Evaluation of Dam Water-Supply Capacity in Korea Using the Water-Shortage Index

Yoo, Chulsang; Jun, Changhyun; Zhu, Jiang; Na, Wooyoung

doi:10.3390/w13070956

Cited by 7 publications

(4 citation statements)

References 41 publications

(24 reference statements)

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“…Additionally, the above simulation and evaluation were repeated, but with the initial condition of dam storage, simply 50% of effective storage capacity (Figure 11). This 50% is a normal level in Boryeong Dam and Yongdam Dam, but is somewhat lower in Namgang Dam [57]. First, no water shortage occurred in Boryeong Dam, just as in the previous case.…”

Section: Reservoir Operation With Scenario-based Rainfallmentioning

confidence: 55%

Different Effect of Cloud Seeding on Three Dam Basins, Korea

Yoo

Song

et al. 2023

Water

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This study shows that cloud seeding should be planned by considering the dam reservoir characteristics as well as the dam basin characteristics. First, the collection efficiency of increased rainfall by cloud seeding is compared for three dam basins (Boryeong Dam, Yongdam Dam, and Namgang Dam basins) located in the western part of the Korean Peninsula. Second, the additional runoff volumes in those three basins from cloud seeding are compared with each other. Finally, the change in water supply capacity is evaluated by considering the dam reservoir operation and planned water supply. In this study, cloud seeding is simulated using the WRF−ARW model, and, additionally, four different rainfall data generated by considering the scenarios of a rainfall increase of 5, 10, 15, and 20% are used for more practical evaluation. The results in this study show that the situation in Boryeong Dam basin is better than in the other two dam basins. More active cloud seeding is necessary in the Yongdam Dam and Namgang Dam basins. However, it has also been found that cloud seeding alone cannot solve the water supply problems in those two dam basins. The above findings also indicate that cloud seeding should be carefully planned. It can vary dam-by-dam. Cloud seeding might be effective every season in one dam, but only in Spring in another dam basin, while in other dams, summer or fall season might be the best option. The target increase of rainfall is also an important issue. Just a mild increase could be better in one dam, but it can be important to secure much more rainfall in other dams. Even though the three dams considered in this study are located in practically the same climatic zone, the conditions required for cloud seeding differ completely.

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Section: Reservoir Operation With Scenario-based Rainfallmentioning

confidence: 55%

Different Effect of Cloud Seeding on Three Dam Basins, Korea

Yoo

Song

et al. 2023

Water

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“…Currently, the quantification of this relationship employs either single or comprehensive indicators. When focusing on single indicators, researchers often construct evaluation metrics based on the contrast between water supply and demand, with commonly employed measures such as water shortage index [9], water stress index [10], water use efficiency [11,12], and others. However, these single indicators reflect only one aspect of the complex relationship.…”

Section: Introductionmentioning

confidence: 99%

“…Building upon this framework, Zuo et al [18] determined the harmonious balance constraint and regulation by quantifying the equilibrium state of the human-water relationship of six criteria in 43 countries along the Belt and Road. Duan et al [19] constructed a human-water-nexus-based evaluation system, in which 13 indicators of 8 sustainable development goals (i.e., SDGs 2,6,8,9,11,12,13,and 17) associated with water, society, and ecology criteria were analyzed. These studies evaluate human-water relationship by examining specific factors related to water resources within human systems, including water quantify, water quality, water use structure, and the dynamic balance between supply and demand.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Human–Water Relationship over the Past Two Decades Using the SMI-P Method across Nine Provinces along the Yellow River, China

