摘要
总磷已成为湖南省地表水的首要污染物。为打赢洞庭湖总磷污染控制与削减攻坚战,以洞庭湖及其10条入湖河流断面为对象,监测其“十三五”期间和2021年断面水质,进而探明了洞庭湖流域总磷时空变化规律。结果表明:长江四口(松滋河、虎渡河、藕池河、华容河)、环湖河流(汨罗江和新墙河)及入湖口总磷浓度明显高于湘江、资江、沅江和澧水干流,同时远高于湖库Ⅲ类水质限值;洞庭湖益阳和常德湖区明显要低于岳阳湖区。沅江、澧水和华容河的总磷浓度年际变化整体呈下降趋势,其他河流基本都呈先降后升趋势。故研究建议将长江四口、环湖河流和洞庭湖岳阳湖区作为后续精准管控的重要水域。
Total phosphorus has become the main pollutant of surface water in Hunan Province.In order to win the battle of control and reduction of total phosphorus pollution in Dongting Lake,this study took Dongting Lake and its 10 river sections as the object,monitored the water quality of the sections during the"13th Five-Year Plan"period and 2021,and then explored the spatio-temporal changes of total phosphorus.The results showed that the total phosphorus concentration of the four Changjiang estuary(Songzi River,Hudu River,Ouchi River and Huarong River),the rivers around Dongting Lake(Miluo River and Xinqiang River),and the inlet of Dongting Lake was significantly higher than that in Xiangjiang River,Zijiang River,Yuanjiang River,and Lishui River,and it was much higher than the water quality limit of ClassⅢ.Dongting Lake Yiyang and Changde River areas were obviously lower than Yueyang Lake area.The interannual variation of total phosphorus concentration in Yuanjiang River,Lishui River,and Huarong River showed a decreasing trend,while that in other rivers showed a decreasing trend first and then increasing trend.The study suggested that the Yangtze Estuary,the river around Dongting Lake and the Dongting Lake Yueyang Lake area be used as important waters for accurate control in the future.
作者
樊娟
肖金
曾恬静
彭英湘
Fan Juan;Xiao Jin;Zeng Tianjing;Peng Yingxiang(Ecological Environment Monitoring Center of Hunan Province,Changsha,Hunan 410014,China;National Key Laboratory of Heavy Metal Pollution Monitoring for Environmental Protection,Changsha,Hunan 410014,China)
出处
《绿色科技》
2023年第16期99-108,共10页
Journal of Green Science and Technology
基金
2021年度湖南省环保科研项目(编号:HBKT-2021007)。
关键词
洞庭湖
入湖河流
总磷
时空变化
Dongting Lake
rivers flowing into lakes
total phosphorus
spatiotemporal variation