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DC Field | Value | Language |
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dc.contributor.advisor | Hassini, Sonia | - |
dc.contributor.advisor | Coulibaly, Paulin | - |
dc.contributor.author | Elgendy, Mohamed Refaat | - |
dc.date.accessioned | 2025-07-04T19:57:05Z | - |
dc.date.available | 2025-07-04T19:57:05Z | - |
dc.date.issued | 2025 | - |
dc.identifier.uri | http://hdl.handle.net/11375/31905 | - |
dc.description.abstract | Climate Change (CC) and Land Use and Cover Change (LUCC) may significantly impact water management by exacerbating drought and flood issues. Studying their combined impacts on streamflow in large, regulated basins with limited data remains challenging. This thesis addresses this gap through four objectives. Firstly, a comprehensive literature review on CC adaptation strategies in water management was conducted to investigate their categories, applications, modelling techniques, limitations, and related research gaps. It promoted strategies, such as updating dam operations and Low Impact Development (LID). It highlighted the need to study CC and LUCC combined impacts and incorporate environmental, economic, and social aspects into adaptation strategy assessments. Secondly, to address the scarcity of short-interval streamflow data for hydrologic model calibrations, eight monthly-to-daily streamflow disaggregation methods were assessed at 21 sites in the Nile River Basin (NRB). Interpolation methods excelled, with the 3rd-order mean-preserving method performing best. However, further improvements are needed to better capture daily flow fluctuations. Thirdly, to facilitate hydrologic model development in the NRB, a sensitivity analysis was performed, and five multi-site calibration approaches were tested. It was found that 21 parameters, with soil parameters top-ranked, are significant, and tuning natural subbasin parameters separately from dam regulations improved calibration results. Lastly, the combined impacts of LUCC and CC on streamflow volumes, extremes, and seasonality in the NRB were assessed using naturalized and regulated hydrologic model schemes. CC was simulated using bias-corrected CMIP6 climate models, while LUCC was simulated based on historic trends. Impacts of CC scenarios suggest a range of streamflow changes where their ensemble mean suggests streamflow increases of 8–26% and 7–41% by mid- (and end-of-) century across the NRB. However, the effects of LUCC suggest reductions in streamflow, relatively lessening the CC impact, depending on the CC scenario considered. Accordingly, adaptation strategies should be planned, accounting for such uncertainties. | en_US |
dc.language.iso | en | en_US |
dc.subject | Climate Change | en_US |
dc.subject | Adaptation Strategies | en_US |
dc.subject | Water Resources Management | en_US |
dc.subject | Bibliometric Analysis | en_US |
dc.subject | Modelling Techniques | en_US |
dc.subject | Nile River Basin | en_US |
dc.subject | Streamflow Disaggregation | en_US |
dc.subject | Data Processing | en_US |
dc.subject | Hydrology | en_US |
dc.subject | HBV Hydrologic Model | en_US |
dc.subject | Raven Framework | en_US |
dc.subject | Parameter Sensitivity Analysis | en_US |
dc.subject | Multi-site Calibration | en_US |
dc.subject | Land Use and Cover Change | en_US |
dc.subject | Uncertainty | en_US |
dc.title | Combined Impacts of Land Use and Cover Change and Climate Change on Streamflow in Large Basins | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Civil Engineering | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Doctor of Philosophy (PhD) | en_US |
dc.description.layabstract | Climate change (CC) and land use and cover change (LUCC) may have serious effects on river flow, potentially leading to more frequent and severe floods or droughts. Therefore, it is crucial to study these effects, particularly in large complex watersheds, where data is generally limited. This research aims to evaluate the impacts of CC and LUCC on streamflow amounts and patterns in the Nile River Basin (NRB), through four major steps. It began with 1) a comprehensive literature review of strategies developed to adapt the water management sector to climate change. This review highlights the most featured strategies, such as adjusting dam operations and using nature-based solutions and encourages future research to study the combined impacts of CC and LUCC and more comprehensively evaluate adaptation strategies. Next, due to the shortage of daily flow data needed to build hydrologic models, 2) various statistical methods that produce daily flow from monthly records were assessed. Strengths and weaknesses of each method were identified, promoting an interpolation method for use in the NRB. Then, to build a reliable hydrologic model, 3) a sensitivity analysis was performed to identify this model’s important parameters, while different model calibration approaches were evaluated, accounting for dam operations and limited data in the NRB. Results underscore soil-related parameters as most significant and suggest calibrating unregulated areas separately from regulated ones to improve model accuracy. Finally, 4) the effects of CC and LUCC on streamflow in the NRB were assessed using recent climate models and land use and cover maps. Results reveal possible streamflow increases or declines based on climate models and simulated greenhouse gas emissions, suggesting overall increases in streamflow amounts and extremes. Meanwhile, LUCC would reduce streamflow, partially offsetting the CC effect. These findings provide valuable insights to guide sustainable and adaptive water management strategies in the NRB. | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Elgendy_Mohamed_R_July2025_PhD.pdf | 7.4 MB | Adobe PDF | View/Open |
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