How Will Hydroelectric Power Generation Develop under Climate Change Scenarios? A Case Study in the Upper Danube Basin

2016 ◽  
pp. 135-188
Keyword(s):  
Climate Change ◽  
Power Generation ◽  
Climate Change Scenarios ◽  
Hydroelectric Power ◽  
Danube Basin ◽  
Hydroelectric Power Generation

scholarly journals How Will Hydroelectric Power Generation Develop under Climate Change Scenarios? A Case Study in the Upper Danube Basin

Energies ◽  
2011 ◽  
Vol 4 (10) ◽  
pp. 1508-1541 ◽  
Author(s):  
Franziska Koch ◽  
Monika Prasch ◽  
Heike Bach ◽  
Wolfram Mauser ◽  
Florian Appel ◽  
...  
Keyword(s):  
Climate Change ◽  
Power Generation ◽  
Climate Change Scenarios ◽  
Hydroelectric Power ◽  
Danube Basin ◽  
Hydroelectric Power Generation

scholarly journals Potential Impacts of Future Climate Change Scenarios on Ground Subsidence

Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 219 ◽  
Author(s):  
Antonio-Juan Collados-Lara ◽  
David Pulido-Velazquez ◽  
Rosa María Mateos ◽  
Pablo Ezquerro
Keyword(s):  
Climate Change ◽  
Land Subsidence ◽  
Ground Subsidence ◽  
Lower Percentage ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Fine Grained ◽  
Fine Grained Material ◽  
The Impact

In this work, we developed a new method to assess the impact of climate change (CC) scenarios on land subsidence related to groundwater level depletion in detrital aquifers. The main goal of this work was to propose a parsimonious approach that could be applied for any case study. We also evaluated the methodology in a case study, the Vega de Granada aquifer (southern Spain). Historical subsidence rates were estimated using remote sensing techniques (differential interferometric synthetic aperture radar, DInSAR). Local CC scenarios were generated by applying a bias correction approach. An equifeasible ensemble of the generated projections from different climatic models was also proposed. A simple water balance approach was applied to assess CC impacts on lumped global drawdowns due to future potential rainfall recharge and pumping. CC impacts were propagated to drawdowns within piezometers by applying the global delta change observed with the lumped assessment. Regression models were employed to estimate the impacts of these drawdowns in terms of land subsidence, as well as to analyze the influence of the fine-grained material in the aquifer. The results showed that a more linear behavior was observed for the cases with lower percentage of fine-grained material. The mean increase of the maximum subsidence rates in the considered wells for the future horizon (2016–2045) and the Representative Concentration Pathway (RCP) scenario 8.5 was 54%. The main advantage of the proposed method is its applicability in cases with limited information. It is also appropriate for the study of wide areas to identify potential hot spots where more exhaustive analyses should be performed. The method will allow sustainable adaptation strategies in vulnerable areas during drought-critical periods to be assessed.

Short Communication: Climate change and biofuel wheat: A case study of southern Saskatchewan

2012 ◽  
Vol 92 (3) ◽  
pp. 421-425 ◽  
Author(s):  
Hong Wang ◽  
Yong He ◽  
Budong Qian ◽  
Brian McConkey ◽  
Herb Cutforth ◽  
...  
Keyword(s):  
Climate Change ◽  
Grain Yield ◽  
Short Communication ◽  
Weather Data ◽  
Yield Reduction ◽  
Climate Change Scenarios ◽  
Communication Climate ◽  
Stochastic Weather Generator ◽  
Ipcc Sres

Wang, H., He, Y., Qian, B., McConkey, B., Cutforth, H., McCaig, T., McLeod, G., Zentner, R., DePauw, R., Lemke, R., Brandt, K., Liu, T., Qin, X., White, J., Hunt, T. and Hoogenboom, G. 2012. Short Communication: Climate change and biofuel wheat: A case study of southern Saskatchewan. Can. J. Plant Sci. 92: 421–425. This study assessed potential impacts of climate change on wheat production as a biofuel crop in southern Saskatchewan, Canada. The Decision Support System for Agrotechnology Transfer-Cropping System Model (DSSAT-CSM) was used to simulate biomass and grain yield under three climate change scenarios (CGCM3 with the forcing scenarios of IPCC SRES A1B, A2 and B1) in the 2050s. Synthetic 300-yr weather data were generated by the AAFC stochastic weather generator for the baseline period (1961–1990) and each scenario. Compared with the baseline, precipitation is projected to increase in every month under all three scenarios except in July and August and in June for A2, when it is projected to decrease. Annual mean air temperature is projected to increase by 3.2, 3.6 and 2.7°C for A1B, A2 and B1, respectively. The model predicted increases in biomass by 28, 12 and 16% without the direct effect of CO2 and 74, 55 and 41% with combined effects (climate and CO2) for A1B, A2 and B1, respectively. Similar increases were found for grain yield. However, the occurrence of heat shock (>32°C) will increase during grain filling under the projected climate conditions and could cause severe yield reduction, which was not simulated by DSSAT-CSM. This implies that the future yield under climate scenarios might have been overestimated by DSSAT-CSM; therefore, model modification is required. Several measures, such as early seeding, must be taken to avoid heat damages and take the advantage of projected increases in temperature and precipitation in the early season.

Utilization of prosodic and linguistic cues during perceptions of nonunderstandings in radio communication

2016 ◽  
Vol 38 (3) ◽  
pp. 509-539 ◽  
Author(s):  
JAIME C. AUTON ◽  
MARK W. WIGGINS ◽  
BEN J. SEARLE ◽  
NAN XU RATTANASONE
Keyword(s):  
Power Generation ◽  
High Risk ◽  
Distributed Environments ◽  
Hydroelectric Power ◽  
Verbal Instruction ◽  
Radio Communication ◽  
Risk Environments ◽  
Prosodic Cues ◽  
Linguistic Cues ◽  
Hydroelectric Power Generation

ABSTRACTThe readback/hearback loop is a communicative protocol used in many high-risk environments to ensure that a verbal instruction has been heard correctly by a receiver. However, it does not necessarily ensure that an instruction has been understood. Using an international sample of hydroelectric power generation controllers, this study examined whether particular linguistic (complete and partial readbacks) and prosodic (final intonation, filler, and interturn delay) cues contained within a readback response could signal to listeners the extent to which speakers had understood an instruction. The results indicated that different prosodic cues are used to detect nonunderstandings, depending upon the linguistic content of the readback. The results have implications for training and system design in distributed environments.

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