A comparison of the China-Z Index (CZI) and the Standardized Precipitation Index (SPI) for drought assessment in the Hirfanli Dam basin in central Turkey

2021 ◽  
Vol 14 (24) ◽  
Author(s):  
Utku Zeybekoğlu ◽  
Gaye Aktürk
Keyword(s):  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Drought Assessment ◽  
The Standardized Precipitation Index ◽  
Central Turkey

Drought assessment using the standardized precipitation index (SPI) in GIS environment in Greece

2022 ◽  
pp. 619-633
Author(s):  
Demetrios E. Tsesmelis ◽  
Constantina G. Vasilakou ◽  
Kleomenis Kalogeropoulos ◽  
Nikolaos Stathopoulos ◽  
Stavros G. Alexandris ◽  
...  
Keyword(s):  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Drought Assessment ◽  
Gis Environment ◽  
The Standardized Precipitation Index

scholarly journals Daily standardized precipitation index with multiple time scale for monitoring water deficit across the mainland China from 1961 to 2018

2021 ◽  
Author(s):  
Qianfeng Wang ◽  
Rongrong Zhang ◽  
Yanping Qu ◽  
Jingyu Zeng ◽  
Xiaoping Wu ◽  
...  
Keyword(s):  
Standardized Precipitation Index ◽  
Social Economy ◽  
Mainland China ◽  
Precipitation Index ◽  
Agricultural Drought ◽  
Multiple Time ◽  
Data Set ◽  
Drought Assessment ◽  
Multi Scale ◽  
The Standardized Precipitation Index

Abstract. With the increasing shortage of water resources, drought has become one of the hot issues in the world. The standardized precipitation index (SPI) is one of the widely used drought assessment indicators because of its simple and effective calculation method, but it can only assess drought events more than one month. We developed a new multi-scale daily SPI dataset to make up for the shortcomings of the commonly used SPI and meet the needs of drought types at different time scales. Taking three typical stations in Henan, Yunnan and Fujian Province as examples, the drought events identified by SPI with different scales were consistent with the historical drought events recorded. Meanwhile, we took the 3-month scale SPI of soil and agricultural drought as an example, and analyzed the characteristics of drought events in 484 stations in Chinese mainland. The results showed that most of the drought events the mainland China did not increase significantly, and some parts of the northwestern Xinjiang and Northeast China showed signs of gradual relief. In short, our daily SPI data set is freely available to the public on the website https://doi.org/10.6084/m9.figshare.14135144, and can effectively capture drought events of different scales. It can also meet the needs of drought research in different fields such as meteorology, hydrology, agriculture, social economy, etc.

scholarly journals Drought assessment in the northern region of Colombia using the Standardized Precipitation Index (SPI): a case study in the department of La Guajira

2021 ◽  
Author(s):  
Luis Díaz Chávez ◽  
Ana Patricia Espinosa Romero ◽  
Jairo Rosado Vega
Keyword(s):  
Recurrent Events ◽  
Temporal Trends ◽  
Standardized Precipitation Index ◽  
Northern Region ◽  
Precipitation Index ◽  
Drought Assessment ◽  
Operational Characteristics ◽  
Significance Levels ◽  
The Standardized Precipitation Index

Abstract The objective of this study was to assess droughts in the department of La Guajira, Columbia, on the basis of their operational characteristics. Droughts were assessed using the Standardized Precipitation Index (SPI) at three- and six-month aggregation periods (SPI-3 and SPI-6), and their operational characteristics were analyzed by the run theory and via analysis of temporal trends using the modified Mann-Kendall (MMK) test. The results indicated that droughts were most frequent in La Guajira between 1995 and 2004. The occurrence of droughts was most accurately identified by SPI-6. It was observed that the central, southern, and western areas of the department had droughts of greater duration, severity, and intensity. The MMK test shows negative (decreasing) temporal trends at significance levels α between 0.1 and 0.01 in 6.12% of the meteorological stations located in the central and southern areas of La Guajira. These results support the conclusion that droughts are recurrent events in the department of La Guajira as a result of the arid and semi-arid climate prevalent in significant portions of the department’s land area. This elucidates the vulnerability of agriculture and livestock in such areas that are prone to droughts of greater duration, severity, and intensity.

Drought assessment and monitoring in Jordan using the standardized precipitation index

2019 ◽  
Vol 12 (14) ◽  
Author(s):  
Husam A. Abu Hajar ◽  
Yasmin Z. Murad ◽  
Khaldoun M. Shatanawi ◽  
Bashar M. Al-Smadi ◽  
Yousef A. Abu Hajar
Keyword(s):  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Drought Assessment ◽  
Assessment And Monitoring ◽  
The Standardized Precipitation Index

scholarly journals Integrated TRMM Data and Standardized Precipitation Index to Monitor the Meteorological Drought

2019 ◽  
Vol 5 (7) ◽  
pp. 1590-1598 ◽  
Author(s):  
Zaidoon T. Abdulrazzaq ◽  
Raghad H. Hasan ◽  
Nadia A. Aziz
Keyword(s):  
Meteorological Data ◽  
Standardized Precipitation Index ◽  
Meteorological Drought ◽  
Precipitation Index ◽  
Northeast Region ◽  
Drought Assessment ◽  
Monitoring And Forecasting ◽  
Southwest Region ◽  
The Standardized Precipitation Index ◽  
Semi Arid

Droughts are a major problem in Iraq especially in the Arid and Semi-Arid Lands where they are frequent and causes a great deal of suffering and loss. Drought monitoring and forecasting requires extensive climate and meteorological data which is usually largely missing in developing countries or not available in the required spatial and temporal resolutions. In this study, the drought categories were defined for the years 2000, 2005, 2010, 2015 and 2017 using the TRMM data to map the spatiotemporal meteorological drought, and the Standardized Precipitation Index (SPI) to analyze the meteorological drought at 11 stations located in Western Iraq. The SPI analyses were performed on 12-month datasets for five years. The results showed that the northeast region has the higher rainfall indices and the southwest region has the lowest rainfall. An analysis of the drought and rain conditions showed that the quantity of extreme drought events was higher than that expected in the study area, especially in the south and southwest areas. Therefore, an alternate classification is proposed to describe the drought, which spatially classifies the drought type as mild, moderate, severe and extreme. In conclusion, the integration between TRMM data SPI data proved to be an effective tool to map the spatial distribution and drought assessment in the study area.

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