scholarly journals Boryeong Dam Emergency Water Diversion Facility: Ensuring Operational Flexibility and Resilient Response to Climate Change

2021 ◽  
Vol 21 (3) ◽  
pp. 11-22
Author(s):  
Gunmuk Lim ◽  
Seonhui Noh ◽  
Minwoo Son ◽  
Kwansue Jung

The Boryeong district, Chungnam western region, is well known as a chronic water-deficiency area; it is thus necessary to ensure that the operational system for the Boryeong Dam emergency facilities is sufficiently resilient to withstand the potential impacts of climate change, in particular irregular droughts with resultant low water inflows and low storage. This study was undertaken to determine the operational flexibility of the Boryeong Dam emergency diversion facilities and their ability to respond to water resources demand, even if the facilities have been operating on a simple open-close release rule, depending on dam storage levels. The precipitation and inflow in Boryeong district were forecasted according to the modelling of RCP (Representative Concentration Pathways) in combination with SSP (Shared Socio-economic Pathways) scenarios. This has led to recommendations for the flexible operation of the Dam’s diversion facilities in order to ensure a stable water supply based especially on SSP1-2.6 and SSP5-8.5; i.e., steady growth and dramatic growth scenarios were simulated. The result from these two scenarios was an average diversion rate of 39,600 m<sup>3</sup>/day and 39,900 m<sup>3</sup>/day, respectively. This was evaluated as reasonable water resource use because water deficit days were fewer, and the average diversion rate was less than the RCP scenarios.

2013 ◽  
Vol 16 (4) ◽  
pp. 872-889 ◽  
Author(s):  
Chi Zhang ◽  
Xueping Zhu ◽  
Guangtao Fu ◽  
Huicheng Zhou ◽  
Hao Wang

This paper presents an assessment framework that analyses the impacts of climate change on the water diversion strategies of a water transfer project in China. A water diversion strategy consists of high and low water levels as well as related diversion flows in four operating periods: pre-flood, flood, post-flood and non-flood periods. The optimal water diversion problem is defined as a multi-objective problem with two conflicting objectives: minimising human and ecological water supply shortages, and solved by the popular non-dominated sorting genetic algorithm II (NSGA-II). The derived Pareto-optimal solutions are then evaluated using the predicted runoffs based on an ensemble of three general circulation models under three climate scenarios. Results obtained from the study catchment show that intra-annual distribution of future runoff changes. The optimal solutions on the Pareto front have greatly varying performance under a climate scenario. It is critical to reveal the different impacts of climate change on the water shortages over the four operating periods, in particular when an increase of water shortage in one period is masked by a reduction in one or more periods. This study illustrates that the framework can be used to identify resilient water diversion strategies to mitigate the potential impacts of climate change on the operation of a water transfer project.


2015 ◽  
Vol 29 (7) ◽  
pp. 1781-1795 ◽  
Author(s):  
Fen Ouyang ◽  
Yonghua Zhu ◽  
Guobin Fu ◽  
Haishen Lü ◽  
Aijing Zhang ◽  
...  

2021 ◽  
Author(s):  
Siti Nazahiyah Rahmat ◽  
Aainaa Hatin Ahmad Tarmizi ◽  
Nurul Nadrah Aqilah Tukimat

Abstract Changes in the spatial and temporal rainfall pattern affected by the climate change need to be investigated as its significant characteristics are often used for managing water resources. In this study, the impacts of climate change on rainfall variability in Johor was investigated by using General Circulation Model (GCM) on the availability of daily simulation for three representative concentration pathways (RCP) scenarios, RCP2.6, RCP4.5 and RCP8.5 for interval year of Δ2030, Δ2050 and Δ2080. In addition, the annual future rainfall trend for the first interval year of Δ2030 was also made. Daily rainfall series from eight (8) stations in Johor, Malaysia capturing 30 years period (1988-2017) with less than 10% missing data were chosen. The annual mean rainfall for RCP 2.6, 4.5 and 8.5 was predicted increase by 17.5%, 18.1% and 18.3%, respectively as compared to historical data. Moreover, the Mann-Kendall (MK) test was used to detect the trend and resulted in no trend for RCP2.6. Even so, RCP4.5 showed a significant upward trend in Muar and Kota Tinggi, and for RCP8.5, all regions were detected to have an upwards trend except for Pontian and Kluang. In general, the concentration of greenhouse gases from RCP8.5 gave the highest rainfall in future.


