Assessing hydrological modeling approaches: a review of the soil conservation service curve number and the soil and water assessment tool
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This article reviews two hydrological modeling tools, the Soil Conservation Service Curve Number (SCS-CN) model and the Soil and Water Assessment Tool (SWAT), and the Analytic Hierarchy Process (AHP) method used for estimating surface runoff and evaluating the impacts of land use changes on watershed responses. The SCS-CN model has been widely used for estimating surface runoff from rainfall, and its integration with GIS and remote sensing has improved its accuracy and precision. The SWAT model has also been effective in assessing the impact of land cover and land use changes on hydrologic response. The AHP method has been used to suggest the best locations for rainfall water harvesting in arid regions. However, these models also have limitations that should be considered when applying them to different watersheds. Proper calibration and validation of the models' input parameters are crucial to ensure accurate results, and the models' performance can be affected by uncertainties in the input data and model parameterization. Despite these limitations, these tools remain useful for evaluating surface runoff and its impact on water resource management, flood control, erosion prevention, and sustainable land and water management practices. In conclusion, the SCS-CN model, SWAT model, and AHP method are important approaches to evaluate surface runoff and its impacts, but their limitations and suitability for different watersheds should be carefully considered.
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Adham, A., Riksen, M., Ouessar, M., & Ritsema, C. J. (2016). A methodology to assess and evaluate rainwater harvesting techniques in (semi-) arid regions. Water, 8(5), 198. https://doi.org/10.3390/w8050198
Al-Abadi, A. M., Shahid, S., Ghalib, H. B., & Handhal, A. M. (2017). A GIS-based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in Northeastern Maysan Governorate, Iraq. Arabian Journal for Science and Engineering, 42(6), 2487–2499. https://doi.org/10.1007/s13369-017-2487-1
Al-shabeeb, A. R. (2016). The use of AHP within GIS in selecting potential sites for water harvesting sites in the Azraq Basin—Jordan. Journal of Geographic Information System, 8(1), 73–88. https://doi.org/10.4236/jgis.2016.81008
Ang, R., & Oeurng, C. (2018). Simulating streamflow in an ungauged catchment of Tonlesap Lake Basin in Cambodia using soil and water assessment tool (SWAT) model. Water Science, 32(1), 89–101. https://doi.org/10.1016/j.wsj.2017.12.002
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. https://doi.org/10.1016/j.jhydrol.2013.01.041
Bal, M., Dandpat, A. K., & Naik, B. (2021). Hydrological modeling with respect to impact of land-use and land-cover change on the runoff dynamics in Budhabalanga River basing using ArcGIS and SWAT model. Remote Sensing Applications: Society and Environment, 23, 100527. https://doi.org/10.1016/j.rsase.2021.100527
Balkhair, K. S., & Ur Rahman, K. (2021). Development and assessment of rainwater harvesting suitability map using analytical hierarchy process, GIS and RS techniques. Geocarto International, 36(4), 421–448. https://doi.org/10.1080/10106049.2019.1608591
Basu, A. S., Gill, L. W., Pilla, F., & Basu, B. (2022). Assessment of variations in runoff due to landcover changes using the SWAT Model in an Urban River in Dublin, Ireland. Sustainability, 14(1), 534. https://doi.org/10.3390/su14010534
Demir, V., & Keskin, A. Ü. (2022). Flood flow calculation and flood modeling in rivers that do not have enough flow measurement (Samsun, Mert River sample). Journal of Geomatics, 7(2), 149–162. https://doi.org/10.29128/geomatik.918502
Hagras, A. (2023). Runoff modeling using SCS-CN and GIS approach in the Tayiba Valley Basin, Abu Zenima area, South-west Sinai, Egypt. Modeling Earth Systems and Environment, 1–13. https://doi.org/10.1007/s40808-023-01714-5
Huang, J.-J. (2021). Analytic hierarchy process with the correlation effect via WordNet. Mathematics, 9(8), 872. https://doi.org/10.3390/math9080872
Ibrahim, G. R. F., Rasul, A., Ali Hamid, A., Ali, Z. F., & Dewana, A. A. (2019). Suitable site selection for rainwater harvesting and storage case study using Dohuk Governorate. Water, 11(4), 864. https://doi.org/10.3390/w11040864
Iskender, I., & Sajikumar, N. (2016). Evaluation of surface runoff estimation in ungauged watersheds using SWAT and GIUH. Procedia Technology, 24, 109–115. https://doi.org/10.1016/j.protcy.2016.05.016
Karn, A. L., Lal, M., Mishra, S. K., Chaube, U. C., & Pandey, A. (2016). Evaluation of SCS-CN Inspired models and their comparison. Journal of Indian Water Resources Society, 36(3), 19–27.
