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设施农业生产区降雨径流和氮磷输出特征及模拟——以滇池东岸花卉大棚种植区为例

发布时间:2018-03-30 00:25

  本文选题:非点源污染 切入点:花卉大棚 出处:《湖泊科学》2017年05期


【摘要】:为掌握滇池流域花卉大棚种植区的非点源污染特征,提高和改善滇池水环境质量,本研究选取呈贡县斗南村花卉大棚种植区作为研究对象,在实测降雨径流数据的基础上,通过建立Storm Water Management Model模型分别对全年连续降雨条件下和典型设计降雨条件下的降雨径流水质、水量进行了模拟.研究结果表明:1)模型的流量、化学需氧量(COD_(Cr))、悬浮物(SS)、总氮(TN)和总磷(TP)的Nash-Sutcliffe效率系数分别为0.858、0.835、0.803、0.712和0.752,能够较好地模拟研究区域的水质、水量变化.2)研究区域的平均径流系数为0.59,CODCr、SS、TN和TP的单位面积负荷率分别为118.34、82.90、54.64和5.46 kg/(hm~2·a),TN和TP是主要控制的污染物.3)各污染物浓度峰值的出现时间均早于流量峰值出现的时间,因此对滇池东岸花卉大棚种植区应进行污染物尤其是TP、TN浓度与流量错峰控制.
[Abstract]:In order to understand the characteristics of non-point source pollution and improve the water environmental quality of Dianchi Lake in the flower greenhouse planting area of Dianchi Lake Basin, this study selected the flower shed planting area of Dounan Village in Chenggong County as the research object, based on the measured rainfall runoff data.The Storm Water Management Model model was established to simulate the water quality and quantity of rainfall runoff under the condition of continuous rainfall and typical design rainfall respectively.The results show that the Nash-Sutcliffe efficiency coefficients of the flow, COD, SS, TN and TP) of the model are 0.858 (0.835) and 0.8033.0.712 and 0.752, respectively, which can be used to simulate the water quality of the study area.(2) the average runoff coefficient of the studied area is 0.59 and the unit area load rates of TN and TP are 118.34 and 5.46 kg/(hm~2 / a respectively. The peak concentration of each pollutant is earlier than that of the peak of flow rate, which is mainly controlled by TN and TP, respectively, which are the main pollutants in the study area, and the average runoff coefficient in the study area is 0.59 and 0.59 and the load rates of TN and TP are respectively 118.34 / 82.90 and 5.46 kg/(hm~2 / kg / kg, respectively.Therefore, the concentration and flow of TP TN should be controlled in the planting area of flower shed on the east coast of Dianchi Lake.
【作者单位】: 重庆大学三峡库区生态环境教育部重点实验室;重庆大学低碳绿色建筑国际联合研究中心;中国市政工程西南设计研究总院有限公司;
【基金】:国家水体污染控制与治理科技重大专项(2012ZX07102-001) 高等学校学科创新引智计划项目(B13041) 重庆大学大型仪器设备开放基金项目(201506150013)联合资助
【分类号】:X52;X71

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