{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:26:57Z","timestamp":1740202017698,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>Heavy metals in soil not only affect the growth of plants, also harm to people's health through the food chain, and may cause the problem such as air and water pollution, influence the ecological function of urban soil. Therefore, in order to improve the living environment and solve the pollution problem thoroughly, we must find out the cause of the heavy metal pollution. In this article, through pollution index evaluation, statistical analysis, BP network spatial interpolation to establish mathematical model. The soil heavy metal pollution degree, reason and pollution source location are obtained. It provides important basis for environmental protection and urban development.<\/jats:p>","DOI":"10.3233\/978-1-61499-722-1-274","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:27:05Z","timestamp":1740133625000},"source":"Crossref","is-referenced-by-count":0,"title":["Soil Heavy Metal Pollution Research Based on Statistical Analysis and BP Network"],"prefix":"10.3233","author":[{"family":"Sun Wei-Wei","sequence":"additional","affiliation":[]},{"family":"Sheng Xing-Ping","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining II"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:58:26Z","timestamp":1740135506000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-721-4&spage=274&doi=10.3233\/978-1-61499-722-1-274"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-722-1-274","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}