Sami Ullah Bhat

and 2 more

With growing water scarcity, jeopardized by climate change, and population growth, springs are likely to play an important role in meeting the domestic water demand in future. In the Kashmir valley, springs play an important role in meeting drinking water demand via both an organized and unorganized supply chain. This paper examines the water quality of Kashmir Valley springs during the last 11 years in relation to their geographical location, regional hydrogeological conditions, anthropogenic activities and climate change. We analyzed data for 258 springs using Geographic Information System (GIS) and Water Quality Index (WQI) techniques from the whole Kashmir Valley. WQI ranged from 23 (excellent water) to 537 (water unsuitable for drinking). The WQI indicated that 39.5% of the springs had excellent waters, 47.7% had good water, 5% had poor water, 1.6% had very poor water, and 6.2% of the samples had water unsuitable for drinking purposes. Coliform bacteria in some of the sampled springs provided evidence of organic (mainly human) pollution of shallow aquifers. Principal component analysis (PCA) yielded four principal components explaining a cumulative variance of 31%, 49%, 59%, and 67% respectively. The chemical relationships in Piper diagram identified Ca–Mg–HCO3 as the most predominant water type, whereas a Gibbs diagrams revealed that the spring water of the study region was mainly controlled by rock weathering dominance. Our findings therefore suggest that springs have the potential to offer viable solution to the rising demand and therefore merit an attention for their protection and management.

Shahid Dar

and 2 more

Globally, urban wetlands are facing immense pressure of land use land cover changes (LULCCs) and associated water quality degradation that is severely affecting the trophic status of these pristine ecosystems. This study analyzed water quality degradation resulting due to the land system changes in the vicinity of Khushalsar, an urban wetland, in Srinagar city from 1980-2017. The analysis of satellite data indicated that the wetland has lost ~18.1 ha from 1980-2017. During the same period the urban area within the wetland increased from 0.2% to 16.5%. The land cover changes assessed in the immediate vicinity of wetland indicated an increase of 119% in built-up and 62.8% in roads. The analysis of surface water quality of the wetland showed much greater degradation of Khushalsar wetland. The Trophic State Index (TSI) ranged from 73.4-84.6 thereby indicating the hyper-eutrophic nature of the wetland. A snapshot of comparative water quality data from 2002-2018 revealed that the mean concentration of NO3–N increased from 219-433 µg L-1 and total phosphorus (TP) increased from 135.4-1236 µg L-1 indicative of continuous nutrient enrichment. Hierarchical cluster analysis (HCA) clustered 8 sampling sites into 4 groups based on likeness of water quality characteristics. Similarly, discriminant analysis (DA) showed the formation of similar patterns of clusters, authenticating the outcomes of HCA. Wilk’s λ quotient dispersion highlighted the role of nutrients and ions in the development of clusters. Principal component analysis (PCA) formed three principal components (PC’s) accounting for a cumulative variance of 90.61%.