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NPS POLLUTION ASSESSMENT IN CHAO LAKE WATERSHED BASED ON ECM

机译:基于ECM的昭湖流域NPS污染评估

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Chao Lake is one of the five largest fresh lake in China and important to the socio-economy development of Anhui Province. With the enforcement of agricultural development, agriculture planting and stock breeding sectors boosted quickly and None Point Source (NPS) Pollution has become a considerable source contributing to the total pollutants loads into Chao lake. It is essential to study NPS pollutants loading amounts and their spatial distribution for taking effective countermeasures to control NPS pollution. It is a complex task to estimate the contribution of different NPS sources in a large watershed like Chao lake. When there is no extensive pollutant discharge monitoring data, no adequate soil, land use, atmospheric and hydrodynamic data, Export Coefficient Methods (ECM) could be more practical for evaluating NPS pollution and its spatial distribution in large scale watershed. In this paper, ECM was applied using county level statistical datasets (for the year 1990, 2000 and 2009) in Chao lake watershed to assess NPS pollutants loading and their spatial distribution. The research results showed that: The research showed that: i) Total Nitrogen (TN) and Total Phosphorus (TP) generated in Chao lake watershed were 36979, 65042, 77706 and 8973, 23560, 30383 tons respectively for the year 1990, 2000 and 2009, which kept increasing trend for the past three decades; ii) For the year 2009, Livestock/Poultry Breeding sector contributed 73.8% of the TN generation, which followed by domestic waste water(15.2%) and fertilizer using(10.9%). however, Livestock/Poultry Breeding sector contributed 91.7% of the TP generation; iii) The top three counties were Feixi, Feidong and Wuwei, whose amounts of TN and TP generation accounted for 57% and 60% of the whole Chao lake watershed. Therefore effective countermeasures should be taken to control the generation and discharge amount of TP to improve water quality of Chao Lake.
机译:Chao Lake是中国五大新鲜湖泊之一,对安徽省的社会经济发展很重要。随着农业发展的执行,农业种植和股票育种部门迅速提升,无点源(NPS)污染已成为一个相当大的来源,促成了总污染物的负荷荷兰湖。必须研究NPS污染物装载量及其空间分布,以便对控制NPS污染进行有效的对策。这是一个复杂的任务,估算不同NPS来源在潮湖等大流域中的贡献。当没有广泛的污染物排放监测数据时,没有足够的土壤,土地利用,大气和流动力学数据,出口系数方法(ECM)可能更加实用,可以更实用,对评估NPS污染及其大规模流域的空间分布。本文采用县级统计数据集(1990年,2000年,2009年)在昭湖流域施用ECM,以评估NPS污染物负荷及其空间分布。研究结果表明:研究表明:i)湄湖流域产生的总氮(TN)和总磷(TP)是36979,65042,77706和8973,23560,290,2000和2000年的30383吨。 2009年,过去三十年不断增加趋势; ii)2009年,畜禽养殖部门占TN一代的73.8%,其随后是国内废水(15.2%)和肥料(10.9%)。然而,牲畜/家禽育种部门占TP生成的91.7%; iii)前三名县是飞溪,牡丹和武威,其数量的TN和TP生成占整个湄湖流域的57%和60%。因此,应采取有效的对策来控制TP的发电和排放量,以提高潮湖水质。

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