Environmental Protection Regulations Research Articles

Environmental and Climatic Drivers of Phytoplankton Communities in Central Asia.

Artificial water bodies in Central Asia offer unique environments in which to study plankton diversity influenced by topographic barriers. However, the complexity of these ecosystems and limited comprehensive studies in the region challenge our understanding. In this study, we systematically investigated the water environment parameters and phytoplankton community structure by surveying 14 artificial waters on the southern side of the Altai Mountains and the northern and southern sides of the Tianshan Mountains in the Xinjiang region. The survey covered physical and nutrient indicators, and the results showed noticeable spatial differences between waters in different regions. The temperature, dissolved oxygen, total nitrogen, and total phosphorus of artificial water in the southern Altai Mountains vary greatly. In contrast, the waters in the northern Tianshan Mountains have more consistent physical indicators. The results of phytoplankton identification showed that the phytoplankton communities in different regions are somewhat different, with diatom species being the dominant taxon. The cluster analysis and the non-metric multidimensional scaling (NMDS) results also confirmed the variability of the phytoplankton communities in the areas. The variance partitioning analysis (VPA) results showed that climatic and environmental factors can explain some of the variability of the observed data. Nevertheless, the residual values indicated the presence of other unmeasured factors or the influence of stochasticity. This study provides a scientific basis for regional water resource management and environmental protection.

A Fully Connected Neural Network (FCNN) Model to Simulate Karst Spring Flowrates in the Umbria Region (Central Italy)

In the last decades, climate change has led to increasingly frequent drought events within the Mediterranean area, creating an urgent need of a more sustainable management of groundwater resources exploited for drinking and agricultural purposes. One of the most challenging issues is to provide reliable simulations and forecasts of karst spring discharges, whose reduced information, as well as the hydrological processes involving their feeding aquifers, is often a big issue for water service managers and researchers. In order to plan a sustainable water resource exploitation that could face future shortages, the groundwater availability should be assessed by continuously monitoring spring discharge during the hydrological year, using collected data to better understand the past behaviour and, possibly, forecast the future one in case of severe droughts. The aim of this paper is to understand the factors that govern different spring discharge patterns according to rainfall inputs and to present a model, based on artificial neural network (ANN) data training and cross-correlation analyses, to evaluate the discharge of some karst spring in the Umbria region (Central Italy). The model used is a fully connected neural network (FCNN) and has been used both for filling gaps in the spring discharge time series and for simulating the response of six springs to rainfall seasonal patterns from a 20-year continuous daily record, collected and provided by the Regional Environmental Protection Agency (ARPA) of the Umbria region.

The impact of environmental protection regulations on firms’ R&D investment: evidence from China

The impact of environmental protection regulations on firms’ R&D investment: evidence from China

Construction of Wetland Ecological Security Pattern in Wuhan Metropolitan Core Area Considering Wetland Ecological Risk

Wetlands play a crucial role in maintaining biodiversity and ecological balance. Preserving the ecological security of wetlands is critically important for regional environmental protection and sustainable development. However, in the core area of the Wuhan metropolitan circle, which is rapidly urbanizing, its wetlands are more susceptible to external natural environmental risks, such as changes in temperature and rainfall, as well as risks to human activity, such as social and economic activities, urban expansion, land use changes, and population growth. Meanwhile, the internal vulnerability of wetlands in terms of their spatial extent, structure, and functions also exacerbates ecological risks. These factors collectively influence the formation and development of wetland ecological risks. This study aims to comprehensively assess wetland ecological risks in the core area of the Wuhan metropolitan circle by combining external hazards and internal vulnerabilities and to construct and optimize the wetlands’ ecological security pattern. We used the MSPA method to identify potential ecological sources. Additionally, the MCR model was employed to integrate ecological risk assessment results into the resistance surface, identify potential ecological corridors and nodes, construct the wetland ecological security pattern for the urban circle, and propose specific optimization strategies. In total, 31 primary and 106 secondary ecological sources were selected, along with 20 primary and 42 secondary ecological nodes. Furthermore, 10 major ecological corridors were constructed. Considering the landscape characteristics of the wetlands in the core area of the Wuhan metropolitan circle, the southern Yangtze River region will center around the Liangzi Lake group to establish a crucial corridor network, promoting overall wetland restoration and connectivity. Meanwhile, the northern Yangtze River region will form a chain-like distribution along the river, creating diverse ecosystems. This study provides a theoretical foundation for constructing and optimizing the ecological security pattern of wetlands, laying a solid groundwork for promoting regional wetland conservation and sustainable development.

