Drought Vulnerability Assessment Using Geospatial Techniques in Southern Queensland, Australia

Hoque, Muhammad Al-Amin; Pradhan, Biswajeet; Ahmed, Naser; Alamri, Abdullah

doi:10.3390/s21206896

Cited by 20 publications

(5 citation statements)

References 78 publications

(196 reference statements)

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“…Within those regions, stream flow fluctuates throughout the year. As a result, higher elevation zones are more vulnerable to drought than lower elevation zones (Hoque et al, 2021). Elevation data have been acquired for this study by the DEM of the NASA Space Shuttle Radar Topography Mission (SRTM) utilizing InSAR with 1 Arc spatial resolution which is equivalent to 30-meter resolution.…”

Section: Elevationmentioning

confidence: 99%

Drought vulnerability modeling over Mandawa watershed, northern Iraq, using GIS-AHP techniques

Ahmed

Suleimany

2023

Polytechnic j.

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Drought is among the most severe natural calamities induced by lack of water, having a negative implication on water resources and agriculture in the affected area. Drought types and severity vary by location, so understanding the spatial distribution can aid in developing measures to overcome this natural hazard. In this study, the areas vulnerable to droughts in the Mandawa watershed in the Kurdistan region of Iraq were determined by employing seven associated factors: rainfall, temperature, LULC, surface slope, soil texture, elevation, and distance to rivers. Satellite imagery of Landsat 8 OLI for 2021 was employed to create the Land Use and Land Cover (LULC) and distance to rivers maps. The elevation and surface slope maps have been generated from the Digital Elevation Model at 30 m resolution, soil texture map was extracted from The FAO Digital Soil Map of the World and the inverse distance weighting method was utilized to interpolate the rainfall and temperature throughout the watershed. Analytical Hierarchy Process (AHP) was used to create a pairwise compression matrix to obtain the weight of each parameter. In the Geographic Information System (GIS) environment, the combined impact of affecting factors was utilized to create the area's drought zonation map. The results indicated that only 5.2% and 13.8% of the study area is vulnerable to extreme and severe droughts, respectively. While more than 35% of the watershed is hardly vulnerable to droughts.

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Section: Elevationmentioning

confidence: 99%

Drought vulnerability modeling over Mandawa watershed, northern Iraq, using GIS-AHP techniques

Ahmed

Suleimany

2023

Polytechnic j.

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“…Drought vulnerability mapping offers a framework for identifying relevant areas experiencing dryness/wetness. The maps can help decision-makers visualize the location and intensity of extreme droughts to establish measures that reduce potential drought-related losses [90]. One of the objectives of this study is to generate a disaster-vulnerability map combining the dryness-wetness categories in a GIS environment and to assess the spatial pattern of recent meteorological droughts in China.…”

Section: Climate Change Characterized By Global Warming Has Become An...mentioning

confidence: 99%

“…In terms of meteorological droughts, this study relied on limited meteorological stations that are not capable of covering the entire study area, while stations that cover the whole domain could provide a better outcome. High-spatial-resolution maps can contribute to the accuracy and visualization of the results; hence, the study will benefit from highresolution datasets [90]. The parameters of the SARIMA models among different stations have regional heterogeneity (Table A2), which depend on the natural conditions such as the underlying surface, geographical location, and climatic characteristics [76].…”

Section: Development Of Drought Forecasting Modelsmentioning

confidence: 99%

“…In this sense, future research will consider forecasting models driven by combined meteorological and remote sensing data for drought monitoring. In addition to this, studies can also consider climatic and environmental change factors that influence each type of drought [90], especially considering the possible nonlinear effects of certain climate drivers on drought events [12], such as the El Niño phenomenon [81].…”

Section: Development Of Drought Forecasting Modelsmentioning

confidence: 99%

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Evidence for Intensification in Meteorological Drought since the 1950s and Recent Dryness–Wetness Forecasting in China

