scholarly journals Artificial destratification for reducing reservoir water evaporation: Is it effective?

2018 ◽  
Vol 23 (4) ◽  
pp. 333-350 ◽  
Author(s):  
Fernanda Helfer ◽  
Fernando P. Andutta ◽  
José A. Louzada ◽  
Hong Zhang ◽  
Charles Lemckert
Keyword(s):  
Water Evaporation ◽  
Reservoir Water ◽  
Artificial Destratification

Probabilistic modeling of the water availability in a large surface reservoir in the Netherlands

2020 ◽  
Author(s):  
Ruud Hurkmans ◽  
Chris Geerse ◽  
Bastiaan Kuijper ◽  
Durk Klopstra ◽  
Bas de Jong ◽  
...  
Keyword(s):  
The Netherlands ◽  
Water Availability ◽  
Water Reservoir ◽  
Open Water ◽  
High Water ◽  
Water Model ◽  
Water Evaporation ◽  
Water Shortages ◽  
Reservoir Water ◽  
Dry Spells

<p>During dry spells, a large part of the Netherlands depends on water from the IJssel lake, a large surface water reservoir. Water is extracted for a number of purposes, such as irrigation, water quality, shipping and drinking water. Besides local precipitation, the main source of water flowing into the lake is the river IJssel; a distributary of the Rhine. During periods of low discharge and low precipitation, water shortages may occur, as the recent summer of 2018 showed. ​We develop a probabilistic model to simulate water availability in the lake during dry spells. We derive marginal distributions of precipitation, open water evaporation, river discharge and water intake from the surrounding region, based on a 101-year simulation of the deterministic Dutch national water model. We assess the plausibility of the resulting extreme tail of the distributions by comparing them to values based on the ECWMF seasonal reforecasting archive, which, when all ensemble members, years and lead times are combined, contains over 4,000 years of data. All correlations between the four terms are modeled using a four-dimensional copula. The resulting distributions of water availability show aggregated water shortages up to extremely dry (return periods in excess of 10,000 years) conditions. Lake level dynamics are, during dry conditions, dominated by high water demand from the surrounding region (caused by lack of local precipitation) and low IJssel river discharges. A coincidence of these two terms causes the most extreme shortages. Because model is conceptually relatively simple, it is able to run a large number of realizations and is potentially highly suitable for, for example, assessment of measure effectiveness.</p><p> </p>

Drinking water quality and protection of resources

2010 ◽  
Vol 1 (1-2) ◽  
pp. 51-54
Author(s):  
J. Fettig
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Resources ◽  
River Water ◽  
Spring Water ◽  
Public Water Supply ◽  
Legal Requirements ◽  
Reservoir Water ◽  
Water Lake ◽  
Treatment Step

Abstract The structure of public water supply in Germany and the water resources used are briefly described. An overview over the legal requirements for drinking water is given, and the sources for contaminants are outlined. Then the multiple-barrier approach is discussed with respect to the resources groundwater and spring water, lake and reservoir water, and river water. Examples for treatment schemes are given and the principle of subsurface transport of river water as a first treatment step is described.

Kinetics of Water Evaporation from Emulsions

2005 ◽  
Vol 36 (5) ◽  
pp. 425-430 ◽  
Author(s):  
A. M. Pavlenko ◽  
B. I. Basok
Keyword(s):  
Water Evaporation ◽  
Kinetics Of

Evaluation of Capacity of Salandi Reservoir Using Remote Sensing Data Along With Qgis Software

2018 ◽  
Vol 6 (8) ◽  
pp. 339
Author(s):  
Rupali Dhal ◽  
D. P. Satapathy
Keyword(s):  
Remote Sensing ◽  
Satellite Data ◽  
Remote Sensing Data ◽  
Project Work ◽  
Space Technology ◽  
Reservoir Water ◽  
Sediment Distribution ◽  
Sensing Data ◽  
Spread Area ◽  
Water Spread

The dynamic aspects of the reservoir which are water spread, suspended sediment distribution and concentration requires regular and periodical mapping and monitoring. Sedimentation in a reservoir affects the capacity of the reservoir by affecting both life and dead storages. The life of a reservoir depends on the rate of siltation. The various aspects and behavior of the reservoir sedimentation, like the process of sedimentation in the reservoir, sources of sediments, measures to check the sediment and limitations of space technology have been discussed in this report. Multi satellite remote sensing data provide information on elevation contours in the form of water spread area. Any reduction in reservoir water spread area at a specified elevation corresponding to the date of satellite data is an indication of sediment deposition. Thus the quality of sediment load that is settled down over a period of time can be determined by evaluating the change in the aerial spread of the reservoir at various elevations. Salandi reservoir project work was completed in 1982 and the same is taken as the year of first impounding. The original gross and live storages capacities were 565 MCM& 556.50 MCM respectively. In SRS CWC (2009), they found that live storage capacity of the Salandi reservoir is 518.61 MCM witnessing a loss of 37.89 MCM (i.e. 6.81%) in a period of 27 years.The data obtained through satellite enables us to study the aspects on various scales and at different stages. This report comprises of the use of satellite to obtain data for the years 2009-2013 through remote sensing in the sedimentation study of Salandi reservoir. After analysis of the satellite data in the present study(2017), it is found that live capacity of the reservoir of the Salandi reservoir in 2017 is 524.19MCM witnessing a loss of 32.31 MCM (i.e. 5.80%)in a period of 35 years. This accounts for live capacity loss of 0.16 % per annum since 1982. The trap efficiencies of this reservoir evaluated by using Brown’s, Brune’s and Gill’s methods are 94.03%, 98.01and 99.94% respectively. Thus, the average trap efficiency of the Salandi Reservoir is obtained as 97.32%.

STUDYING THE PROCESS OF WATER EVAPORATION WITH OF CASTOR OIL IN ELECTRIC FIELD OF MULTI-ELECTRODE SYSTEMS

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
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Keyword(s):  
Electric Field ◽  
Castor Oil ◽  
Water Evaporation ◽  
Electrode Systems
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