scholarly journals Spatial Assessment of Drought Features over Different Climates and Seasons Across Iran

2021 ◽  
Author(s):  
Saeed Sharafi ◽  
Mehdi Mohammadi Ghaleni
Keyword(s):  
Drought Index ◽  
Standard Precipitation Index ◽  
Drought Assessment ◽  
Coastal Desert ◽  
Four Seasons ◽  
Effects Of Temperature ◽  
Comparison Of The Results ◽  
Suitable Index ◽  
Complex Phenomena ◽  
Different Climates

Abstract Drought is one of the most complex phenomena in the world, so proper management is very important in monitoring and reducing its damage. For this purpose, Standard Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) and Reconnaissance Drought Index (RDI) indices were used to analyze the intensity and frequency of drought in the coastal wet, mountain, semi mountain, semi desert, desert and coastal desert climates of Iran in four seasons, separately: autumn, winter, spring and summer. 43 synoptic stations with a common statistical period of 50 years (1969–2019) were selected. The results showed that the trend of drought in winter and summer is increasing in all studied climates. The highest correlation (0.80–0.99) between SPI-RDI and SPEI-RDI indices in coastal desert, mountain and semi mountain climates and the lowest correlation (0.34) between SPI-SPEI and SPEI-RDI indices in semi desert, desert and coastal desert climates were obtained. The comparison of the results in the trend analysis of the drought showed the same trend, but the SPEI index compared to the other indicators showed a quicker response to changes in drier climates. SPI-RDI variations showed similar values in colder climates. The SPEI is based on precipitation and temperature data, and it has the advantage of combining multi-scalar character with the capacity to include the effects of temperature variability in the drought assessment. Thus, SPEI is recommended as a suitable index for studying and identifying the effect of climate change on drought conditions.

scholarly journals Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China

2015 ◽  
Vol 369 ◽  
pp. 61-67
Author(s):  
Q. Li ◽  
M. Zeng ◽  
H. Wang ◽  
P. Li ◽  
K. Wang ◽  
...  
Keyword(s):  
River Basin ◽  
Drought Index ◽  
Eastern China ◽  
Standardized Precipitation Index ◽  
Cumulative Distribution ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
Drought Assessment ◽  
The Huaihe River ◽  
Multivariate Drought Index

Abstract. The Huaihe River Basin having China's highest population density (662 persons per km2) 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.

scholarly journals A new early warning drought index for Ethiopia

2018 ◽  
Vol 9 (3) ◽  
pp. 624-630
Author(s):  
Yonas Tadesse ◽  
Aklilu Amsalu ◽  
Paolo Billi ◽  
Massimiliano Fazzini
Keyword(s):  
Early Warning ◽  
Drought Index ◽  
Aridity Index ◽  
Precipitation Index ◽  
Z Score ◽  
Standard Precipitation Index ◽  
Eastern Ethiopia ◽  
Rain Gauges ◽  
Dire Dawa ◽  
Seeding Time

Abstract This study investigates the occurrence of droughts in the Dire Dawa area of eastern Ethiopia. A new index based on the rainfall delay (Rd) with respect to the expected onset (and traditional) seeding time and other indices, i.e., the aridity index and the Z-score, alternatives to the Standard Precipitation Index (SPI), are used to test the validity of the new Rd index in identifying severe droughts extending back to 1955. Although only data of rain gauges located in the district of Dire Dawa were used, they proved, albeit with different accuracies, able to identify nation-wide droughts.

scholarly journals Using integrated meteorological and hydrological indices to assess drought characteristics in southern Taiwan

2019 ◽  
Vol 50 (3) ◽  
pp. 901-914 ◽  
Author(s):  
Hsin-Fu Yeh
Keyword(s):  
River Basin ◽  
Drought Index ◽  
Standardized Precipitation Index ◽  
Assessment Method ◽  
Drought Indices ◽  
Trend Test ◽  
Integrated Analysis ◽  
Drought Assessment ◽  
Southern Taiwan ◽  
The Standardized Precipitation Index

