Sensitivity Assessment to the Occurrence of Different Types of Droughts Using GIS and AHP Techniques

Zarei, Amin; Moghimi, Mohammad Mehdi; Koohi, Elham

doi:10.1007/s11269-021-02906-3

Cited by 32 publications

(11 citation statements)

References 37 publications

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“…Droughts are divided into four types: meteorological, agricultural, hydrological, and socioeconomic [24,25]. Drought can be determined by its drastic effects; however, various methods are used to calculate the drought severity, occurrence, and frequency [26].…”

Section: Introductionmentioning

confidence: 99%

Trends of Rainfall Variability and Drought Monitoring Using Standardized Precipitation Index in a Scarcely Gauged Basin of Northern Pakistan

Moazzam

Rahman

Munawar

et al. 2022

Water

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This study focused on the trends of rainfall variability and drought monitoring in the northern region of Pakistan (Gilgit-Baltistan). Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) model data were used for the period of 1981 to 2020. The Standardized Precipitation Index (SPI) was applied to assess the dry and wet conditions during the study period. The Mann–Kendall (MK) and Spearman’s rho (SR) trend tests were applied to calculate the trend of drought. A coupled model intercomparison project–global circulation model (CMIP5–GCMs) was used to project the future precipitation in Gilgit-Baltistan (GB) for the 21st century using a multimodel ensemble (MME) technique for representative concentration pathway (RCP) 4.5 and RCP 8.5. From the results, the extreme drought situations were observed in the 12-month SPI series in 1982 in the Diamir, Ghizer, and Gilgit districts, while severe drought in 1982–1983 was observed in Astore, Ghizer, Gilgit, Hunza-Nagar, and Skardu. Similarly, in 2000–2001 severe drought prevailed in Diamir, Ghanche, and Skardu. The results of MK and SR indicate a significant increasing trend of rainfall in the study area, which is showing the conversion of snowfall to rainfall due to climate warming. The future precipitation projections depicted an increase of 4% for the 21st century as compared with the baseline period in the GB region. The results of the midcentury projections depicted an increase in precipitation of about 13%, while future projections for the latter half of the century recorded a decrease in precipitation (about 9%) for both RCPs, which can cause flooding in midcentury and drought in the latter half of the century. The study area is the host of the major glaciers in Pakistan from where the Indus River receives its major tributaries. The area and volume of these glaciers are decreasing due to warming impacts of climate change. Therefore, this study is useful for proper water resource management to cope up with water scarcity in the future.

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Section: Introductionmentioning

confidence: 99%

Trends of Rainfall Variability and Drought Monitoring Using Standardized Precipitation Index in a Scarcely Gauged Basin of Northern Pakistan

Moazzam

Rahman

Munawar

et al. 2022

Water

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“…The study area is bordered by Isfahan and Yazd provinces in the north, Kohkiluyeh and Bushehr provinces in the west, Hormozgan province in the south, and Kerman province in the east. The altitude of the study area is between 151 and 3662 m 28‐32 . The study area consists of three distinct climatic zones: North and northwest with cold winters and moderate summers (with long‐term mean annual precipitation equal to 265.67 mm) Central areas with moderate winters and hot summers South and southeast with cold winters and hot summers …”

Section: Methodsmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

Multi‐criteria decision analysis integrated with GIS to determine land suitability for cultivation and best harvest time of vine

2022

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BACKGROUND In this study, the quality of land suitability for vine cultivation in south‐western Iran was evaluated and a land suitability map for vine cultivation was developed using the fuzzy‐analytic hierarchy process (AHP). The best harvest time of vines was determined based on the relationship between total soluble solids (TSS) and titratable acidity (TA) with fruit colour (red, green, and blue or RGB) in ten points and also the growing degree‐days (GDD) maps from April to December. The relationship between GDD and effective parameters in vine cultivation was determined using principal component analysis (PCA) and Pearson correlation methods. RESULTS The results illustrated that the maximum temperature and relative humidity (RH) have the greatest effect on vine cultivation and its yield (weight 0.24). The results of the land suitability map showed that central regions have better conditions for growing vines (32%). The measurements of TA and TSS depicted that vines of the northern parts have higher TA and lower TSS and there is a significant relationship between them and fruit colour. The results of GDD maps showed that the harvest time of ruby vine and Gezel‐azm is July and August, respectively. Also, the temperature (Tmean, Tmax and Tmin), wind speed, and GDD were the most important parameters to determine the best location for vine cultivation. CONCLUSION Determining land suitability for cultivation, the best harvest time, the time of grape ripening, and following the exact time of export and import of vine has a vital role to increase its productivity and services. © 2022 Society of Chemical Industry.

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“…Depending on the individual climatic circumstances, drought may also happen in locations with heavy precipitation or humidity, therefore it's not just a risk in dry or arid areas (Erdem et al, 2021;Ideki and Weli, 2019;Khampeera et al, 2018). Food security in our country is at serious risk due to severe droughts, which severely threaten agricultural and water resources (Mohammad Ekrami et al, 2016;A. Zarei et al, 2021) (Ramu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Drought vulnerability assessment by employingtheGeographical Information Systemand Analytical Hierarchy Processfor the Kurnool district of Andhra Pradesh, India

Nyayapathi¹

2023

Ecocycles

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Droughts are recurring events that adversely affect agricultural activities, population density, and irrigated land. The consequences vary from region to region and are called a 'creeping phenomenon'. It is necessary to map drought vulnerability comprehensively in order to develop and implement drought mitigation strategies. In this regard, remote sensing-based studies are most robust, effective, and efficient at monitoring and mapping droughts compared to conventional ground survey methods. The purpose of this study was to develop a comprehensive drought vulnerability map using geospatial techniques and remote sensing to assess the spatial extent of drought vulnerability in Kurnool district, Andhra Pradesh, India. A total of 13 drought-influencing parameters such as Slope, Elevation, Aspect, Soil texture, Geology/Lithology, Land Use & Land Cover, Drainage density, Distance from water bodies, Groundwater fluctuation, Normalized Difference Vegetation Index, Rainfall, Land Surface Temperature, and Topographic Wetness Index were selected for the assessment of drought vulnerability. These indices were integrated to create drought maps of both spatial and temporal extent in ArcGIS. Using pairwise comparison matrices, the Analytical hierarchy process (AHP) calculates weights for each criterion. The Drought Vulnerability Assessment map is generated by analyzing the parameters through spatial analysis. The results revealed that the drought vulnerability index of Kurnool is 42.5. This finding has been successfully validated by historical drought records of the region. Decision-makers can use the results to develop and apply proactive drought mitigation strategies.

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Sensitivity Assessment to the Occurrence of Different Types of Droughts Using GIS and AHP Techniques

Cited by 32 publications

References 37 publications

Trends of Rainfall Variability and Drought Monitoring Using Standardized Precipitation Index in a Scarcely Gauged Basin of Northern Pakistan

Trends of Rainfall Variability and Drought Monitoring Using Standardized Precipitation Index in a Scarcely Gauged Basin of Northern Pakistan

Multi‐criteria decision analysis integrated with GIS to determine land suitability for cultivation and best harvest time of vine

Drought vulnerability assessment by employingtheGeographical Information Systemand Analytical Hierarchy Processfor the Kurnool district of Andhra Pradesh, India

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