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长江流域水质评价与预测
引用本文:陈润羊,涂安国.长江流域水质评价与预测[J].环境科学与技术,2008,31(12).
作者姓名:陈润羊  涂安国
作者单位:1. 东华理工大学土木与环境工程学院,江西,抚州,344000
2. 河海大学环境科学与工程学院,江苏,南京,210098
摘    要:依据长江流域水质监测资料,选用具有代表性的主要因子pH、DO、高锰酸盐指数、NH3-N,采用综合水质标识指数模型对长江流域进行了定量综合评价,评价结果表明,影响长江流域水质的主要污染因子是NH3-N和高锰酸盐指数;定量综合评价显示长江流域总体水质为Ⅱ类水,但有恶化为Ⅲ类水的趋势。据此,揭示了水质的时空变化规律。根据监测数据和水质报告,采用灰色模型预测了未来10年长江流域各类水质比例,预测表明,Ⅲ类以上可饮用水的比例在逐年减少。

关 键 词:综合水质标识指数  水质评价  灰色模型  长江流域

Assessment and Prediction of Water Quality in the Yangtze River Basin
CHEN Run-yang,TU An-guo.Assessment and Prediction of Water Quality in the Yangtze River Basin[J].Environmental Science and Technology,2008,31(12).
Authors:CHEN Run-yang  TU An-guo
Institution:CHEN Run-yang1,TU An-guo2 (1.School of Civil , Environmental Engineering,East China University of Technology,Fuzhou 344000,China,2.School of Environmental Science , Engineering,Hohai University,Nanjing 210098,China)
Abstract:Based on monitoring data of water quality, main factors including pH, DO, CODMn and NH3-N were chosen to quantitatively assess water quality of the Yangtze River by identification index model of water quality. Results showed that overall water quality of the Yangtze River satisfies Class II, but it is deteriorating to trend of Class III, with NH3-N and CODMn as major pollutants, which accordingly revealed spatial and temporal variations of the basin water. Gray model was also used to forecast water quality ...
Keywords:comprehensive identification index of water quality  water quality assessment  grey model  Yangtze River basin  
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