Research on the coupling coordination and spatial spillover effect of industrial development and environmental protection

ABSTRACT Analysing the coordination and spatial spillover effects between industrial development and environmental protection is crucial for regional sustainable development. This paper examines the spatial and temporal evolution characteristics of the coupling coordination level between industrial development and environmental protection, as well as the evolution of the decoupling type within this system. under the evolution of the coupling coordination mode and decoupling model. Additionally, it analyzes the spatial spillover effects using the spatial panel vector autoregression model. The main conclusions are as follows: First, the coordination level between industrial development and environmental protection is increasing over time in each province. Second, the decoupling status of industrial development and environmental protection shows distinct stages, progressing towards strong decoupling over time. Third, regional industrial development has a positive spillover effect on both industrial development and environmental protection in neighbouring regions, whereas regional environmental protection has a negative spillover effect on industrial development but a positive spillover effect on environmental protection in neighbouring regions. This paper suggests that provinces should focus on the synchronisation industrial development and environmental protection and implement differentiated strategies based on their specific conditions. Additionally, joint management and governance should be pursued between neighbouring provinces.

Measuring the performance of Antarctic Treaty decision-making.

Agreements reached at the Antarctic Treaty Consultative Meetings (ATCMs) are among the primary means for addressing Antarctic conservation and environmental protection issues. However, according to contemporary scholars, Antarctic Treaty decision-making is becoming increasingly unresponsive to the rising environmental challenges in the region. We assessed the performance of Antarctic Treaty decision-making by measuring the rate and diversity of decision-making over the last 6 decades. To measure the rate, we counted the number of inputs and outputs of ATCMs and calculated the time taken for legally binding outputs to enter into force. To measure diversity, we calculated the range of topics addressed by the inputs and outputs of ATCMs. The average number of agreements reached per ATCM increased from 1961 to 2022. Although the diversity of Antarctic topics discussed at ATCMs remained consistently high, the diversity of topics on which legally binding agreements were adopted declined significantly. Antarctic issues-including those of highest priority-are now almost entirely dealt with through nonbinding, soft-law agreements. It is plausible that this move away from binding decisions reflects a dynamic governance institution evolving to respond to new pressures. However, we suggest that the change reveals a concerning shift in decision-making behavior and performance, unique to the treaty's history. Soft law is beneficial in some cases, but its overuse diminishes accountability and transparency, significantly reducing the parties' abilities to understand and measure their performance, including the outcomes and impacts of decisions. Although the rate and diversity of ATCM inputs and outputs provide only a partial view of decision-making performance, the exploration of these metrics provides a foundation for asking essential questions about the impacts of Antarctic Treaty governance on the region's environmental protection and conservation.

Environmental protection laws and regulations in healthcare

The European Union and the German federal government have initiated aclimate protection program with guidelines and laws that, for the first time, hold the healthcare sector accountable. The legal provisions have far-reaching implications for hospitals. This article presents the specific provisions to be observed and the best practices for implementing the necessary measures. This study aims to provide aconcise overview of the legal provisions to be observed in the healthcare sector and to highlight support services for implementation. Selective internet research on legal provisions for the healthcare sector and guidance on approach. The EU Corporate Sustainability Reporting Directive (CSRD) with taxonomy came into force on January5, 2023. The Climate Protection Act, which was amended in April 2024, the Energy Efficiency Act (EnEfG), which came into force in January 2024, and the Supply Chain Sustainability Obligations Act (LKSG) are the most important German legal frameworks to be observed. The EU regulations and the German government's laws pose new challenges for hospitals, but are also an opportunity to tackle the necessary measures to reduce greenhouse gas equivalents in astructured manner. Achieving climate neutrality by 2045 is in everyone's interest and can only succeed if all sectors contribute. The healthcare sector has not yet been held accountable, despite its significant contribution of approximately 5% to national greenhouse gas emissions. The legal provisions now trigger anecessary transformation but also pose challenges in day-to-day operations, requiring support services.

