Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China
The Huaihe River Basin having China's highest population density (662 persons per km<sup>2</sup>) lies in a transition zone between the climates of North and South China, and is thus prone to drought. Therefore, the paper aims to develop an appropriate drought assessment approach...
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Format: | Article |
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Copernicus Publications
2015-06-01
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Series: | Proceedings of the International Association of Hydrological Sciences |
Online Access: | https://www.proc-iahs.net/369/61/2015/piahs-369-61-2015.pdf |
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author | Q. Li Q. Li M. Zeng M. Zeng H. Wang P. Li K. Wang K. Wang M. Yu M. Yu |
author_facet | Q. Li Q. Li M. Zeng M. Zeng H. Wang P. Li K. Wang K. Wang M. Yu M. Yu |
author_sort | Q. Li |
collection | DOAJ |
description | The Huaihe River Basin having China's highest population density (662
persons per km<sup>2</sup>) lies in a transition zone between the climates of North and
South China, and is thus prone to drought. Therefore, the paper aims to
develop an appropriate drought assessment approach for drought assessment in
the Huaihe River basin, China. Based on the Principal Component Analysis of
precipitation, evapotranspiration, soil moisture and runoff, the three
latter variables of which were obtained by use of the Xin'anjiang model, a
new multivariate drought index (MDI) was formulated, and its thresholds were
determined by use of cumulative distribution function. The MDI, the
Standardized Precipitation Index (SPI) and the self-calibrating Palmer
Drought Severity Index (sc-PDSI) time series on a monthly scale were
computed and compared during 1988, 1999/2000 and 2001 drought events. The
results show that the MDI exhibited certain advantages over the sc-PDSI and
the SPI in monitoring drought evolution. The MDI formulated by this paper
could provide a scientific basis for drought mitigation and management, and
references for drought assessment elsewhere in China. |
first_indexed | 2024-12-22T20:33:10Z |
format | Article |
id | doaj.art-8f5d61c424724a78843a3b9550dc4056 |
institution | Directory Open Access Journal |
issn | 2199-8981 2199-899X |
language | English |
last_indexed | 2024-12-22T20:33:10Z |
publishDate | 2015-06-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Proceedings of the International Association of Hydrological Sciences |
spelling | doaj.art-8f5d61c424724a78843a3b9550dc40562022-12-21T18:13:32ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2015-06-01369616710.5194/piahs-369-61-2015Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern ChinaQ. Li0Q. Li1M. Zeng2M. Zeng3H. Wang4P. Li5K. Wang6K. Wang7M. Yu8M. Yu9College of Hydrology and Water Resources, Hohai University, Nanjing, ChinaCenter for International River Research, Hohai University, Nanjing, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing, ChinaCenter for International River Research, Hohai University, Nanjing, ChinaHenan Hydrology and Water Resources Survey Bureau, Zhengzhou, ChinaXinyang Hydrology and Water Resources Survey Bureau, Xinyang, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing, ChinaCenter for International River Research, Hohai University, Nanjing, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing, ChinaCenter for International River Research, Hohai University, Nanjing, ChinaThe Huaihe River Basin having China's highest population density (662 persons per km<sup>2</sup>) lies in a transition zone between the climates of North and South China, and is thus prone to drought. Therefore, the paper aims to develop an appropriate drought assessment approach for drought assessment in the Huaihe River basin, China. Based on the Principal Component Analysis of precipitation, evapotranspiration, soil moisture and runoff, the three latter variables of which were obtained by use of the Xin'anjiang model, a new multivariate drought index (MDI) was formulated, and its thresholds were determined by use of cumulative distribution function. The MDI, the Standardized Precipitation Index (SPI) and the self-calibrating Palmer Drought Severity Index (sc-PDSI) time series on a monthly scale were computed and compared during 1988, 1999/2000 and 2001 drought events. The results show that the MDI exhibited certain advantages over the sc-PDSI and the SPI in monitoring drought evolution. The MDI formulated by this paper could provide a scientific basis for drought mitigation and management, and references for drought assessment elsewhere in China.https://www.proc-iahs.net/369/61/2015/piahs-369-61-2015.pdf |
spellingShingle | Q. Li Q. Li M. Zeng M. Zeng H. Wang P. Li K. Wang K. Wang M. Yu M. Yu Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China Proceedings of the International Association of Hydrological Sciences |
title | Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China |
title_full | Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China |
title_fullStr | Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China |
title_full_unstemmed | Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China |
title_short | Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China |
title_sort | drought assessment using a multivariate drought index in the huaihe river basin of eastern china |
url | https://www.proc-iahs.net/369/61/2015/piahs-369-61-2015.pdf |
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