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

被引：2

作者：

Avci, B. C. ^{[1
]}

Kesgin, E. ^{[2
]}

Atam, M. ^{[1
]}

Tan, R., I ^{[3
]}

机构：

[1] Bogazici Univ, Dept Civil Engn, TR-34342 Istanbul, Turkey

[2] Istanbul Tech Univ, Dept Civil Engn, TR-34469 Istanbul, Turkey

[3] Fatih Sultan Mehmet Vakif Univ, Dept Civil Engn, TR-34210 Istanbul, Turkey

来源：

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY | 2023年 / 20卷 / 05期

关键词：

SWAT; Nitrate; BMP; Surface water quality; Fertilizer; SWAT MODEL; SENSITIVITY-ANALYSIS; RIVER-BASIN; UNCERTAINTY; CALIBRATION; SOIL; TOOL; HYDROLOGY; SUFI-2;

D O I：

10.1007/s13762-022-04477-1

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页码：5265 / 5280

页数：16

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