapid Communication
  132. Branch fault discovered in Tangshan fault zone on the Kaiping-Guye boundary, North China
  133. Technical Note
  134. Introducing an intelligent multi-level retrieval method for mineral resource potential evaluation result data
  135. Erratum
  136. Erratum to “Forest cover assessment using remote-sensing techniques in Crete Island, Greece”
  137. Addendum
  138. The relationship between heat flow and seismicity in global tectonically active zones
  139. Commentary
  140. Improved entropy weight methods and their comparisons in evaluating the high-quality development of Qinghai, China
  141. Special Issue: Geoethics 2022 - Part II
  142. Loess and geotourism potential of the Braničevo District (NE Serbia): From overexploitation to paleoclimate interpretation
https://doi.org/10.1515/geo-2022-0538
Keywords for this article
energy planning; low carbon ecology; urban and rural planning and construction; construction land scale; artificial neural network
Creative Commons
BY 4.0

Articles in the same Issue

  1. Regular Articles
  2. Diagenesis and evolution of deep tight reservoirs: A case study of the fourth member of Shahejie Formation (cg: 50.4-42 Ma) in Bozhong Sag
  3. Petrography and mineralogy of the Oligocene flysch in Ionian Zone, Albania: Implications for the evolution of sediment provenance and paleoenvironment
  4. Biostratigraphy of the Late Campanian–Maastrichtian of the Duwi Basin, Red Sea, Egypt
  5. Structural deformation and its implication for hydrocarbon accumulation in the Wuxia fault belt, northwestern Junggar basin, China
  6. Carbonate texture identification using multi-layer perceptron neural network
  7. Metallogenic model of the Hongqiling Cu–Ni sulfide intrusions, Central Asian Orogenic Belt: Insight from long-period magnetotellurics
  8. Assessments of recent Global Geopotential Models based on GPS/levelling and gravity data along coastal zones of Egypt
  9. Accuracy assessment and improvement of SRTM, ASTER, FABDEM, and MERIT DEMs by polynomial and optimization algorithm: A case study (Khuzestan Province, Iran)
  10. Uncertainty assessment of 3D geological models based on spatial diffusion and merging model
  11. Evaluation of dynamic behavior of varved clays from the Warsaw ice-dammed lake, Poland
  12. Impact of AMSU-A and MHS radiances assimilation on Typhoon Megi (2016) forecasting
  13. Contribution to the building of a weather information service for solar panel cleaning operations at Diass plant (Senegal, Western Sahel)
  14. Measuring spatiotemporal accessibility to healthcare with multimodal transport modes in the dynamic traffic environment
  15. Mathematical model for conversion of groundwater flow from confined to unconfined aquifers with power law processes
  16. NSP variation on SWAT with high-resolution data: A case study
  17. Reconstruction of paleoglacial equilibrium-line altitudes during the Last Glacial Maximum in the Diancang Massif, Northwest Yunnan Province, China
  18. A prediction model for Xiangyang Neolithic sites based on a random forest algorithm
  19. Determining the long-term impact area of coastal thermal discharge based on a harmonic model of sea surface temperature
  20. Origin of block accumulations based on the near-surface geophysics
  21. Investigating the limestone quarries as geoheritage sites: Case of Mardin ancient quarry
  22. Population genetics and pedigree geography of Trionychia japonica in the four mountains of Henan Province and the Taihang Mountains
  23. Performance audit evaluation of marine development projects based on SPA and BP neural network model
  24. Study on the Early Cretaceous fluvial-desert sedimentary paleogeography in the Northwest of Ordos Basin
  25. Detecting window line using an improved stacked hourglass network based on new real-world building façade dataset
  26. Automated identification and mapping of geological folds in cross sections
  27. Silicate and carbonate mixed shelf formation and its controlling factors, a case study from the Cambrian Canglangpu formation in Sichuan basin, China
  28. Ground penetrating radar and magnetic gradient distribution approach for subsurface investigation of solution pipes in post-glacial settings
  29. Research on pore structures of fine-grained carbonate reservoirs and their influence on waterflood development
  30. Risk assessment of rain-induced debris flow in the lower reaches of Yajiang River based on GIS and CF coupling models
  31. Multifractal analysis of temporal and spatial characteristics of earthquakes in Eurasian seismic belt
  32. Surface deformation and damage of 2022 (M 6.8) Luding earthquake in China and its tectonic implications
  33. Differential analysis of landscape patterns of land cover products in tropical marine climate zones – A case study in Malaysia
  34. DEM-based analysis of tectonic geomorphologic characteristics and tectonic activity intensity of the Dabanghe River Basin in South China Karst
  35. Distribution, pollution levels, and health risk assessment of heavy metals in groundwater in the main pepper production area of China
  36. Study on soil quality effect of reconstructing by Pisha sandstone and sand soil
  37. Understanding the characteristics of loess strata and quaternary climate changes in Luochuan, Shaanxi Province, China, through core analysis
  38. Dynamic variation of groundwater level and its influencing factors in typical oasis irrigated areas in Northwest China
  39. Creating digital maps for geotechnical characteristics of soil based on GIS technology and remote sensing
