Search

The objective of this study is to analyze future drought characteristics in meteorological, hydrology, and agricultural droughts under the impact of changing climate in the Kessie watershed, upper Blue Nile Basin, using three drought indices; Reconnaissance Drought Index (RDI), Streamflow Drought Index (SDI) and Agricultural Standardized Precipitation Index (aSPI), respectively. The study used baseline data (1985–2014) and future (2041–2100) downscaled from Coupled Model Intercomparison Project 6 (CMIP-6) based on the three Global Climate Models (GCMs) projections under two scenarios of the Shared Socioeconomic Pathways (SSP) (SSP2-4.5, SSP5-8.5) with well-calibrated Soil and Water Assessment Tool (SWAT) model to simulate future streamflow for two future time horizons 2050s (2041–2070) and 2080s (2071–2100). Based on the yearly time scale, our results indicate that droughts of a high magnitude and rising frequency would affect most of the research area. These droughts will be either meteorological (RDI), agricultural (aSPI), or hydrological (SDI). Short-term agricultural and hydrological droughts are also anticipated to occur more frequently. The projected increases in frequency and trend of agricultural and hydrological droughts in this area are greater due to the anticipated drop in annual rainfall and the larger increase in mean annual temperature in the middle of Kessie. Furthermore, compared to hydrological and agricultural droughts, meteorological drought is less vulnerable to climate change; but, as the accumulation period lengthens, a stronger association develops between hydrological and agricultural droughts. These findings may be useful for water resources management and future planning for mitigation and adaptation to the climate change impact in the study area. [ABSTRACT FROM AUTHOR]

Copyright of Hydrological Sciences Journal/Journal des Sciences Hydrologiques is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Annals of the Association of American Geographers is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Annals of the Association of American Geographers is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Rain-fed agriculture exists in North Sinai and Marsa Matrouh in Egypt. The objective of this paper was to close the gap in our understanding on how climate would affect agricultural sustainability in rain-fed area. To implement that, integrated modeling approach was used. BISm and Yield–Stress models were used to simulate the effect of climate change on crops productivity in 2030. Furthermore, the effect of manure application to these crops was done to explore its effect on improving productivity under drought conditions. The simulation results revealed that productivity of barley and wheat will severely reduce in 2030, whereas the productivity of fruit trees will reduce with lower magnitude. Simulation of the additive effect of manure application revealed that yield losses in all the studied crops were reduced. Potential barley yield losses were reduced from 48 and 85% in North Sinai and Marsa Matrouh, respectively, to 12 and 71%. Wheat yield losses will be reduced from 62 and 90% in North Sinai and Marsa Matrouh, respectively, to 38 and 82%. Therefore, a production package should be implemented in these areas to increase its resilience to face rain fall variability in the future. [ABSTRACT FROM AUTHOR]