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The potential of integrating landscape, geochemical and economical indices to analyze watershed ecological environment
Yu Huan1; Kong Bo2; He Zheng-Wei1; Wang Guangxing3; Wang Qing3
2019
Source PublicationJournal of Hydrology
ISSN0022-1694
PagesDOI:10.1016/j.jhydrol.2019.124298
SubtypeArticle in Press
Contribution Rank2
AbstractA river watershed is a complex ecosystem, and its spatial structure and temporal dynamics are driven by various natural factors such as soil properties and topographic features, human activities, and their interactions. In this study, we explored the characteristics of the ecosystem and environment of watershed by analyzing and modeling the relationships among socio-economic indices, heavy metal elements and landscape metrics. Landsat 8 data were used to generate a land cover classification map and to derive landscape pattern indices. Governmental finance statistics yearbook data were referred to provide socio-economic indices. Moreover, 9 samples were collected from the upstream to the downstream to obtain the values of heavy metal concentrations in the water body. Then, both correlation and regression analyses were applied to analyze and model the relationships among these indices. The results of this study showed that 1) The ecological status and process (social economy, land cover, water and soil pollution) of this river watershed could be explained by analyzing the relationships among the socio-economic indices, heavy metal elements and landscape pattern indices selected based on correlation analysis; 2) The accumulated socio-economic indices were significantly correlated with Al, Fe and Ni and should be applied to the integrated assessment of the watershed ecological environment; 3) Cu, Zn and Pb were the main elements that showed significant correlations with the forest land; 4) Some landscape patterns indices such as Total Area (TA) and Effective Mesh Size (MESH) could be used to the integrated assessment of the watershed characteristics because of their strong correlations with the area (or area percentage) of important landscape types; and 5) transportation land had a close relationship with per capita Gross Domestic Product (GDP). This study implied that analyzing and modeling the relationships among the socio-economic indices, heavy metal elements and landscape pattern indices can provide a powerful tool for characterizing the ecosystem of the river watershed and useful guidelines for the watershed management and sustainable development. © 2019 Elsevier B.V.
KeywordWatershed Geochemistry Landscape Socio-economic indices Remote sensing Statistical analysis
DOI10.1016/j.jhydrol.2019.124298
Indexed BySCI ; EI
Language英语
EI Accession NumberAccession number:20194807739860
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Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/33463
Collection数字山地与遥感应用中心
Corresponding AuthorYu Huan
Affiliation1.College of Earth Sciences, Chengdu University of Technology, Chengdu, 610059, China;
2.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China;
3.Department of Geography and Environmental Resources, Southern Illinois University, Carbondale, 62901, United States
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Yu Huan,Kong Bo,He Zheng-Wei,et al. The potential of integrating landscape, geochemical and economical indices to analyze watershed ecological environment[J]. Journal of Hydrology,2019:DOI:10.1016/j.jhydrol.2019.124298.
APA Yu Huan,Kong Bo,He Zheng-Wei,Wang Guangxing,&Wang Qing.(2019).The potential of integrating landscape, geochemical and economical indices to analyze watershed ecological environment.Journal of Hydrology,DOI:10.1016/j.jhydrol.2019.124298.
MLA Yu Huan,et al."The potential of integrating landscape, geochemical and economical indices to analyze watershed ecological environment".Journal of Hydrology (2019):DOI:10.1016/j.jhydrol.2019.124298.
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