scholarly journals Deriving Operation Policy for Multiple Reservoir System under Irrigation using LPM Model

2019 ◽  
Vol 8 (4) ◽  
pp. 4487-4496
Keyword(s):  
Linear Programming ◽  
Water Resources ◽  
Reservoir Operation ◽  
Optimization Technique ◽  
Mitigation Measures ◽  
Command Area ◽  
Net Income ◽  
Reservoir System ◽  
Irrigation Intensity ◽  
Multiple Reservoir

The specified multiple reservoir system is located in the Rajkot district part of Gujarat. As it witnesses fewer, severe, moderate or normal drought, drought mitigation measures and proper reservoir operation policy should help to reduced acute shortage of water for irrigation as well as water supply. It is also observed that improper water resources management has resulted in reduced yield of crop and hence net income of farmers. The linear programming (LP) as optimization technique practical and practicable optimizes water resources system, Because of its simplicity and easily solved by using computer software LINGO. Therefore, it has vital significance to implement in day to day practice of reservoir operation by water resources planning and management sector. The linear programming monthly (LPM) models developed for different nine dependability levels of inflow for multiple as well as individual reservoir operations to derive maximum net benefit (NB) over year from command area. Most of reservoir operated at 75% dependability level in normal year. The NB and total optimal crop area increased by 4.2% and 8.0 % respectively in multiple reservoirs operation as compared to individual reservoir operation at 75% dependability level of inflow. The irrigation intensity is increased in command area of Nyari-2, Aji-3 reservoir in multiple reservoir operation as compared to individual reservoir operation due to augmentation of low cost, low water requiring crops (Rajko, Juvar/Bajry/Maize, Wheat, and Onion) which will reduce impact of drought in locality. Based on the results, it is concluded that reservoirs are operated in multiple reservoir systems at 75% dependability level of inflow and derived optimum operation policy for optimum utilization of limited freshwater of the reservoir in a drought-prone area.

Development of sustainable irrigation planning with multi-objective fuzzy linear programming for Ukai–Kakrapar irrigation project, Gujarat, India

2013 ◽  
Vol 40 (7) ◽  
pp. 663-673 ◽  
Author(s):  
A.B. Mirajkar ◽  
P.L. Patel
Keyword(s):  
Linear Programming ◽  
Water Resources ◽  
Fuzzy Linear Programming ◽  
Exceedance Probability ◽  
Command Area ◽  
Irrigation Planning ◽  
Multi Objective ◽  
Irrigation Project ◽  
Conflicting Objectives ◽  
Inflow Conditions

Multi-objective fuzzy linear programming (MOFLP) approach is applied with four conflicting objectives, viz maximization of net benefits, employment generation, minimization of cost of cultivation and maximization of revenue generation from municipal and industrial supplies (M and I), on a water resources project (Ukai), Gujarat, India. The results from the model are reported for the most critical year (90% exceedance probability), critical year (85% exceedance probability), normal year (75% exceedance probability), and wet year (60% exceedance probability) inflow conditions. The degree of satisfaction of the proposed MOFLP model, considering all objectives together, for wet year, normal year, critical year and most critical year are found to be 0.527, 0.515, 0.50, and 0.46 respectively; and corresponding net irrigation benefits for different inflow conditions are computed as 10 611.91 Million Rs, 10 476.67 Million Rs, 8 311.0044 Million Rs, and 6 900.051 Million Rs, respectively. The proposed MOFLP model indicated that probable inflow corresponding to 75% dependability level is marginally sufficient to meet the requirement of the study area, and water availability becomes deficit in the command area for 85% dependability inflow condition. The optimized crop areas from the model, complying with the requirement of existing flood rules, and satisfying relevant conflicting objectives would help the decision makers in sustainable management of water resources in Ukai command area.

