共查询到18条相似文献,搜索用时 56 毫秒
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以南京市上秦淮片区二横沟小流域为例,在污染源调查的基础上,采用分类法,利用改进后的污染输出系数模型进行流域污染负荷核算,得到外源污染物入河负荷量及各污染源的贡献率.研究结果表明,上秦淮片区二横沟流域内污染物排放负荷总量为COD 229.9 t/a、TN 25.8 t/a、NH3 -N 22.4 t/a、TP 1.7 t... 相似文献
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通过在典型山地城区重庆北碚区香溪美林区域选择屋面及道路、砖石、绿地3类不同下垫面进行降雨采样监测并结合现有资料,分析初期雨水径流特征。结果表明:2016—2017年重庆北碚区小雨占总降雨天数的80.4%,暴雨仅占1.3%,平均降雨量为9 mm,平均降雨强度为9.75 mm/h,降雨历时以中、短历时(1 h~6 h)为主,多为单峰降雨。降雨初期径流量变化较快,中后期变化平稳。降雨强度相同时,屋面及道路径流量最大,绿地最小。初次径流形成时间随屋面及道路、砖石、绿地依次递增,随降雨强度增强而缩短。 相似文献
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天津市区道路地表径流污染特征研究 总被引:3,自引:0,他引:3
从实际地表径流水质实地监测和实验室分析出发,理论与实践相结合,揭示了天津市区道路地表径流主要污染物的相关性及不同污染物随降雨历时动态变化规律,全年道路地表径流水质季节变化规律,全面剖析了天津市区降雨径流的污染特征,并由此提出相应的处理措施和合理化建议,为天津城市雨水污染控制提供了基础研究. 相似文献
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文章对北京全市域范围开展水环境非点源污染监测以及污染负荷估算研究。监测结果表明,天然降雨氨氮、总氮污染程度高;城区典型下垫面降雨径流的有机污染十分严重,其中屋面降雨径流总氮和氨氮污染最严重,路面降雨径流COD和总磷污染最严重;下垫面降雨径流汇入城市排水管网后,由于冲洗下水道中的沉积物,使得水质污染进一步恶化。农业典型小流域面源污染对水质影响也很明显。城市非点源污染负荷估算选用SWMM暴雨径流模型,农业非点源污染负荷模型选用改进的输出系数模型,估算结果表明:城市非点源污染主要来自大气湿沉降、综合用地、路面和屋面等,农业非点源污染主要来自耕地和林地;全市污染物排放总量中,点源排放总量与非点源排放总量基本各占50%左右。为进一步挖掘污染减排空间,完善总量减排体系提供了依据。 相似文献
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Role of Geographic Information System (GIS) in Watershed Simulation By Winvast Model 总被引:2,自引:0,他引:2
The uncertainty of modeling input will increase the simulation error, and this situation always happens in a model without user-friendly interface. WinVAST model, developed by the University of Virginia in 2003, treats an entire multi-catchment by a tree-view structure. Its extra computer programs can connect geographic information system (GIS). Model users can prepare all the necessary information in ArcGIS. Extracting information from GIS interface can not only decrease the inconvenience of data input, but also lower the uncertainty due to data preparation. The Daiyuku Creek and Qupoliao Creek in the Fei-tsui reservoir watershed in Northern Taiwan provided the setting for the case study reported herein. The required information, including slope, stream length, subbasin area, soil type and land-use condition, for WinVAST model should be prepared in a Microsoft Access database, which is the project file of WinVAST with extension mdb. In ArcGIS interface, when the soil layer, land-use layer, and Digital Elevation Model (DEM) map are prepared, all the watershed information can be created as well. This study compared the simulation results from automatically generated input and manual input. The results show that the relative simulation error resulting from the rough process of data input can be around 30% in runoff simulation, and even reach 70% in non-point source pollution (NPSP) simulation. It could conclude that GIS technology is significant for predicting watershed responses by WinVAST model, because it can efficiently reduce the uncertainty induced by input errors. 相似文献
