scholarly journals Setting up the water balance simulation model WaSiM for the assessment of climate change impacts in Chiba basin, Tunisia

Author(s):  
Franz Hummel ◽  
Joachim Post ◽  
Gunter Strunz ◽  
Ralf Ludwig ◽  
Annemarie Hoffmann ◽  
...  
2020 ◽  
Vol 186 ◽  
pp. 109544 ◽  
Author(s):  
Thundorn Okwala ◽  
Sangam Shrestha ◽  
Suwas Ghimire ◽  
S. Mohanasundaram ◽  
Avishek Datta

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207370 ◽  
Author(s):  
Wentian He ◽  
J. Y. Yang ◽  
B. Qian ◽  
C. F. Drury ◽  
G. Hoogenboom ◽  
...  

2012 ◽  
Vol 16 (12) ◽  
pp. 4581-4601 ◽  
Author(s):  
R. Ali ◽  
D. McFarlane ◽  
S. Varma ◽  
W. Dawes ◽  
I. Emelyanova ◽  
...  

Abstract. This study assesses climate change impacts on water balance components of the regional unconfined aquifer systems in south-western Australia, an area that has experienced a marked decline in rainfall since the mid 1970s and is expected to experience further decline due to global warming. Compared with the historical period of 1975 to 2007, reductions in the mean annual rainfall of between 15 and 18 percent are expected under a dry variant of the 2030 climate which will reduce recharge rates by between 33 and 49 percent relative to that under the historical period climate. Relative to the historical climate, reductions of up to 50 percent in groundwater discharge to the ocean and drainage systems are also expected. Sea-water intrusion is likely in the Peel-Harvey Area under the dry future climate and net leakage to confined systems is projected to decrease by up to 35 percent which will cause reduction in pressures in confined systems under current abstraction. The percentage of net annual recharge consumed by groundwater storage, and ocean and drainage discharges is expected to decrease and percentage of net annual recharge consumed by pumping and net leakage to confined systems to increase under median and dry future climates. Climate change is likely to significantly impact various water balance components of the regional unconfined aquifer systems of south-western Australia. We assess the quantitative climate change impact on the different components (the amounts) using the most widely used GCMs in combination with dynamically linked recharge and physically distributed groundwater models.


2020 ◽  
Vol 159 (4) ◽  
pp. 503-522 ◽  
Author(s):  
João Paulo Lyra Fialho Brêda ◽  
Rodrigo Cauduro Dias de Paiva ◽  
Walter Collischon ◽  
Juan Martín Bravo ◽  
Vinicius Alencar Siqueira ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Ambrose Mubialiwo ◽  
Charles Onyutha ◽  
Adane Abebe

Changes in the long-term (1948–2016) rainfall and evapotranspiration over Mpologoma catchment were analysed using gridded (0.25° × 0.25°) Princeton Global Forcing data. Trend and variability were assessed using a nonparametric approach based on the cumulative sum of the difference between exceedance and nonexceedance counts of data. Annual and March-May (MAM) rainfall displayed a positive trend (p<0.05), whereas October-December (OND) and June-September rainfall exhibited negative trends with p>0.05 and p<0.05, respectively. Positive subtrends in rainfall occurred in the 1950s and from the mid-2000s till 2016; however, negative subtrends existed between 1960 till around 2005. Seasonal evapotranspiration exhibited a positive trend (p>0.05). For the entire period (1948–2016), there was no negative subtrend in the OND and MAM evapotranspiration. Rainfall and evapotranspiration trends and oscillatory variation in subtrends over multidecadal time scales indicate the need for careful planning of predictive adaptation to the impacts of climate variability on environmental applications which depend on water balance in the Mpologoma catchment. It is recommended that future studies quantify possible contributions of human factors on the variability of rainfall and evapotranspiration. Furthermore, climate change impacts on rainfall and evapotranspiration across the study area should be investigated.


2010 ◽  
Vol 119 (3) ◽  
pp. 265-283 ◽  
Author(s):  
E. A. Combalicer ◽  
R. V. O. Cruz ◽  
S. Lee ◽  
S. Im

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