AI Chat Paper
Discover the SciOpen Platform and Achieve Your Research Goals with Ease.
Search articles, authors, keywords, DOl and etc.
{{expandStatus?'Exit ':''}}Advanced Search
Pingquan City, the origin of five rivers, serves as the core water conservation zone for the Beijing-Tianjin-Hebei region and exemplifies the characteristics of small watersheds in hilly areas. In recent years, excessive mining and intensified human activities have severely disrupted the local ecosystem, creating an urgent need for ecological vulnerability assessment to enhance water conservation functions. This study employed the sensitivity-resilience-pressure model, integrating various data sources, including regional background, hydro-meteorological data, field investigations, remote sensing analysis, and socio-economic data. The weights of the model indices were determined using an entropy weighting model that combines principal component analysis and the analytic hierarchy process. Using the ArcGIS platform, the spatial distribution and driving forces of ecological vulnerability in 2020 were analyzed, providing valuable insights for regional ecological restoration. The results indicated that the overall ecological vulnerability index (EVI) was 0.389, signifying moderate ecological vulnerability, with significant variation between watersheds. The Daling River Basin had a high EVI, with ecological vulnerability primarily in levels IV and V, indicating high ecological pressure, whereas the Laoniu River Basin had a low EVI, reflecting minimal ecological pressure. Soil type was identified as the primary driving factor, followed by elevation, temperature, and soil erosion as secondary factors. It is recommended to focus on key regions and critical factors while conducting comprehensive monitoring and assessment to ensure the long-term success of ecological management efforts.
De Lange HJ, Sala S, Vighi M, et al. 2010. Ecological vulnerability in risk assessment—A review and perspectives. Science of the Total Environment, 408(18): 3871−3879. DOI:10.1016/j.scitotenv.2009.11.009.
Hou K, Li X, Zhang J. 2015. GIS analysis of changes in ecological vulnerability using a SPCA model in the Loess plateau of Northern Shaanxi, China. International Journal of Environmental Research and Public Health, 12(4): 4292−4305. DOI:10.3390/ijerph120404292.
Hu X, Ma C, Huang P, et al. 2021. Ecological vulnerability assessment based on AHP-PSR method and analysis of its single parameter sensitivity and spatial autocorrelation for ecological protection–A case of Weifang City, China. Ecological Indicators, 125: 107464. DOI:10.1016/j.ecolind.2021.107464.
Jiang W, Deng L, Chen L, et al. 2009. Risk assessment and validation of flood disaster based on fuzzy mathematics. Progress in Natural Science, 19(10): 1419−1425. DOI:10.1016/j.pnsc.2008.12.010.
Lan G, Jiang X, Xu D, et al. 2023. Ecological vulnerability assessment based on remote sensing ecological index (RSEI): A case of Zhongxian County, Chongqing. Frontiers in Environmental Science, 10: 1074376. DOI:10.3389/fenvs.2022.1074376.
Li A, Wang A, Liang S, et al. 2006. Eco-environmental vulnerability evaluation in mountainous region using remote sensing and GIS—A case study in the upper reaches of Minjiang River, China. Ecological Modelling, 192(1-2): 175−187. DOI:10.1016/j.ecolmodel.2005.07.005.
Li AN, Wang AS, He XR, et al. 2006. Integrated evaluation model for eco-environmental quality in mountainous region Based on Remote Sensing and GIS. Wuhan University Journal of Natural Sciences, 11(4): 969−976. DOI:10.1007/BF02830196.
Li L, Shi ZH, Yin W, et al. 2009. A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the danjiangkou reservoir area, China. Ecological Modelling, 220(23): 3439−3447. DOI:10.1016/j.ecolmodel.2009.09.005.
Luo M, Jia X, Zhao Y, et al. 2024. Ecological vulnerability assessment and its driving force based on ecological zoning in the Loess Plateau, China. Ecological Indicators, 159: 111658. DOI:10.1016/j.ecolind.2024.111658.
Qiu PH, Xu XJ, Xie GZ, et al. 2007. Analysis of the ecological vulnerability of the western Hainan Island based on its landscape pattern and ecosystem sensitivity. Acta Ecologica Sinica, 27(4): 1257−1264. DOI:10.1016/S1872-2032(07)60026-2.
Sahoo S, Dhar A, Kar A. 2016. Environmental vulnerability assessment using Grey Analytic Hierarchy Process based model. Environmental Impact Assessment Review, 56: 145−154. DOI:10.1016/j.eiar.2015.10.002.
Shan C, Dong Z, Lu D, et al. 2021. Study on river health assessment based on a fuzzy matter-element extension model. Ecological Indicators, 127: 107742. DOI:10.1016/j.ecolind.2021.107742.
Shi JT, Liu JJ, Zhang JC, et al. 2024. Analysis of soil heavy metal influencing factors and sources in typical small watersheds in shallow mountainous area. Geophysical and Geochemical Exploration, 48(3): 834−846. (in Chinese) DOI:10.11720/wtyht.2024.1270.
Wang XD, Zhang XH, Gao P. 2010. A GIS-based decision support system for regional eco-security assessment and its application on the Tibetan Plateau. Journal of Environmental Management, 91(10): 1981−1990. DOI:10.1016/j.jenvman.2010.05.006.
Wu C, Liu G, Huang C, et al. 2018. Ecological vulnerability assessment based on fuzzy analytical method and analytic hierarchy process in Yellow River Delta. International Journal of Environmental Research and Public Health, 15(5): 855. DOI:10.3390/ijerph15050855.
Xu X, Yang H, Yang D, et al. 2013. Assessing the impacts of climate variability and human activities on annual runoff in the Luan River basin, China. Hydrology Research, 44(5): 940−952. DOI:10.2166/nh.2013.144.
Xue, LQ, Wang J, Zhang L, et al. 2019. Spatiotemporal analysis of ecological vulnerability and management in the Tarim River Basin, China. Science of the Total Environment, 649: 876−888. DOI:10.1016/j.scitotenv.2018.08.321.
Zhang F, Liu X, Zhang J, et al. 2017. Ecological vulnerability assessment based on multi-sources data and SD model in Yinma River Basin, China. Ecological Modelling, 349: 41−50. DOI:10.1016/j.ecolmodel.2017.01.016.
Zhang XQ, Wang LK, Fu XS, et al. 2017. Ecological vulnerability assessment based on PSSR in Yellow River Delta. Journal of Cleaner Production, 167: 1106−1111. DOI:10.1016/j.jclepro.2017.04.106.
Zhang XY, Liu K, Wang S, et al. 2022. Spatiotemporal evolution of ecological vulnerability in the Yellow River Basin under ecological restoration initiatives. Ecological Indicators, 135: 108586. DOI:10.1016/j.ecolind.2022.108586.
Zhao Y, Liu L, Kang S, et al. 2021. Quantitative analysis of factors influencing spatial distribution of soil erosion based on geo-detector model under diverse geomorphological types. Land, 10(6): 604. DOI:10.3390/land10060604.
Zou T, Chang Y, Chen P, et al. 2021. Spatial-temporal variations of ecological vulnerability in Jilin Province (China), 2000 to 2018. Ecological Indicators, 133: 108429. DOI:10.1016/j.ecolind.2021.108429.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)
京公网安备11010802044758号