Literature DB >> 29260336

Development of a HEC-HMS-based watershed modeling system for identification, allocation, and optimization of reservoirs in a river basin.

R Srinivas1, Ajit Pratap Singh2, Anirban Deshmukh1.   

Abstract

One of the primary objectives of river basin planning and management is to assess the behavior of the river towards man-made and natural changes. In recent times, the self-purifying capacity of the river is found to be substantially affected because of extensive use of water for agricultural and industrial purposes. Any variation in the flow regime of a river poses a severe impact on the aquatic ecosystem, which affects its self-purifying capacity. Diverting river water for industrial and agricultural uses through dams and barrages reduces the natural flow rate of the river. The present study develops a novel approach by coupling Watershed Modeling System (WMS ver. 10.1) with linear optimization to provide an alternate means of water supply for such users. To explain the effectiveness of the model, a case study on the Ganges river basin of India has been considered. The ecosystem of the Ganges provides such a magnificent biological fabric, that its self-purifying capacity exceeds that of any other river water across the globe. However, the industries found in the river's most polluted stretch consume around 1200 million liters of water every day. In addition, 80% of the river water diverts at Narora barrage for agricultural purposes. As a result, the flow of the river in dry seasons is as less as 300 m3/s. The study suggests the need to develop economically feasible and efficient storage reservoirs to store the rainwater, which can be used to supply industrial and agricultural needs. The WMS software is used to acquire the watershed basin, outlet location, simulated runoff volume, proposed reservoir site, and the hydrograph using the monitored rainfall data of 5 years (2010-2014). The simulated runoff volume is then used to develop an optimization model to determine the required capacity of each reservoir using LINGO software (ver. 16.0). Four different storage reservoirs are proposed in the selected industrial sites of Unnao district, Uttar Pradesh, India. These reservoirs can supply the needs of industries, and thus reducing their dependency on the river Ganges. The model developed herein acts as an effective tool for giving a possible solution to large-scale water supply problems in the river basins, and also guides the decision makers towards restoring the stream flow.

Entities:  

Keywords:  Rainfall-runoff monitoring; Reservoir optimization; River basin; River discharge; Storage capacity; Watershed modeling

Mesh:

Year:  2017        PMID: 29260336     DOI: 10.1007/s10661-017-6418-0

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Short-term versus long-term rainfall time series in the assessment of potable water savings by using rainwater in houses.

Authors:  Enedir Ghisi; Karla Albino Cardoso; Ricardo Forgiarini Rupp
Journal:  J Environ Manage       Date:  2012-02-28       Impact factor: 6.789

2.  Application of watershed modeling system (WMS) for integrated management of a watershed in Turkey.

Authors:  Ali Erturk; Melike Gurel; Mansoor Ahmed Baloch; Teoman Dikerler; Evren Varol; Neslihan Akbulut; Aysegul Tanik
Journal:  J Environ Sci Health A Tox Hazard Subst Environ Eng       Date:  2006       Impact factor: 2.269

  2 in total
  1 in total

1.  Holistic approach for quantification and identification of pollutant sources of a river basin by analyzing the open drains using an advanced multivariate clustering.

Authors:  R Srinivas; Ajit Pratap Singh; Ayush Aman Gupta; Piyush Kumar
Journal:  Environ Monit Assess       Date:  2018-11-14       Impact factor: 2.513

  1 in total

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