The Ecological Environmental Effects and Topographic Gradient Analysis of Transformation in the Production–Living–Ecological Spaces in the Northern Slope of the Tianshan Mountains

Taking the northern slope of the Tianshan Mountains (NSTM) in Xinjiang as the research area, this study analyzes the changes in the Production–Living–Ecological (P-L-E) Spaces and their Ecological Environmental Effects, providing a basis for optimizing the spatial pattern of the P-L-E Spaces and regional ecological environment protection in this area. Based on land use data and DEM data, various methods were used for analysis. These methods include the land use transfer matrix, ecological environment quality index, hot spot analysis, ecological contribution rate, and Terrain Position Index. The analysis focused on changes in the spatial pattern of the P-L-E Spaces from 1980 to 2020. It also examined the spatiotemporal distribution of ecological environment quality (EEQ). Furthermore, it explored the differentiation characteristics of EEQ in terrain gradients. The conclusions are as follows: (1) On the NSTM, Ecological Space decreased while Production and Living Space expanded. From 1980 to 2020, Agricultural Production Space increased rapidly. Industrial Production Space also saw rapid growth during this period. Urban Living Space expanded significantly from 1980 to 2020. Rural Living Space experienced steady growth over the same period. Forest Ecological Space initially increased but later decreased. Water Ecological Space showed an initial increase followed by a decrease from 1980 to 2020. (2) The EEQ first remained stable, declined slightly from 2000 to 2010, improved significantly, and then deteriorated from 2010 to 2020. The distribution of EEQ exhibits a “high in the northwest, low in the southeast” pattern. EEQ hot spots on the NSTM are concentrated in the Tianshan Mountains, with clustering increasing in both northern and southern areas. Cold spots are found in the southern, eastern, and northern NSTMs, with aggregation strengthening in the south and north and slightly weakening in the east. Hot spots of EEQ changes on the NSTM show stable distribution, with stronger aggregation from 2000 to 2020. However, aggregation of cold spots has gradually weakened, yet noticeable aggregation persists throughout the study period. (3) There is a significant gradient difference in EEQ distribution. Higher terrain gradients have a higher EEQ. From 1980 to 2020, lower terrain gradients saw improvement, while higher gradients experienced deterioration. The EEQ on the NSTM has declined, showing significant spatial differences, with better quality on the northern side than the southern side. Future efforts should focus on restoring the environment at lower gradients, mitigating deterioration at higher gradients, and enhancing water conservation in the Tianshan Mountains.

Atmospheric bulk depositions: state-of-the-art and European legislative framework with focus on Italy.

The determination of total atmospheric deposition (bulk) is an essential tool to assess the state of environmental contamination and the consequent exposure of the population to persistent organic pollutants (POPs) through the intake of contaminated food. Over the past 20years, international authorities and the European Union through various pieces of legislation have emphasised the importance of conducting monitoring and studies on depositions to better understand their impact on the environment and human health without setting reference values. Despite the absence of such values, several European countries, through national laws, have adopted limit values and/or guideline values for the deposition fluxes of some organic (dioxins, furans, polychlorinated biphenyls and polycyclic aromatic hydrocarbons) and inorganic persistent pollutants (metals). The aim of this review is both to summarise the present European legislation on depositions both to discuss the different legislations adopted by the various member states. Furthermore, a focus of this paper will be dedicated to the Italian legislation, where there is currently no specific guideline values for POPs in atmospheric deposition. In any case, some national authorities in Italy, such as the National Institute of Health (ISS) and the Regional Environmental Protection Agencies (ARPA), have conducted numerous monitoring activities on depositions, providing the scientific community and policymakers with numerous data on which to establish national reference values.

Exploring the Impact of Financial Development on Water–Energy Efficiency in Western China

The western region of China is a fundamental ecological protection barrier for China. The conflict between regional economic development and ecological environmental protection has always existed in the region. This study first evaluated the water–energy efficiency (WEE) of 11 provinces in western China from 2011 to 2019 using the super-slacks-based model with undesirable outputs and analyzed their spatiotemporal characteristics. It then investigated the influence of financial development level on WEE. The results indicate that (a) the WEE in Western China was at a relatively low level, showing an upward trend from 2011 to 2016 and fluctuating after 2016; (b) financial development levels had U-shaped impacts on the WEE of Western China, which reduced at first and then rose; (c) increasing technological innovation capabilities and trade openness had positive impacts on WEE in Western China, while urbanization level had a negative effect on WEE; and (d) an examination of robustness using two different methods showed that the test results are consistent with the above conclusions. Therefore, this study has robustness. We also put forward corresponding policy suggestions, such as increasing financial support for clean and low-carbon industries, increasing input in science and technology, vigorously developing cleaner and environmentally friendly foreign trade, and implementing a new type of urbanization strategy, to promote the WEE of Western China.

