Drought Hazard Mitigation and Risk

Şen, Zekâi̇

doi:10.1016/b978-0-12-802176-7.00007-9

Cited by 11 publications

(14 citation statements)

References 38 publications

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“…The computational process to calculate SPI includes the following steps: (a) Initially fit an appropriate probability density function (PDF) to precipitation data aggregated over the desired time scale, (b) then convert each PDF to a normalized normal probability distribution. Detailed mathematical procedures for calculating SPI can be found in McKee et al (1993), Guttman (1999), Mishra andSingh (2010), andŞen (2015). Considering that droughts and their socioeconomic impacts evolve over longer time scales (windows), we chose SPI-3…”

Section: Methodsmentioning

confidence: 99%

Drought risk assessment by applying drought hazard and vulnerability indices for irrigated wheat (Case study: Khorasan provinces, Iran)

Latifi,

Khorramdel,

Koocheki

et al. 2023

Preprint

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This study investigated drought risk, drought vulnerability, and drought hazard in Northeast Iran (North Khorasan, Razavi Khorasan, and South Khorasan provinces) during 2009-2018. Exposure, sensitivity and adaptive capacity together determine the agricultural drought vulnerability. Three parameters of soil water holding capacity, level of mechanization and the amount of water consumption of agricultural wells were considered effective adaptive capacity factors to reduce the negative effects of drought on irrigated wheat production by having an auxiliary role. Results showed that among 51 counties in Khorasan provinces, 12 counties are exposed to the low drought Vulnerability, 11 counties to the moderate drought Vulnerability and 28 counties to the high drought Vulnerability. Counties with less drought vulnerability have a high score in terms of the adaptive capacity index. This high score is due to the high water holding capacity of the soil in these areas. Regions in the high and very high drought hazard classes are mostly in the center and south of the studied region and the amount of precipitation is low. In general, irrigated wheat is produced with medium and high risk in half of the counties of North Khorasan, Razavi Khorasan and South Khorasan provinces. Water scarcity, lack of reliable surface sources, improper distribution of rainfall, high temperature and poor vegetation cover in these areas have caused many problems in agriculture. Risk management needs to be revised in these regions due to the undeniable effects of climate change and the strategic nature of this product.

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Section: Methodsmentioning

confidence: 99%

Drought risk assessment by applying drought hazard and vulnerability indices for irrigated wheat (Case study: Khorasan provinces, Iran)

Latifi,

Khorramdel,

Koocheki

et al. 2023

Preprint

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“…Drought is the consequence of a significant decline in the hydrological variables such as precipitation, soil moisture, and streamflow that undesirably affects all living beings. It is typically divided into four groups: MD, AD, HD, and SE [19,20]. All types start with MD, which is the result of precipitation deficiency.…”

Section: Overview Of Drought Indicesmentioning

confidence: 99%

“…In case of insufficient soil moisture for average crop growth and yields, AD may lead to crop failure, reduced range of productivity, livestock, and famine. The SD arising from the consequences of other types of droughts has important effects on society, and the economy can be expressed as a situation in which the demand for water exceeds the supply [19].…”

Section: Overview Of Drought Indicesmentioning

confidence: 99%

Drought Monitoring and Forecasting across Turkey: A Contemporary Review

et al. 2023

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One of the critical consequences of climate change at both local and regional scales is a change in the patterns of extreme climate events such as droughts. Focusing on the different types of droughts, their quantifying indices, associated indicators, and sources of data (remote sensing (RS)/in situ measurements), this article reviewed the recent studies (from 2010 to 2022) that have explored drought features in Turkey. To this end, a total of 71 articles were selected from the Web of Science (WoS) and Scopus databases. The selected papers were clustered into two categories: (i) drought monitoring studies and (ii) drought forecasting articles. Then, the representative papers were reviewed in detail regarding the implemented indices, models (techniques), case study area, and source of the indicators used to derive drought indices. The review results showed that most of the studies aimed at meteorological drought monitoring and forecasting. An increasing trend was also observed in the use of machine learning for short-term meteorological and hydrological drought prediction. On the other hand, the emerging RS technology and satellite-driven indicators were rarely used in the country. The review showed that there is room for more research on agricultural and hydrological drought monitoring, forecasting, and pattern detection in Turkey.

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“…While drought has been defined according to many different characteristics, Şen (2015) categorized drought into four main types: meteorological, agricultural, hydrological, and famine. These are, respectively, the consequences of deficits in precipitation, runoff, soil moisture, and food [5]. To assess meteorological drought, researchers have analyzed different indices such as the Standardized Precipitation Index (SPI; [6]), the Standardized Precipitation Evapotranspiration Index (SPEI; [7]), the Palmer drought severity index (PDSI; [8]), the Standardized Antecedent Precipitation Evapotranspiration Index (SAPEI; [9]), etc.…”

Section: Introductionmentioning

confidence: 99%

Drought Assessment across Erbil Using Satellite Products

et al. 2023

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In this article, meteorological and agricultural droughts across the Erbil province, Iraq, were assessed using remote sensing data and satellite products. To this end, the long-term (2000–2022) Standardized Precipitation Evapotranspiration index (SPEI) at 1- and 3-month accumulation periods (SPEI-1 and SPEI-3) as well as the Normalized Difference Vegetation Index (NDVI) across Erbil were utilized. While the former was retrieved from the global SPEI data repository, the latter was derived from Moderate Resolution Imaging Spectroradiometer (MODIS) products. The spatiotemporal variations in the SPEI indices indicated that two to nine extreme drought events occurred in the province with an increasing northward pattern. An increasing trend in the long-term NDVI series was also detected, having more diversity in vegetation coverage in the northern part of the province. The relationship between the SPEI and MODIS-NDVI was found to be positive but insignificant. Thus, we concluded that short-term meteorological droughts were not the only reason for the agricultural droughts in Erbil. Furthermore, the climate characteristics related to the cumulative water balance over a previous season is not an important trigger for the spatial variation in vegetation coverage across the province.

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Drought Hazard Mitigation and Risk

Cited by 11 publications

References 38 publications

Drought risk assessment by applying drought hazard and vulnerability indices for irrigated wheat (Case study: Khorasan provinces, Iran)

Drought risk assessment by applying drought hazard and vulnerability indices for irrigated wheat (Case study: Khorasan provinces, Iran)

Drought Monitoring and Forecasting across Turkey: A Contemporary Review

Drought Assessment across Erbil Using Satellite Products

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