Main Article Content
The prediction of floods, which are widely recognized as one of the most devastating hazards on our planet, poses significant challenges primarily stemming from the absence of a dependable forecasting model. Following seismic events, floods rank as the costliest natural calamity in Turkey. The mitigation of existing challenges can be significantly enhanced through the utilization of flow coefficient calculations, which serve as the foremost determinant of flood flow dynamics. The extant body of literature encompasses a diverse range of methodologies for modelling flow coefficients. However, the majority of these methods depend on black-box techniques that lack transferability. The selection of the fuzzy SMRGT Method for this investigation was based on its consideration of the underlying physics of the event, making it a novel approach. The land use and slope data of the Aksu river basin were utilized. The outcomes generated by the model were compared to the empirical data. The evaluation of the model's performance encompassed various metrics, such as root mean square error, mean absolute error, mean absolute relative error, and coefficient of determination. The findings indicated that the fuzzy inference system that was proposed exhibited a high level of predictive accuracy, as evidenced by an overall coefficient of determination (R2) of 0.998.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Shang, X., Jiang, X., Jia, R., & Wei, C. (2019). Land use and climate change effects on surface runoff variations in the upper Heihe River basin. Water, 11(2), 344. https://doi.org/10.3390/w11020344
Desta, Y., Goitom, H., & Aregay, G. (2019). Investigation of runoff response to land use/land cover change on the case of Aynalem catchment, North of Ethiopia. Journal of African Earth Sciences, 153, 130-143. https://doi.org/10.1016/j.jafrearsci.2019.02.025
Xu, D., Lyon, S. W., Mao, J., Dai, H., & Jarsjö, J. (2020). Impacts of multi-purpose reservoir construction, land-use change and climate change on runoff characteristics in the Poyang Lake basin, China. Journal of Hydrology: Regional Studies, 29, 100694. https://doi.org/10.1016/j.ejrh.2020.100694
He, Y., Lin, K., & Chen, X. (2013). Effect of land use and climate change on runoff in the Dongjiang Basin of South China. Mathematical Problems in Engineering, 471429. https://doi.org/10.1155/2013/471429
Liu, Z., Yao, Z., Huang, H., Wu, S., & Liu, G. (2014). Land use and climate changes and their impacts on runoff in the Yarlung Zangbo river basin, China. Land Degradation & Development, 25(3), 203-215. https://doi.org/10.1002/ldr.1159
Sajikumar, N., & Remya, R. S. (2015). Impact of land cover and land use change on runoff characteristics. Journal of environmental management, 161, 460-468. https://doi.org/10.1016/j.jenvman.2014.12.041
Shrestha, S., Bhatta, B., Shrestha, M., & Shrestha, P. K. (2018). Integrated assessment of the climate and landuse change impact on hydrology and water quality in the Songkhram River Basin, Thailand. Science of the Total Environment, 643, 1610-1622. https://doi.org/10.1016/j.scitotenv.2018.06.306
Pandey, A., Chowdary, V. M., Mal, B. C., & Dabral, P. P. (2003). Estimation of runoff for agricultural watershed using SCS Curve Number and Geographic Information System. Map India Conference.
Toprak, Z. F. (2009). Flow discharge modeling in open canals using a new fuzzy modeling technique (SMRGT). CLEAN–Soil, Air, Water, 37(9), 742-752. https://doi.org/10.1002/clen.200900146
Kim, J. W., Kim, B. M., & Kim, J. Y. (1998). Genetic algorithm simulation approach to determine membership functions of fuzzy traffic controller. Electronics Letters, 34(20), 1982-1983. https://doi.org/10.1049/el:19981369
Rutkowska, D. (1998). On generating fuzzy rules by an evolutionary approach. Cybernetics & Systems, 29(4), 391-407. https://doi.org/10.1080/019697298125669
Jin, Y., & Sendhoff, B. (2003). Extracting interpretable fuzzy rules from RBF networks. Neural Processing Letters, 17, 149-164. https://doi.org/10.1023/A:1023642126478
Simon, D. (2002). Sum normal optimization of fuzzy membership functions. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10(4), 363-384. https://doi.org/10.1142/S0218488502001533
Gunal, A. Y., & Mehdi, R. (2022). The study of land use and slope role in flow coefficient determination. Advanced Engineering Days (AED), 4, 64-66.