Legal protection of Lake Baikal from microplastics

The annual increase in microplastic pollution of Lake Baikal is a new environmental threat to a unique freshwater ecological system that requires a set of interrelated general (applies to the entire territory of Russia) and special (applies to the Baikal natural territory or its individual parts) legal measures. The forthcoming international and interstate decisions to reduce plastic and microplastic pollution, which will have an impact on the domestic regulation of environmental protection, including the protection of the ecosystems of the Baikal natural territory, are considered. In a systemic relationship, the existing, expected and recommended legal measures for the protection of Lake Baikal from primary and secondary microplastics are shown on the basis of foreign legislation. The consolidation in the Russian legislation of the missing general and special legal measures for the protection of Lake Baikal in relation to pollution with both primary and secondary microplastics is substantiated. It is proposed to create a special council that would coordinate the protective measures taken against microplastic pollution and other negative environmental impacts at the level of the constituent entities of the Russian Federation, Mongolian aimags and their municipalities located within the entire catchment area of Lake Baikal.

Analysis of the multiple drivers of vegetation cover evolution in the Taihangshan-Yanshan region

The Taihangshan-Yanshan region (TYR) is an important ecological barrier area for Beijing-Tianjin-Hebei, and the effectiveness of its ecological restoration and protection is of great significance to the ecological security pattern of North China. Based on the FVC data from 2000 to 2021, residual analysis, parametric optimal geodetector technique (OPGD) and multi-scale geographically weighted regression analysis (MGWR) were used to clarify the the multivariate driving mechanism of the evolution of FVC in the TYR. Results show that: (1) FVC changes in the TYR show a slowly fluctuating upward trend, with an average growth rate of 0.02/10a, and a spatial pattern of "high in the northwest and low in the southeast"; more than half of the FVC increased during the 22-year period. (2) The results of residual analysis showed that the effects of temperature and precipitation on FVC were very limited, and a considerable proportion (80.80% and 76.78%) of the improved and degraded areas were influenced by other factors. (3) The results of OPGD showed that the main influencing factors of the spatial differentiation of FVC included evapotranspiration, surface temperature, land use type, nighttime light intensity, soil type, and vegetation type (q > 0.2); The explanatory rates of the two-factor interactions were greater than those of the single factor, which showed either nonlinear enhancement or bifactorial enhancement, among which, the interaction of evapotranspiration with mean air and surface temperature has the strongest effect on the spatial and temporal evolution of FVC (q = 0.75). Surface temperature between 4.98 and 10.4 °C, evapotranspiration between 638 and 762 mm/a, and nighttime light between 1.96 and 7.78 lm/m2 favoured an increase in vegetation cover, and vegetation developed on lysimetric soils was more inclined to be of high cover. (4) The correlation between each variable and FVC showed different performance, GDP, elevation, slope and FVC showed significant positive correlation in most regions, while population size, urban population proportion, GDP proportion of primary and secondary industries, and nighttime light intensity all showed negative correlation with FVC to different degrees. The results can provide data for formulating regional environmental protection and restoration policies.

Evaluation of Watershed Carrying Capacity on Flood Management in Greater Malang East Java Indonesia

