Remote Sensing Supported SWAT Water Budget Analysis for Çınar (Diyarbakır, Türkiye): Flood Risk and Sustainable Watershed Management

DOI

10.2991/978-94-6239-668-5_64How to use a DOI?

Keywords

Remote Sensing; Remote SWAT; Sustainable Water Budget

Abstract

This contribution synthesizes a SWAT (Soil and Water Assessment Tool) application for the semi-arid Çınar district (Diyarbakır, Türkiye), where remote-sensing-supported inputs are used to interpret water-balance components in relation to flood risk and sustainable watershed management. The model integrates SRTM-based DEM, supervised land-use/land-cover classification, FAO soil maps, and daily NASA POWER meteorological data, and is calibrated and validated for streamflow and basin water budget using PBIAS, NSE, and RSR within satisfactory–good ranges. The simulated water balance indicates mean annual precipitation of ~601.2 mm, with ~301.4 mm returning to the atmosphere as actual evapotranspiration versus PET of ~985.3 mm, confirming a water-limited regime. Surface runoff (~117.4 mm; 19.5% of rainfall), lateral flow (~18.1 mm; 3.0%), and baseflow (~102.6 mm; 17.1%) together account for ~39.6% of precipitation, while percolation to the shallow aquifer (~114.28 mm; 19.0%) dominates groundwater processes. An average CN of ~78.85, combined with nearly 20% of rainfall becoming quick runoff, signals rapid hydrograph response to intense storms and associated flash-flood potential. These outcomes support conservation agriculture and nature-based solutions—such as infiltration-enhancing practices on croplands, hillslope measures, riparian-buffer rehabilitation, and low-impact development—to reduce CN, enhance infiltration, sustain baseflow, and mitigate flood peaks within an integrated watershed-management framework for Çınar.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Recep Çelik
AU  - Yunus Emre Çolak
PY  - 2026
DA  - 2026/05/14
TI  - Remote Sensing Supported SWAT Water Budget Analysis for Çınar (Diyarbakır, Türkiye): Flood Risk and Sustainable Watershed Management
BT  - Proceedings of the International Conference on Current Problems in Engineering and Applied Sciences (ICCPEAS 2025)
PB  - Atlantis Press
SP  - 619
EP  - 626
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-668-5_64
DO  - 10.2991/978-94-6239-668-5_64
ID  - Çelik2026
ER  -