The surface water retention basins as a tool for new and renewable water and energy sources

2004 ◽  
pp. 91-98
Author(s):  
P Kollias ◽  
V Kollias ◽  
S Kollias
Keyword(s):  
Surface Water ◽  
Water Retention ◽  
Energy Sources ◽  
Retention Basins

Research on the Energy Efficiency Evaluation System for Surface Water Source Heat Pump System in Northeast Cold Region of China

2013 ◽  
Vol 361-363 ◽  
pp. 220-223
Author(s):  
Liang Yu ◽  
Meng Yun Sun ◽  
Guo Hui Feng ◽  
Wei Gao
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Surface Water ◽  
Heat Pump ◽  
Evaluation System ◽  
Renewable Energy Sources ◽  
Rapid Development ◽  
Building Energy ◽  
Energy Sources ◽  
Pump System

As the rapid development of urbanization in China, the conservation of building energy has become a world trend, the rapid rise of building energy will lead a huge pressure on energy supply and environment protection. Renewable energy sources, like solar and geothermal energy, have the incomparable superiority than conventional energy sources, if renewable energy sources could replace conventional energy source and play a major role fully, the serious energy consumption must be relieved effectively. In this thesis, the summer-refrigeration of SWHP (Surface Water Heat Pump) is set as the research target, the applicability research of SWHP is carried out, apart from that, building the evaluation system and putting forward the level determination method of energy efficiency.

scholarly journals Nitrogen surface water retention in the Baltic Sea drainage basin

2014 ◽  
Vol 11 (9) ◽  
pp. 10829-10858 ◽  
Author(s):  
P. Stålnacke ◽  
A. Pengerud ◽  
A. Vassiljev ◽  
E. Smedberg ◽  
C.-M. Mörth ◽  
...  
Keyword(s):  
Surface Water ◽  
Baltic Sea ◽  
Water Retention ◽  
Action Plan ◽  
River Basins ◽  
Lake Area ◽  
The Baltic Sea ◽  
Total N ◽  
N Retention ◽  
The Baltic

Abstract. In this paper, we estimate the surface water retention of nitrogen (N) in all the 117 drainage basins to the Baltic Sea with the use of a statistical model (MESAW) for source apportionment of riverine loads of pollutants. Our results show that the MESAW model was able to estimate the N load at the river mouth of 88 Baltic Sea rivers, for which we had observed data, with a sufficient degree of precision and accuracy. The estimated retention parameters were also statistically significant. Our results show that around 380 000 t of N are annually retained in surface waters draining to the Baltic Sea. The total annual riverine load from the 117 basins to the Baltic Sea was estimated to 570 000 t of N, giving a total surface water N retention of around 40%. In terms of absolute retention values, three major river basins account for 50% of the total retention in the 117 basins; i.e. around 104 000 t of N is retained in Neva, 55 000 t in Vistula and 32 000 t in Oder. The largest retention was found in river basins with a high percentage of lakes as indicated by a strong relationship between N retention (%) and share of lake area in the river drainage areas. For example in Göta älv, we estimated a total N retention of 72%, whereof 67% of the retention occurred in the lakes of that drainage area (Lake Vänern primarily). The obtained results will hopefully enable the Helsinki Commission (HELCOM) to refine the nutrient load targets in the Baltic Sea Action Plan (BSAP), as well as to better identify cost-efficient measures to reduce nutrient loadings to the Baltic Sea.

scholarly journals Nitrogen surface water retention in the Baltic Sea drainage basin

2015 ◽  
Vol 19 (2) ◽  
pp. 981-996 ◽  
Author(s):  
P. Stålnacke ◽  
A. Pengerud ◽  
A. Vassiljev ◽  
E. Smedberg ◽  
C.-M. Mörth ◽  
...  
Keyword(s):  
Surface Water ◽  
Baltic Sea ◽  
Water Retention ◽  
Action Plan ◽  
River Basins ◽  
Lake Area ◽  
The Baltic Sea ◽  
Total N ◽  
N Retention ◽  
The Baltic

Abstract. In this paper, we estimate the surface water retention of nitrogen (N) in all the 117 drainage basins to the Baltic Sea with the use of a statistical model (MESAW) for source apportionment of riverine loads of pollutants. Our results show that the MESAW model was able to estimate the N load at the river mouth of 88 Baltic Sea rivers, for which we had observed data, with a sufficient degree of precision and accuracy. The estimated retention parameters were also statistically significant. Our results show that around 380 000 t of N are annually retained in surface waters draining to the Baltic Sea. The total annual riverine load from the 117 basins to the Baltic Sea was estimated at 570 000 t of N, giving a total surface water N retention of around 40%. In terms of absolute retention values, three major river basins account for 50% of the total retention in the 117 basins; i.e. around 104 000 t of N are retained in Neva, 55 000 t in Vistula and 32 000 t in Oder. The largest retention was found in river basins with a high percentage of lakes as indicated by a strong relationship between N retention (%) and share of lake area in the river drainage areas. For example in Göta älv, we estimated a total N retention of 72%, whereof 67% of the retention occurred in the lakes of that drainage area (Lake Vänern primarily). The obtained results will hopefully enable the Helsinki Commission (HELCOM) to refine the nutrient load targets in the Baltic Sea Action Plan (BSAP), as well as to better identify cost-efficient measures to reduce nutrient loadings to the Baltic Sea.

scholarly journals The analysis of the impact of small retention on water resources in the catchment/ Analiza oddziaływania małej retencji na zasoby wodne zlewni

2014 ◽  
Vol 23 (1) ◽  
pp. 41-51 ◽  
Author(s):  
Waldemar Mioduszewski ◽  
Erik P. Querner ◽  
Zbigniew Kowalewski
Keyword(s):  
Surface Water ◽  
Water Retention ◽  
River Basins ◽  
Simulation Modelling ◽  
Small River ◽  
Water Reservoirs ◽  
Small Water ◽  
River Valleys ◽  
The Impact ◽  
Surface And Groundwater

Abstract The aim of this study was to analyse the impact of selected small water retention measures on surface and groundwater level in river basins. The study was limited to the analysis of measures like small water reservoirs, restoration of bogs and reconstruction of drainage systems in the river valleys. A few study cases were described. Dutch SIMGRO numerical model describing the regional surface water and groundwater flow has been used for simulation modelling of different cases. The result of the study has shown that small retention measures are a good and effective method to increase the ability to retain water in the small river basins. Construction of small water reservoirs and weirs on ditches and creeks and restoration of drained bogs can limit the fast outflow of precipitation and melting water from the catchment. The study has proved that the small water retention measures can be helpful for flood protection and in decreasing of drought threats in small river basins.

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