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 ◽  
...  

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.

Water Policy ◽  
2014 ◽  
Vol 17 (4) ◽  
pp. 612-629 ◽  
Author(s):  
Wei Fu ◽  
Dihua Li

Water has become a critically important resource in Beijing. In this study, a systematic analysis of changes in conditions related to water resources in Beijing since 1949 was performed. These include changes in water quantity and quality, water disasters, as well as an analysis of the evolution of water resource planning in Beijing over this period of time. Also, past approaches to urbanization have been looked at to see whether they exacerbated Beijing's water issues. The aggravating water issues were found to be associated with water resource planning in five ways. Water supply and flood protection projects have failed to control the complex water system and have exacerbated water shortages. Excessive project-oriented water diversion efforts and a lack of resource-oriented water conservation have allowed aquatic environments to deteriorate. Water supply planning has been based on demand that has intensified a lowering of the groundwater table. Improper measures that allowed wastewater to be used for irrigation of agricultural soils have aggravated water pollution. In general, water resource planning has not necessarily been conducive to solving water problems; it has even exacerbated Beijing's water crisis. The results and recommendations of this study may serve as a reference for future water resource planning in Beijing.


2012 ◽  
Vol 2 (1) ◽  
pp. 10-19 ◽  
Author(s):  
Mahender Choudhary ◽  
Ruchika Sharma ◽  
Sudhir Kumar

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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