Water quality assessment and catchment-scale nutrient flux modeling in the Ramganga River Basin in north India: An application of INCA model
作者: Devanshi PathakPaul G. WhiteheadMartyn N. FutterRajiv Sinha
作者单位: 1Department of Earth Sciences, Indian Institute of Technology Kanpur, Kanpur 208016, India
2School of Geography and the Environment, University of Oxford, OX1 3QY, UK
3Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, SE75007 Uppsala, Sweden
刊名: Science of the Total Environment, 2018, Vol.631-632 , pp.201-215
来源数据库: Elsevier Journal
DOI: 10.1016/j.scitotenv.2018.03.022
关键词: Nutrient dynamicsHydrologyCatchment scale modelingRiver health
原始语种摘要: Abstract(#br)The present study analyzes the water quality characteristics of the Ramganga (a major tributary of the Ganga river) using long-term (1991–2009) monthly data and applies the Integrated Catchment Model of Nitrogen (INCA-N) and Phosphorus (INCA-P) to the catchment. The models were calibrated and validated using discharge (1993–2011), phosphate (1993–2010) and nitrate (2007–2010) concentrations. The model results were assessed based on Pearson's correlation, Nash-Sutcliffe and Percentage bias statistics along with a visual inspection of the outputs. The seasonal variation study shows high nutrient concentrations in the pre-monsoon season compared to the other seasons. High nutrient concentrations in the low flows period pose a serious threat to aquatic life of the river although...
全文获取路径: Elsevier  (合作)
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影响因子:3.258 (2012)

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关键词翻译
关键词翻译
  • 集水区 品质
  • modeling 制祝型
  • scale 度盘
  • application 申请
  • assessment 评价
  • Basin 水池
  • dynamics 动力学
  • nutrient 养分
  • quality 品质
  • catchment 品质
  • north