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Water 2016, 8(9), 373; doi:10.3390/w8090373

SPI Based Meteorological Drought Assessment over a Humid Basin: Effects of Processing Schemes

1,2
and
1,*
1
Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, No. 73 East Beijing Road, Nanjing 210008, China
2
University of Chinese Academy of Sciences, No. 19 Yuquan Road, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Academic Editor: Y. Jun Xu
Received: 12 June 2016 / Revised: 24 August 2016 / Accepted: 26 August 2016 / Published: 31 August 2016
(This article belongs to the Special Issue Tackling Complex Water Problems in China under Changing Environment)
View Full-Text   |   Download PDF [2604 KB, uploaded 31 August 2016]   |  

Abstract

Meteorological drought monitoring is important for drought early warning and disaster prevention. Regional meteorological drought can be evaluated and analyzed with standardized precipitation index (SPI). Two main processing schemes are frequently adopted: (1) mean of all SPI calculated from precipitation at individual stations (SPI-mean); and (2) SPI calculated from all-station averaged precipitation (precipitation-mean). It yet remains unclear if two processing schemes could make difference in drought assessment, which is of significance to reliable drought monitoring. Taking the Poyang Lake Basin with monthly precipitation recorded by 13 national stations for 1957–2014, this study examined two processing schemes. The precipitation mean and SPI mean were respectively calculated with the Thiessen Polygon weighting approach. Our results showed that the two SPI series individually constructed from two schemes had similar features and monitoring trends of regional meteorological droughts. Both SPI series had a significantly positive correlation (p < 0.005) with the number of precipitation stations. The precipitation-mean scheme reduced the extent of precipitation extremes and made the precipitation data more clustered in some certain, it made less precipitation deviate from the precipitation-mean series farther when less precipitation occurred universally, which would probably change the drought levels. Alternatively, the SPI-mean scheme accurately highlighted the extremes especially for those with wide spatial distribution over the region. Therefore, for regional meteorological drought monitoring, the SPI-mean scheme is recommended for its more suitable assessment of historical droughts. View Full-Text
Keywords: meteorological drought; processing scheme; precipitation; standardized precipitation index; basin meteorological drought; processing scheme; precipitation; standardized precipitation index; basin
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhou, H.; Liu, Y. SPI Based Meteorological Drought Assessment over a Humid Basin: Effects of Processing Schemes. Water 2016, 8, 373.

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