Modeling agricultural practice impacts on surface water quality: case of Northern Aegean watershed, Turkey


Avci B. C. , Kesgin E., Atam M., Tan R.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2022
  • Doi Number: 10.1007/s13762-022-04477-1
  • Journal Name: INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Biotechnology Research Abstracts, CAB Abstracts, Compendex, Environment Index, Geobase, INSPEC, Pollution Abstracts, Veterinary Science Database
  • Keywords: SWAT, Nitrate, BMP, Surface water quality, Fertilizer, SWAT MODEL, SENSITIVITY-ANALYSIS, RIVER-BASIN, UNCERTAINTY, CALIBRATION, SOIL, TOOL, HYDROLOGY, SUFI-2
  • Istanbul Technical University Affiliated: Yes

Abstract

The Northern Aegean Watershed has 9032 km(2) surface area and it is one of the twenty-one major watersheds in Turkey. Excessive use of fertilizers in farming activities undertaken in the Northern Aegean Watershed has led to nitrate and phosphorus level increases in the watershed surface water. The study aims to simulate the surface water quality over twenty years (2010-2030) using the Soil and Water Assessment Tool (SWAT) for the various potential BMP scenarios. Comparison of simulated results based on the developed BMP scenarios with the simulation results of the existing practices were used to review the effectiveness of the BMP on improving surface water quality. The SWAT-CUP process was used for calibration, validation, and sensitivity analysis. The simulation results can be used as a starting point to further the guidelines for the Ministry of Agriculture and Forest for BMP development on watershed-wide agricultural activities.