Comparison of Process-Driven SWAT Model and Data-Driven Machine Learning Techniques in Simulating Streamflow: A Case Study in the Fenhe River Basin
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Muhammad Shoaib & Asaad Y. Shamseldin & Sher Khan & Mudasser Muneer Khan & Zahid Mahmood Khan & Tahir Sultan & Bruce W. Melville, 2018. "A Comparative Study of Various Hybrid Wavelet Feedforward Neural Network Models for Runoff Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 83-103, January.
- Francesco Viola & X. Feng & D. Caracciolo, 2019. "Impacts of Hydrological Changes on Annual Runoff Distribution in Seasonally Dry Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2319-2333, May.
- Hadi Galavi & Majid Mirzaei, 2020. "Analyzing Uncertainty Drivers of Climate Change Impact Studies in Tropical and Arid Climates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 2097-2109, April.
- Schuol, J. & Abbaspour, K.C., 2007. "Using monthly weather statistics to generate daily data in a SWAT model application to West Africa," Ecological Modelling, Elsevier, vol. 201(3), pages 301-311.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Cole, Matthew A. & Elliott, Robert J.R. & Strobl, Eric, 2014.
"Climate Change, Hydro-Dependency, and the African Dam Boom,"
World Development, Elsevier, vol. 60(C), pages 84-98.
- Matthew Cole & Robert Elliott & Eric Strobl, 2014. "Climate Change, Hydro-dependency and the African Dam Boom," Discussion Papers 14-03, Department of Economics, University of Birmingham.
- Elodie Blanc & Eric Strobl, 2013. "The impact of climate change on cropland productivity: evidence from satellite based products at the river basin scale in Africa," Climatic Change, Springer, vol. 117(4), pages 873-890, April.
- Santosh Thampi & Kolladi Raneesh & T. Surya, 2010. "Influence of Scale on SWAT Model Calibration for Streamflow in a River Basin in the Humid Tropics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4567-4578, December.
- M. Mekonnen & A. Hoekstra & R. Becht, 2012. "Mitigating the Water Footprint of Export Cut Flowers from the Lake Naivasha Basin, Kenya," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3725-3742, October.
- Elbeltagi, Ahmed & Srivastava, Aman & Deng, Jinsong & Li, Zhibin & Raza, Ali & Khadke, Leena & Yu, Zhoulu & El-Rawy, Mustafa, 2023. "Forecasting vapor pressure deficit for agricultural water management using machine learning in semi-arid environments," Agricultural Water Management, Elsevier, vol. 283(C).
- Saleh A Wasimi & Nahlah Abbas & Nadhir Al Ansari, 2018. "Climate Change Adaptation Considerations for Agriculture for North-East Iraq," Current Investigations in Agriculture and Current Research, Lupine Publishers, LLC, vol. 2(4), pages 236-242, May.
- Aouissi, Jalel & Benabdallah, Sihem & Lili Chabaâne, Zohra & Cudennec, Christophe, 2016. "Evaluation of potential evapotranspiration assessment methods for hydrological modelling with SWAT—Application in data-scarce rural Tunisia," Agricultural Water Management, Elsevier, vol. 174(C), pages 39-51.
- Tarate Suryakant Bajirao & Pravendra Kumar & Manish Kumar & Ahmed Elbeltagi & Alban Kuriqi, 2021. "Superiority of Hybrid Soft Computing Models in Daily Suspended Sediment Estimation in Highly Dynamic Rivers," Sustainability, MDPI, vol. 13(2), pages 1-29, January.
- Muhammad Shoaib & Asaad Y. Shamseldin & Sher Khan & Muhammad Sultan & Fiaz Ahmad & Tahir Sultan & Zakir Hussain Dahri & Irfan Ali, 2019. "Input Selection of Wavelet-Coupled Neural Network Models for Rainfall-Runoff Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 955-973, February.
- Vincent Simonin & Saeid Ashraf Vaghefi & Zeinab M. Abdelgadir & Dalya Eltayeb & Mohammed Ahmed M. Sidahmed & Jean-Pierre Monet & Nicolas Ray, 2023. "Present and Future Drinking Water Security and Its Impacts on Maternities: A Multi-Scale Assessment of Sudan," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
- repec:ipg:wpaper:2014-454 is not listed on IDEAS
- Elodie Blanc & Eric Strobl, 2014.
"Is Small Better? A Comparison of the Effect of Large and Small Dams on Cropland Productivity in South Africa,"
The World Bank Economic Review, World Bank, vol. 28(3), pages 545-576.
- Blanc, Elodie & Strobl, Eric, 2013. "Is small better ? a comparison of the effect of large and small dams on cropland productivity in South Africa," Policy Research Working Paper Series 6567, The World Bank.
- Elodie Blanc & Eric Strobl, 2013. "Is small better? A comparison of the effect of large and small dams on cropland productivity in South Africa," Working Papers 2013-10, Department of Research, Ipag Business School.
- Yu, Dan & Xie, Ping & Dong, Xiaohua & Su, Bob & Hu, Xiaonong & Wang, Kai & Xu, Shijin, 2018. "The development of land use planning scenarios based on land suitability and its influences on eco-hydrological responses in the upstream of the Huaihe River basin," Ecological Modelling, Elsevier, vol. 373(C), pages 53-67.
- Reyhaneh Rahimi & Hassan Tavakol-Davani & Mohsen Nasseri, 2021. "An Uncertainty-Based Regional Comparative Analysis on the Performance of Different Bias Correction Methods in Statistical Downscaling of Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2503-2518, June.
- Abdouramane Gado Djibo & Harouna Karambiri & Ousmane Seidou & Ketevera Sittichok & Jean Paturel & Hadiza Saley, 2015. "Statistical seasonal streamflow forecasting using probabilistic approach over West African Sahel," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 699-722, November.
- Majid Mirzaei & Haoxuan Yu & Adnan Dehghani & Hadi Galavi & Vahid Shokri & Sahar Mohsenzadeh Karimi & Mehdi Sookhak, 2021. "A Novel Stacked Long Short-Term Memory Approach of Deep Learning for Streamflow Simulation," Sustainability, MDPI, vol. 13(23), pages 1-16, December.
- Huang, Feng & Li, Baoguo, 2010. "Assessing grain crop water productivity of China using a hydro-model-coupled-statistics approach: Part I: Method development and validation," Agricultural Water Management, Elsevier, vol. 97(7), pages 1077-1092, July.
- Lanie A. Alejo & Arlen S. Alejandro, 2022. "Changes in Irrigation Planning and Development Parameters Due to Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1711-1726, March.
- Kun Xie & Jong-Suk Kim & Linjuan Hu & Hua Chen & Chong-Yu Xu & Jung Hwan Lee & Jie Chen & Sun-Kwon Yoon & Di Zhu & Shaobo Zhang & Yang Liu, 2023. "Intelligent Scheduling of Urban Drainage Systems: Effective Local Adaptation Strategies for Increased Climate Variability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 91-111, January.
- Shuai Li & Tao Du & Christopher James Gippel, 2022. "A Modified Fu (1981) Equation with a Time-varying Parameter that Improves Estimates of Inter-annual Variability in Catchment Water Balance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1645-1659, March.
- Yan Liu & Ting Zhang & Aiqing Kang & Jianzhu Li & Xiaohui Lei, 2021. "Research on Runoff Simulations Using Deep-Learning Methods," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
More about this item
Keywords
SWAT; machine learning techniques; integrated modeling approach; rainfall runoff simulation;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6074-:d:1436354. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.