  40. Changes in the course of constant loading consolidation in soil with modeled granulometric composition contaminated with petroleum substances
  41. Correlation between the deformation of mineral crystal structures and fault activity: A case study of the Yingxiu-Beichuan fault and the Milin fault
  42. Cognitive characteristics of the Qiang religious culture and its influencing factors in Southwest China
  43. Spatiotemporal variation characteristics analysis of infrastructure iron stock in China based on nighttime light data
  44. Interpretation of aeromagnetic and remote sensing data of Auchi and Idah sheets of the Benin-arm Anambra basin: Implication of mineral resources
  45. Building element recognition with MTL-AINet considering view perspectives
  46. Characteristics of the present crustal deformation in the Tibetan Plateau and its relationship with strong earthquakes
  47. Influence of fractures in tight sandstone oil reservoir on hydrocarbon accumulation: A case study of Yanchang Formation in southeastern Ordos Basin
  48. Nutrient assessment and land reclamation in the Loess hills and Gulch region in the context of gully control
  49. Handling imbalanced data in supervised machine learning for lithological mapping using remote sensing and airborne geophysical data
  50. Spatial variation of soil nutrients and evaluation of cultivated land quality based on field scale
  51. Lignin analysis of sediments from around 2,000 to 1,000 years ago (Jiulong River estuary, southeast China)
  52. Assessing OpenStreetMap roads fitness-for-use for disaster risk assessment in developing countries: The case of Burundi
  53. Transforming text into knowledge graph: Extracting and structuring information from spatial development plans
  54. A symmetrical exponential model of soil temperature in temperate steppe regions of China
  55. A landslide susceptibility assessment method based on auto-encoder improved deep belief network
  56. Numerical simulation analysis of ecological monitoring of small reservoir dam based on maximum entropy algorithm
  57. Morphometry of the cold-climate Bory Stobrawskie Dune Field (SW Poland): Evidence for multi-phase Lateglacial aeolian activity within the European Sand Belt
  58. Adopting a new approach for finding missing people using GIS techniques: A case study in Saudi Arabia’s desert area
  59. Geological earthquake simulations generated by kinematic heterogeneous energy-based method: Self-arrested ruptures and asperity criterion
  60. Semi-automated classification of layered rock slopes using digital elevation model and geological map
  61. Geochemical characteristics of arc fractionated I-type granitoids of eastern Tak Batholith, Thailand
  62. Lithology classification of igneous rocks using C-band and L-band dual-polarization SAR data
  63. Analysis of artificial intelligence approaches to predict the wall deflection induced by deep excavation
  64. Evaluation of the current in situ stress in the middle Permian Maokou Formation in the Longnüsi area of the central Sichuan Basin, China
  65. Utilizing microresistivity image logs to recognize conglomeratic channel architectural elements of Baikouquan Formation in slope of Mahu Sag
  66. Resistivity cutoff of low-resistivity and low-contrast pays in sandstone reservoirs from conventional well logs: A case of Paleogene Enping Formation in A-Oilfield, Pearl River Mouth Basin, South China Sea
  67. Examining the evacuation routes of the sister village program by using the ant colony optimization algorithm
  68. Spatial objects classification using machine learning and spatial walk algorithm
  69. Study on the stabilization mechanism of aeolian sandy soil formation by adding a natural soft rock
  70. Bump feature detection of the road surface based on the Bi-LSTM
  71. The origin and evolution of the ore-forming fluids at the Manondo-Choma gold prospect, Kirk range, southern Malawi
  72. A retrieval model of surface geochemistry composition based on remotely sensed data
  73. Exploring the spatial dynamics of cultural facilities based on multi-source data: A case study of Nanjing’s art institutions
  74. Study of pore-throat structure characteristics and fluid mobility of Chang 7 tight sandstone reservoir in Jiyuan area, Ordos Basin
  75. Study of fracturing fluid re-discharge based on percolation experiments and sampling tests – An example of Fuling shale gas Jiangdong block, China
  76. Impacts of marine cloud brightening scheme on climatic extremes in the Tibetan Plateau
  77. Ecological protection on the West Coast of Taiwan Strait under economic zone construction: A case study of land use in Yueqing
  78. The time-dependent deformation and damage constitutive model of rock based on dynamic disturbance tests
  79. Evaluation of spatial form of rural ecological landscape and vulnerability of water ecological environment based on analytic hierarchy process
  80. Fingerprint of magma mixture in the leucogranites: Spectroscopic and petrochemical approach, Kalebalta-Central Anatolia, Türkiye
  81. Principles of self-calibration and visual effects for digital camera distortion
  82. UAV-based doline mapping in Brazilian karst: A cave heritage protection reconnaissance
  83. Evaluation and low carbon ecological urban–rural planning and construction based on energy planning mechanism
  84. Modified non-local means: A novel denoising approach to process gravity field data
  85. A novel travel route planning method based on an ant colony optimization algorithm
