Drought assessment in Cai River basin, Vietnam

A comparison with regard to SPI, SPEI, SSI, and SIDI

Luong Bang Nguyen, Qiong Fang Li, Trieu Ann Ngoc, Kazuaki Hiramatsu

研究成果: ジャーナルへの寄稿記事

1 引用 (Scopus)

抄録

Drought is one of the most complex natural hazards that threaten human life and property. Until recently, however, the drought phenomenon has not been fully understood. Defining droughts based on a single variable index such as precipitation, soil moisture, or evapotranspiration may not be sufficient for reliable risk assessment and decision making. In this article, a multivariate, multi-index drought-modeling approach is proposed by using the concept of copulas. The proposed model, known as Standardized Integrated Drought Index (SIDI), is a probabilistic combination of the Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and the Standardized Soil Moisture Index (SSI) for drought characterization that is established by the principal components analysis method (PCA). This model was applied for analyzing in the Cai River basin, Vietnam, and is compared with SPI, SPEI, and SSI. The results show that the drought severity of the study area is relatively high during many years, with occurrences during many months of the affected years. The results of drought changes show numerous differences among indices, particularly in SPI/SPEI and SSI. The results based on the combination of SPI, SPEI, and SSI indicates that SIDI effectively shows drought onset and termination. The onset is dominated by SPI/SPEI, and drought persistence is more similar to SSI behavior. Overall, the proposed SIDI is a reasonable model for combining multiple indices probabilistically.

元の言語英語
ページ(範囲)417-425
ページ数9
ジャーナルJournal of the Faculty of Agriculture, Kyushu University
60
発行部数2
出版物ステータス出版済み - 9 1 2015

Fingerprint

Vietnam
Droughts
Rivers
evapotranspiration
Soil
drought
soil water
Principal Component Analysis
risk assessment
decision making
Decision Making
principal component analysis

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Agronomy and Crop Science

これを引用

Drought assessment in Cai River basin, Vietnam : A comparison with regard to SPI, SPEI, SSI, and SIDI. / Nguyen, Luong Bang; Li, Qiong Fang; Ngoc, Trieu Ann; Hiramatsu, Kazuaki.

:: Journal of the Faculty of Agriculture, Kyushu University, 巻 60, 番号 2, 01.09.2015, p. 417-425.

研究成果: ジャーナルへの寄稿記事

@article{c60df486a793494d875664bca886b7f7,
title = "Drought assessment in Cai River basin, Vietnam: A comparison with regard to SPI, SPEI, SSI, and SIDI",
abstract = "Drought is one of the most complex natural hazards that threaten human life and property. Until recently, however, the drought phenomenon has not been fully understood. Defining droughts based on a single variable index such as precipitation, soil moisture, or evapotranspiration may not be sufficient for reliable risk assessment and decision making. In this article, a multivariate, multi-index drought-modeling approach is proposed by using the concept of copulas. The proposed model, known as Standardized Integrated Drought Index (SIDI), is a probabilistic combination of the Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and the Standardized Soil Moisture Index (SSI) for drought characterization that is established by the principal components analysis method (PCA). This model was applied for analyzing in the Cai River basin, Vietnam, and is compared with SPI, SPEI, and SSI. The results show that the drought severity of the study area is relatively high during many years, with occurrences during many months of the affected years. The results of drought changes show numerous differences among indices, particularly in SPI/SPEI and SSI. The results based on the combination of SPI, SPEI, and SSI indicates that SIDI effectively shows drought onset and termination. The onset is dominated by SPI/SPEI, and drought persistence is more similar to SSI behavior. Overall, the proposed SIDI is a reasonable model for combining multiple indices probabilistically.",
author = "Nguyen, {Luong Bang} and Li, {Qiong Fang} and Ngoc, {Trieu Ann} and Kazuaki Hiramatsu",
year = "2015",
month = "9",
day = "1",
language = "English",
volume = "60",
pages = "417--425",
journal = "Journal of the Faculty of Agriculture, Kyushu University",
issn = "0023-6152",
publisher = "Faculty of Agriculture, Kyushu University",
number = "2",

}

TY - JOUR

T1 - Drought assessment in Cai River basin, Vietnam

T2 - A comparison with regard to SPI, SPEI, SSI, and SIDI

AU - Nguyen, Luong Bang

AU - Li, Qiong Fang

AU - Ngoc, Trieu Ann

AU - Hiramatsu, Kazuaki

PY - 2015/9/1

Y1 - 2015/9/1

N2 - Drought is one of the most complex natural hazards that threaten human life and property. Until recently, however, the drought phenomenon has not been fully understood. Defining droughts based on a single variable index such as precipitation, soil moisture, or evapotranspiration may not be sufficient for reliable risk assessment and decision making. In this article, a multivariate, multi-index drought-modeling approach is proposed by using the concept of copulas. The proposed model, known as Standardized Integrated Drought Index (SIDI), is a probabilistic combination of the Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and the Standardized Soil Moisture Index (SSI) for drought characterization that is established by the principal components analysis method (PCA). This model was applied for analyzing in the Cai River basin, Vietnam, and is compared with SPI, SPEI, and SSI. The results show that the drought severity of the study area is relatively high during many years, with occurrences during many months of the affected years. The results of drought changes show numerous differences among indices, particularly in SPI/SPEI and SSI. The results based on the combination of SPI, SPEI, and SSI indicates that SIDI effectively shows drought onset and termination. The onset is dominated by SPI/SPEI, and drought persistence is more similar to SSI behavior. Overall, the proposed SIDI is a reasonable model for combining multiple indices probabilistically.

AB - Drought is one of the most complex natural hazards that threaten human life and property. Until recently, however, the drought phenomenon has not been fully understood. Defining droughts based on a single variable index such as precipitation, soil moisture, or evapotranspiration may not be sufficient for reliable risk assessment and decision making. In this article, a multivariate, multi-index drought-modeling approach is proposed by using the concept of copulas. The proposed model, known as Standardized Integrated Drought Index (SIDI), is a probabilistic combination of the Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and the Standardized Soil Moisture Index (SSI) for drought characterization that is established by the principal components analysis method (PCA). This model was applied for analyzing in the Cai River basin, Vietnam, and is compared with SPI, SPEI, and SSI. The results show that the drought severity of the study area is relatively high during many years, with occurrences during many months of the affected years. The results of drought changes show numerous differences among indices, particularly in SPI/SPEI and SSI. The results based on the combination of SPI, SPEI, and SSI indicates that SIDI effectively shows drought onset and termination. The onset is dominated by SPI/SPEI, and drought persistence is more similar to SSI behavior. Overall, the proposed SIDI is a reasonable model for combining multiple indices probabilistically.

UR - http://www.scopus.com/inward/record.url?scp=84978034053&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978034053&partnerID=8YFLogxK

M3 - Article

VL - 60

SP - 417

EP - 425

JO - Journal of the Faculty of Agriculture, Kyushu University

JF - Journal of the Faculty of Agriculture, Kyushu University

SN - 0023-6152

IS - 2

ER -