Recent Climate Trends and Drought Behavioral Assessment Based on Precipitation and Temperature Data Series in the Songhua River Basin of China

Muhammad Imran Khan (), Dong Liu (), Qiang Fu (), Shuhua Dong (), Umar Waqas Liaqat (), Muhammad Abrar Faiz (), Yuxiang Hu () and Qaisar Saddique ()
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Muhammad Imran Khan: Northeast Agricultural University
Dong Liu: Northeast Agricultural University
Qiang Fu: Northeast Agricultural University
Shuhua Dong: Hydrological Bureau of Heilongjiang Province
Umar Waqas Liaqat: Hanyang University
Muhammad Abrar Faiz: Northeast Agricultural University
Yuxiang Hu: Northeast Agricultural University
Qaisar Saddique: Northwest A&F University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 13, No 23, 4839-4859

Abstract: Abstract Precise analysis of spatiotemporal trends of temperature, precipitation and meteorological droughts plays a key role in the sustainable management of water resources in the given region. This study first aims to detect the long-term climate (monthly/seasonally and annually) trends from the historical temperature and precipitation data series by applying Spearmen’s Rho and Mann-Kendall test at 5 % significant level. The measurements of both climate variables for a total period of 49 years (1965–2013) were collected from the 11 different meteorological stations located in the Songhua River basin of China. Secondly, the two well-known meteorological drought indices including the Standardized Precipitation Index (SPI) and Reconnaissance Drought Index (RDI) were applied on normalize data to detect the drought hazards at 3, 6, 9 and 12 month time scale in the study area. The analysis of monthly precipitation showed significant (p

Keywords: Standardized precipitation index; Reconnaissance drought index; Variability; Drought; Extreme climate (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11269-016-1456-x

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