scholarly journals Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB)

2019 ◽  
Vol 16 (17) ◽  
pp. 3100 ◽  
Author(s):  
Han Wu ◽  
Donghong Xiong ◽  
Bintao Liu ◽  
Su Zhang ◽  
Yong Yuan ◽  
...  
Keyword(s):  
River Basin ◽  
Temporal Analysis ◽  
Water Shortage ◽  
Severe Drought ◽  
Crop Water ◽  
Water Shortages ◽  
Moderate Drought ◽  
Koshi River Basin ◽  
Spatio Temporal ◽  
One Year

Drought is one of the most frequent meteorological disasters, and has exerted significant impacts on the livelihoods and economy of the Koshi River Basin (KRB). In this study, we assessed drought patterns using the Crop Water Shortage Index (CWSI) based on the MOD16 product for the period between 2000 and 2014. The results revealed that the CWSI based on the MOD16 product can be act as an indicator to monitor the characteristics of the drought. Significant spatial heterogeneity of drought was observed in the basin, with higher CWSI values downstream and upstream than in the midstream. The midstream of the KRB was dominated by light drought, moderate drought occurred in the upstream, and the downstream was characterized by severe drought. The monthly CWSI during one year in KRB showed the higher CWSI between March to May (pre-monsoon) and October to December (post-monsoon) rather than June to September (monsoon), and the highest was observed in the month of April, suggesting that precipitation plays the most important role in the mitigation of CWSI. Additionally, the downstream and midstream showed a higher variation of drought compared to the upstream in the basin. This research indicates that the downstream suffered severe drought due to seasonal water shortages, especially during the pre-monsoon, and water-related infrastructure should be implemented to mitigate losses caused by drought.

scholarly journals Investigating the Spatio-Temporal Variation of Soil Moisture and Agricultural Drought towards Supporting Water Resources Management in the Red River Basin of Vietnam

2021 ◽  
Vol 13 (9) ◽  
pp. 4926
Author(s):  
Nguyen Duc Luong ◽  
Nguyen Hoang Hiep ◽  
Thi Hieu Bui
Keyword(s):  
Soil Moisture ◽  
River Basin ◽  
Temporal Dynamics ◽  
Regional Scale ◽  
Dry Season ◽  
Red River ◽  
Agricultural Drought ◽  
Severe Drought ◽  
Red River Basin ◽  
Spatio Temporal

The increasing serious droughts recently might have significant impacts on socioeconomic development in the Red River basin (RRB). This study applied the variable infiltration capacity (VIC) model to investigate spatio-temporal dynamics of soil moisture in the northeast, northwest, and Red River Delta (RRD) regions of the RRB part belongs to territory of Vietnam. The soil moisture dataset simulated for 10 years (2005–2014) was utilized to establish the soil moisture anomaly percentage index (SMAPI) for assessing intensity of agricultural drought. Soil moisture appeared to co-vary with precipitation, air temperature, evapotranspiration, and various features of land cover, topography, and soil type in three regions of the RRB. SMAPI analysis revealed that more areas in the northeast experienced severe droughts compared to those in other regions, especially in the dry season and transitional months. Meanwhile, the northwest mainly suffered from mild drought and a slightly wet condition during the dry season. Different from that, the RRD mainly had moderately to very wet conditions throughout the year. The areas of both agricultural and forested lands associated with severe drought in the dry season were larger than those in the wet season. Generally, VIC-based soil moisture approach offered a feasible solution for improving soil moisture and agricultural drought monitoring capabilities at the regional scale.

Spatio-temporal analysis of land use/cover changes in the Pra River Basin, Ghana

2019 ◽  
Vol 12 (1) ◽  
pp. 83-93 ◽  
Author(s):  
Ebenezer Boakye ◽  
F. O. K. Anyemedu ◽  
Jonathan A. Quaye-Ballard ◽  
Emmanuel A. Donkor
Keyword(s):  
Land Use ◽  
River Basin ◽  
Temporal Analysis ◽  
Spatio Temporal ◽  
Pra River

Spatio-temporal analysis and estimation of rainfall variability in and around upper Godavari River basin, India

2019 ◽  
Vol 12 (22) ◽  
Author(s):  
Sainath Aher ◽  
Sambhaji Shinde ◽  
Praveen Gawali ◽  
Pragati Deshmukh ◽  
Lakshmi B. Venkata
Keyword(s):  
River Basin ◽  
Rainfall Variability ◽  
Temporal Analysis ◽  
Godavari River ◽  
Spatio Temporal

scholarly journals Assessment of Future Climate Change Impact on Agricultural Water Supply Capacity in Geum River Basin Using SWAT and MODSIM-DSS

2020 ◽  
Vol 20 (6) ◽  
pp. 55-66
Author(s):  
Sehoon Kim ◽  
Chunggil Jung ◽  
Jiwan Lee ◽  
Jinuk Kim ◽  
Seongjoon Kim
Keyword(s):  
Water Supply ◽  
River Basin ◽  
Water Shortage ◽  
Future Climate Change ◽  
Industrial Water ◽  
Agricultural Water ◽  
Water Shortages ◽  
Daily Streamflow ◽  
Agricultural Water Supply ◽  
Supply Capacity