Meshram, S. G., Sharma, S. K., & Tignath, S. (2017). Application of remote sensing and geographical information system for generation of runoff curve number. Applied Water Science, 7, 1773–1779. https://doi.org/10.1007/s13201-015-0350-7
Meşin, V., & Demir, V. (2023). Site selection for the technology development zone in Konya city center using geographic information systems-based analytical hierarchy method. Journal of Geomatics, 8(3), 208–221. https://doi.org/10.29128/geomatik.1161059
Rajasekhar, M., Gadhiraju, S. R., Kadam, A., & Bhagat, V. (2020). Identification of groundwater recharge-based potential rainwater harvesting sites for sustainable development of a semiarid region of southern India using geospatial, AHP, and SCS-CN approach. Arabian Journal of Geosciences, 13, 1–19. https://doi.org/10.1007/s12517-019-4996-6
Sayl, K., Adham, A., & Ritsema, C. J. (2020). A GIS-based multicriteria analysis in modeling optimum sites for rainwater harvesting. Hydrology, 7(3), 51. https://doi.org/10.3390/hydrology7030051
Soulis, K. X., & Valiantzas, J. D. (2012). SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds–the two-CN system approach. Hydrology and Earth System Sciences, 16(3), 1001–1015. https://doi.org/10.5194/hess-16-1001-2012
Suresh Babu, P., & Mishra, S. K. (2012). Improved SCS-CN–inspired model. Journal of Hydrologic Engineering, 17(11), 1164–1172. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000435
Tedela, N. H., McCutcheon, S. C., Campbell, J. L., Swank, W. T., Adams, M. B., & Rasmussen, T. C. (2012). Curve numbers for nine mountainous eastern United States watersheds: Seasonal variation and forest cutting. Journal of Hydrologic Engineering, 17(11), 1199–1203. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000437
Wang, X., & Bi, H. (2020). The effects of rainfall intensities and duration on SCS-CN model parameters under simulated rainfall. Water, 12(6), 1595. https://doi.org/10.3390/w12061595
Weng, Q. (2001). Modeling urban growth effects on surface runoff with the integration of remote sensing and GIS. Environmental Management, 28, 737–748. https://doi.org/10.1007/s002670010258
Wu, R.-S., Molina, G. L. L., & Hussain, F. (2018). Optimal sites identification for rainwater harvesting in northeastern Guatemala by analytical hierarchy process. Water Resources Management, 32, 4139–4153. https://doi.org/10.1007/s11269-018-2050-1
Yusuf, S. M., Nugroho, S. P., Effendi, H., Prayoga, G., Permadi, T., & Santoso, E. N. (2021). Surface runoff of Bekasi River subwatershed. IOP Conference Series: Earth and Environmental Science, Indonesia, 744(1), 012108. https://doi.org/10.1088/1755-1315/744/1/012108
Zlatanović, N., & Gavrić, S. (2013). Comparison of an automated and manual method for calculating storm runoff response in ungauged catchments in Serbia. Journal of Hydrology and Hydromechanics, 61(3), 195–201. https://doi.org/10.2478/johh-2013-0025