  86. Effect of time-variant NDVI on landside susceptibility: A case study in Quang Ngai province, Vietnam
  87. Regional tectonic uplift indicated by geomorphological parameters in the Bahe River Basin, central China
  88. Computer information technology-based green excavation of tunnels in complex strata and technical decision of deformation control
  89. Spatial evolution of coastal environmental enterprises: An exploration of driving factors in Jiangsu Province
  90. A comparative assessment and geospatial simulation of three hydrological models in urban basins
  91. Aquaculture industry under the blue transformation in Jiangsu, China: Structure evolution and spatial agglomeration
  92. Quantitative and qualitative interpretation of community partitions by map overlaying and calculating the distribution of related geographical features
  93. Numerical investigation of gravity-grouted soil-nail pullout capacity in sand
  94. Analysis of heavy pollution weather in Shenyang City and numerical simulation of main pollutants
  95. Road cut slope stability analysis for static and dynamic (pseudo-static analysis) loading conditions
  96. Forest biomass assessment combining field inventorying and remote sensing data
  97. Late Jurassic Haobugao granites from the southern Great Xing’an Range, NE China: Implications for postcollision extension of the Mongol–Okhotsk Ocean
  98. Petrogenesis of the Sukadana Basalt based on petrology and whole rock geochemistry, Lampung, Indonesia: Geodynamic significances
  99. Numerical study on the group wall effect of nodular diaphragm wall foundation in high-rise buildings
  100. Water resources utilization and tourism environment assessment based on water footprint
  101. Geochemical evaluation of the carbonaceous shale associated with the Permian Mikambeni Formation of the Tuli Basin for potential gas generation, South Africa
  102. Detection and characterization of lineaments using gravity data in the south-west Cameroon zone: Hydrogeological implications
  103. Study on spatial pattern of tourism landscape resources in county cities of Yangtze River Economic Belt
  104. The effect of weathering on drillability of dolomites
  105. Noise masking of near-surface scattering (heterogeneities) on subsurface seismic reflectivity
  106. Query optimization-oriented lateral expansion method of distributed geological borehole database
  107. Petrogenesis of the Morobe Granodiorite and their shoshonitic mafic microgranular enclaves in Maramuni arc, Papua New Guinea
  108. Environmental health risk assessment of urban water sources based on fuzzy set theory
  109. Spatial distribution of urban basic education resources in Shanghai: Accessibility and supply-demand matching evaluation
  110. Spatiotemporal changes in land use and residential satisfaction in the Huai River-Gaoyou Lake Rim area
  111. Walkaway vertical seismic profiling first-arrival traveltime tomography with velocity structure constraints
  112. Study on the evaluation system and risk factor traceability of receiving water body
  113. Predicting copper-polymetallic deposits in Kalatag using the weight of evidence model and novel data sources
  114. Temporal dynamics of green urban areas in Romania. A comparison between spatial and statistical data
  115. Passenger flow forecast of tourist attraction based on MACBL in LBS big data environment
  116. Varying particle size selectivity of soil erosion along a cultivated catena
  117. Relationship between annual soil erosion and surface runoff in Wadi Hanifa sub-basins
  118. Influence of nappe structure on the Carboniferous volcanic reservoir in the middle of the Hongche Fault Zone, Junggar Basin, China
  119. Dynamic analysis of MSE wall subjected to surface vibration loading
  120. Pre-collisional architecture of the European distal margin: Inferences from the high-pressure continental units of central Corsica (France)
  121. The interrelation of natural diversity with tourism in Kosovo
  122. Assessment of geosites as a basis for geotourism development: A case study of the Toplica District, Serbia
  123. IG-YOLOv5-based underwater biological recognition and detection for marine protection
  124. Monitoring drought dynamics using remote sensing-based combined drought index in Ergene Basin, Türkiye
  125. Review Articles
  126. The actual state of the geodetic and cartographic resources and legislation in Poland
  127. Evaluation studies of the new mining projects
  128. Comparison and significance of grain size parameters of the Menyuan loess calculated using different methods
  129. Scientometric analysis of flood forecasting for Asia region and discussion on machine learning methods
  130. Rainfall-induced transportation embankment failure: A review
  131. Rapid Communication
  132. Branch fault discovered in Tangshan fault zone on the Kaiping-Guye boundary, North China
  133. Technical Note
  134. Introducing an intelligent multi-level retrieval method for mineral resource potential evaluation result data
  135. Erratum
  136. Erratum to “Forest cover assessment using remote-sensing techniques in Crete Island, Greece”
  137. Addendum
  138. The relationship between heat flow and seismicity in global tectonically active zones
  139. Commentary
  140. Improved entropy weight methods and their comparisons in evaluating the high-quality development of Qinghai, China
  141. Special Issue: Geoethics 2022 - Part II
  142. Loess and geotourism potential of the Braničevo District (NE Serbia): From overexploitation to paleoclimate interpretation
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