The Global Climate Change Impact on Water Resources of Armenia

2011 ◽  
pp. 123-129
Author(s):  
Anahit Adanalyan ◽  
Suren Gevorgyan
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Global Climate Change ◽  
Climate Change Impact ◽  
Global Climate ◽  
Change Impact

scholarly journals Water resources change in response to climate change in Changjiang River basin

2010 ◽  
Vol 7 (3) ◽  
pp. 3159-3188 ◽  
Author(s):  
Y. Huang ◽  
W. F. Yang ◽  
L. Chen
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
River Basin ◽  
Climate Change Impact ◽  
Global Climate ◽  
Yangtze River Basin ◽  
Changjiang River ◽  
Runoff Change ◽  
The Future ◽  
Change Impact

Abstract. Doubtlessly, global climate change and its impacts have caught increasing attention from all sectors of the society world-widely. Among all those affected aspects, hydrological circle has been found rather sensitive to climate change. Climate change, either as the result or as the driving-force, has intensified the uneven distribution of water resources in the Changjiang (Yangtze) River basin, China. In turn, drought and flooding problems have been aggravated which has brought new challenges to current hydraulic works such as dike or reservoirs which were designed and constructed based on the historical hydrological characteristics, yet has been significantly changed due to climate change impact. Thus, it is necessary to consider the climate change impacts in basin planning and water resources management, currently and in the future. To serve such purpose, research has been carried out on climate change impact on water resources (and hydrological circle) in Changjiang River. The paper presents the main findings of the research, including main findings from analysis of historical hydro-meteorological data in Changjiang River, and runoff change trends in the future using temperature and precipitation predictions calculated based on different emission scenarios of the 24 Global Climate Modes (GCMs) which has been used in the 4th IPCC assessment report. In this research, two types of macro-scope statistical and hydrological models were developed to simulate runoff prediction. Concerning the change trends obtained from the historical data and the projection from GCMs results, the trend of changes in water resources impacted by climate change was analyzed for Changjiang River. Uncertainty of using the models and data were as well analyzed.

scholarly journals Global climate change: impact of heat waves under different definitions on daily mortality in Wuhan, China

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Yunquan Zhang ◽  
Renjie Feng ◽  
Ran Wu ◽  
Peirong Zhong ◽  
Xiaodong Tan ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Climate Change Impact ◽  
Heat Waves ◽  
Global Climate ◽  
Daily Mortality ◽  
Change Impact

Global climate change: Impact of diurnal temperature range on mortality in Guangzhou, China

2013 ◽  
Vol 175 ◽  
pp. 131-136 ◽  
Author(s):  
Jun Yang ◽  
Hua-Zhang Liu ◽  
Chun-Quan Ou ◽  
Guo-Zhen Lin ◽  
Qin Zhou ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Climate Change ◽  
Climate Change Impact ◽  
Diurnal Temperature Range ◽  
Global Climate ◽  
Diurnal Temperature ◽  
Temperature Range ◽  
Change Impact

scholarly journals Climate change impact on available water resources obtained using multiple global climate and hydrology models

2013 ◽  
Vol 4 (1) ◽  
pp. 129-144 ◽  
Author(s):  
S. Hagemann ◽  
C. Chen ◽  
D. B. Clark ◽  
S. Folwell ◽  
S. N. Gosling ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Climate Change Impact ◽  
Climate Models ◽  
Global Climate ◽  
Future Climate Change ◽  
Available Water ◽  
Hydrological Changes ◽  
Eastern Australia ◽  
Change Impact

Abstract. Climate change is expected to alter the hydrological cycle resulting in large-scale impacts on water availability. However, future climate change impact assessments are highly uncertain. For the first time, multiple global climate (three) and hydrological models (eight) were used to systematically assess the hydrological response to climate change and project the future state of global water resources. This multi-model ensemble allows us to investigate how the hydrology models contribute to the uncertainty in projected hydrological changes compared to the climate models. Due to their systematic biases, GCM outputs cannot be used directly in hydrological impact studies, so a statistical bias correction has been applied. The results show a large spread in projected changes in water resources within the climate–hydrology modelling chain for some regions. They clearly demonstrate that climate models are not the only source of uncertainty for hydrological change, and that the spread resulting from the choice of the hydrology model is larger than the spread originating from the climate models over many areas. But there are also areas showing a robust change signal, such as at high latitudes and in some midlatitude regions, where the models agree on the sign of projected hydrological changes, indicative of higher confidence in this ensemble mean signal. In many catchments an increase of available water resources is expected but there are some severe decreases in Central and Southern Europe, the Middle East, the Mississippi River basin, southern Africa, southern China and south-eastern Australia.

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