Comparison of Nine Meteorological Drought Indices Over Middle Euphrates Region During Period from 1988 To 2017

Alwan, Imzahim A.; Ziboon, Abdul Razzak T.; Khalaf, Alaa G.

doi:10.14419/ijet.v7i4.20.27400

Cited by 11 publications

(9 citation statements)

References 2 publications

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“…Remote sensing rainfall estimation from the Tropical Rainfall Measuring Mission (TRMM) is considered as a potential alternative to supply the rain gauge data with a good spatial distribution [43,44]. The TRMM is a joint U.S.-Japan satellite mission to monitor tropical and subtropical precipitation and to estimate its associated latent heating.…”

Section: Satellite-based Climate Datamentioning

confidence: 99%

Potential Water Harvesting Sites Identification Using Spatial Multi-Criteria Evaluation in Maysan Province, Iraq

Alwan

Aziz²,

Hamoodi

2020

IJGI

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Rainwater harvesting is a promising tool for supplementing surface water and groundwater to overcome the imbalance between water supply and demand under changing climate conditions. Multi-Criteria Evaluation is one of the well-known methods of decision-making. In this study, the geographical information system (GIS)-based Multi-Criteria Evaluation is used to select the optimum rainwater harvesting sites in Maysan province, Iraq. Fuzzy membership is used for standardization of the criteria, and Fuzzy Gamma overlay for a combination of multi-layers using ArcGIS 10.5. Seven criteria layers, including slope, stream order, soil type, precipitation, evaporation, roads, and the Normalized Difference Vegetation Index (NDVI) are derived to identify rainwater-harvesting catchment. The results determined the optimum sites for water storage within the study area. The resultant potential rainwater harvesting catchment map can be used as a reference to enhance the effectiveness of water management, especially in drought-stricken areas that offer significant potential for sustainable agricultural production in the semi-arid region.

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Section: Satellite-based Climate Datamentioning

confidence: 99%

Potential Water Harvesting Sites Identification Using Spatial Multi-Criteria Evaluation in Maysan Province, Iraq

Alwan

Aziz²,

Hamoodi

2020

IJGI

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“…Short periods of precipitation deviation impacts soil wetness and long period's precipitation aberrations reflects impact on the available water [20]. For this index, the negative value indicates less than average precipitations whereas the positive indicates is more than average [21]. The period of recorded data must be more than 30 years, because this index is fitted to this period as well and it must be comparable with other regions of different climate conditions [22].…”

Section: Standardized Precipitation Index (Spi)mentioning

confidence: 99%

“…Where i, j and k are the hydrological year, months of this year and reference period respectively. For each k of the i th hydrological year, the SDI is computed based on the V i, k , by using Equation ( 21): (21) Where V k and S k are the mean and standard deviation of the cumulative streamflow volumes of the reference period k.…”

Section: Hydrological Drought Index Streamflow Drought Index (Sdi)mentioning

confidence: 99%

“…The severity, duration, frequency and spatial extents of drought are the vital characteristics for understanding and assessment of droughts. Intensity of the meteorological drought is usually assessed by the negative deviations of precipitation from its normal rates [10]. Over the years, many droughts indices (DIs) were developed and utilized by the climatologists and meteorologists.…”

Section: Introductionmentioning

confidence: 99%

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Indices-Based Evaluation of Spatiotemporal Distribution of Drought Within Derbendkhan Dam Watershed

Al-Khafaji¹,

Al-Ameri²

2021

ETJ

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Drought is one of the most significant natural disasters in Iraq. It has a strong impact on the water resources in Iraq. Consequently, it causes massive environmental damage, economic deficiency, and social problems to the country. Therefore, more considerations towards the study and management of drought has become of vital importance in recent decades. In this paper, three drought indices (DIs) were computed for evaluation of the spatiotemporal of drought within Derbendikhan Dam Watershed (DDW) in the Diyala River Basin, Iraq. Based on the monthly weather data for the period (1984 – 2013) downloaded from the Climate Forecast System Reanalysis (CFSR) for eight stations located within DDW. The Reconnaissance Drought Index (RDI), standardized precipitation index (SPI) and Streamflow Drought Index (SDI) at 12-month time scale were computed to assess droughts in the DDW. For each index, the temporal variations of the drought severity and Drought Frequency Patterns (DFPs) for the period (1984 – 2013) were computed and analyzed. In addition, spatial distributions of the drought severity for each index were mapped and investigated. Accordingly, the DFPs were compared to specify the dominant and/or more frequent DFPs. The results show that the performances of different DIs are strongly correlated with the dominant factors of droughts and drought duration. Also, the SPI and SDI are less accurate than the RDI when both precipitation and evaporation are the main factors controlling the drought events. However, the SPI and SDI indices are identical in the same proportions of the dry years which are less than the ratio of dry years to an RDI, but the severity of the drought from the SDI results is higher than the severity of the drought relative to the SPIand RDI. The three indices indicate that the Eastern region is drier than the Western region, which is somewhat wet.

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“…Wet conditions are stated as positive SPI values, while the negative values represent drought states. Various studies were utilizing SPI to monitor the meteorological drought in Iraq with good results [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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

2019

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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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Comparison of Nine Meteorological Drought Indices Over Middle Euphrates Region During Period from 1988 To 2017

Cited by 11 publications

References 2 publications

Potential Water Harvesting Sites Identification Using Spatial Multi-Criteria Evaluation in Maysan Province, Iraq

Potential Water Harvesting Sites Identification Using Spatial Multi-Criteria Evaluation in Maysan Province, Iraq

Indices-Based Evaluation of Spatiotemporal Distribution of Drought Within Derbendkhan Dam Watershed

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

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