Understanding the spatiotemporal pollution dynamics of highly fragile montane watersheds of Kashmir Himalaya, India

被引:27
作者
Bhat, Sami Ullah [1 ]
Khanday, Shabir A. [1 ]
Islam, Sheikh Tajamul [1 ]
Sabha, Inam [1 ]
机构
[1] Univ Kashmir, Sch Earth & Environm Sci, Dept Environm Sci, Srinagar 190006, India
关键词
Jhelum river basin; Water quality; Landscape metrics; Coliform bacteria; GIS; NONPOINT-SOURCE POLLUTION; LOW-ORDER STREAMS; LAND-USE; RIVER-BASIN; CLIMATE-CHANGE; LANDSCAPE CHARACTERISTICS; FECAL INDICATOR; SPATIAL SCALES; QUALITY; COVER;
D O I
10.1016/j.envpol.2021.117335
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Pollution of riverine ecosystems through the multidimensional impact of human footprints around the world poses a serious challenge. Research studies that communicate potential repercussions of landscape structure metrics on snowmelt riverine water quality particularly, in climatically fragile Himalayan watersheds are very scarce. Though, worldwide, grasping the influence of land-use practices on water quality (WQ) has received renewed attention yet, the relevance of spatial scale linked to landscape pattern is still elusive due to its heterogenic nature across diverse geomorphic regions. In this work, therefore, we tried to capture the insights on landscape-aquascape interface by juxtapositioning the impacts of landscape structure pattern on snowmelt stream WQ of the whole Jhelum River Basin (JRB) under three varying spatial scales viz., watershed scale, riparian corridor (1000 m wide) and reach buffer (500 m wide). The percentage of landscape pattern composition and configuration metrics in the JRB were computed in GIS utilizing Landsat-8 OLI/TIRS satellite image having 30 m resolution. To better explicate the influence of land-use metrics on riverine WQ with space and time, we used Redundancy analysis (RDA) and multilinear regression (MLR) modeling. MLR selected land-use structure metrics revealed the varied response of WQ parameters to multi-scale factors except for total faecal coliform bacteria (TC) which showed perpetual presence. The reach-scale explained slightly better (76%) variations in WQ than riparian (75%) and watershed (70%) scales. Likewise, across seasonal scale, autumn (75%), winter (83%), and summer (77%) captured the most WQ variation at catchment, riparian, and reach scales respectively. We observed impairing WQ linkages with agriculture, built-up and barren rocky areas across watersheds, besides, pastures in riparian buffer areas, and fragmentation of landscape patches at the reach scale. Due to little appearance of spatial scale differences, a multi scale perspective landscape planning is emphasized to ensure future sustainability of Kashmir Himalayan water resources.
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页数:13
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