Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia

2018 ◽  
Vol 93 (2) ◽  
pp. 823-847 ◽  
Author(s):  
Kavina S. Dayal ◽  
Ravinesh C. Deo ◽  
Armando A. Apan
Keyword(s):  
Risk Mapping ◽  
Drought Risk ◽  
Mapping Approach ◽  
Spatio Temporal

scholarly journals MODEL PEMETAAN RISIKO KEKERINGAN DI KABUPATEN BIMA, NUSA TENGGARA BARAT

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Nuraimmatul Faizah ◽  
Imam Buchori
Keyword(s):  
Risk Model ◽  
Secondary Data ◽  
Risk Mapping ◽  
Risk Level ◽  
Drought Risk ◽  
Mapping Model ◽  
Spatial Approach ◽  
Analysis Technique ◽  
Relevant Variables ◽  
Drought Mitigation

Drought in Bima regency is an annual phenomenon that always happens every year and its handling is still short-term. Therefore, there needs to be a monitoring and analysis of the drought risk factors so the drought risk mapping can be conducted to plan the drought mitigation. This research aims to develop the drought risk mapping model with Geographic Information System to find out the drought risk level in Bima regency based on the relevant variables. The drought risk model used as the basic of the research is the intersection between hazard and vulnerability, which are the basic models in disaster risk study. This research uses spatial approach with quantitative method which uses statistic indicator to measure and compare several variables. The data was collected by using institutional and literature survey. The data used was secondary data. The data analysis technique used was scoring analysis, weighting, and map overlay. The result of drought risk mapping model in Bima regency was classified into 5 classes, dominated by the Middle Class. The width of the classes consequently from the highest to the lowest are: Middle ±223.232,40 ha, Middle Lower ±136.414,29 ha, Middle High ±47.971,49 ha, Low ±10.962,28 ha dan High ± 1.776,53 ha. Then the model validation was conducted through field survey, with the validity result at 83,61%. The result shows that the modeling was good enough in analyzing the drought risk spatially. For further development, it is recommended to notice the used risk model, data using, analysis unit for each parameter, and the validation that will be used.

scholarly journals Drought Risk Mapping in East Nusa Tenggara Indonesia Based on Return Periods

2018 ◽  
Vol 11 (4) ◽  
pp. 489-497 ◽  
Author(s):  
Heri Kuswanto ◽  
Kartika Fithriasar ◽  
Rosyida Inas
Keyword(s):  
Risk Mapping ◽  
Drought Risk ◽  
Return Periods

scholarly journals A Bayesian copula-based spatio-temporal method for multivariate drought risk analysis: A case study of the Balkhash Lake Basin

2021 ◽  
Author(s):  
Xin Yang ◽  
Yongping Li
Keyword(s):  
Risk Analysis ◽  
Temporal Analysis ◽  
Lake Basin ◽  
Drought Risk ◽  
Severe Drought ◽  
Drought Event ◽  
Spatio Temporal ◽  
Guarantee Rate ◽  
East West

In this study, a Bayesian copula spatio-temporal drought risk analysis (BCSDA) method is developed through coupling Bayesian copula and spatio-temporal analysis into a general framework. BCSDA can effectively identify drought characteristics and reveal the temporal and spatial variation, as well as analyze drought risk at different guaranteed rates based on the influence of multivariate interaction. Then, BCSDA is applied to the Balkhash Lake Basin (a typical arid watershed in Central Asia) for analyzing drought risk during 1901-2017. Major findings are: (i) Balkhash Lake Basin suffered 53 drought events in 1901-2017, and the most severe drought event occurred in October 1973 to January 1977, which lasted for 40 months and developed into an extreme drought during April 1975 to June 1976, affecting 335,800 square kilometers of the study basin; (ii) most of the drought events developed in the direction of east-west, and Lli River delta and the alluvial plain were the most severe of drought (47.2%), followed by the plateau desert area (28.3%) and the arid grassland in north of Balkhash Lake (24.5%); (iii) drought shows significant seasonality which usually began in spring and summer (64.2%) and ended in summer and autumn (66.0%); (iv) in Balkhash Lake Basin, multivariate characteristics (duration, severity and area) would significantly affect drought risk; (v) the range of drought risk would be [1.9%, 18.1%], [3.7%, 33.1%], [8.7%, 46.0%], [16.0%, 55.1%] and [27.6%, 59.8%] when guarantee rate is 0.99, 0.98, 0.95, 0.90 and 0.80.

