In dry and semi-dry climate, Artificial Groundwater Recharge Structures are used for flood control and managed aquifer recharge. These damps basin runoff response decrease the maximum flows and increase the runoff duration through wet seasons. In this study, a framework to quantify the role of AGWRS in headwater tributaries on the total water balance of major basin and alteration of flow pattern in the main river has been presented. The study contains four main subroutines: rainfall-runoff model, reservoir flood routing, river analysis system and seepage analysis. The flood hydrographs with different return periods are estimated based on the climatic data and the characteristics of headwater basin. River flow analysis below the structure is carried out for two unsteady flow scenarios, first with the hydrographs of the natural system (as pre-impact: quick flood with significant peak flow) and second the altered flow hydrographs due to detention process in the reservoir (as post-impact: damped flood lower peak with longer duration time). Two sets of dynamic water surface along the river (from the location of detention structure (x=0) to the confluence point with the main river (x=L) are developed based on two hydrologic conditions as results of river analysis system. The results of framework define the impact of flood detention structure by comparing the timing, magnitude, and variability of flow. The Kamal Abad artificial groundwater recharge in Mahrlou Lake basin in Southern Iran was selected as case study to demonstrate the application of the created framework. Through the probability analysis, the return period for hydrological drought has been compared to the pre-impact and post-impact condition. The results clearly showed how embankments influence floods in tributaries and in some cases the flow reduced significantly and disappear in tributaries.
| Identifer | oai:union.ndltd.org:oulo.fi/oai:oulu.fi:nbnfioulu-201709062799 |
| Date | 06 September 2017 |
| Creators | Yaraghi, N. (Navid) |
| Publisher | University of Oulu |
| Source Sets | University of Oulu |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis, info:eu-repo/semantics/publishedVersion |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess, © Navid Yaraghi, 2017 |
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