Risk assessment and its influencing factors analysis of geological hazards in typical mountain environment

Lin, Jinhuang; Chen, Wenhui; Qi, Xinhua; Hou, Haoran

doi:10.1016/j.jclepro.2021.127077

Cited by 69 publications

(52 citation statements)

References 31 publications

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“…Shallow aquifer is a key hydrological factor underpinning ecosystem stability and characterized by specific yield; the greater the specific yield, the stronger the ability of an aquifer in water release 32 . River system distance represents the situation of surface waters, reflecting the impact of flows on surrounding soil erosion 33 and on the circumstance of flora and fauna community 34 . As a factor affecting water and soil conservation as well as the stability of the ecosystem, vegetation coverage is represented via NDVI 35 .…”

Section: Methodsmentioning

confidence: 99%

Evaluation of eco-environmental quality for the coal-mining region using multi-source data

Jiang

Fan

Zhang

et al. 2022

Sci Rep

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The contradiction between the exploitation of coal resources and the protection of the ecological environment in western China is becoming increasingly prominent. Reasonable ecological environment evaluation is the premise for alleviating this contradiction. First, this paper evaluates the eco-environment of Ibei coalfield by combining the genetic projection pursuit model and geographic information system (GIS) and using remote sensing image data and other statistical data of this area. The powerful spatial analysis function of GIS and the advantages of the genetic projection pursuit model in weight calculation have been fully used to improve the reliability of the evaluation results. Furthermore, spatial autocorrelation is used to analyze the spatial characteristics of ecological environment quality in the mining area and plan the specific governance scope. The geographic detector is used to determine the driving factors of the eco-environment of the mining area. The results show that Ibei Coalfield presents a spatially heterogeneous eco-environment pattern. The high-intensity mining area (previously mined area of Ili No.4 Coal Mine) has the worst ecological environment quality, followed by the coal reserve area of Ili No.4 Coal Mine and the planned survey area of Ili No.5 Coal Mine. The eco-environment quality (EEQ) of the study area is affected by both human and natural factors. Mining intensity and surface subsidence are the main human factors affecting the ecological environment in the study area. The main natural factors affecting the ecological environment in the study area are annual average precipitation, elevation, annual average evaporation, NDVI and land use type. Meanwhile, the interaction effect of any two indicators is greater than that of a single indicator. It is also indicated that the eco-environment of the mining area is nonlinearly correlated to impact indicators. The spatial autocorrelation analysis shows three areas that should be treated strategically that are the management area, close attention area and protective area. Corresponding management measures are put forward for different regions. This paper can provide scientific references for mining area eco-environmental protection, which is significant for the sustainability of coal mine projects.

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Section: Methodsmentioning

confidence: 99%

Evaluation of eco-environmental quality for the coal-mining region using multi-source data

Jiang

Fan

Zhang

et al. 2022

Sci Rep

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“…In areas with lush vegetation, the stronger soil-fixing effects of rhizomes and the interception of rainwater by branches and leaves are conducive to alleviating slope run-off and improving slope stability. We used NPP to reflect the growth status of vegetation [12]. The higher the NPP value, the weaker the weathering of the surface, and the more stable We obtained river density (RD) and fault density (DF) data using the Line Density tool in ArcGIS (Figure 4).…”

Section: Surface Vegetation and Soilmentioning

confidence: 99%

“…To mitigate the adverse effects of debris flow hazards, risk assessment is an appropriate quantitative method at the regional and national levels [9][10][11][12]. Debris flow risk assessment is the process of evaluating and estimating the possibility of debris flows and the loss of life, property, and economic activities.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China

et al. 2022

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Debris flow risk comprehensively reflects the natural and social properties of debris flow disasters and is composed of the risk of the disaster-causing body and the vulnerability of the carrier. The Bailong River Basin (BRB) is a typical mountainous environment where regional debris flow disasters occur frequently, seriously threatening the lives of residents, infrastructure, and regional ecological security. However, there are few studies on the risk assessment of mountainous debris flow disasters in the BRB. By considering a complete catchment, based on remote sensing and GIS methods, we selected 17 influencing factors, such as area, average slope, lithology, NPP, average annual precipitation, landslide density, river density, fault density, etc. and applied a machine learning algorithm to establish a hazard assessment model. The analysis shows that the Extra Trees model is the most effective for debris flow hazard assessments, with an accuracy rate of 88%. Based on socio-economic data and debris flow disaster survey data, we established a vulnerability assessment model by applying the Contributing Weight Superposition method. We used the product of debris flow hazard and vulnerability to construct a debris flow risk assessment model. The catchments at a very high-risk were distributed mainly in the urban area of Wudu District and the northern part of Tanchang County, that is, areas with relatively dense economic activities and a high disaster frequency. These findings indicate that the assessment results provide scientific support for planning measures to prevent or reduce debris flow hazards. The proposed assessment methods can also be used to provide relevant guidance for a regional risk assessment of debris flows in the BRB and other regions.

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“…Shallow aquifer is a key hydrological factor underpinning ecosystem stability and characterised by speci c yield; the greater the speci c yield, the stronger the ability of an aquifer in water release 20 . River system distance represents the situation of surface waters, re ecting the impact of ows on surrounding soil erosion 21 and on the circumstance of ora and fauna community 22 . As a factor affecting water and soil conservation as well as the stability of eco-system, vegetation coverage is represented via normalized differential vegetation index (NDVI) 23 .…”

Section: Evaluation Indicator Selectionmentioning

confidence: 99%

Evaluation of Eco-environmental Quality of Coal Mining Area Using Multi-source Data – A Case Regarding Ibei Coalfield, Northwestern China

Jiang

Fan

Zhang

et al. 2021

Preprint

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Eco-environmental evaluation is a prerequisite for balancing the relationship between coal resource recovery and eco-environmental protection. This paper divides the eco-environment system in coal mining area into 5 subsystems regarding geomorphology, climate, hydrology, land and vegetation, and human activity. Within the 5 subsystems, 13 indicators capable of reflecting eco-environment levels of coal mine fields are selected, weighed using genetic projection pursuit model, and applied to eco-environmental quality evaluation. Based on this, the spatial feature of the quality is analysed using spatial autocorrelation method, recognising the areas that need managements. Factors driving the eco-environment characteristics of coal mines are identified using geographic detector. The feasibility of the developed evaluation system is verified with Ibei Coalfield as a case. The results show that Ibei Coalfield sees a spatially heterogeneous eco-environment pattern. Geographic detector can quantify the impact of various indicators on ecological environment, and the indicator is of stronger interpretation ability as interacting with others. It is also indicated that mining area eco-environment is nonlinearly correlated to impact indicators. The spatial autocorrelation analysis suggests three areas that should be treated strategically, that are the management area, close attention area and protective area. This paper can provide scientific references for mining area eco-environmental protection, which is significant for the sustainability of coal mine projects.

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Risk assessment and its influencing factors analysis of geological hazards in typical mountain environment

Cited by 69 publications

References 31 publications

Evaluation of eco-environmental quality for the coal-mining region using multi-source data

Evaluation of eco-environmental quality for the coal-mining region using multi-source data

Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China

Evaluation of Eco-environmental Quality of Coal Mining Area Using Multi-source Data – A Case Regarding Ibei Coalfield, Northwestern China

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