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Regional Drought Rainfall for Selangor River Basin in Malaysia Estimated Using L-Moments
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- 발행기관
- 보안공학연구지원센터(IJHIT) 바로가기
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- 간행물
- International Journal of Hybrid Information Technology 바로가기
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- 통권
- Vol.9 No.6 (2016.06)바로가기
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- 페이지
- pp.413-432
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A280347
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Water from the Selangor river basin is the main source of supply for the federal capital of Kuala Lumpur and the various districts of Selangor State located in the centre of Peninsular Malaysia since 2000. As this region is the most populated area in the country, its rapid economic development and population growth have caused concern over the adequacy of the quantity and quality of water abstracted from the Selangor basin, both at present and in the future. A recent prolonged drought has caused a one-month water rationing in the Kuala Lumpur and adjacent areas which basically has seriously affected the everyday life of the people and the industrial and agricultural sectors. A rainfall drought analysis is therefore required for assessing the severity of the drought events in the study area. In this study, L-moments have been used to compute the rainfall quantile values for 9 probabilities, 6 durations, 12 starting months for the 2 regions across the Selangor basin. The choice of the Pearson Type III and Wakeby distributions for fitting the Selangor rainfall data is presented. Quantile values are expressed as a percentage of mean rainfall of the particular duration and presented as drought indication maps. Rainfall of specific return period can be calculated easily using these maps and the mean rainfall for the particular station. The return period (severity) of a historical rainfall event from the station can be known when the magnitude of the historical event is compared with that of the rainfall event of a particular return period. This helps in monitoring and management of droughts.
목차
Abstract
1. Introduction
2. The Study Area
3. Rainfall Data
3.1. Infiiling of Missing Data
3.2. Initial Data Screening
3.3. OutlierS
3.4. Graphical Checks
4. Regional Frequency Analysis
4.1. L-Moments
4.2. L-Moment Analysis
4.3. Application of L-Moments
4.4. Diiscordancy Measure Test
4.5. Test of Regional Homogeniety
4.6. Goodness of Fit Test
4.7. Index Flood
5. Formation of Homogeneous Regions
6. Distribution Fitting
7. Quantile Estimates
8. Accuracy of the Regional Estimates
9. Conclusions
Acknowledgements
References
키워드
Drought L-Moment저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Hybrid Information Technology
- 간기
- 격월간
- pISSN
- 1738-9968
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.9 No.6
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