A grey relational model for soil erosion vulnerability assessment in subwatershed of lesser Himalayan region

Pandey, Shachi; Nautiyal, Raman; Kumar, Parmanand; Chandra, Girish; Panwar, Vijender Pal

doi:10.1016/j.catena.2021.105928

Cited by 14 publications

(4 citation statements)

References 25 publications

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“…Grey Relational Analysis (GRA), an objective weighting method, uses similarity and dissimilarity to measure the correlation between the reference sequences and comparison sequences, making global comparisons rather than local comparisons with mitigating the influence of subjective parameters (Kocak 2020 ). This method has been used in many study fields such as environmental pollution assessment (Li et al 2015 ), water quality improvement (Deng 2019 ) and soil erosion (Pandey et al 2022 ). The combination of AHP and GRA can effectively evaluate and optimize the complex uncertainty among the multi-criteria in a given system.…”

Section: Methodsmentioning

confidence: 99%

Security risk assessment and visualization study of key nodes of sea lanes: case studies on the Tsugaru Strait and the Makassar Strait

et al. 2022

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Section: Methodsmentioning

confidence: 99%

Security risk assessment and visualization study of key nodes of sea lanes: case studies on the Tsugaru Strait and the Makassar Strait

et al. 2022

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“…Bias related to the subjective tendencies of experts are mostly avoided to ensure objectivity of results. Developed during the past 40 years, this method or the derived methods have been widely applied in fields such as land resource evaluation [39,40], regional development evaluation [41,42], urban transportation [43,44], as well as environmental impact assessment to ensure good results and benefits. Continuous progress in modeling and analyzing environmental loads has been made using the gray evaluation theory.…”

Section: Introductionmentioning

confidence: 99%

Application of Gray Relational Analysis in Evaluating the Environmental Loads in Hubei Province, China, During 1995-2019

Peng,

2024

Pol. J. Environ. Stud.

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Fragile ecosystems that are affected by erosion from high pollution environmental loads pose a serious threat to human health and well-being. The evaluation of regional environmental loads has become a major issue for eco-environmental conservation and management. As a key region in central China, Hubei Province relies on ecosystems and the environment, which offer an important foundation for sustainable development and continuous improvements in social productivity. For this study, seven influencing factors were selected, and a correlation degree model was applied to assess Hubei Province's environmental loads during the period from 1995-2019. The results show that the overall environmental loads exhibit a fluctuating decreasing trend in response to economic growth and development actions. Moreover, as eco-environmental pollution problems have been addressed and improved over time, the ecosystem operating status has been gradually optimized. Finally, the paper concludes with a proposal of specific measures designed to mitigate Hubei Province's ecological loading from the perspectives of industrial structure, public awareness and technological innovation.

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“…Additionally, vulnerability assessment methods based on Multi-Criteria Decision Analysis allocate weights and comprehensively evaluate factors related to population, economy, environment, and more, allowing for a comprehensive evaluation of vulnerability in a region [34]. Commonly used methods include the analytic hierarchy process [35], gray correlation analysis [36], entropy weighting method [37], and principal component analysis [38]. It can be seen that the research on disaster risk assessment has made fruitful achievements, the evaluation methods are becoming increasingly refined, and the accuracy and scientificity of the evaluation results are gradually improving.…”

Section: Introductionmentioning

confidence: 99%

Method of Wildfire Risk Assessment in Consideration of Land-Use Types: A Case Study in Central China

Yue

Ren

Liang

et al. 2023

Forests

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Research on wildfire risk can quantitatively assess the risk of wildfire damage to the population, economy, and natural ecology. However, existing research has primarily assessed the spatial risk of wildfires across an entire region, neglecting the impact of different land-use types on the assessment outcomes. The purpose of the study is to construct a framework for assessing wildfire risk in different land-use types, aiming to comprehensively assess the risk of wildfire disasters in a region. We conducted a case study in Central China, collecting and classifying historical wildfire samples according to land-use types. The Light Gradient Boosting Machine (LGBM) was employed to construct wildfire susceptibility models for both overall and individual land-use types. Additionally, a subjective and objective combined weighting method using the Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) was utilized to build the wildfire vulnerability model. By integrating susceptibility and vulnerability information, we comprehensively assessed the combined risk of wildfire disasters across land-use types. The results demonstrate the following: (1) Assessing wildfire susceptibility based on different land-use types compensated for limitations in analyzing overall wildfire susceptibility, with a higher prediction performance and more detailed susceptibility information. (2) Significant variations in wildfire susceptibility distribution existed among different land-use types, with varying contributions of factors. (3) Using the AHP-EWM combined weighting method effectively addressed limitations of a single method in determining vulnerability. (4) Land-use types exerted a significant impact on wildfire risk assessment in Central China. Assessing wildfire risk for both overall and individual land-use types enhances understanding of spatial risk distribution and specific land use risk. The experimental results validate the feasibility and effectiveness of the proposed evaluation framework, providing guidance for wildfire prevention and control.

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A grey relational model for soil erosion vulnerability assessment in subwatershed of lesser Himalayan region

Cited by 14 publications

References 25 publications

Security risk assessment and visualization study of key nodes of sea lanes: case studies on the Tsugaru Strait and the Makassar Strait

Security risk assessment and visualization study of key nodes of sea lanes: case studies on the Tsugaru Strait and the Makassar Strait

Application of Gray Relational Analysis in Evaluating the Environmental Loads in Hubei Province, China, During 1995-2019

Method of Wildfire Risk Assessment in Consideration of Land-Use Types: A Case Study in Central China

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