Purpose: The over-depletion of natural resources in the Ambang watershed is the recent cause of the flooding in the region. The Ambang watershed, located in the larger Malang region of Indonesia's East Java Province, is the subject of this article because of the importance of this resource to local residents.This study follows the rules set out by Regulation No. P.61/2014 of the Indonesian Ministry of Forestry, which governs the assessment and monitoring of watershed management, in order to determine the Ambang watershed's effectiveness. Finding out how much water the Ambang watershed can hold and how well the regulation works to control floods were the two main goals of this research Method: This study primarily uses data on floods, conservation initiatives, land use, and water value in the Ambang river basin. Data and information on floods, conservation regulations, and the worth of water infrastructure comes from government sources and community discussions. The data on land usage was derived from the analysis of satellite images. Literature reviews and reports from key government agencies (such as the regional agricultural agency, the regional environmental protection agency, and the district government) were used to gather secondary data for the Ambang watershed management study Results and Conclusion: Land cover, as a percentage, can reduce run-off rates and enhance infiltration capacity in a watershed, hence monitoring it is crucial for assessing the state of land carrying capacity. With an area of 86,783.77 ha, the Ambang sub-watershed has 27,311.79 ha of vegetative land cover (PPV), which is classed as poor, falling between 20 and 40%. The result is expressed as a percentage. One way to measure the difference between allowed and actual erosion is via the Erosion Index. Based on the analysis, the Ambang sub-watershed, which covers an area of 86,783.77 ha, experiences heavy erosion on average with 190.8 tons/ha/year. The erosion index is 14.2, and the IE classification is > 2, which is very bad. This is due to factors such as steep to very steep slopes in some areas, poor to moderate soil conservation, and the presence of annual plants on the land, with some exceeding 25%. Research Implications: In order to better educate the public about the conservation and restoration efforts of different stakeholders and to improve the recommendations for potential conservation and restoration actions in each of the Ambang watershed regions, a series of investigations and experimental projects are planned. Laws enacted by the Indonesian government (number 37/2012) and the Ministry of Forestry (number 6061/2014) control the administration of water-related regions in the country. Before receiving any funds from the National State Budget, regional (provincial) governments must develop a management plan that takes into account the watershed's ability to sustain initiatives. Our investigation showed that Regulation 61/2014, issued by the Federal Forestry Minister, does not adequately evaluate the Ambang watershed's harbor capacity. Especially in arid regions, further studies should help Indonesian watersheds better gauge the potential of their water supplies.

Assessing environmental injustice in Kansas City by linking paediatric asthma to local sources of pollution: a cross-sectional study

ObjectiveA grassroots environmental-justice organisation in Kansas City has been examining the disproportionate exposure to air pollution experienced by residents living fenceline to the largest classification railyard in the USA. Prior...

A dataset of land use/land cover fusion in Guangxi, China in 2000, 2010 and 2020

This study is based on six major land use/land cover remote sensing data products that are widely used in China and the world, namely ESA Global Land Cover Product (ESAGC), ESRI Global 10-meter Land Use/Land Cover Data (ESRI-LULC), Tsinghua University high-resolution global land cover product (FROM-GLC), Wuhan University China Land Cover Dataset (CLCD), global 30-meter high-resolution system land cover product (GLC_FCS30) and GlobeLand30 (GLC30). By reclassifying multiple data products, we developed a multi-source data product fusion method based on consistency assessment, and compiled a new Guangxi region land use/land cover data product in 2020 with a correlation coefficient greater than 0.94 with local statistical yearbook data. The study further used three sets of long sequence data (CLCD, GLC_FCS30 and GLC30) to create three land use/land cover fusion data products in Guangxi in 2000, 2010 and 2020. This study provides a methodological basis for the application of regional land use/land cover data products. The fusion of data can better support related research on regional environmental protection, agricultural production planning, and urban development planning in Guangxi.

Optimal Allocation of Water Resources in Ordos City Based on the General Water Allocation and Simulation Model

This study aims to achieve coordination between regional economic development and ecological environmental protection and to mitigate issues such as competition for water use among industries and significant disparities between water supply and demand. A multi-water-source, multi-user, and multi-objective optimal water resource allocation model was developed for Ordos City using general water allocation and simulation (GWAS). This model was applied to optimize water resource allocation on a monthly scale for various users across different administrative units (banners) in both short- and long-term planning periods. The results indicate that Ordos City’s allocated water volume for 2025 and 2030 is projected to be 1833.36 × 106 m3 and 1963.44 × 106 m3, respectively, with an overall water shortage rate of 5.46% and 5.67%, respectively. Water shortages are predicted in Dongsheng District, Dalad Banner, Etuoke Banner, Hangjin Banner, and Wushen Banner, primarily during the agricultural water usage period from March to November. The regional water supply structure was notably optimized, with a gradual decrease in the proportion of groundwater in the total water supply and a corresponding increase in the supply of surface water and unconventional water. These changes effectively improve local groundwater overexploitation and enhance the water supply efficiency. The research findings could offer valuable theoretical and technical support for the development and utilization of water resources, as well as for adjustments in the population–economic–industrial structure of Ordos City. Additionally, this study could provide scientific references for optimizing water resource allocation in other water-deficient cities in arid and semi-arid areas of the Yellow River Basin.