scholarly journals Spatio-temporal Variability and Trends of Mean and Extreme Rainfall Events in the Sudano-sahelian Region of Cameroon

2021 ◽  
Author(s):  
Ibrahim NJOUENWET ◽  
Lucie A. Djiotang Tchotchou ◽  
Brian Odhiambo Ayugi ◽  
Guy Merlin Guenang ◽  
Derbetini A. Vondou ◽  
...  
Keyword(s):  
Climate Change ◽  
Extreme Rainfall ◽  
Temporal Variations ◽  
Annual Rainfall ◽  
Drought Risk ◽  
Extreme Rainfall Events ◽  
Rainfall Events ◽  
Precipitation Concentration ◽  
Spatio Temporal ◽  
The Impact

Abstract The Sudano-Sahelian region of Cameroon is mainly drained by the Benue, Chari and Logone rivers, which are very useful for water resources, especially for irrigation, hydropower generation, and navigation. Long-term changes in mean and extreme rainfall events in the region may be of crucial importance in understanding the impact of climate change. Daily and monthly rainfall data from twenty-five synoptic stations in the study area from 1980 to 2019 and extreme indices from the Expert Team on Climate Change Detection and Indices (ETCCDI) measurements were estimated using the non-parametric Modified Mann-Kendall test and the Sen slope estimator. The precipitation concentration index (PCI), the precipitation concentration degree (PCD), and the precipitation concentration period (PCP) were used to explore the spatio-temporal variations in the characteristics of rainfall concentrations. An increase in extreme rainfall events was observed, leading to an upward trend in mean annual. Trends in consecutive dry days (CDD) are significantly increasing in most parts of the study area. This could mean that the prevalence of drought risk is higher in the study area. Overall, the increase in annual rainfall could benefit the hydro-power sector, agricultural irrigation, the availability of potable water sources, and food security.

scholarly journals Spatio-temporal analysis of drought variability in central Ethiopia

2020 ◽  
Author(s):  
Solomon Abirdew Yirga
Keyword(s):  
Standardized Precipitation Index ◽  
Temporal Analysis ◽  
Geographical Information ◽  
Drought Indices ◽  
Drought Risk ◽  
Central Ethiopia ◽  
Drought Variability ◽  
Cascading Effect ◽  
Maximum Value ◽  
Spatio Temporal

Abstract Drought is a major problem in Ethiopia and particularly affects the agricultural and water sectors. This paper aims to assess the spatial and temporal drought variability of central Ethiopia. For this purpose, archival rainfall data recorded from 1989 to 2017 and the Gurage zone topographic maps were used. The five stations’ Standardized Precipitation Index (SPI) were combined with the geographical information system (GIS) to analyze the spatial distribution of drought events. The results show that a total number of 41 drought events were recorded in the region. The number of drought events reaches its maximum value in the year 1992, whereas Bui and Koshe contain the most frequent drought events. The spatial analysis of droughts verifies that most of the frequent and extreme events are recorded in the eastern part of the region. The lowland part of Gurage zone is very prone to drought. The grounded spatio-temporal drought risk events analysis has shown a possible threat to the water and rain-fed farming that has a cascading effect on the livelihoods of farmers. Moreover, the drought condition of the region is unpredictable and recurrent. This study recommends further study containing remaining statistical drought indices such as reconnaissance drought and streamflow drought index.

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