Identifying Water Harvesting Sites In Watrak River Basin Using GIS Technologies And Considering Equity Measures

2020 ◽  
Vol 33 (02) ◽  
Author(s):  
Kamalkumar P Jasodani ◽  
◽  
Dr. Pradeep P Lodha ◽  
Keyword(s):  
River Basin ◽  
Water Harvesting ◽  
Gis Technologies ◽  
Equity Measures

scholarly journals DETERMINATION OF THE RUNOFF CHARACTERISTICS OF THE YESIL RIVER BASIN BASED ON GIS TECHNOLOGIES

2021 ◽  
Vol 2 (446) ◽  
pp. 74-81
Author(s):  
K. K. Duskayev ◽  
A.K. Mussina ◽  
M.S. Ospanova ◽  
A.T. Bazarbek ◽  
M.G. Macklin
Keyword(s):  
River Basin ◽  
Water Resource Management ◽  
Policy Decision ◽  
Runoff Coefficient ◽  
Gis Technologies ◽  
Information Gap ◽  
Lakes And Reservoirs ◽  
Policy Decision Making ◽  
Gap Data

The article examines the effectiveness of GIS-technologies in Kazakhstan for determining and clarifying hydrographic characteristics (e.g. catchment area, river length, location, lakes and reservoirs), the analysis of hydrological processes and phenomena, as well as the creation of a cartographic and attributive database of water bodies. Yesil River, the main waterway of the central and northern part of Kazakhstan, is one of the least hydro- logically studied catchments in the region. To address this research and information gap data was obtained from remote sensing and runoff depth based on the Kazhydromet network for the period 1945 to 2016. A topographic and river network map (1:1,000,000) of the Yesil River basin, including locations of gauging stations as well as depth and runoff coefficient maps were created using ArcGIS software. These maps provide a very useful tool for water resource management and economic policy decision making.

scholarly journals Water availability, water demand, and reliability of in situ water harvesting in smallholder rain-fed agriculture in the Thukela River Basin, South Africa

2009 ◽  
Vol 6 (4) ◽  
pp. 4919-4959 ◽  
Author(s):  
J. C. M. Andersson ◽  
A. J. B. Zehnder ◽  
G. P. W. Jewitt ◽  
H. Yang
Keyword(s):  
South Africa ◽  
River Basin ◽  
Water Availability ◽  
Assessment Tool ◽  
Water Productivity ◽  
Water Harvesting ◽  
Crop Water ◽  
Water Demands ◽  
Crop Water Productivity

Abstract. Water productivity in smallholder rain-fed agriculture is of key interest for food and livelihood security. A frequently advocated approach to enhance water productivity is to adopt water harvesting and conservation technologies (WH). This study estimates water availability for in situ WH and supplemental water demands (SWD) in smallholder agriculture in the Thukela River Basin, South Africa. It incorporates process dynamics governing runoff generation and crop water demands, an explicit account of the reliability of in situ WH, and uncertainty considerations. The agro-hydrological model SWAT (Soil and Water Assessment Tool) was calibrated and evaluated with the SUFI-2 algorithm against observed crop yield and discharge in the basin. The water availability was based on the generated surface runoff in smallholder areas. The SWD was derived from a scenario where crop water deficits were met from an unlimited external water source. The reliability was calculated as the percentage of years in which the water availability ≥ the SWD. It reflects the risks of failure induced by the temporal variability in these factors. The results show that the smallholder crop water productivity is low in the basin (spatiotemporal median: 0.08–0.22 kg m−3, 95% prediction uncertainty band (95PPU). Water is available for in situ WH (spatiotemporal median: 0–17 mm year−1, 95PPU) which may aid in enhancing the crop water productivity by meeting some of the SWD (spatiotemporal median: 0–113 mm year−1, 95PPU). However, the reliability of in situ WH is highly location specific and overall rather low. Of the 1850 km2 of smallholder lands, 20–28% display a reliability ≥25%, 13–16% a reliability ≥50%, and 4–5% a reliability ≥75% (95PPU). This suggests that the risk of failure of in situ WH is relatively high in many areas of the basin.

scholarly journals Calculation of the River Network of Flooded Areas with a Univariate Model upon Water Posts Maximal Levels According to the Sura River SKIOVO (Scheme of Water Bodies Integrated Use and Protection) Experience

2010 ◽  
Author(s):  
Keyword(s):  
River Basin ◽  
Hydrodynamic Model ◽  
River Network ◽  
Water Levels ◽  
Water Bodies ◽  
Topographic Maps ◽  
Braided River ◽  
Gis Technologies ◽  
Flooded Area ◽  
Flooded Areas

A method of the flooded area calculation with an invariate model of a braided river network upon maximal water levels of different expected probability known for water-measuring stations has been presented. This method application has been demonstrated in conjunction with implementation of the “Scheme of water bodies integrated use and protection” for the Sura River basin with the use of GIS-technologies and digital topographic maps of 1:100 000 scale for derivation of the relief model and the river basin network hydrodynamic model, for identification of flooded zones and protected areas on the territory of the basin.

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