Assessment of Drinking Water Quality level in Narnaul, City of Haryana

Abstract

Human existence depends on water accessibility, as well as quantity and quality. Over 50% of water is wasted in the home, agricultural, and industrial sectors as a result of extensive water extraction for these uses. A large portion of the accessible water is becoming unfit to drink due to water contamination. Surface water is the primary source of drinking water for most of Indians. The WQI, or Water Quality Index, calculates an individual value that measures the overall state of the water at a given location and time. The Indian Council of Medical Research (ICMR) and the Bureau of Indian Standards (BIS) provide a standardized method for computing the Water Quality Index, which is used in this work. The aim of this work, is to assess the Water Quality Index (WQI) of drinking water in the Narnaul city,  which is based upon both primary and  secondary data, The analyzed data is contrasted with the standard values that the ICMR and BIS recommend. Number of water quality parameters, including pH, total alkalinity, calcium, magnesium, chloride, sulfate, and nitrate, are taken into account in this work in order to compute the WQI. Additionally, the periodical, fluctuations of the Physicochemical characteristics of  the quality of water Narnaul city are calculated. The results shows According to the WQI values, the east of the city had a higher percentage of drinking water in the excellent water quality category, while the south had neutral water quality.The water quality index (WQI) is different everywhere in the city . The lowest variation was in Sample4 (Rewari Rode bore-well) 15.144339, and the highest variation was in Sample10 (Nalapur bore-well) 222.7897. A more methodical approach, the WQI method makes it easier to compare the drinking water quality of multiple sampling locations.It is clearly visible from the view that only about 50% samples in the city have suitable quality for drinking water. It is very important to treat the remaining 50% sampling stations before use. The quality of water is poor in most parts of the study area.