Corrigendum: Water Practice and Technology 11 (1), 66–74: Integrated water resources management: a case study of on-farm water use for potato processing, V. Bosak, A. VanderZaag, A. Crolla, C. Kinsley and R. Gordon, doi: 10.2166/wpt.2016.008

2016 ◽  
Vol 11 (2) ◽  
pp. 516-516
Keyword(s):  
Water Resources ◽  
Water Use ◽  
Water Resources Management ◽  
Integrated Water Resources Management ◽  
Potato Processing ◽  
Resources Management ◽  
On Farm

Integrated water resources management: a case study of on-farm water use for potato processing

2016 ◽  
Vol 11 (1) ◽  
pp. 66-74 ◽  
Author(s):  
V. Bosak ◽  
A. VanderZaag ◽  
A. Crolla ◽  
C. Kinsley ◽  
R. Gordon
Keyword(s):  
Water Resources ◽  
Water Use ◽  
Water Resources Management ◽  
Water Conservation ◽  
Integrated Water Resources Management ◽  
Cooperative Strategy ◽  
Resources Management ◽  
Strategy Building ◽  
On Farm

Integrated water resources management (IWRM) is described as a holistic approach to manage water efficiently, equitably, and sustainably. This paper presents a case study where cooperative strategy building among diverse stakeholders (researchers, potato farmers, and government regulators) resulted in significant water conservation for the on-farm washing of potatoes on a large potato operation (31% reduction per unit of potatoes sold). Water was reduced by applying modified IWRM methods, including (i) goal setting, where common goals with all three parties were outlined; (ii) initial assessment, where farm water use was monitored in detail for one year; (iii) cooperative strategy building, where monitoring results were presented and potential water-use reduction strategies were brainstormed; (iv) implementation, where strategies were put into place on the farm; and (v) final assessment, where water use was monitored for a second year, after conservation strategies were in place, and the efficacy of the strategies was determined. This case study demonstrates the value of IWRM, through cooperation among researchers, farmers, and the regulators, for improving water management in agriculture.

Formulation of integrated water resources management (IWRM) plan at district level: a case study from Bundelkhand region of India

Water Policy ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 52-69 ◽  
Author(s):  
V. C. Goyal ◽  
Anuradha Garg ◽  
Jyoti P. Patil ◽  
T. Thomas
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Water Conservation ◽  
Demand Management ◽  
Geographical Area ◽  
Integrated Water Resources Management ◽  
District Level ◽  
Resources Management ◽  
The Government

Abstract Integrated water resources management (IWRM) is being implemented all over the world, considering its wide area of applications and flexible spatial scale. Scientists have found IWRM useful in an Indian context also where a coordinated development of water and land resources is sought as part of complete economic, social and environmental welfare. The paper presents the concepts of ‘Local IWRM’ planning applied to water conservation and management in a case study of Ur river watershed in Tikamgarh district of Madhya Pradesh (India). The Plan considers effective utilization of land, water and other available natural resources, linked to the vulnerabilities and livelihood opportunities in the geographical area. The IWRM Plan, designed in three sections – (1) water management, (2) land management, and (3) livelihood management – provides specific suggestions on the activities under these three themes as useful inputs to the District Irrigation Plan (DIP) of the Government. The proposed IWRM Plan intends to promote the component of water demand management in district level planning and is envisioned to be an ‘implementable’ planning document for district level government. Acceptability of the IWRM plan is potentially enhanced as the plan was developed through a participatory process, wherein all relevant stakeholders were consulted at different stages of development.

scholarly journals Optimisation of Multipurpose Reservoir Operation by coupling SWAT and Genetic Algorithm for Optimal Operating Policy (Case Study: Ganga River basin)

2018 ◽  
Author(s):  
Jatin Anand ◽  
A K Gosain ◽  
R Khosa
Keyword(s):  
Genetic Algorithm ◽  
Water Resources ◽  
Water Resources Management ◽  
Reservoir Operation ◽  
Integrated Water Resources Management ◽  
Optimal Operating ◽  
Resources Management ◽  
Decision Variables ◽  
Operating Policies

Reservoirs are recognized as one of the most efficient infrastructure components in integrated water resources management and development. At present, with the ongoing advancement of social economy and requirement of water, the water resources shortage problem has worsened, and the operation of reservoirs, in terms of consumption of flood water, has become significantly important. Reservoirs perform both regulation of flood and integrated water resources management, in which the flood limited water level is considered as the most important parameter for trade-off between regulation of flood and conservation. To achieve optimal operating policies for reservoirs, large numbers of simulation and optimization models have been developed in the course of recent decades, which vary notably in their applications and working. Since each model has their own limitations, the determination of fitting model for derivation of reservoir operating policies is challenging and most often there is always a scope for further improvement as the selection of model depends on availability of data. Subsequently, assessment and evaluation associated with the operation of reservoir stays conventional. In the present study, the Soil and Water Assessment Tool (SWAT) models and a Genetic Algorithm model has been developed and applied to two reservoirs in Ganga River basin, India to derive the optimal operational policies. The objective function is set to minimize the annual sum of squared deviation form desired irrigation release and desired storage volume. The decision variables are release for irrigation and other demands (industrial and municipal demands), from the reservoir. As a result, a simulation-based optimization model was recommended for optimal reservoir operation, such as allocation of water, flood regulation, hydropower generation, irrigation demands and navigation and e-flows using a definite combination of decision variables. Since the rule curves are derived through random search it is found that the releases are same as that of demand requirements. Hence based on simulated result, in the present case study it is concluded that GA-derived policies are promising and competitive and can be effectively used operation of the reservoir.

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