投稿中心

审稿中心

编辑中心

期刊出版

网站地图

友情链接

引用本文:黄平,赵基国.平清湖水质变化的数值预测.湖泊科学,1998,10(s1):493-498. DOI:10.18307/1998.sup49
HUANG Ping,ZHAO Jiguo.Numerical Prediction of Water Quality Change in Pinqing Lake. J. Lake Sci.1998,10(s1):493-498. DOI:10.18307/1998.sup49
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 4268次   下载 2870 本文二维码信息
码上扫一扫!
分享到: 微信 更多
平清湖水质变化的数值预测
黄平1, 赵基国2
1.Zhongshan University, Guangzhou, 510275, China;2.Guangdong Province Environmental Monitoring Center
摘要:
Pinqing Lake, which is near Shanwei city, Guangdong Province, is a lagoon. Water flow in the lake is controlled by tide current. As area of Shanwei city expands quickly, more and more urban wastewater pours into the lake. The water quality near an outfall is bad consequently. In this paper, numerical models of 2-D horizontal time-varying flow and diffusion equations are developed. Difference methods are exployed to solve the equations. After increasing domestic and industrial loads are consided, the water quality in Pinqing Lake is predicted by using the mathematics models.
关键词:  lagoon  mathematics model  difference method  prediction of water quality
DOI:10.18307/1998.sup49
分类号:
基金项目:
Numerical Prediction of Water Quality Change in Pinqing Lake
HUANG Ping1, ZHAO Jiguo2
1.Zhongshan University, Guangzhou, 510275, China;2.Guangdong Province Environmental Monitoring Center
Abstract:
Pinqing Lake, which is near Shanwei city, Guangdong Province, is a lagoon. Water flow in the lake is controlled by tide current. As area of Shanwei city expands quickly, more and more urban wastewater pours into the lake. The water quality near an outfall is bad consequently. In this paper, numerical models of 2-D horizontal time-varying flow and diffusion equations are developed. Difference methods are exployed to solve the equations. After increasing domestic and industrial loads are consided, the water quality in Pinqing Lake is predicted by using the mathematics models.
Key words:  lagoon  mathematics model  difference method  prediction of water quality
分享按钮