Estimating PM2.5 concentration using the machine learning GA-SVM method to improve the land use regression model in Shaanxi, China
文献类型：期刊论文
| 作者 | Zhang, Ping; Ma, Wenjie; Wen, Feng; Liu, Lei; Yang, Lianwei; Song, Jia; Wang, Ning; Liu, Qi |
| 刊名 | ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
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| 出版日期 | 2021-10-01 |
| 卷号 | 144页码:- |
| 关键词 | APEX Distributed-modeling Best management practices Nonpoint source pollution Parallel computing |
| ISSN号 | 1364-8152 |
| 英文摘要 | Agricultural Best Management Practices (BMPs) are popular approaches to reduce nonpoint source (NPS) pollutant losses. Hydrologic models that can simulate impacts of BMPs at the field-scale can help guide the selection of BMPs. Furthermore, high-performance computing techniques have significant potential for scaling spatial simulations and reducing model runtimes. In this study, a parallel modeling framework for the Agricultural Policy Environmental eXtender (APEX) model was developed for large-scale, high-resolution, spatially distributed model simulations. It provides a tool for conducting BMP evaluations at field-scale with a distributed architecture and automatic model setup of APEX. Sample results demonstrated the capability of the framework for distributed and semi-distributed modeling and illustrated the performance of parallelization. This framework can help provide guidance for decision makers on agricultural BMPs with large-scale water quality assessments and NPS nutrient loading reductions. |
| 源URL | [https://ir.rcees.ac.cn/handle/311016/46729]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 2.Xian Polytech Univ, Sch Environm & Chem Engn, Xian 710048, Peoples R China 3.Shaanxi Key Lab Land Consolidat, Xian 710075, Peoples R China 4.Yunnan Normal Univ, Sch Informat Sci & Technol, Kunming 650000, Yunnan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Ping,Ma, Wenjie,Wen, Feng,et al. Estimating PM2.5 concentration using the machine learning GA-SVM method to improve the land use regression model in Shaanxi, China[J]. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,2021,144:-. |
| APA | Zhang, Ping.,Ma, Wenjie.,Wen, Feng.,Liu, Lei.,Yang, Lianwei.,...&Liu, Qi.(2021).Estimating PM2.5 concentration using the machine learning GA-SVM method to improve the land use regression model in Shaanxi, China.ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY,144,-. |
| MLA | Zhang, Ping,et al."Estimating PM2.5 concentration using the machine learning GA-SVM method to improve the land use regression model in Shaanxi, China".ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 144(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
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