Assessing hydrological and water quality parameters in the Hathmati Watershed using the SWAT (Soil and Water Assessment Tool)

Author:

Shah Payal Vinitkumar1ORCID,Shaikh Mohd Zuned M.1ORCID,Lodha Pradeep P.1ORCID

Affiliation:

1. 1 Research Scholar, Civil Engineering, Gujarat Technological University, Ahmedabad, Gujarat, India

Abstract

Abstract The study is conducted on the Hathmati River, which is the principal tributary of the Sabarmati River, one of Gujarat's biggest rivers. Indicators of water quality such organic N, organic P, NO3, NH4, NO2, total N, and total P were compared between the observed values in the watershed and the streamflow models. For monthly streamflow and monthly nitrate during the calibration period of 1999–2012, and for 0.87 and 0.56 for the validation period of 2013–2020, respectively, the Nash–Sutcliffe efficiency was 0.89 and 0.79. The measured water quality data at three locations in the watershed were largely compatible with their corresponding modeled values, while the agreement varied by nutrients. Using the parameters used to forecast the hydrological and water quality responses in the watershed region, the Soil and Water Assessment Tool model faithfully duplicated the hydrological and water quality conditions in this agricultural watershed. The results of the modeling indicated that nutrients are one of the key determinants with regard to the quality of the water, in accordance with the current land use and management practices in the watershed. Management practices should be implemented in order to reduce the nutrient load and meet the watershed's requisite water quality standards.

Publisher

IWA Publishing

Subject

Water Science and Technology

Reference16 articles.

1. MODELING LONG-TERM WATER QUALITY IMPACT OF STRUCTURAL BMPS

2. Department of Biotechnology 2018 DBT Report. Annual. Ministry of Science and Technology, New Delhi. Available at: mfms.nic.in.

3. Study of rainfall variation pattern in Hathmati Basin;Dave;Global Journal for Research Analysis,2012

4. The quality of our Nation's waters – nutrients in the Nation's streams and groundwater, 1992–2004;Dubrovsky;US Geological Survey Circular,2010

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