利用模糊水质指数 (FWQI) 计算巴拉马提的地下水质量

Sarita Jibhau Wagh, Pradip M. Paithane, M. D. Sangale, Pondhe G.M
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引用次数: 0

摘要

地表水和地下水是可用于家庭、农业和工程的潜在自然资源之一。由于人为因素和某些自然原因,巴拉玛蒂市和德希尔区的地下水已经恶化。农业使用了更多的杀虫剂和化肥,因此地下水供应受到了影响。化粪池"、"沐浴污水"、"受污染的水体"、"不当的废弃物管理"、"公共排泄物"、"不当的废物结构"、"公共污水排放 "和 "无组织的固体废物处理 "都可能造成城市水污染。本次研究将提高巴拉玛蒂省受工业和饮用水供应影响地区的水质指数的准确性。地下水区的创建采用了加权指数叠加分析法,该方法根据几类单项水质指标和饮用水标准分配权重。基于少量观察结果,模糊逻辑为饮用水水质分类提供了一种有效而实用的工具。本研究的目的是为全流域水库提供基于模糊逻辑的水质指标。对于基于权重的模糊水质指标,至少需要 6 种理化指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computation of Groundwater Quality of Baramati with the help of Fuzzy Water Quality Index (FWQI)
One of the natural resources having the latent for home, agrarian, and engineering use is surface and groundwater. Due to humanoid and certain natural reasons, the eminence of the groundwater serving Baramati City and Tehsil has deteriorated. Agriculture is using more pesticides and fertilizer, therefore this supply is being affected. Municipal water pollution can be caused by “septic boilers”, “bathe sewage”, “polluted aquatic”, “improper discarded management”, “public excretion”, “improper waste structure”, “public sewage discharges”, and “unorganized solid waste disposal”. The current study will improve the accuracy of the water quality index for areas in Baramati Tehsil that are affected by industry and drinking water supplies. The groundwater zones were created using a weighted index overlay analysis, which assigned weights based on several classes of individual water quality metrics and drinking water standards. Based on few observations, fuzzy logic offers an effective and practical tool for categorizing drinking water quality. This study's objective is to provide a fuzzy logic-based water quality indicator for basin-wide reservoirs. For a weight-based fuzzy quality index, a minimum of 6 physico-chemicals are needed.
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