Multiobjective analysis in water resource planning and management: A framework for policy evaluation

1975 ◽  
Author(s):  
Michael Kaplan ◽  
Yacov Haimes
Keyword(s):  
Water Resource ◽  
Policy Evaluation ◽  
Resource Planning ◽  
Water Resource Planning ◽  
Planning And Management ◽  
Multiobjective Analysis

scholarly journals The Implementation of a Hybrid Model for Hilly Sub-Watershed Prioritization Using Morphometric Variables: Case Study in India

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1138 ◽  
Author(s):  
Anurag Malik ◽  
Anil Kumar ◽  
Daniel Prakash Kushwaha ◽  
Ozgur Kisi ◽  
Sinan Q. Salih ◽  
...  
Keyword(s):  
Water Resource ◽  
Hybrid Model ◽  
Water Conservation ◽  
Principal Component ◽  
Resource Planning ◽  
Morphometric Parameters ◽  
Study Region ◽  
Water Resource Planning ◽  
Watershed Prioritization ◽  
Planning And Management

Among several components of watershed prioritization, morphometric parameters are considered to be essential elements for appropriate water resource planning and management. In the current study, nine hilly sub-watersheds are prioritized using novel hybrid model based on morphometric variables analysis at Bino Watershed (BW) located in the upper Ramganga basin, India. The proposed model is based on the hybridization of principal component analysis (PCA) with weighted-sum approach (WSA), presenting a single-frame methodology (PCWSA) for sub-watershed prioritization. The prioritization process was conducted based on several morphometric parameters including linear, areal, and shape. The PCA was performed to identify the significant correlated factor-loading matrix whereas WSA was established to provide the weights for the morphometric parameters and fix their priority ranking (PR) to be categorized based on compound factor value. The findings showed that 37.81% of total area is under highly susceptible zone sub-watersheds (SW-6 and SW-7). This is verifying the necessity for appropriate soil and water conservation measures for the area. The proposed hybrid methodology demonstrated a reliable approach for water resource planning and management, agriculture, and irrigation activities in the study region.

Development of residential water demand model for a densely populated area of Jaipur City, India

2012 ◽  
Vol 2 (1) ◽  
pp. 10-19 ◽  
Author(s):  
Mahender Choudhary ◽  
Ruchika Sharma ◽  
Sudhir Kumar
Keyword(s):  
Water Resource ◽  
Water Demand ◽  
Resource Planning ◽  
Demand Model ◽  
Populated Area ◽  
Water Resource Planning ◽  
Residential Water Demand ◽  
Planning And Management ◽  
Effective Water ◽  
Residential Water

Water demand forecasting has become an essential ingredient in effective water resource planning and management. In water-scare urban areas of developing countries, this emphasis on accurate forecasting is particularly important for effective water resource planning and management. This paper presents an econometric water demand model for forecasting future residential water requirements for a densely populated area of Jaipur city. This study used an ordinary least squared (OLS) regression model to measured the impact of household income (I), age of respondent (A_R), household size (SIZE), age of home (A_H), wealth (W), asset score (AS), dwelling status (DWELL), monthly expenditure on water supply (EXP_WS), number of bathrooms (BATHR), and number of rooms (RMS) on residential water use (RWU) using data from a survey of 149 representative households in the study area. Empirical results indicate that residential water demand of the study area is characterized by I, SIZE, AS, and EXP_WS, with SIZE (0.542) and AS (0.418) having a major influence on RWU, as shown by their high standardized model coefficient values at 95% confidence intervals. Therefore major saving should be achieved by technological developments in water efficient appliances combined with education in efficient use of water.

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