Liu,

He,

Zuo

2024

Water

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The foundation for ensuring the sustainable utilization of natural resources and human well-being lies in achieving a harmonious balance between nature and humans. In the Yellow River basin (YRB), numerous water crises, including floods, droughts, soil erosion, and water pollution, threaten its crucial role as a significant economic belt and ecological barrier. Unfortunately, less comprehension regarding the complex human–water relationship in this region has impeded watershed water management decision-makers from identifying key priorities for intervention. Here, we selected 29 evaluation indicators, including water resources, environment, ecology, society, economy, and science and technology from three dimensions: healthy water systems, sustainable human systems, and synergy of human–water system. We applied the entropy weight method, hierarchical analysis, and Single index quantification, multiple index synthesis, and poly-criteria integration (SMI-P) methods to quantify the spatial–temporal variation of the human–water harmony degree (HWHD) in nine provinces of the YRB from 2002 to 2021. We observed a consistent increase in the HWHD across all provinces in the YRB in the past two decades. Notably, five provinces have transitioned from Complete disharmony (0 ≤ HWHD ≤ 0.2) to Nearly complete disharmony (0.2 < HWHD ≤ 0.4). Additionally, the average growth rate of the downstream provinces is faster compared to those upstream. By 2021, the HWHD of upstream provinces like Sichuan and Ningxia, constrained by slower growth, became the two lowest provinces of the YRB, at 0.19 and 0.12 respectively. These findings offer valuable guidance for the region and similar areas grappling with the complex challenges of human–water conflicts, providing insights to navigate and address such dilemmas effectively.

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“…In South Korea, reservoir operation for mitigating CyanoHABs has primarily focused on flow control flushing water from a reservoir to a river downstream [22,23]. However, the use of water in reservoirs for improving water quality has not been generally factored into the design of reservoirs in South Korea [24][25][26]. Hence, the flow control using an additional amount of water has been only temporarily taken in order to mitigate CyanoHABs [22], since this flow control can cause water shortage.…”

Section: Introductionmentioning

confidence: 99%

Decision Support Framework for Optimal Reservoir Operation to Mitigate Cyanobacterial Blooms in Rivers

Kim,

Jonoski,

Solomatine

et al. 2023

Sustainability

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Flow control flushing water from reservoirs has been imposed in South Korea for mitigating harmful cyanobacterial blooms (CyanoHABs) in rivers. This measure, however, can cause water shortage in reservoirs, as the measure adopting this flow control may require an additional amount of water which exceeds the water demand allocated to the reservoirs. In terms of sustainability, a trade-off between improving water quality and alleviating water shortage needs to be considered. This study aimed at establishing a practical framework for a decision support system for optimal joint operation of the upstream reservoirs (Andong and Imha) to reduce the frequency of CyanoHABs in the Nakdong River, South Korea. Methodologically, three models were introduced: (1) a machine learning model (accuracy 88%) based on the k-NN (k-Nearest Neighbor) algorithm to predict the occurrence of CyanoHABs at a selected downstream location (the Chilgok Weir located approximately 140 km downstream from the Andong Dam), (2) a multiobjective optimization model employing NSGA-II (Nondominated Sorting Genetic Algorithm II) to determine both the quantity and quality of water released from the reservoirs, and (3) a river water quality model (R2 0.79) using HEC-RAS to simulate the water quality parameter at Chilgok Weir according to given upstream boundary conditions. The applicability of the framework was demonstrated by simulation results using observational data from 2015 to 2019. The simulation results based on the framework confirmed that the frequency of CyanoHABs would be decreased compared with the number of days when CyanoHABs were observed at Chilgok Weir. This framework, with a combination of several models, is a novelty in terms of efficiency, and it can be a part of a solution to the problem of CyanoHABs without using an additional amount of water from a reservoir.

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Evaluation of Dam Water-Supply Capacity in Korea Using the Water-Shortage Index

Cited by 7 publications

References 41 publications

Different Effect of Cloud Seeding on Three Dam Basins, Korea

Different Effect of Cloud Seeding on Three Dam Basins, Korea

Evaluating the Human–Water Relationship over the Past Two Decades Using the SMI-P Method across Nine Provinces along the Yellow River, China

Decision Support Framework for Optimal Reservoir Operation to Mitigate Cyanobacterial Blooms in Rivers

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