SavedAdd your journal

Journals / International Journal of Environment and Geoinformatics / 2021 / Cilt: 8 - Sayı: 2

Analyzing Effects of Two Different Land Use Datasets on Hydrological Simulations by Using SWAT Model

Dursun Zafer SEKER
Izzet OZTURK
Aysegul TANIK
Gokhan CUCEOĞLU
Pages
172–185
Publication Date
2022-10-19
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Despite the coarser land-use classification in Landsat data, it enabled the detection of different LULC classification with higher spatial resolution, and thus, different model outputs were achieved especially in the urbanized sub-basins.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Land use/cover (LULC) dataset can be addressed as one of the significant factors governing watershed hydrology.
📊
Key Findings & Data:Omerli Basin that covers one of the important drinking water reservoirs of Istanbul with a drainage area of 621 km2 is selected as the study area.
💡
Conclusion & Impact:Despite the coarser land-use classification in Landsat data, it enabled the detection of different LULC classification with higher spatial resolution, and thus, different model outputs were achieved especially in the urbanized sub-basins.
🔬Design:Modeling & Simulation
📍Scope:2006 Verileri
⚙️Variables:Landsat ETM · LULC dataset · Omerli Basin

Abstract

Land use/cover (LULC) dataset can be addressed as one of the significant factors governing watershed hydrology. Thus, there is a necessity for using appropriate LULC data especially while working on the hydrology of sensitive watersheds from which drinking water is provided. The aim of this study is to analyze the effect of using two different LULC datasets on the hydrological components of a basin in Turkey. Omerli Basin that covers one of the important drinking water reservoirs of Istanbul with a drainage area of 621 km2 is selected as the study area. The Soil and Water Assessment Tool (SWAT), a physically-based hydrological and public domain model, is used as the hydrological model to evaluate the water budget of the basin. SWAT model is calibrated with an automatic calibration and uncertainty analysis program (SWAT-CUP) by using SUFI-2 algorithm. Model setup is conducted for two different LULC datasets which are CORINE obtained for year 2006, and LULC data produced from 2006 dated Landsat satellite image. This pioneer study evaluates and compares the impact of CORINE and Landsat LULC datasets used in hydrological modeling by using SWAT model at sub-basin level. It revealed that different LULC datasets yielded quite similar results in terms of surface water runoff and actual evapotranspiration in the Omerli Basin; however, different spatial distribution was observed especially in urbanized sub-basins. Despite the coarser land-use classification in Landsat data, it enabled the detection of different LULC classification with higher spatial resolution, and thus, different model outputs were achieved especially in the urbanized sub-basins.

🔖

Cite This Article

SEKER, D. Z., OZTURK, I., TANIK, A., CUCEOĞLU, G. (2022). Analyzing Effects of Two Different Land Use Datasets on Hydrological Simulations by Using SWAT Model. International Journal of Environment and Geoinformatics, Cilt: 8 - Sayı: 2, 172–185. https://ajindex.com/articles/540913

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Abbaspour, K. C., Johnson, C. A., & van Genuchten, M. T. (2004). Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zone Journal. 3(4): 1340–1352
  2. Abbaspour, K. C., Rouholahnejad, E., Vaghefi, S., Srinivasan, R., Yang, H., & Kløve, B. (2015). A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model. Journal of Hydrology, 524, 733–752.
  3. Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., … Srinivasan, R. (2007). Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. Journal of Hydrology, 333(2–4), 413–430.
  4. Ahn, S. R., Park, J. Y., Lee, J. W., Lee, M. S., Shin, H. J., & Kim, S. J. (2016). Comparison of SWAT streamflow and water quality in an agricultural watershed using KOMPSAT-2 and Landsat land use information. KSCE Journal of Civil Engineering. 20, 367–375
  5. Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., … Jha, M. K. (2012). Swat: Model Use, Calibration, and Validation. Asabe, 55(4), 1491–1508.
  6. Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998). Large area hydrologic modeling and assessment part I: Model development. Journal of the American Water Resources Association, 34(1), 73–89.
  7. Ashraf Vaghefi, S., Mousavi, S. J., Abbaspour, K. C., Srinivasan, R., & Arnold, J. R. (2013). Integration of hydrologic and water allocation models in basin-scale water resources management considering crop pattern and climate change: Karkheh River Basin in Iran. Regional Environmental Change, 15(3), 475–484.
  8. Baker, T. J., & Miller, S. N. (2013). Using the Soil and Water Assessment Tool (SWAT) to assess land use impact on water resources in an East African watershed. Journal of Hydrology, 486, 100–111.
  9. Bieger, K., Hörmann, G., & Fohrer, N. (2013). The impact of land use change in the Xiangxi Catchment (China) on water balance and sediment transport. Regional Environmental Change, 15(3), 485–498.
  10. Branger, F., Kermadi, S., Jacqueminet, C., Michel, K., Labbas, M., Krause, P., … Braud, I. (2013). Assessment of the influence of land use data on the water balance components of a peri-urban catchment using a distributed modelling approach. Journal of Hydrology. 505, 312-325
  11. Brown, A. E., Zhang, L., McMahon, T. A., Western, A. W., & Vertessy, R. A. (2005). A review of paired catchment studies for determining changes in wate