Advanced Machine Learning and Water Quality Index (WQI) Assessment: Evaluating Groundwater Quality at the Yopurga Landfill

As industrial development and population growth continue, water pollution has become increasingly severe, particularly in rapidly industrializing regions like the area surrounding the Yopurga landfill. Ensuring water resource safety and environmental protection necessitates effective water quality monitoring and assessment. This paper explores the application of advanced machine learning technologies and the Water Quality Index (WQI) model as a comprehensive method for accurately assessing groundwater quality near the Yopurga landfill. The methodology involves selecting water quality indicators based on available data and the hydrochemical characteristics of the study area, comparing the performance of Decision Trees, Random Forest, and Xgboost algorithms in predicting water quality, and identifying the optimal algorithm to determine indicator weights. Indicators are scored using appropriate sub-index (SI) functions, and six different aggregation functions are compared to find the most suitable one. The study reveals that the Xgboost model surpasses Decision Trees and Random Forest models in water quality prediction. The top three indicator weights identified are pH, Manganese (Mn), and Nickel (Ni). The SWM model, with a 0% overestimation eclipsing rate and a 34% underestimation eclipsing rate, is chosen as the most appropriate WQI model for evaluating groundwater quality at the Yopurga landfill. According to the WQI results from the SWM aggregation function, the overall water quality in the area ranges from moderately polluted to slightly polluted. These assessment results provide a scientific basis for regional water environment protection.

Green credit policy and corporate deleveraging: Evidence from China

Green Credit Policy (GCP) plays a dual role in environmental protection and financial regulation. Its effectiveness in driving enterprises to deleverage is of great significance in accelerating the development transition. This paper uses the difference-in-differences method to investigate the impact of the Green Credit Guidelines (GCG) on corporate deleveraging in Chinese A-share listed companies between 2007 and 2021. The results show that GCP has a driving effect on enterprise deleveraging. The mechanism tests indicate that corporate leverage ratio can be reduced by increasing financing constraints and reducing the financial distress risk. The findings offer policy implications for promoting high-quality economic development.

LEGAL PROTECTION OF THE ENVIRONMENT IN THE ARCTIC ZONE OF RUSSIA WITH THE DEVELOPMENT OF THE EXTRACTIVE SECTOR OF THE ECONOMY

The article considers the main aspects of legal environmental protection in mining in the Arctic zone of the Russian Federation. The existing environmental problems are highlighted, the issues of implementing effective legal mechanisms for environmental protection and business regulation are considered, as well as key theoretical concepts in this area, such as "legal environmental protection", "environmental risk", "environmental insurance". The necessity of adopting a special law in the field of legal environmental protection of the Arctic zone of the Russian Federation is indicated.

Research on Monitoring and Application of Ecological Restoration Engineering in Open Pit Backfilling Mines Based on Satellite Remote Sensing Data

Abstract. The restoration and management of mining ecological environment is an important component of China's ecological civilization construction. The implementation of restoration projects is to avoid the serious impact caused by the continuous deterioration of mining ecological structure, and is a key way to maintain regional ecological security and energy and mineral security. Therefore, efficient and rapid monitoring and evaluation of the effectiveness of mining ecological restoration is an essential and important link. With the rapid development of remote sensing technology, remote sensing monitoring has become an important means to objectively, quickly, and accurately obtaining changes in the mining environment. It can provide timely and long-term monitoring of mining and backfilling conditions in mining areas. This article uses the multi temporal stereo images of the Resource 3 satellite over four years to monitor the mining and backfilling situation of the Zhungeer open-pit coal mine area in Inner Mongolia. By reconstructing the Digital Surface Model (DSM) of the open-pit mining area, the changes and thresholds of the multi temporal DSM data are statistically analyzed to extract the mining and backfilling areas, and the earthwork volume is calculated. The results showed that from 2013 to 2016, the main large-scale mining faces in the study area of Zhungeer open-pit mining area had a total mining operation of about 563.5 million cubic meters, and a total backfilling operation of about 604.29 million cubic meters; During the period from 2016 to 2018, the main large-scale mining faces in the region had a total of approximately 721.71 million cubic meters of mining operations and a total of approximately 805.42 million cubic meters of backfilling operations. The overall operational intensity increased from 2016 to 2018. The research results show that based on satellite image data, it is convenient and efficient to obtain DSM and corresponding changes of multiple time periods in mining areas. Monitoring results can provide important support for regional environmental governance and protection, as well as safety production in mining areas.