Genetic algorithm-based optimization of water resources allocation under drought conditions

2010 ◽  
Vol 10 (4) ◽  
pp. 517-525 ◽  
Author(s):  
Z. Rao ◽  
D. Debski ◽  
D. Webb ◽  
R. Harpin
Keyword(s):  
Genetic Algorithms ◽  
Water Resources ◽  
Optimization Technique ◽  
Severe Drought ◽  
Water Resource System ◽  
Drought Conditions ◽  
Scarce Water ◽  
Operating Strategies ◽  
Multiple Reservoir ◽  
City Of London

The efficient allocation of increasingly scarce water resources is a growing challenge worldwide, particularly during times of drought. This paper describes the development and application of an innovative technique to optimize the allocation of raw water supply to the city of London, UK during a period of drought in 2006. Using genetic algorithms, an optimization tool was developed to derive near-optimal operating strategies for the water company's multiple reservoir system for different projected rainfall scenarios and also to test the robustness of drought contingency strategies for operating the reservoirs down to a lower level under a severe drought condition. The project demonstrated that this approach is rigorous yet practical, the optimization technique is robust and effective and that optimal water allocation is an efficient measure to overcome water scarcity under drought conditions and mitigate consequent impacts. The potential application of genetic algorithms to the day to day operation of a complex water resource system represents a step-change in the industry's approach to managing such systems.

Multi-Objective Fuzzy Linear Programming for Land Allocation under Different Crops in Bhagwanpur Distributary

2019 ◽  
Vol 6 (04) ◽  
Author(s):  
ASHUTOSH UPADHYAYA
Keyword(s):  
Linear Programming ◽  
Crop Production ◽  
Fuzzy Linear Programming ◽  
Programming Method ◽  
Command Area ◽  
Linear Programming Method ◽  
Net Return ◽  
Multi Objective ◽  
Labour Requirement ◽  
Canal Command Area

A study was undertaken in Bhagwanpur distributary of Vaishali Branch Canal in Gandak Canal Command Area, Bihar to optimally allocate land area under different crops (rice and maize in kharif, wheat, lentil, potato in rabi and green gram in summer) in such a manner that maximizes net return, maximizes crop production and minimizes labour requirement employing simplex linear programming method and Multi-Objective Fuzzy Linear Programming (MOFLP) method. Maximum net return, maximum agricultural production, and minimum labour required under defined constraints (including 10% affinity level of farmers to rice and wheat crops) as obtained employing Simplex method were ` 3.7 × 108, 5.06 × 107 Kg and 66,092 man-days, respectively, whereas Multi-Objective Fuzzy Linear Programming (MOFLP) method yielded compromised solution with net return, crop production and labour required as ` 2.4 × 108, 3.3 × 107Kg and 1,79,313 man-days, respectively. As the affinity level of farmers to rice and wheat crops increased from 10% to 40%, maximum net return and maximum production as obtained from simplex linear programming method and MOFLP followed a decreasing trend and minimum labour required followed an increasing trend. MOFLP may be considered as one of the best capable ways of providing a compromised solution, which can fulfill all the objectives at a time.

scholarly journals A Review of SWAT Model Application in Africa

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1313
Author(s):  
George Akoko ◽  
Tu Hoang Le ◽  
Takashi Gomi ◽  
Tasuku Kato
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Resources ◽  
Hydrological Modeling ◽  
Assessment Tool ◽  
Swat Model ◽  
Data Availability ◽  
Mitigation Measures ◽  
Model Parameterization ◽  
Basin Scale