This study is to evaluate future agricultural water supply capacity in Geum river basin (9,865 km<sup>2</sup>) using SWAT and MODSIM-DSS. The MODSIM-DSS was established by dividing the basin into 14 subbasins, and the irrigation facilities of agricultural reservoirs, pumping stations, diversions, culverts and groundwater wells were grouped within each subbasin, and networked between subbasins including municipal and industrial water supplies. The SWAT was calibrated and validated using 11 years (2005-2015) daily streamflow data of two dams (DCD and YDD) and 4 years (August 2012 to December 2015) data of three weirs (SJW, GJW, and BJW) considering water withdrawals and return flows from agricultural, municipal, and industrial water uses. The Nash−Sutcliffe efficiency (NSE) of two dam and three weirs inflows were 0.55∼0.70 and 0.57∼0.77 respectively. Through MODSIM-DSS run for 34 years from 1982 to 2015, the agricultural water shortage had occurred during the drought years of 1982, 1988, 1994, 2001 and 2015. The agricultural water shortage could be calculated as 197.8 × 10<sup>6</sup> m<sup>3</sup>, 181.9 × 10<sup>6</sup> m<sup>3</sup>, 211.5 × 10<sup>6</sup> m<sup>3</sup>, 189.2 × 10<sup>6</sup> m<sup>3</sup> and 182.0 × 10<sup>6</sup> m<sup>3</sup> respectively. The big shortages of agricultural water were shown in water resources unit map number of 3004 (Yeongdongcheon) and 3012 (Geumgang Gongju) areas exceeding 25.1 × 10<sup>6</sup> m<sup>3</sup> and 47.4 × 10<sup>6</sup> m<sup>3</sup>. From the estimation of future agricultural water requirement using RCP 8.5 INM-CM4 scenario, the 3004 and 3012 areas showed significant water shortages of 26.1 × 10<sup>6</sup> m<sup>3</sup> (104.1%) and 50.9 × 10<sup>6</sup> m<sup>3</sup> (107.4%) in 2080s (2070∼2099) compared to the present shortages. The water shortages decreased to 23.6 × 10<sup>6</sup> m<sup>3</sup> (94.0%) and 43.3 × 10<sup>6</sup> m<sup>3</sup> (91.4%) below of the present shortages by developing irrigation facilities.

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 analysis of remotely sensed rainfall datasets retrieved for the transboundary basin of the Madeira River in Amazonia

Atmósfera ◽  
2020 ◽  
Author(s):  
Vinicius Alexandre Sikora de Souza ◽  
Daniel Medeiros Moreira ◽  
Otto Corrêa Rotunno Filho ◽  
Anderson Paulo Rudke ◽  
Claudia Daza Andrade ◽  
...  
Keyword(s):  
River Basin ◽  
Rainfall Variability ◽  
Temporal Analysis ◽  
Remotely Sensed ◽  
Rain Gauges ◽  
Madeira River ◽  
Satellite Rainfall ◽  
Climate Hazards ◽  
Spatio Temporal ◽  
Madeira River Basin

Rainfall is recognized as the most important driving force of the hydrologic cycle. To accurately represent the spatio-temporal rainfall variability continues to be an enormous hydrological task when using commonly sparse, if available, rain gauges networks. Therefore, the present study devoted a special effort to analyze the robustness of some satellite rainfall products, notably the datasets hereafter named as (i) CHIRP (Climate Hazards Group InfraRed Precipitation), (ii) CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data), (iii) 3B42, and (iv) 3B42RT of the Tropical Rainfall Measuring Mission (TRMM), to adequately represent the pluviometric regime in the Madeira river basin. To assess the accuracy of acquired remotely sensed rainfall products, comparisons to observational available rain gauges usually taken as ground-truth in the literature, despite their well-known limitations, were performed. Wavelet analysis was also used to validate the performance of the referred satellite products by means of extracting the corresponding cycles, frequencies, and tendencies along the available time series across the studied basin. The results showed that the data sources CHIRPS and CHIRP better represent the pluviometric phenomenon by means of their monthly accumulated rainfall in the Madeira river basin when compared to the 3B42 and 3B42RT products taking into account rain gauges as baseline information. The CHIRPS product performed the best among the selected rainfall estimators for the Madeira river basin. Further analysis brought up also another very interesting result related to non-rainfall periods, which is usually not reported. However, such evaluation is quite important in hydrology when examining run sequences of droughts and consequent effects in the water balance at the watershed scale. Highly accurate estimates in the sense of identifying non-rainfall periods by remotely sensed information was achieved, which represents an additional and valuable asset of satellite rainfall products. It is worthwhile to say that this perspective deserves to receive much more attention in the literature in order to deeply discuss the water-energy-food nexus.

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