scholarly journals Geospatial Technology Based Water Management Action Plan for South Forest Division of Nilgiris, Tamil Nadu

2021 ◽  
pp. 12-25
Author(s):  
S. Manivannan ◽  
Balaji Kannan ◽  
O. P. S. Khola ◽  
V. Kasthuri Thilagam
Keyword(s):  
Water Management ◽  
Management Strategy ◽  
Field Survey ◽  
Action Plan ◽  
Water Storage ◽  
Check Dam ◽  
Aster Gdem ◽  
Forest Division ◽  
Storage Structures ◽  
Water Management Strategy

Aims: Recent climate change impacts rainfall patterns, increasing wildlife and livestock populations in higher densities, which are likely to aggravate water scarcity in forest areas. A sustainable water management strategy and action plan based on scientific inputs are crucial and need of the hour to resolve the water scarcity problem. Hence, the study aims to prepare an action plan and water management strategy for rangelands of Nilgiris using geospatial tools.  Study Design: Field survey was conducted to identify the existing water storage structures and  water requirement and ASTER GDEM and GIS were used to prepare the water management strategies for Nilgiris south forest division. Place and Duration of the Study: The study was carried out in Nilgiris south division located in between 760 28' 08’’and 760 44' 08" East longitude and 110 10' 81’’and 110 31' 80" North latitude during 2014-2016. Methodology: The study area has been delineated as macro watersheds, and the altitude, slope, forest cover and drainage lines were extracted from ASTER GDEM for generation thematic maps. Rainfall data for twenty years (1995-2014) was collected and runoff was worked out using runoff coefficient of a different land. A field survey was conducted for identifying the existing water storage structures, spatial occupancy of herbivores, spread and water requirement of invasive species in the Nilgiris south forest division. Results: GIS based thematic maps for slope, contour, area coverage under forest range and macro watershed have been prepared, and water availability and water balance components like runoff and evapotranspiration have been determined. After identifying water availability and water balance according to the site conditions and strategies one Earthen cum masonry embankment, 2 Earthen pond with Major check dam, 2 Masonry embankments, 2 Major check dam 7 Medium check dam 100 Minor check dam, 1 RCC Embankment and 99 gabion check dams in South forest division of Nilgiris. Conclusion: Suitable locations were identified and location specific water harvesting structures have been suggested to store 68844 cum of water.

Produced Water Management Strategy and Water Injection Best Practices: Design, Performance, and Monitoring

2007 ◽  
Vol 22 (01) ◽  
pp. 59-68 ◽  
Author(s):  
Ahmed S. Abou-Sayed ◽  
Karim S. Zaki ◽  
Gary Wang ◽  
Manoj Dnyandeo Sarfare ◽  
Martin H. Harris
Keyword(s):  
Water Management ◽  
Best Practices ◽  
Management Strategy ◽  
Produced Water ◽  
Water Injection ◽  
Design Performance ◽  
Water Management Strategy

How could wastewater reuse in China meet the national ambitious water management strategy?

2017 ◽  
Vol 76 ◽  
pp. 319-327
Author(s):  
Wenlong Zhang ◽  
Yi Li ◽  
Chao Wang ◽  
Peifang Wang ◽  
Qing Wang ◽  
...  
Keyword(s):  
Water Management ◽  
Management Strategy ◽  
Wastewater Reuse ◽  
Water Management Strategy

Quantifying snowfall from orographic cloud seeding

2020 ◽  
Author(s):  
Katja Friedrich ◽  
Kyoko Ikeda ◽  
Sarah Tessendorf ◽  
Jeffrey French ◽  
Robert Rauber ◽  
...  
Keyword(s):  
Water Management ◽  
Silver Iodide ◽  
Management Strategy ◽  
Radar Reflectivity ◽  
Cloud Seeding ◽  
Straight Line ◽  
Orographic Clouds ◽  
Increasing Demand ◽  
Orographic Cloud ◽  
Water Management Strategy

<p>Cloud seeding has been used as one water management strategy to overcome the increasing demand for water despite decades of inconclusive results on the efficacy of cloud seeding. In this study snowfall accumulation from glaciogenic cloud seeding is quantified based on snow gauge and radar observations from three days in January 2017, when orographic clouds in the absent of natural precipitation were seeded with silver iodide (AgI) in the Payette basin of Idaho during the Seeded and Natural Orographic Wintertime Clouds: The Idaho Experiment (SNOWIE). On each day, a seeding aircraft equipped with AgI flares flew back and forth on a straight-line flight track producing a zig-zag pattern representing two to eight lines of clouds visible through enhancements in radar reflectivity. As these seeding lines started to form precipitation, they passed over several snow gauges and through the radar observational domain. For the three cases presented here, precipitation gauges measured increases between 0.05-0.3 mm as precipitation generated by cloud seeding pass over the instruments. A variety of relationships between radar reflectivity factor and liquid equivalent snowfall rate were used to quantify snowfall within the radar observation domain. For the three cases, snowfall occurred within the radar observational domain between 25 -160 min producing a total amount of water generated by cloud seeding ranging from 123,220 to 339,540 m3 using the best-match Ze-S relationship. Uncertainties in radar reflectivity estimated snowfall are provided by considering not only the best-match Ze-S relationship but also an ensemble of Ze-S relationships based on the range of coefficients published from previous studies and then examining the percentile of snowfall estimates based on all of the Ze-S relationships within the ensemble. Considering the interquartile range and 5<sup>th</sup>/95<sup>th</sup> percentiles, uncertainties in total amount of water generated by cloud seeding can range between 20-45% compared to the best-math estimates. These results provide new insights towards understanding how cloud seeding impacts precipitation and its distribution across a region.</p>

scholarly journals Integrated urban water resources management strategy for a smart city in India

2020 ◽  
Author(s):  
S. Chandran ◽  
S. R. Thiruchelve ◽  
M. Dhanasekarapandian
Keyword(s):  
Water Management ◽  
Smart City ◽  
Management Strategy ◽  
Water Cycle ◽  
Urban Water ◽  
Urban Water Management ◽  
Local Planning ◽  
Peninsular India ◽  
Integrated Urban Water Management ◽  
Water Management Strategy

Abstract Economic growth of any nation like India depends on growth of cities. In India 31% of total population exists in urban extent. Smart City mission of India was established with the objective to deliver the basic requirements of the citizens in a sustainable manner. Madurai city located at Peninsular India with 1.4 Million population was taken for this study. The objective is to develop an Integrated Urban Water Management Strategy after analysing all the components of Urban Water Cycle such as rainfall, runoff, groundwater and wastewater. The population forecast for 2021 was done for the Local Planning Area (LPA) of 726.34 km2 and the water demand was calculated as 109 Mm3/year. To meet the demand, runoff from the average rainfall was estimated as 393 Mm3/yr using SCS-CN method. The storage capacity in the water bodies to store the Surface water was estimated as 156 Mm3/yr and groundwater recharge potential was estimated as 22 Mm3/yr. The Integrated Urban Water Management strategy developed, shows that there is a huge potential for rainwater storage at the surface level and subsequent recharge through artificial recharge techniques.

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