scholarly journals DETERMINATION OF SOME MARINE METEOROLOGICAL EXTREME VALUES AND ITS RELATION WITH DISTRIBUTION OF SURFACE WATER RESOURCES ON THE LY SON ISLAND

2018 ◽  
Vol 17 (4) ◽  
pp. 353-363
Author(s):  
Bui Xuan Thong ◽  
Le Tuan Dat ◽  
Truong Viet Chau
Keyword(s):  
Climate Change ◽  
Surface Water ◽  
Water Resources ◽  
Sea Level ◽  
Air Temperature ◽  
Extreme Values ◽  
Meteorological Data ◽  
Water Volume ◽  
Surface Water Resources ◽  
Per Capita

Climate change in terms of marine meteorological extreme values has direct impact on distribution of surface water resources on the island. Based on a series of marine meteorological data collected in the period 1985 - 2012 at the Ly Son station we have determined some extreme values such as maximum precipitation, evaporation, air temperature, sea level and other oceanographic elements. The present study tries to reveal some relationships between marine meteorological extreme values and distribution of surface water resources under condition of Ly Son island. The precipitation of < 50 mm, 50 - 100 mm and > 100 mm has the frequency of 57.8%, 20.7%, and 21.5% respectively. Due to climate change, the air temperature has the increasing tendency for all three states of medium, maximum and minimum values. Sea level and other oceanographic phenomena also have the increasing tendency. The calculation results show that the average annual surface runoff is 13.9 million m3/year and the water volume per capita reaches 678 m3/person/year. According to criteria of International Water Resources Association, a country with a water volume per capita off less than 4,000 m3/person/year is considered as country of water shortage.

scholarly journals Assessing the Impacts of Climate Change on Surface Water Resources Using WEAP Model in Narok County, Kenya

2022 ◽  
Vol 3 ◽  
Author(s):  
A. O. Opere ◽  
Ruth Waswa ◽  
F. M. Mutua
Keyword(s):  
Climate Change ◽  
Surface Water ◽  
Water Resources ◽  
Goodness Of Fit ◽  
Meteorological Data ◽  
Coefficient Of Determination ◽  
Climate Projections ◽  
Climate Change Scenarios ◽  
Time Step ◽  
Surface Water Resources

Narok County in Kenya is the home to the Maasai Mara Game Reserve, which offers important habitats for a great variety of wild animals, hence, a hub for tourist attraction, earning the county and country an extra income through revenue collection. The Mau Forest Complex in the north is a source of major rivers including the Mara River and a water catchment tower that supports other regions as well. Many rivers present in the region support several activities and livelihood to the people in the area. The study examined how the quantity of surface water resources varied under the different climate change scenarios, and the sensitivity of the region to a changing climate. Several datasets used in this study were collated from different sources and included hydro–meteorological data, Digital Elevation Model (DEM), and Coordinated Regional Downscaling Experiment (CORDEX) climate projections. The WEAP (Water Evaluation and Planning) model was applied using the rainfall–runoff (soil moisture method) approach to compute runoff generated with climate data as input. All the calculations were done on a monthly time step from the current year account to the last year of the scenario. Calibration of the model proceeded using the PEST tool within the WEAP interface. The goodness of fit was evaluated using the coefficient of determination (R2), percentage bias (PBIAS), and Nash–Sutcliffe efficiency (NSE) criterion. From the tests, it was clear that WEAP performed well in simulating stream flows. The coefficient of determination (R2) was greater than the threshold R2 &gt; 0.5 in both periods, i.e., 0.83 and 0.97 for calibration and validation periods, respectively, for the monthly flows. A 25-year mean monthly average was chosen with two time slices (2006–2030 and 2031–2055), which were compared against the baseline (1981–2000). There will be a general decrease in water quantity in the region in both scenarios: −30% by 2030 and −23.45% by 2055. In comparison, RCP4.5 and Scenario3 (+2.5°C, +10% P) were higher than RCP8.5 and Scenario 2 respectively. There was also a clear indication that the region was highly sensitive to a perturbation in climate from the synthetic scenarios. A change in either rainfall or temperature (or both) could lead to an impact on the amount of surface water yields.

Impact of Climate Change on Water Resources in the Shiyang River Basin and the Adaptive Measures for Energy Conservation and Emission Reduction

2013 ◽  
Vol 405-408 ◽  
pp. 2167-2171 ◽  
Author(s):  
Zhou Li ◽  
Xiao Yan Li ◽  
Juan Sun
Keyword(s):  
Climate Change ◽  
Surface Water ◽  
Water Resources ◽  
Energy Conservation ◽  
Climate Change Impacts ◽  
Warming Trend ◽  
Annual Runoff ◽  
Climate Scenarios ◽  
Surface Water Resources ◽  
Precipitation And Temperature

