Spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing, China, based on the ITO3dE model and GIS Kang-wen ZHU Southwest University Zhi-min YANG Southwest University Lei HUANG Southwest University Yu-cheng CHEN (
[email protected] ) Southwest University Sheng ZHANG Chongqing Academy of Ecology and Environmental Sciences Hai-ling XIONG Southwest University Sheng WU Southwest University Bo LEI Chongqing Academy of Ecology and Environmental Sciences Research Article Keywords: Agricultural non-point source pollution (AGNPS), ITO3dE model, Transition matrix, Kernel density, GIS Posted Date: December 9th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-115722/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published at Scientic Reports on February 25th, 2021. See the published version at https://doi.org/10.1038/s41598-021-84075-2. 1 Spatiotemporal evolution analysis of agricultural non-point source pollution risks in 2 Chongqing, China, based on the ITO3dE model and GIS 3 Kang-wen ZHUa, Zhi-min YANGa, Lei HUANGa, Yu-cheng CHENa*, Sheng ZHANGb*, Hai-ling 4 XIONGc, Sheng WUc, Bo LEIb 5 aCollege of Resources and Environment, Southwest University, 400716, China 6 bChongqing Academy of Ecology and Environmental Sciences, Chongqing, 401147, China 7 cCollege of computer & information science, Southwest University, 400716, China 8 Abstract 9 To determine the risk state distribution, risk level, and risk evolution situation of agricultural non-point source 10 pollution (AGNPS), we built an ‘Input-Translate-Output’ three-dimensional evaluation (ITO3dE) model that 11 involved 12 factors under the support of GIS and analyzed the spatiotemporal evolution characteristics of AGNPS 12 risks from 2005 to 2015 in Chongqing by using GIS space matrix, kernel density analysis, and Getis-Ord Gi* analysis.