长江马鞍山段内河水质二维预测计算模型
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摘要
长江马鞍山段是马鞍山市最重要的水源,而又汇集全市工业废水和生活污水排放,因此建立适合此江段水域的水质评价和预测模型,预报排污对水质的影响就比较重要。本文通过建立适合长江马鞍山段内河水域的二维模拟预测模型,预报排污对水质的影响范围和程度,考察各排口污染物NH_3-N、TP、F~-在本江段的浓度分布。结果表明:姑溪河的影响较明显,但各污染物混合带宽度不超过100m,污染带对下游影响仅有2 000 m范围,水质基本上能达到Ⅱ类水质要求;通过编制二维模拟预测模型计算软件,可应用于污染控制措施、突发污染事件的预测防范以及沿江产业结构、布局调整等。
The Ma'anshan section of the Yangtze River is the most important water source of Ma'anshan and the section still collect city's industrial wastewater and domestic sewage. Therefore,it is more important to establish the evaluation and prediction model of water quality which can predict the effect of pollution discharge on water quality in Ma'anshan section of the river. The influence scope and extent of pollution discharge on water quality could be forecasted through establishing the two dimensional simulation and prediction model of inland waters in Ma'anshan section of the Yangtze River. The concentration distribution of pollutants NH_3- N,TP and F~-in this section were investigated. The results showed that the influence of pollution discharge on Guxi river is obvious,but the mixing zone width of pollutants is less than 100 m. The pollution band has the impact scope of a thousand meters on overall water quality in downstream of the river. The water quality can basically reach the requirements of class II in Ma'anshan section of the Yangtze River. At the same time,the prediction model of two- dimensional simulation has certain guiding significance for the measure of pollution control,forecast of major emergencies and adjustment of industry structure and layout along the Yangtze Rive.
The Ma'anshan section of the Yangtze River is the most important water source of Ma'anshan and the section still collect city's industrial wastewater and domestic sewage. Therefore,it is more important to establish the evaluation and prediction model of water quality which can predict the effect of pollution discharge on water quality in Ma'anshan section of the river. The influence scope and extent of pollution discharge on water quality could be forecasted through establishing the two dimensional simulation and prediction model of inland waters in Ma'anshan section of the Yangtze River. The concentration distribution of pollutants NH_3- N,TP and F~-in this section were investigated. The results showed that the influence of pollution discharge on Guxi river is obvious,but the mixing zone width of pollutants is less than 100 m. The pollution band has the impact scope of a thousand meters on overall water quality in downstream of the river. The water quality can basically reach the requirements of class II in Ma'anshan section of the Yangtze River. At the same time,the prediction model of two- dimensional simulation has certain guiding significance for the measure of pollution control,forecast of major emergencies and adjustment of industry structure and layout along the Yangtze Rive.
引文
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[2]赵凯.基于GIS的马鞍山长江段突发性水污染预警系统研究[D].安徽工业大学,2010.
[3]赵前信.四种水环境质量评价方法在六安市水库中的应用[J].环境工程,2014,3(3):113-116+120.
[4]张小君,徐中民,宋晓谕,等.几种水环境质量评价方法在青海湖入湖河流中的应用[J].环境工程,2013,32(1):117-121.
[5]国家环保总局,国家质量监督检验检疫总局。GB3838-2002地表水环境质量标准[S].北京:中国环境科学出版社,2002.
[6]段德宏,王根霞,王萍.一维稳态河流水质的计算机模拟[J].水资源与水工程学报,2005,16(3):54-56+61.
[7]丁艳华,杨俊,杨莉,等.模糊数学在水环境评价中的应用[J].能源与环境,2008(1):7-8.
[8]Li-Chang Hsu.Applying the grey prediction model to the global integrated circuit industry[J].Technological Forecasting and Social Change,2003,70(6):563-574.
[9]王守坤,张传珂.沭河水质模糊综合评价评价模型建立与应用[J]环境科学与管理,2013,38(2):63-66.
[10]李如忠.水质评价理论模式研究进展及趋势分析[J].合肥工业大学学报(自然科学版),2005,28(4):369-373.
[11]王丹宁,赵明,赵洪宾.灰色关联属性识别模型在给水管网水质分析中的应用[J].环境与健康杂志,2007,24(8):580-582.
[12]门宝辉,梁川.水质量评价的物元分析法[J].哈尔滨工业大学学报.2003,35(3):358-361.
[13]孙培德,楼菊青.环境系统数学模型及数值模拟[M].北京:中国环境科学出版社,2005.
[14]王纪东.内河危化品码头安全风险评估与应急管理研究[D].重庆交通大学,2013.
目录