Climate is an important factor which formed and affected surface water resources. Through sensitivity analysis of natural runoff towards climate change, assuming the main factors effect runoff are precipitation and temperature, then according to the possible tendency of climate changes in the future, set climate scenarios, and use the hydrological model simulate the changes trend of runoff under different climate scenarios, thereby analyze the climate change impacts on surface water resources. The results show that annual runoff will be increased with the increasing annual precipitation, and it will be reduced with rise of annual temperature, the sensitivity that annual runoff towards the change of precipitation and temperature are equally notable, both of them are two major factors impact on the change of runoff and the precipitation change impacts on annual runoff will be even more obvious in flood season. Last, with the global warming trend, put forward the corresponding adaptive measures of energy conservation and emissions reduction。

scholarly journals Simulating Climate Change Impacts on Surface Water Resources Within a Lake‐Affected Region Using Regional Climate Projections

2019 ◽  
Vol 55 (1) ◽  
pp. 130-155 ◽  
Author(s):  
Andre R. Erler ◽  
Steven K. Frey ◽  
Omar Khader ◽  
Marc d'Orgeville ◽  
Young‐Jin Park ◽  
...  
Keyword(s):  
Climate Change ◽  
Surface Water ◽  
Water Resources ◽  
Regional Climate ◽  
Climate Change Impacts ◽  
Climate Projections ◽  
Surface Water Resources ◽  
Regional Climate Projections

Climate change impacts on surface water resources in the Rheraya catchment (High Atlas, Morocco)

2017 ◽  
Vol 62 (6) ◽  
pp. 979-995 ◽  
Author(s):  
Ahmed Marchane ◽  
Yves Tramblay ◽  
Lahoucine Hanich ◽  
Denis Ruelland ◽  
Lionel Jarlan
Keyword(s):  
Climate Change ◽  
Surface Water ◽  
Water Resources ◽  
Climate Change Impacts ◽  
High Atlas ◽  
Surface Water Resources

Spatial and Temporal Responses of Lakes in Northern Mongolia to Climate Change

2021 ◽  
Author(s):  
Alexander Orkhonselenge ◽  
Dashtseren Gerelsaikhan ◽  
Tuyagerel Davaagatan
Keyword(s):  
Climate Change ◽  
Surface Water ◽  
Air Temperature ◽  
Summer Precipitation ◽  
Water Dynamics ◽  
Lake Area ◽  
Mongolian Altai ◽  
Surface Water Resources ◽  
Northern Mongolia ◽  
Lake Basins

&lt;p&gt;Lakes play a valuable role in the surface water resources of Mongolia. Understanding surface water dynamics and climate change over various spatiotemporal scales from local to regional are essential in Mongolia today. This study presents how lakes in the Mongolian Altai, Khuvsgul, and Khentii Mountain Ranges at high latitudes in northern Mongolia responded to the climate change during the past 50 years. The temporal trend shows that the lakes had extended in the area during the first three decades but reduced during the last two decades. However, Lakes Khoton and Khurgan in the Mongolian Altai and Lake Khangal in the Khentii increased in the area during 1970&amp;#8211;2000 and since 2010, but decreased from 2000 to 2010. Lake Tolbo in the Mongolian Altai dropped in the area during 1970&amp;#8211;2000, and continuously increased since 2000. Whereas Lakes Erkhel and Khargal in the Khuvsgul and Lake Gurem in the Khentii extended in 1970&amp;#8211;2000 but reduced during 2000&amp;#8211;2020. The spatial trend in lake area changes shows similar patterns for glacial lakes at an elevation above 2000 m a.s.l. in the Mongolian Altai and for tectonic and fluvial lakes at an elevation below 1500 m a.s.l. in the Khuvsgul and Khentii. Anomalies of seasonal variations in air temperature and precipitation in the lake basins show that the Lake Khangal basin in the Khentii is warmer and wetter than other lake basins. Moreover, the Lake Khargal basin in the Khuvsgul is cooler in winter and autumn but warmer in spring and summer compared to the basins. Whereas Lakes Tolbo, Khoton, and Khurgan basins in the Mongolian Altai are drier than others. The correlation analysis shows that hydrological dynamics of Lake Khargal in the Khuvsgul are strongly dependent on summer precipitation (r = 0.71), and autumn (r = 0.67) and summer (r = 0.47) air temperatures. However, the linear regression shows that the lake area is moderately related to the summer precipitation (R&lt;sup&gt;2&lt;/sup&gt; = 0.5318) and the autumn air temperature (R&lt;sup&gt;2&lt;/sup&gt; = 0.4555). Overall, the lakes in northern Mongolia show the distinct responses of hydrological dynamics to the changing climate depending on their physiographic conditions.&lt;/p&gt;

Climate change impacts on surface water resources in the Oued El Abid basin, Morocco

2021 ◽  
Author(s):  
El Mahdi El Khalki ◽  
Yves Tramblay ◽  
Lahoucine Hanich ◽  
Ahmed Marchane ◽  
Abdelghani Boudhar ◽  
...  
Keyword(s):  
Climate Change ◽  
Surface Water ◽  
Water Resources ◽  
Climate Change Impacts ◽  
Surface Water Resources
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