Variability effect of hydrological regime on river quality pattern and its uncertainties: case study of Zarjoob River in Iran
River water quality assessment, affected by pollution load, and river regime changes in various climate conditions, is an implementation that simplifies water resources management, and justifies terms for increases or decreases in human activities. The current paper aims to offer a water quality mod...
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oai:doaj.org-article:b0d73274d86841ea8f592f164dee769b2021-11-05T17:51:37ZVariability effect of hydrological regime on river quality pattern and its uncertainties: case study of Zarjoob River in Iran1464-71411465-173410.2166/hydro.2021.027https://doaj.org/article/b0d73274d86841ea8f592f164dee769b2021-09-01T00:00:00Zhttp://jh.iwaponline.com/content/23/5/1146https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734River water quality assessment, affected by pollution load, and river regime changes in various climate conditions, is an implementation that simplifies water resources management, and justifies terms for increases or decreases in human activities. The current paper aims to offer a water quality model of a river considering parametric, hydrologic, and pollution load uncertainty by using uncertainty indexes like Plevel, ARIL, and NUE. These indexes were used to analyze the influences of the model's parameters and the river's regime alternations on the results. A Qual2K model, calibrated with PSO algorithm, is presented and connected to GLUE algorithm to assess the model's uncertainties like effective input parameters on the modeled variations, headwater flow, and input pollutions. Zarjoob River, in the north of Iran, was chosen as the case study. The results illustrate that the interaction among parameters, hydrologic and pollutant discharge data should be considered in river water quality simulation. The presented methodology can analyze the influences of parametric uncertainty, parametric and hydrologic uncertainty, and pollution input load uncertainty according to any quantity of observations and the modeled results of any river. HIGHLIGHTS Using PSO algorithm in order to calibrate a Qual-2K model.; Assessment of parametric and hydrologic uncertainty in the meantime.; Using scenarios for input load uncertainty assessment.; Assessment of parametric uncertainty-hydrological uncertainty-point sources load uncertainty.; Presenting a framework applicable in uncertainty evaluation of any river water quality model.;Saman EbrahimiMahdis KhorramIWA Publishingarticlegluepsoqual2kuncertainty assessmentwater quality modelingInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 5, Pp 1146-1164 (2021) |
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glue pso qual2k uncertainty assessment water quality modeling Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 |
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glue pso qual2k uncertainty assessment water quality modeling Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Saman Ebrahimi Mahdis Khorram Variability effect of hydrological regime on river quality pattern and its uncertainties: case study of Zarjoob River in Iran |
description |
River water quality assessment, affected by pollution load, and river regime changes in various climate conditions, is an implementation that simplifies water resources management, and justifies terms for increases or decreases in human activities. The current paper aims to offer a water quality model of a river considering parametric, hydrologic, and pollution load uncertainty by using uncertainty indexes like Plevel, ARIL, and NUE. These indexes were used to analyze the influences of the model's parameters and the river's regime alternations on the results. A Qual2K model, calibrated with PSO algorithm, is presented and connected to GLUE algorithm to assess the model's uncertainties like effective input parameters on the modeled variations, headwater flow, and input pollutions. Zarjoob River, in the north of Iran, was chosen as the case study. The results illustrate that the interaction among parameters, hydrologic and pollutant discharge data should be considered in river water quality simulation. The presented methodology can analyze the influences of parametric uncertainty, parametric and hydrologic uncertainty, and pollution input load uncertainty according to any quantity of observations and the modeled results of any river. HIGHLIGHTS
Using PSO algorithm in order to calibrate a Qual-2K model.;
Assessment of parametric and hydrologic uncertainty in the meantime.;
Using scenarios for input load uncertainty assessment.;
Assessment of parametric uncertainty-hydrological uncertainty-point sources load uncertainty.;
Presenting a framework applicable in uncertainty evaluation of any river water quality model.; |
format |
article |
author |
Saman Ebrahimi Mahdis Khorram |
author_facet |
Saman Ebrahimi Mahdis Khorram |
author_sort |
Saman Ebrahimi |
title |
Variability effect of hydrological regime on river quality pattern and its uncertainties: case study of Zarjoob River in Iran |
title_short |
Variability effect of hydrological regime on river quality pattern and its uncertainties: case study of Zarjoob River in Iran |
title_full |
Variability effect of hydrological regime on river quality pattern and its uncertainties: case study of Zarjoob River in Iran |
title_fullStr |
Variability effect of hydrological regime on river quality pattern and its uncertainties: case study of Zarjoob River in Iran |
title_full_unstemmed |
Variability effect of hydrological regime on river quality pattern and its uncertainties: case study of Zarjoob River in Iran |
title_sort |
variability effect of hydrological regime on river quality pattern and its uncertainties: case study of zarjoob river in iran |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/b0d73274d86841ea8f592f164dee769b |
work_keys_str_mv |
AT samanebrahimi variabilityeffectofhydrologicalregimeonriverqualitypatternanditsuncertaintiescasestudyofzarjoobriveriniran AT mahdiskhorram variabilityeffectofhydrologicalregimeonriverqualitypatternanditsuncertaintiescasestudyofzarjoobriveriniran |
_version_ |
1718444119931486208 |