Abstract Numerous drought index assessment methods have been developed to investigate droughts. This study proposes a more comprehensive assessment method integrating two drought indices. The Standardized Precipitation Index (SPI) and the Streamflow Drought Index (SDI) are employed to establish an integrated drought assessment method to study the trends and characteristics of droughts in southern Taiwan. The overall SPI and SDI values and the spatial and temporal distributions of droughts within a given year (November to October) revealed consistent general trends. Major droughts occurred in the periods of 1979–1980, 1992–1993, 1994–1995, and 2001–2003. According to the results of the Mann–Kendall trend test and the Theil–Sen estimator analysis, the streamflow data from the Sandimen gauging station in the Ailiao River Basin showed a 30% decrease, suggesting increasing aridity between 1964 and 2003. Hence, in terms of water resources management, special attention should be given to the Ailiao River Basin. The integrated analysis showed different types of droughts occurring in different seasons, and the results are in good agreement with the climatic characteristics of southern Taiwan. This study suggests that droughts cannot be explained fully by the application of a single drought index. Integrated analysis using multiple indices is required.

Drought assessment for real-time hydrologic drought index of the Nakdong River Basin in Korea

2013 ◽  
Vol 52 (13-15) ◽  
pp. 2826-2832 ◽  
Author(s):  
Sangman Jeong ◽  
Insang Yu ◽  
Micah Lourdes A. Felix ◽  
Sangdan Kim ◽  
Kukryul Oh
Keyword(s):  
Real Time ◽  
River Basin ◽  
Drought Index ◽  
Nakdong River ◽  
Drought Assessment ◽  
Nakdong River Basin ◽  
The Nakdong River ◽  
Hydrologic Drought

The Research of the Regional Meteorological Drought Assessment Model

2013 ◽  
Vol 448-453 ◽  
pp. 1032-1037
Author(s):  
Wenkun Liu ◽  
Yuansheng Pei ◽  
Yong Zhao ◽  
Wei Hua Xiao
Keyword(s):  
Drought Index ◽  
Function Analysis ◽  
Meteorological Drought ◽  
Assessment System ◽  
Assessment Model ◽  
Joint Distribution Function ◽  
Drought Assessment ◽  
Characteristic Values ◽  
Weihe Basin ◽  
Drought Characteristic

The drought turns more serious in recent years, and it lacked an appropriate system to assess the regional meteorological drought. The paper took Weihe basin for example, completed the regional meteorological drought assessment by four steps. They were the drought evaluation units division, the drought index selection and calculation based on RDI (reconnaissance drought index), the drought identification and the drought characteristic values analysis based on the correlation coefficient and the copulas connect joint distribution function analysis. It discussed the interrelationship of the regional drought characteristics of area, duration, severity and frequency, and formed a relatively complete regional meteorological drought assessment system.

scholarly journals Comprehensive Drought Assessment Using a Modified Composite Drought index: A Case Study in Hubei Province, China

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 462 ◽  
Author(s):  
Si Chen ◽  
Wushuang Zhong ◽  
Shihan Pan ◽  
Qijiao Xie ◽  
Tae-Woong Kim
Keyword(s):  
Agricultural Development ◽  
Drought Index ◽  
Global Climate ◽  
Composite Index ◽  
Meteorological Drought ◽  
Hubei Province ◽  
Practical Significance ◽  
Drought Assessment ◽  
Drought Conditions ◽  
Multivariate Drought Index

Under the background of global climate change, accurate monitoring and comprehensive assessment of droughts are of great practical significance to sustain agricultural development. Considering multiple causes and the complexity of the occurrence of drought, this paper employs multiple input variables, i.e., precipitation, temperature, evaporation, and surface water content to construct a modified composite drought index (MCDI) using a series of mathematical calculation methods. The derived MCDI was calculated as a multivariate drought index to measure the drought conditions and verify its accuracy in Hubei Province in China. Compared with the existing multivariate drought index, i.e., meteorological drought composite index (CI), there was a high level of correlation in monitoring drought events in Hubei Province. Moreover, according to the drought historical record, the significant drought processes monitored by the MCDI were consistent with actual drought conditions. Furthermore, temporal and spatial analysis of drought in Hubei Province was performed based on the monitoring results of the MCDI. This paper generalizes the development of the MCDI as a new method for comprehensive assessments of regional drought.

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