{"title":"基于改进粒子群算法的矿井排水系统优化调度——以古寒山煤矿为例","authors":"Xinyi Wang, Fang Li, Xuedong Kan, Shuitao Guo, Wenjun Li, Wenjun Luo","doi":"10.1007/s10230-022-00866-7","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":18571,"journal":{"name":"Mine Water and the Environment","volume":"41 1","pages":"475 - 486"},"PeriodicalIF":2.1000,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal Scheduling of a Mine Water Drainage System Based on Improved Particle Swarm Optimization Algorithm: A Case Study of the Guhanshan Coal Mine, China\",\"authors\":\"Xinyi Wang, Fang Li, Xuedong Kan, Shuitao Guo, Wenjun Li, Wenjun Luo\",\"doi\":\"10.1007/s10230-022-00866-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":18571,\"journal\":{\"name\":\"Mine Water and the Environment\",\"volume\":\"41 1\",\"pages\":\"475 - 486\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2022-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mine Water and the Environment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s10230-022-00866-7\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mine Water and the Environment","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s10230-022-00866-7","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"WATER RESOURCES","Score":null,"Total":0}
Optimal Scheduling of a Mine Water Drainage System Based on Improved Particle Swarm Optimization Algorithm: A Case Study of the Guhanshan Coal Mine, China
期刊介绍:
Mine Water and the Environment welcomes original contributions that address either technical questions or practical issues related to the evaluation, prediction, prevention, or control of water problems at mining operations or their impact on the environment. The journal and its audience is interdisciplinary. Manuscripts should convey new technical information and be of potential interest to researchers and/or practitioners in this field. Laboratory and field experiments, modelling efforts, studies of relevant field sites, technical evaluations of new technology, and engineering applications are all appropriate.