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了解印度克什米尔喜马拉雅山高度脆弱的山地流域的时空污染动态。

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

机构信息

Department of Environmental Science, School of Earth and Environmental Sciences, University of Kashmir, Srinagar, 190006, India.

Department of Environmental Science, School of Earth and Environmental Sciences, University of Kashmir, Srinagar, 190006, India.

出版信息

Environ Pollut. 2021 Oct 1;286:117335. doi: 10.1016/j.envpol.2021.117335. Epub 2021 May 12.

Abstract

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.

摘要

河流生态系统受到世界各地人类足迹多维度影响的污染是一个严重的挑战。研究表明,景观结构指标对融雪河流水质的潜在影响,特别是在气候脆弱的喜马拉雅流域,非常罕见。尽管全球范围内,人们重新关注土地利用实践对水质(WQ)的影响,但由于其在不同地貌区域的异质性,与景观格局相关的空间尺度的相关性仍然难以捉摸。因此,在这项工作中,我们试图通过并列景观-水生态系统界面的影响,来捕捉有关景观结构模式对融雪河流 Jhelum 河流域(JRB)整体水质的见解,在三个不同的空间尺度下,即流域尺度、河岸带(1000 米宽)和河流缓冲区(500 米宽)。在 GIS 中利用分辨率为 30 米的 Landsat-8 OLI/TIRS 卫星图像计算了 JRB 中景观格局组成和配置指标的百分比。为了更好地阐明土地利用指标对河流 WQ 的空间和时间影响,我们使用冗余分析(RDA)和多元线性回归(MLR)模型。MLR 选择的土地利用结构指标显示,WQ 参数对多尺度因素的反应各不相同,除了总粪大肠菌群(TC)外,TC 一直存在。与河岸带(75%)和流域(70%)尺度相比,河流尺度可以更好地解释(76%)WQ 变化。同样,在季节性尺度上,秋季(75%)、冬季(83%)和夏季(77%)分别在流域、河岸带和河流尺度上捕获了最多的 WQ 变化。我们观察到,在流域范围内,农业、建成区和多岩石地区以及河岸带缓冲区的牧场,以及河流尺度的景观斑块破碎化与水质恶化有关。由于空间尺度差异的出现较少,因此强调从多尺度角度进行景观规划,以确保克什米尔喜马拉雅地区水资源的未来可持续性。

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