Critical review of water quality modeling and farm scale nutrient transport models widely used

Nishchhal Nihal Pandey, Vishnu Sharma, H. N. Udayashankar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Use of software engineering concepts in environmental modeling initiated many researchers to develop new models to predict the future scenario in water quality management. To understand the basics in numerical water quality modeling, a general differential equation involving advection, diffusion and source term is explained along with a modeling framework. We reviewed the present framework of farm-scale nutrient transport models that are used to simulate and predict the nutrient concentration in each water body. Each model addresses the loss of nitrogen and phosphorus from rural population and nutrient load and concentration in waterways. Some of the key farm scale nutrient transport models that are widely used at the present time are discussed.

Original languageEnglish
Title of host publicationEmerging Trends in Engineering, Science and Technology for Society, Energy and Environment - Proceedings of the International Conference in Emerging Trends in Engineering, Science and Technology, ICETEST 2018
EditorsK.S. Jiji, Rajesh Vanchipura
PublisherCRC Press/Balkema
Pages191-196
Number of pages6
ISBN (Print)9780815357605
Publication statusPublished - 2018
EventInternational Conference in Emerging Trends in Engineering, Science and Technology, ICETEST 2018 - Thrissur, India
Duration: 18-01-201820-01-2018

Publication series

NameEmerging Trends in Engineering, Science and Technology for Society, Energy and Environment - Proceedings of the International Conference in Emerging Trends in Engineering, Science and Technology, ICETEST 2018

Conference

ConferenceInternational Conference in Emerging Trends in Engineering, Science and Technology, ICETEST 2018
Country/TerritoryIndia
CityThrissur
Period18-01-1820-01-18

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Control and Systems Engineering

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