Hydrology ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 81
Author(s):  
Nura Boru Jilo ◽  
Bogale Gebremariam ◽  
Arus Edo Harka ◽  
Gezahegn Weldu Woldemariam ◽  
Fiseha Behulu

It is anticipated that climate change will impact sediment yield in watersheds. The purpose of this study was to investigate the impacts of climate change on sediment yield from the Logiya watershed in the lower Awash Basin, Ethiopia. Here, we used the coordinated regional climate downscaling experiment (CORDEX)-Africa data outputs of Hadley Global Environment Model 2-Earth System (HadGEM2-ES) under representative concentration pathway (RCP) scenarios (RCP4.5 and RCP8.5). Future scenarios of climate change were analyzed in two-time frames: 2020–2049 (2030s) and 2050–2079 (2060s). Both time frames were analyzed using both RCP scenarios from the baseline period (1971–2000). A Soil and Water Assessment Tool (SWAT) model was constructed to simulate the hydrological and the sedimentological responses to climate change. The model performance was calibrated and validated using the coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), and percent bias (PBIAS). The results of the calibration and the validation of the sediment yield R2, NSE, and PBIAS were 0.83, 0.79, and −23.4 and 0.85, 0.76, and −25.0, respectively. The results of downscaled precipitation, temperature, and estimated evapotranspiration increased in both emission scenarios. These climate variable increments were expected to result in intensifications in the mean annual sediment yield of 4.42% and 8.08% for RCP4.5 and 7.19% and 10.79% for RCP8.5 by the 2030s and the 2060s, respectively.


2016 ◽  
Vol 178-179 ◽  
pp. 521-534 ◽  
Author(s):  
Yuqing Zhang ◽  
Qinglong You ◽  
Changchun Chen ◽  
Jing Ge

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2718
Author(s):  
Han Zhang ◽  
Zhifeng Yang ◽  
Yanpeng Cai ◽  
Jing Qiu ◽  
Bensheng Huang

The adverse impacts of climate change and urbanization are converging to challenge the waterlogging control measures established in the Dong Hao Chong (DHC) Basin. Based on representative concentration pathway (RCP) scenarios, the future (2030–2050) waterlogging was assessed for the DHC basin and combined with future design rainfall. The delta change factors were projected using the regional climate model, RegCM4.6, and the annual maximum one-day rainstorm was modified to develop the annual maximum value method. By combining the delta change and annual maximum value methods, a future short-duration design rainstorm formula is developed in this study. The Chicago hyetograph shapes indicated that the peak rainfall intensity and amount both increase in the five return periods with two RCP scenarios. The InfoWorks ICM urban flood model is used to simulate the hydrological response. The results show that climate change will exacerbate urban waterlogging in DHC Basin. The maximum inundation volume and number of inundation nodes were expected to increase in the five return periods under the RCP4.5 and RCP8.5 scenarios, respectively. The submerged area is increasing due to climate change. This study highlights the link between climate change and urban drainage systems, and suggests that the effect of climate change in extreme rainfall should be considered in urban waterlogging management and drainage system design.


2016 ◽  
Vol 20 (4) ◽  
pp. 1331-1353 ◽  
Author(s):  
Amir K. Basheer ◽  
Haishen Lu ◽  
Abubaker Omer ◽  
Abubaker B. Ali ◽  
Abdeldime M. S. Abdelgader

Abstract. The fate of seasonal river ecosystem habitats under climate change essentially depends on the changes in annual recharge of the river, which are related to alterations in precipitation and evaporation over the river basin. Therefore, the change in climate conditions is expected to significantly affect hydrological and ecological components, particularly in fragmented ecosystems. This study aims to assess the impacts of climate change on the streamflow in the Dinder River basin (DRB) and to infer its relative possible effects on the Dinder National Park (DNP) ecosystem habitats in Sudan. Four global circulation models (GCMs) from Coupled Model Intercomparison Project Phase 5 and two statistical downscaling approaches combined with a hydrological model (SWAT – the Soil and Water Assessment Tool) were used to project the climate change conditions over the study periods 2020s, 2050s, and 2080s. The results indicated that the climate over the DRB will become warmer and wetter under most scenarios. The projected precipitation variability mainly depends on the selected GCM and downscaling approach. Moreover, the projected streamflow is quite sensitive to rainfall and temperature variation, and will likely increase in this century. In contrast to drought periods during the 1960s, 1970s, and 1980s, the predicted climate change is likely to affect ecosystems in DNP positively and promote the ecological restoration for the habitats of flora and fauna.


2015 ◽  
Vol 12 (10) ◽  
pp. 10157-10195 ◽  
Author(s):  
A. K. Basheer ◽  
H. Lu ◽  
A. Omer ◽  
A. B. Ali ◽  
A. M. S. Abdelgader

Abstract. The fate of seasonal rivers ecosystem habitats under climate change essentially depends on the changes in annual recharge, which related to alterations in precipitation and evaporation over the river basin. Therefore the change in climate conditions is expected to significantly affect hydrological and ecological components, particularly in fragmented ecosystems. This study aims to assess the impacts of climate change on the streamflow in Dinder River Basin (DRB), and infer its relative possible effects on the Dinder National Park (DNP) ecosystem habitats in the Sudan. Two global circulation models (GCMs) from Coupled Model Intercomparison Project Phase 5 and two statistical downscaling approaches combined with hydrological model (SWAT) were used to project the climate change conditions over the study periods 2020s, 2050s and 2080s. The results indicated that the climate over the DRB will become warmer and wetter under the most scenarios. The projected precipitation variability mainly depends on the selected GCM and downscaling approach. Moreover, the projected streamflow was more sensitive to rainfall and temperature variation, and will likely increase in this century. In contrast to drought periods during (1960s, 1970s and 1980s), the predicted climate change is likely to affect ecosystems in DNP positively and promote the ecological restoration of the flora and fauna habitats'.


Sign in / Sign up

Export Citation Format

Share Document