The soil and water assessment tool (SWAT) is a well-known hydrological modeling tool that has been applied in various hydrologic and environmental simulations. A total of 206 studies over a 15-year period (2005–2019) were identified from various peer-reviewed scientific journals listed on the SWAT website database, which is supported by the Centre for Agricultural and Rural Development (CARD). These studies were categorized into five areas, namely applications considering: water resources and streamflow, erosion and sedimentation, land-use management and agricultural-related contexts, climate-change contexts, and model parameterization and dataset inputs. Water resources studies were applied to understand hydrological processes and responses in various river basins. Land-use and agriculture-related context studies mainly analyzed impacts and mitigation measures on the environment and provided insights into better environmental management. Erosion and sedimentation studies using the SWAT model were done to quantify sediment yield and evaluate soil conservation measures. Climate-change context studies mainly demonstrated streamflow sensitivity to weather changes. The model parameterization studies highlighted parameter selection in streamflow analysis, model improvements, and basin scale calibrations. Dataset inputs mainly compared simulations with rain-gauge and global rainfall data sources. The challenges and advantages of the SWAT model’s applications, which range from data availability and prediction uncertainties to the model’s capability in various applications, are highlighted. Discussions on considerations for future simulations such as data sharing, and potential for better future analysis are also highlighted. Increased efforts in local data availability and a multidimensional approach in future simulations are recommended.

scholarly journals Online Command Area Water Resource Management System

2020 ◽  
Vol 5 (2) ◽  
pp. 70-74
Author(s):  
P. Pallavi ◽  
Shaik Salam
Keyword(s):  
Remote Sensing ◽  
Resource Management ◽  
Water Resources ◽  
Water Resource ◽  
Water Resource Management ◽  
Management Practices ◽  
Web Gis ◽  
Command Area ◽  
Space Technology ◽  
Server Side

Water is an important, but often ignored element in sustainable development by now it has been clear that urgent action is needed to avoid global water crisis. Water resource management is the activity of planning, developing, distributing and managing the optimum use of water resources. Successful management of water resources requires accurate knowledge of their resource distribution to meet up the competing demands and mechanisms to make good decisions using advanced recent technologies.Towards evolving comprehensive management plan in suitable conservation and utilization of water resources space technology plays a crucial role in managing country’s available water resources. Systematic approaches involving judicious combination of conventional server side scripting programming and remote sensing techniques pave way for achieving optimum planning and operational of water resources projects.   new methodologies and 24/7 accessible system need to be built, these by reducing the dependency on complex infrastructure an specialist domain Open source web GIS systems have proven their rich in application of server side scripting and easy to use client application tools. Present study and implementation aims to provide wizard based or easily driven tools online for command area management practices. In this large endeavour modules for handling remote sensing data, online raster processing, statistics and indices generation will be developed.

Impact of Climate Change on Water Resources in Eastern Africa

2019 ◽  
pp. 199-227 ◽  
Author(s):  
Alfred Opere ◽  
Anne Omwoyo ◽  
Purity Mueni ◽  
Mark Arango
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Stream Flow ◽  
Climate Change Impacts ◽  
Equatorial Region ◽  
Eastern Africa ◽  
Mitigation Measures ◽  
Future Climate Change ◽  
Grazing Land ◽  
Groundwater Aquifers

Climate change is causing great impact on water resources in Eastern Africa, and there is need to establish and implement effective adaptation and mitigation measures. According to IPCC, less rainfall during the months that are already dry could increase drought as well as precipitation, and this has great impact on both permanent and seasonal water resources. Increased sea surface temperature as a result of climate change could lead to increased drought cases in Eastern African and entire equatorial region. Climate change will also result in annual flow reduction in various river resources available within the region such as the Nile River. IPCC predicts that rainfall will decrease in the already arid areas of the Horn of Africa and that drought and desertification will become more widespread, and as a result, there will be an increased scarcity of freshwater even as groundwater aquifers are being mined. Wetland areas are also being used to obtain water for humans and livestock and as additional cultivation and grazing land. This chapter reviews the climate change impacts on water resources within the Eastern Africa Region. The climate change impacts on different water resources such as Ewao Ngiro have been highlighted and projection of future climate change on water resources examined. Stream flow for Ewaso Ngiro was found to have a significant increasing trend in 2030s of RCP4.5 and non-significant decreasing trend in stream flow in 2060s for RCP4.5.

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