RISK ASSESSMENT OF URBAN DRINKING WATER SUPPLY SYSTEM: A PILOT SCALE STUDY IN CENTRAL INDIA

Pravin Meshram Aabha Sargaonkar Swapnil Kamble S Indurkar Pravin Meshram Aabha Sargaonkar Swapnil Kamble S I
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Abstract

: Hydraulic integrity problems pose high risk of contamination to treated water within the urban water distribution networks. Routine monitoring and end-of-the-pipe water quality testing do not serve the purpose of preventive risk management in this situation. Many times, contaminated water is consumed prior to its assessment, a major concern for public health in developing countries. The paper presents a strategic approach for identification and quantification of risk in a Large-Size Urban Water Supply Systems (LUWSS). The study uses Geographical Information System (GIS) and Remote Sensing (RS) analysis for mapping, field survey data, and Improved Risk Assessment of Water Distribution System (IRA-WDS) modelling and in-situ measurements of water quality in a pilot study area in Nagpur city. The quantitative risk matrix is generated by quantifying the risk as the product of the probability (likelihood) of occurrence of an event or hazard and the severity of the consequences. Risk characterization from source to consumer indicates High microbial risk due to various activities in the catchment, poor maintenance of the system and intermittent water supply. Model simulations provide exact location of 3% pipes which are in bad condition-that need replacement on priority, and approximately 7% pipes in medium condition - which need regular monitoring and maintenance to ensure drinking water safety. The results are useful to delineate a possible strategy for rehabilitation, and monitoring and maintenance of the network that could be considered to reduce the risks posed by water-quality deteriorating eventsin the distribution systems.
城市饮用水供应系统的风险评估:印度中部的试点研究
液压完整性问题对城市配水网络中处理过的水构成了很高的污染风险。在这种情况下,常规监测和末端水质检测不能起到预防性风险管理的作用。很多时候,受污染的水在评估之前就被饮用,这是发展中国家公共卫生的一个重大关切。本文提出了一种大型城市供水系统风险识别与量化的策略方法。该研究利用地理信息系统(GIS)和遥感(RS)分析进行制图、实地调查数据、改进配水系统风险评估(IRA-WDS)建模和那格浦尔市一个试点研究区的水质现场测量。量化风险矩阵是通过将风险量化为事件或危害发生的概率(可能性)与后果严重程度的乘积而生成的。从源头到消费者的风险特征表明,由于集水区的各种活动,系统维护不善和间歇性供水,微生物风险很高。模型模拟提供了3%的管道的确切位置,这些管道处于不良状态,需要优先更换,大约7%的管道处于中等状态,需要定期监测和维护,以确保饮用水安全。这些结果有助于描述一种可能的恢复、监测和维护管网的战略,可以考虑减少分配系统中水质恶化事件所带来的风险。
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