DOI: 10.5194/hess-22-4745-2018
论文题名: Population growth; land use and land cover transformations; and water quality nexus in the Upper Ganga River basin
作者: Kumar Shukla A. ; Shekhar Prasad Ojha C. ; Mijic A. ; Buytaert W. ; Pathak S. ; Dev Garg R. ; Shukla S.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期: 9 起始页码: 4745
结束页码: 4770
语种: 英语
Scopus关键词: Biochemical oxygen demand
; Calcite
; Calcium carbonate
; Coliform bacteria
; Correlation methods
; Dissolved oxygen
; Fluorine compounds
; Industrial wastes
; Information use
; Land use
; Linear regression
; Population statistics
; Remote sensing
; Rivers
; Rural areas
; Water quality
; Watersheds
; Biological oxygen demand
; Land use and land cover
; Landsat-7 (L7) Enhanced Thematic mapper plus (ETM+)
; Multiple linear regression models
; Multiple linear regressions
; Spatio-temporal variation
; Water quality degradation
; Water quality parameters
; River pollution
; anthropogenic source
; biochemical oxygen demand
; coliform bacterium
; dissolved oxygen
; fluoride
; hardness
; industrial waste
; land cover
; land use change
; pH
; population growth
; regression analysis
; turbidity
; water quality
; Ganges River
英文摘要: The Upper Ganga River basin is socioeconomically the most important river basin in India and is highly stressed in terms of water resources due to uncontrolled land use and land cover (LULC) activities. This study presents a comprehensive set of analyses to evaluate the population growth, LULC transformations, and water quality nexus for sustainable development in this river basin. The study was conducted at two spatial scales: basin scale and district scale. First, population data were analyzed statistically to study demographic changes, followed by LULC change detection over the period of February-March 2001 to 2012 (Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data) using remote sensing and geographical information system (GIS) techniques. Trends and spatiotemporal variations in monthly water quality parameters, viz. biological oxygen demand (BOD), dissolved oxygen (DO, measured in percentage), fluoride (F), hardness (CaCO3), pH, total coliform bacteria and turbidity, were studied using the Mann-Kendall rank test and an overall index of pollution (OIP) developed specifically for this region, respectively. A relationship was deciphered between LULC classes and OIP using multivariate techniques, viz. Pearson's correlation and multiple linear regression. From the results, it was observed that population has increased in the river basin. Therefore, significant and characteristic LULC changes were observed. The river became polluted in both rural and urban areas. In rural areas, pollution is due to agricultural practices, mainly fertilizers, whereas in urban areas it is mainly contributed from domestic and industrial wastes. Water quality degradation has occurred in the river basin, and consequently the health status of the river has also changed from acceptable to slightly polluted in urban areas. Multiple linear regression models developed for the Upper Ganga River basin could successfully predict status of the water quality, i.e., OIP, using LULC classes. © Author(s) 2018. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163201
Appears in Collections: 气候变化与战略
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作者单位: Kumar Shukla, A., Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India; Shekhar Prasad Ojha, C., Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India; Mijic, A., Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom; Buytaert, W., Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom; Pathak, S., Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India; Dev Garg, R., Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India; Shukla, S., Centre of Studies in Resources Engineering (CSRE), Indian Institute of Technology Bombay, Mumbai, India
Recommended Citation:
Kumar Shukla A.,Shekhar Prasad Ojha C.,Mijic A.,et al. Population growth; land use and land cover transformations; and water quality nexus in the Upper Ganga River basin[J]. Hydrology and Earth System Sciences,2018-01-01,22(9)