Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China

Abstract To determine the risk state distribution, risk level, and risk evolution situation of agricultural non-point source pollution (AGNPS), we built an ‘Input-Translate-Output’ three-dimensional evaluation (ITO3dE) model that involved 12 factors under the support of GIS and analyzed the spatiote...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kang-wen Zhu, Zhi-min Yang, Lei Huang, Yu-cheng Chen, Sheng Zhang, Hai-ling Xiong, Sheng Wu, Bo Lei
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fe3af6d9be0841d8b2133eb5c6f9daed
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:fe3af6d9be0841d8b2133eb5c6f9daed
record_format	dspace
spelling	oai:doaj.org-article:fe3af6d9be0841d8b2133eb5c6f9daed2021-12-02T13:20:22ZCoupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China10.1038/s41598-021-84075-22045-2322https://doaj.org/article/fe3af6d9be0841d8b2133eb5c6f9daed2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84075-2https://doaj.org/toc/2045-2322Abstract To determine the risk state distribution, risk level, and risk evolution situation of agricultural non-point source pollution (AGNPS), we built an ‘Input-Translate-Output’ three-dimensional evaluation (ITO3dE) model that involved 12 factors under the support of GIS and analyzed the spatiotemporal evolution characteristics of AGNPS risks from 2005 to 2015 in Chongqing by using GIS space matrix, kernel density analysis, and Getis-Ord Gi* analysis. Land use changes during the 10 years had a certain influence on the AGNPS risk. The risk values in 2005, 2010, and 2015 were in the ranges of 0.40–2.28, 0.41–2.57, and 0.41–2.28, respectively, with the main distribution regions being the western regions of Chongqing (Dazu, Jiangjin, etc.) and other counties such as Dianjiang, Liangping, Kaizhou, Wanzhou, and Zhongxian. The spatiotemporal transition matrix could well exhibit the risk transition situation, and the risks generally showed no changes over time. The proportions of ‘no-risk no-change’, ‘low-risk no-change’, and ‘medium-risk no-change’ were 10.86%, 33.42%, and 17.25%, respectively, accounting for 61.53% of the coverage area of Chongqing. The proportions of risk increase, risk decline, and risk fluctuation were 13.45%, 17.66%, and 7.36%, respectively. Kernel density analysis was suitable to explore high-risk gathering areas. The peak values of kernel density in the three periods were around 1110, suggesting that the maximum gathering degree of medium-risk pattern spots basically showed no changes, but the spatial positions of high-risk gathering areas somehow changed. Getis-Ord Gi* analysis was suitable to explore the relationships between hot and cold spots. Counties with high pollution risks were Yongchuan, Shapingba, Dianjiang, Liangping, northwestern Fengdu, and Zhongxian, while counties with low risks were Chengkou, Wuxi, Wushan, Pengshui, and Rongchang. High-value hot spot zones gradually dominated in the northeast of Chongqing, while low-value cold spot zones gradually dominated in the Midwest. Our results provide a scientific base for the development of strategies to prevent and control AGNPS in Chongqing.Kang-wen ZhuZhi-min YangLei HuangYu-cheng ChenSheng ZhangHai-ling XiongSheng WuBo LeiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kang-wen Zhu Zhi-min Yang Lei Huang Yu-cheng Chen Sheng Zhang Hai-ling Xiong Sheng Wu Bo Lei Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China
description	Abstract To determine the risk state distribution, risk level, and risk evolution situation of agricultural non-point source pollution (AGNPS), we built an ‘Input-Translate-Output’ three-dimensional evaluation (ITO3dE) model that involved 12 factors under the support of GIS and analyzed the spatiotemporal evolution characteristics of AGNPS risks from 2005 to 2015 in Chongqing by using GIS space matrix, kernel density analysis, and Getis-Ord Gi* analysis. Land use changes during the 10 years had a certain influence on the AGNPS risk. The risk values in 2005, 2010, and 2015 were in the ranges of 0.40–2.28, 0.41–2.57, and 0.41–2.28, respectively, with the main distribution regions being the western regions of Chongqing (Dazu, Jiangjin, etc.) and other counties such as Dianjiang, Liangping, Kaizhou, Wanzhou, and Zhongxian. The spatiotemporal transition matrix could well exhibit the risk transition situation, and the risks generally showed no changes over time. The proportions of ‘no-risk no-change’, ‘low-risk no-change’, and ‘medium-risk no-change’ were 10.86%, 33.42%, and 17.25%, respectively, accounting for 61.53% of the coverage area of Chongqing. The proportions of risk increase, risk decline, and risk fluctuation were 13.45%, 17.66%, and 7.36%, respectively. Kernel density analysis was suitable to explore high-risk gathering areas. The peak values of kernel density in the three periods were around 1110, suggesting that the maximum gathering degree of medium-risk pattern spots basically showed no changes, but the spatial positions of high-risk gathering areas somehow changed. Getis-Ord Gi* analysis was suitable to explore the relationships between hot and cold spots. Counties with high pollution risks were Yongchuan, Shapingba, Dianjiang, Liangping, northwestern Fengdu, and Zhongxian, while counties with low risks were Chengkou, Wuxi, Wushan, Pengshui, and Rongchang. High-value hot spot zones gradually dominated in the northeast of Chongqing, while low-value cold spot zones gradually dominated in the Midwest. Our results provide a scientific base for the development of strategies to prevent and control AGNPS in Chongqing.
format	article
author	Kang-wen Zhu Zhi-min Yang Lei Huang Yu-cheng Chen Sheng Zhang Hai-ling Xiong Sheng Wu Bo Lei
author_facet	Kang-wen Zhu Zhi-min Yang Lei Huang Yu-cheng Chen Sheng Zhang Hai-ling Xiong Sheng Wu Bo Lei
author_sort	Kang-wen Zhu
title	Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China
title_short	Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China
title_full	Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China
title_fullStr	Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China
title_full_unstemmed	Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China
title_sort	coupling ito3de model and gis for spatiotemporal evolution analysis of agricultural non-point source pollution risks in chongqing in china
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fe3af6d9be0841d8b2133eb5c6f9daed
work_keys_str_mv	AT kangwenzhu couplingito3demodelandgisforspatiotemporalevolutionanalysisofagriculturalnonpointsourcepollutionrisksinchongqinginchina AT zhiminyang couplingito3demodelandgisforspatiotemporalevolutionanalysisofagriculturalnonpointsourcepollutionrisksinchongqinginchina AT leihuang couplingito3demodelandgisforspatiotemporalevolutionanalysisofagriculturalnonpointsourcepollutionrisksinchongqinginchina AT yuchengchen couplingito3demodelandgisforspatiotemporalevolutionanalysisofagriculturalnonpointsourcepollutionrisksinchongqinginchina AT shengzhang couplingito3demodelandgisforspatiotemporalevolutionanalysisofagriculturalnonpointsourcepollutionrisksinchongqinginchina AT hailingxiong couplingito3demodelandgisforspatiotemporalevolutionanalysisofagriculturalnonpointsourcepollutionrisksinchongqinginchina AT shengwu couplingito3demodelandgisforspatiotemporalevolutionanalysisofagriculturalnonpointsourcepollutionrisksinchongqinginchina AT bolei couplingito3demodelandgisforspatiotemporalevolutionanalysisofagriculturalnonpointsourcepollutionrisksinchongqinginchina
_version_	1718393249804058624

Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China

Ejemplares similares