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调查分析蔷薇河非点源废水排放情况,结合相关统计资料,核算出蔷薇河非点源废水污染物的排放量。结论表明,农田回归水污染是蔷薇河水体非点源污染的主要因素。 相似文献
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Sargaonkar A 《Environmental monitoring and assessment》2006,117(1-3):491-503
Non-point source (NPS) pollution is the result of various land use practices such as agriculture, sites of construction and
waste disposal, urban development and so on. The control of NPS pollution is possible by regular monitoring and assessment
on watershed basis to educate people for implementing well-known structural and non-structural measures. Recent trend is to
use GIS based modelling tool for assessment of rainfall-runoff and non-point loading. The approach requires generation and
analysis of basin wide data on various features of land and estimates of Event Mean Concentrations (EMCs) of pollutants in
the runoff. In the present paper, basin wide data in different districts of Tapi basin has been analysed for land use distribution;
fertilizer application; low, medium and high-density habitation; and annual rainfall. Coefficients of runoff have been estimated
considering pervious and impervious area for different land use types, and compared with the reported values for Indian conditions.
The estimated mean annual runoff flow indicated that two districts Jalgaon and Dhule contribute maximum runoff to the Tapi
River. Estimates of EMCs for BOD and nutrients (N and P) in the runoff from various districts are useful in GIS-based modelling
study for NPS pollution assessment. 相似文献
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农业面源污染防治的监测问题分析 总被引:1,自引:0,他引:1
近年来,农业面源污染已成为许多国家和地区水环境质量改善的主要影响因素,开展农业面源污染监测将为深入打好污染防治攻坚战提供重要支撑。该文系统分析当前我国农业面源污染监测存在的主要问题,综合考虑国内外经验,提出如下建议:采取空间嵌套式的布局模式优化地表水环境监测点位,充分发挥环境监测的预测预报和风险评估功能;建立包括污染源、产排污系数和空间传输过程的农业面源污染全过程监测网络;定期开展土壤氮、磷养分含量评估和地下水硝酸盐氮测定和评估;建立完善数据整合与共享机制。 相似文献
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贵州农用地土壤在长期的耕作过程中,承载大量的重金属污染物,影响土壤质量。采集了贵州东部、南部、中部、北部主要农业非点源重金属污染区土壤样品进行检测。结果表明,贵州农业非点源重金属污染物主要是Hg、Pb,贵州省农业非点源污染土壤中重金属累积污染程度Hg>Pb>Cd>As>Cr。各地区污染物种类和程度不同,重金属As污染为中部地区较高,农业土壤Hg、Pb污染主要集中在中部和东部地区,Cd污染主要发生在南部区域。 相似文献
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为探究渭河流域陕西段农业面源污染成因,明晰污染物空间分布,以精确评估区域内农业面源污染状况,采用产污系数法与等标污染负荷法核算渭河流域陕西段2021年各县(区、市)农业面源污染物化学需氧量(COD)、总氮(TN)、总磷(TP)的排放量、等标污染排放量和排放强度。运用自然断裂法和ArcGIS软件对农村生活、农田化肥、畜禽养殖、水产养殖4类污染源产生的污染物排放强度进行生态敏感性分析。结果表明:2021年渭河流域陕西段农业面源污染物总排放量为325.6万t,其中COD、TN、TP排放量分别为142.2万、129.1万、54.3万t;COD、TN、TP排放强度分别为2 936、2 665、1 121 kg/km2。渭河流域陕西段内各县(区、市)农业面源污染排放以农田化肥源和畜禽养殖源为主体,农业面源污染排放量的空间分布特征为从高到低、以中部县(区、市)为中心的环状分布。研究结果可为区域内农业面源污染防治提供数据支持与参考,为当地生态保护和农业产业结构调整助力。 相似文献