[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-detail-439948-en":59,"doc-seo-439948-105":81},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":5,"data":60},{"doc_id":61,"user_id":62,"nickname":63,"user_avatar":64,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":66,"doc_content":67,"file_id":68,"file_url":69,"file_type":70,"file_size":71,"view_count":8,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":72,"language":73,"language_code":74,"site_id":75,"html_lang":74,"table_of_contents":76,"faqs":77,"seo_title":78,"seo_description":66,"update_tm":79,"read_time":80},439948,2336477982702,"Marglet","https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","Spatial-temporal evolution and influencing factors of sudden environmental accidents in China from 2008 to 2022 - Research article","Spatiotemporal evolution characteristics and influencing factors of sudden environmental accidents are analyzed for 31 provinces, municipalities, and autonomous regions in China from 2008 to 2022 using exploratory spatial analysis and Pearson correlation. Results show an inverted-V structure with 2013 as the turning point and an overall decreasing trend. Autumn to winter proportions, peak months and dates, and weekday differences are reported, alongside an imbalanced spatial pattern. Hot and cold spots are identified, and investment and secondary industry effects emerge as main drivers.","OPEN ACCESS  \nCitation: Yan J, Yan S, He S, Wang X, Yang X, Li X (2026) Spatial-temporal evolution and influencing factors of sudden environmental accidents in China from 2008 to 2022. PLoSOne 21(1): e0339526. [https://doi.org/10.1371/](https://doi.org/10.1371/)[ ](https://doi.org/10.1371/)[journal.pone.0339526](journal.pone.0339526)  \nEditor: Qing-Chang Lu, Chang'an University, CHINA  \nReceived: June 29, 2025  \nAccepted: December 7, 2025  \nPublished: January 5, 2026  \nCopyright: © 2026 Yan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.  \nData availability statement: Data can be made publicly available; The data can be available at [https://zenodo.org/records/17486051](https://zenodo.org/records/17486051) .  \nFunding: This research was supported by the National Natural Science Foundation of China (42371255).The funder provided financial support and was involved in certain aspects of  \nRESEARCH ARTICLE  \nSpatial-temporal evolution and influencing factors of sudden environmental accidents in China from 2008 to 2022  \nJun Yan1,2*, Shi Yan1, Shihan He1, Xinying Wang1, Xuemei Yang1, Xu Li1  \n1 School of Geographic Sciences, Xinyang Normal University, Xinyang, China, 2 Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, Xinyang, China  \n* [pgworker@xynu.edu.cn](pgworker@xynu.edu.cn)  \nAbstract  \nThe spatiotemporal evolution characteristics and influencing factors of sudden environmental accidents are analyzed by employing exploratory spatial analysis and Pearson correlation analysis, based on the statistical data of sudden environmental accidents in 31 provinces, municipalities, and autonomous regions in China from 2008 to 2022. The results provide valuable insights for the prevention and treatment of sudden environmental pollution emergencies. The results showed that: (1) the total of sudden environmental accidents exhibited an inverted V shaped structure with 2013 as the turning point, showing an overall decreasing trend in China. (2) The seasons when the sudden environmental accidents occurred from the highest to lowest proportions were autumn (29 .01%), summer (26 .29%), spring (24 .80%), and winter (20 . 19%) . The months with the highest frequency were May and July, while October and December had the lowest. The dates with the most occurrences were the 5th, 7th, 4th, 2nd, 11th, and 9th, while the 31st, 30th, 29th, and 27th were the lowest. Regarding weekdays, Monday (16 .56%), Wednesday (15 .94%), and Thursday (14 .38%) were the highest proportions, while Sunday (12 .50%) was the lowest. (3) Spatial distribution revealed an overall imbalance, with the eastern coastal comprehensive economic zone being the highest frequency of environmental accidents, followed by the middle reaches of the Yellow River comprehensive economic zone, and the northeast comprehensive economic zone having the lowest. Provinces with the highest number of sudden environmental accidents were mainly in Shanghai (1129), Shaanxi Province (472), and Jiangsu Province (419) . Based on the cold and hot spot analysis, H-H areas were mainly located in the southeast coastal regions, L-L areas were concentrated in the western and northeastern regions, and L-H areas were distributed in the central regions. (4) Pearson correlation analysis indicated that investment in the treatment of industrial pollution as percentage of GDP and secondary industry output value as Percentage of GDP were the main driving factors for  \nPLOS One | [https://doi.org/10.1371/journal.pone.0339526](https://doi.org/10.1371/journal.pone.0339526) January 5, 2026 1 / 14  \nthe study, including the research design, data collection, and data analysis of this article.  \nCompeting interests: The author declares no conflict of interest.  \nsudden","cbCaiq8XiWH5disa","https://ap.wps.com/l/cbCaiq8XiWH5disa","pdf",1114129,14,"English","en",105,"# Abstract\n# Introduction","[{\"question\":\"How were sudden environmental accidents studied across China from 2008 to 2022?\",\"answer\":\"The study used exploratory spatial analysis and Pearson correlation analysis based on statistical data from 31 provinces, municipalities, and autonomous regions.\"},{\"question\":\"What overall temporal trend was found in the number of accidents?\",\"answer\":\"The total accidents showed an inverted-V shaped structure with 2013 as the turning point and an overall decreasing trend across China.\"},{\"question\":\"Which factors were identified as main driving factors and which had inhibitory effects?\",\"answer\":\"Investment in treatment of industrial pollution as a share of GDP and secondary industry output value as a share of GDP were main driving factors. Per capita GDP, pollutant emissions, and indicators related to environmental pollution letters and phone calls had inhibitory effects.\"}]","Spatial-temporal evolution and influencing factors of sudden environmental accidents in China from 2008 to 2022 - Research article | PDF",1790690582,35,{"code":4,"msg":82,"data":83},"ok",{"site_id":75,"language":74,"slug":84,"title":65,"keywords":85,"description":66,"schema_data":86,"social_meta":140,"head_meta":142,"extra_data":144,"updated_unix":145},"spatial-temporal-evolution-and-influencing-factors-of-sudden-environmental-accidents-in-china-from-2008-to-2022-research-article","",{"@graph":87,"@context":139},[88,102,122],{"@type":89,"itemListElement":90},"BreadcrumbList",[91,95,97,100],{"item":92,"name":93,"@type":94,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":96,"name":9,"@type":94,"position":14},"https://docshare.wps.com/document/",{"item":98,"name":40,"@type":94,"position":99},"https://docshare.wps.com/document/research-report/",3,{"item":101,"name":65,"@type":94,"position":19},"https://docshare.wps.com/document/spatial-temporal-evolution-and-influencing-factors-of-sudden-environmental-accidents-in-china-from-2008-to-2022-research-article/439948/",{"url":101,"name":65,"@type":103,"image":104,"author":109,"headline":65,"publisher":111,"fileFormat":114,"inLanguage":74,"description":66,"dateModified":115,"datePublished":116,"encodingFormat":114,"isAccessibleForFree":117,"interactionStatistic":118},"DigitalDocument",{"url":105,"@type":106,"width":107,"height":108},"https://docshare.wps.com/thumbnails/spatial-temporal-evolution-and-influencing-factors-of-sudden-environmental-accidents-in-china-from-2008-to-2022-research-article/439948.png","ImageObject",300,407,{"name":63,"@type":110},"Person",{"url":92,"name":112,"@type":113},"DocShare","Organization","application/pdf","2026-09-30","2026-09-29",true,{"@type":119,"interactionType":120,"userInteractionCount":8},"InteractionCounter",{"@type":121},"ViewAction",{"@type":123,"mainEntity":124},"FAQPage",[125,131,135],{"name":126,"@type":127,"acceptedAnswer":128},"How were sudden environmental accidents studied across China from 2008 to 2022?","Question",{"text":129,"@type":130},"The study used exploratory spatial analysis and Pearson correlation analysis based on statistical data from 31 provinces, municipalities, and autonomous regions.","Answer",{"name":132,"@type":127,"acceptedAnswer":133},"What overall temporal trend was found in the number of accidents?",{"text":134,"@type":130},"The total accidents showed an inverted-V shaped structure with 2013 as the turning point and an overall decreasing trend across China.",{"name":136,"@type":127,"acceptedAnswer":137},"Which factors were identified as main driving factors and which had inhibitory effects?",{"text":138,"@type":130},"Investment in treatment of industrial pollution as a share of GDP and secondary industry output value as a share of GDP were main driving factors. Per capita GDP, pollutant emissions, and indicators related to environmental pollution letters and phone calls had inhibitory effects.","https://schema.org",{"og:url":101,"og:type":141,"og:title":65,"og:site_name":112,"og:description":66},"article",{"robots":143,"canonical":101},"index,follow",{"doc_id":61,"site_id":75},1790762622]