基于节点水质监测的污水管网破损位置判定方法
发布时间：2019-04-24 09:42
【摘要】：提出基于管网检查井水质特征因子监测,并结合管网和污染源地理信息系统,解析污水管段的地下水入渗量和破损程度,以解决逐段物探或流量检测成本高且难以实施的问题.采用安赛蜜作为生活污水的水质特征因子,对安徽省巢湖市某污水厂服务范围(14.4km~2)的污水管网系统地下水入渗量进行了空间分布解析,并识别出管网严重破损位置.结果表明:1基于划分管网节点的分段地下水入渗量解析,其总的入渗量解析结果与基于总体水量平衡的解析结果相对误差为21.0%,与典型管段流量监测结果的相对误差为5.4%,表明建立的方法是可靠的;2占污水管网总长0.3%的局部管段,其地下水入渗量占到总入渗水量的23.0%.因此,对局部破损管段进行修复,可以显著降低整个管网系统的破损程度.据此还提出了应用该方法的基本原则.
[Abstract]:In order to solve the problem of high cost and difficult to implement, the monitoring of water quality characteristic factor based on pipe network inspection well, combined with the GIS of pipe network and pollution source, is put forward to analyze the groundwater infiltration and damage degree of sewage pipe section in order to solve the problem of high cost and difficult to implement in step-by-step geophysical exploration or flow detection. Using Ansaimi as a characteristic factor of domestic sewage quality, the spatial distribution of groundwater infiltration in a sewage network system of a sewage plant in Chaohu City, Anhui Province, was analyzed, and the location of serious damage of the pipe network was identified by analyzing the spatial distribution of groundwater infiltration in a sewage network system of Chaohu City, Anhui Province. The results show that: (1) the relative error is 21.0% between the analytical results of the total seepage amount and the analytical results based on the total water balance, which is based on the segmented groundwater infiltration volume analysis based on the nodes of the pipe network. The relative error between the monitoring results and the flow monitoring results of typical pipe segments is 5.4%, which indicates that the established method is reliable. (2) the groundwater infiltration accounts for 23.0% of the total water infiltration in the local section of the sewerage network, which accounts for 0.3% of the total length of the sewerage network. Therefore, the damage degree of the whole pipe network system can be greatly reduced by repairing the local damaged pipe segments. On the basis of this, the basic principle of applying the method is also put forward.
【作者单位】： 同济大学长江水环境教育部重点实验室;同济大学污染控制与资源化研究国家重点实验室;
【基金】：国家水体污染控制与治理科技重大专项课题(2014ZX07303-003) 上海市研发基地建设项目(13DZ2251700)
【分类号】：X703;X832
本文编号：2464347
[Abstract]:In order to solve the problem of high cost and difficult to implement, the monitoring of water quality characteristic factor based on pipe network inspection well, combined with the GIS of pipe network and pollution source, is put forward to analyze the groundwater infiltration and damage degree of sewage pipe section in order to solve the problem of high cost and difficult to implement in step-by-step geophysical exploration or flow detection. Using Ansaimi as a characteristic factor of domestic sewage quality, the spatial distribution of groundwater infiltration in a sewage network system of a sewage plant in Chaohu City, Anhui Province, was analyzed, and the location of serious damage of the pipe network was identified by analyzing the spatial distribution of groundwater infiltration in a sewage network system of Chaohu City, Anhui Province. The results show that: (1) the relative error is 21.0% between the analytical results of the total seepage amount and the analytical results based on the total water balance, which is based on the segmented groundwater infiltration volume analysis based on the nodes of the pipe network. The relative error between the monitoring results and the flow monitoring results of typical pipe segments is 5.4%, which indicates that the established method is reliable. (2) the groundwater infiltration accounts for 23.0% of the total water infiltration in the local section of the sewerage network, which accounts for 0.3% of the total length of the sewerage network. Therefore, the damage degree of the whole pipe network system can be greatly reduced by repairing the local damaged pipe segments. On the basis of this, the basic principle of applying the method is also put forward.
【作者单位】： 同济大学长江水环境教育部重点实验室;同济大学污染控制与资源化研究国家重点实验室;
【基金】：国家水体污染控制与治理科技重大专项课题(2014ZX07303-003) 上海市研发基地建设项目(13DZ2251700)
【分类号】：X703;X832
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