Yang

Bing

2022

Atmosphere

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Drought is one of the major environmental stressors; drought is increasingly threatening the living environment of mankind. The standardized precipitation evapotranspiration index (SPEI) with a 12-month timescale was adopted to monitor dry–wet status over China from 1951 to 2021. The modified Mann–Kendall (MMK) and Pettitt tests were used to assess the temporal trend and nonlinear behavior of annual drought variability. The analysis focuses on the spatio-temporal structure of the dry–wet transition and its general connections with climate change processes. In addition, the seasonal autoregressive integrated moving average (SARIMA) model was applied to forecast the dry–wet behavior in the next year (2022) at 160 stations, and the hotspot areas for extreme dryness–wetness in China were identified in the near term. The results indicate that the dry–wet climate in China overall exhibits interannual variability characterized by intensified drought. The climate in the Northeast China (NEC), North China (NC), Northwest China (NWC), and Southwest China (SWC) has experienced a significant (p < 0.05) drying trend; however, the dry–wet changes in the East China (EC) and South Central China (SCC) are highly spatially heterogeneous. The significant uptrend in precipitation is mainly concentrated to the west of 100° E; the rising magnitude of precipitation is higher in Eastern China near 30° N, with a changing rate of 20–40 mm/decade. Each of the sub-regions has experienced significant (p < 0.01) warming over the past 71 years. Geographically, the increase in temperature north of 30° N is noticeably higher than that south of 30° N, with trend magnitudes of 0.30–0.50 °C/decade and 0.15–0.30 °C/decade, respectively. The response of the northern part of Eastern China to the warming trend had already emerged as early as the 1980s; these responses were earlier and more intense than those south of 40° N latitude (1990s). The drying trends are statistically significant in the northern and southern regions, bounded by 30° N, with trend magnitudes of −0.30–−0.20/decade and −0.20–−0.10/decade, respectively. The northern and southwestern parts of China have experienced a significant (p < 0.05) increase in the drought level since the 1950s, which is closely related to significant warming in recent decades. This study reveals the consistency of the spatial distribution of variations in precipitation and the SPEI along 30° N latitude. A weak uptrend in the SPEI, i.e., an increase in wetness, is shown in Eastern China surrounding 30° N, with a changing rate of 0.003–0.10/decade; this is closely associated with increasing precipitation in the area. Drought forecasting indicates that recent drying areas are located in NWC, the western part of NC, the western part of SWC, and the southern part of SCC. The climate is expected to show wetting characteristics in NEC, the southeastern part of NC, and the eastern part of EC. The dry–wet conditions spanning the area between 30–40° N and 100–110° E exhibit a greater spatial variability. The region between 20–50° N and 80–105° E will continue to face intense challenges from drought in the near future. This study provides compelling evidence for the temporal variability of meteorological drought in different sub-regions of China. The findings may contribute to understanding the spatio-temporal effect of historical climate change on dry–wet variation in the region since the 1950s, particularly in the context of global warming.

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“…Studies utilising both the AHP & MIF methods in drought assessment are very rare. However, in recent years, studies on drought assessment utilising GIS and AHP methods have been observed and the method has proved to be useful and reliable as well [21][22][23]. The AHP method developed by Saaty [24][25] helps in deciding or prioritising decision criteria in the pairwise comparison matrix when multiple alternatives are available for obtaining or deciding the best objective or goal.…”

Section: Introductionmentioning

confidence: 99%

Assessment and Identification of drought prone zone in a Low Laying Area by AHP and MIF method: A GIS based study

Singh

Devi

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The study location, the Imphal West district of Manipur state, is known for its flood-prone character due to its low-lying topography in India’s north-eastern region. Unexpectedly, in the year 2019, a drought-like scenario with extremely limited available surface water arose, severely affecting agricultural activity in the region, which is primarily covered by agricultural land. Drought-prone zones for 2019 were discovered using GIS (Geographical Information System) tools and satellite data, employing both the AHP (Analytic Hierarchy Process) and MIF (Multi Influencing Factor) methods. Seven parameters (rainfall, temperature, slope, drainage density, soil, landuse/landcover, and groundwater yield) were taken as input parameters. Drought zones were simulated and classified as mild (22.82% according to AHP and 39.42% according to MIF), moderate (60.10% and 54.71%), severe (16.16% and 5.55%), and extreme (0.92% and 0.32%). Drought data (ground data) from the State Government Department (2019) shows that 43.71% of drought zones are mild, while 51.32% are moderate, indicating that the MIF approach can more accurately simulate the drought region than the AHP method.

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Drought Vulnerability Assessment Using Geospatial Techniques in Southern Queensland, Australia

Cited by 20 publications

References 78 publications

Drought vulnerability modeling over Mandawa watershed, northern Iraq, using GIS-AHP techniques

Drought vulnerability modeling over Mandawa watershed, northern Iraq, using GIS-AHP techniques

Evidence for Intensification in Meteorological Drought since the 1950s and Recent Dryness–Wetness Forecasting in China

Assessment and Identification of drought prone zone in a Low Laying Area by AHP and MIF method: A GIS based study

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