Spatial-Temporal Change Characteristic Analysis and Environmental Risk Evaluation of Pesticide Application in Anhui Province

被引:0
作者
Zhou, Qi [1 ]
机构
[1] Tongling Univ, Coll Civil Engn & Architecture, Tongling 244061, Peoples R China
关键词
pesticide application intensity; spatial-temporal change; spatial autocorrelation; pesticide environmental risk; Anhui Province; AUTOCORRELATION; ASSOCIATION; RESIDUE;
D O I
10.3390/su141811735
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The excessive application of pesticides causes the increase in pesticide residues, and pesticide pollution presents a point-line-plane 3D space pollution trend. This paper takes pesticide application intensity (PAI for short) as the object, adopts spatial autocorrelation theory to analyze the spatial-temporal change characteristics of PAI in Anhui Province from 2003 to 2020, and constructs the environmental risk index method to evaluate pesticide environmental risk, aiming to provide a reference for macro control pesticide dosage, zoning guidance, and agricultural sustainable development in Anhui Province. The following results were obtained: From 2003 to 2020, the PAI in Anhui Province showed a spatial-temporal change process of first increasing and then decreasing, as well as first clustering and then random distribution. Before 2013, the significant hot spots and cold spots of PAI in Anhui Province were located in southern and northern Anhui, respectively. In addition, the scope of both experienced a process of expanding and then contracting. In recent years, there have been no significant hot and cold areas of PAI in Anhui Province. The overall trend of pesticide environmental risk in the provincial cities in Anhui Province decreased. In 2020, pesticide environmental risk in various provincial cities is dominated by medium- and low-risk levels, which are still higher than in 2003. High-risk and extremely high-risk levels are mainly concentrated in Huainan and Suzhou in northern Anhui and Chizhou and Huangshan in southern Anhui.
引用
收藏
页数:14
相关论文
共 28 条
[21]   Spatial-Temporal Evolution and Correlation Analysis of Ecosystem Service Value and Landscape Ecological Risk in Wuhu City [J].
Jia, Yanyan ;
Tang, Xiaolan ;
Liu, Wei .
SUSTAINABILITY, 2020, 12 (07) :1-17
[22]   Spatial-temporal analysis of hepatitis E in Hainan Province, China (2013-2022): insights from four major hospitals [J].
Yun, Zhi ;
Li, Panpan ;
Wang, Jinzhong ;
Lin, Feng ;
Li, Wenting ;
Weng, Minhua ;
Zhang, Yanru ;
Wu, Huazhi ;
Li, Hui ;
Cai, Xiaofang ;
Li, Xiaobo ;
Fu, Xianxian ;
Wu, Tao ;
Gao, Yi .
FRONTIERS IN PUBLIC HEALTH, 2024, 12
[23]   Evaluation and analysis of spatio-temporal variation of water resources carrying capacity and restraining factor: a case study in Anhui Province, China [J].
Xu, Wentao ;
Jin, Junliang ;
Zhang, Jianyun ;
Liu, Yanli ;
Shu, Zhangkang ;
Wang, Guoqing ;
Bao, Zhenxin ;
Liu, Cuishan ;
Guan, Tiesheng ;
He, Ruimin .
MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, 2024, 29 (05)
[24]   Fine scale Spatial-temporal cluster analysis for the infection risk of Schistosomiasis japonica using space-time scan statistics [J].
Gao, Feng-hua ;
Abe, Eniola Michael ;
Li, Shi-zhu ;
Zhang, Li-juan ;
He, Jia-chang ;
Zhang, Shi-qing ;
Wang, Tian-ping ;
Zhou, Xiao-nong ;
Gao, Jing .
PARASITES & VECTORS, 2014, 7
[25]   Fine scale Spatial-temporal cluster analysis for the infection risk of Schistosomiasis japonica using space-time scan statistics [J].
Feng-hua Gao ;
Eniola Michael Abe ;
Shi-zhu Li ;
Li-juan Zhang ;
Jia-Chang He ;
Shi-qing Zhang ;
Tian-ping Wang ;
Xiao-nong Zhou ;
Jing Gao .
Parasites & Vectors, 7
[26]   Spatial-temporal variation and risk factor analysis of hand, foot, and mouth disease in children under 5 years old in Guangxi, China [J].
Liu, Huan ;
Song, Genxin ;
He, Nan ;
Zhai, Shiyan ;
Song, Hongquan ;
Kong, Yunfeng ;
Liang, Lizhong ;
Liu, Xiaoxiao .
BMC PUBLIC HEALTH, 2019, 19 (01)
[27]   Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province [J].
Wang, Yaqi ;
Wan, Zhiwei .
GEOSPATIAL HEALTH, 2022, 17 (01)
[28]   Application of GIS Spatial Analysis and Scanning Statistics in the Gynecological Cancer Clustering Pattern and Risk Screening: A Case Study in Northern Jiangxi Province, China [J].
Wan, Zhiwei ;
Wang, Yaqi ;
Deng, Chunhong .
RISK MANAGEMENT AND HEALTHCARE POLICY, 2020, 13 :1079-1093