Different Effect of Cloud Seeding on Three Dam Basins, Korea
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...
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MDPI AG
2023-07-01
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author | Jeong-Hyeok Ma Chulsang Yoo Sung-Uk Song Wooyoung Na Eunsaem Cho Sang-Keun Song Ki-Ho Chang |
author_facet | Jeong-Hyeok Ma Chulsang Yoo Sung-Uk Song Wooyoung Na Eunsaem Cho Sang-Keun Song Ki-Ho Chang |
author_sort | Jeong-Hyeok Ma |
collection | DOAJ |
description | 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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language | English |
last_indexed | 2024-03-11T00:33:01Z |
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spelling | doaj.art-268d4c797c404754b96962b6db2e51862023-11-18T21:47:00ZengMDPI AGWater2073-44412023-07-011514255510.3390/w15142555Different Effect of Cloud Seeding on Three Dam Basins, KoreaJeong-Hyeok Ma0Chulsang Yoo1Sung-Uk Song2Wooyoung Na3Eunsaem Cho4Sang-Keun Song5Ki-Ho Chang6School of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, Republic of KoreaSchool of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, Republic of KoreaSchool of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, Republic of KoreaDepartment of Civil Engineering, Dong-A University, Busan 49315, Republic of KoreaDepartment of Civil and Environmental Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32310, USADepartment of Earth and Marine Sciences, Jeju National University, Jeju 63243, Republic of KoreaConvergence Meteorological Research Department, National Institute of Meteorological Sciences, Jeju 63568, Republic of KoreaThis 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.https://www.mdpi.com/2073-4441/15/14/2555cloud seedingrainfall–runoff analysiswater securementwater supply |
spellingShingle | Jeong-Hyeok Ma Chulsang Yoo Sung-Uk Song Wooyoung Na Eunsaem Cho Sang-Keun Song Ki-Ho Chang Different Effect of Cloud Seeding on Three Dam Basins, Korea Water cloud seeding rainfall–runoff analysis water securement water supply |
title | Different Effect of Cloud Seeding on Three Dam Basins, Korea |
title_full | Different Effect of Cloud Seeding on Three Dam Basins, Korea |
title_fullStr | Different Effect of Cloud Seeding on Three Dam Basins, Korea |
title_full_unstemmed | Different Effect of Cloud Seeding on Three Dam Basins, Korea |
title_short | Different Effect of Cloud Seeding on Three Dam Basins, Korea |
title_sort | different effect of cloud seeding on three dam basins korea |
topic | cloud seeding rainfall–runoff analysis water securement water supply |
url | https://www.mdpi.com/2073-4441/15/14/2555 |
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