Using Regional Ground‐Water Model in Water Resource Planning

1991 ◽  
Vol 117 (4) ◽  
pp. 448-459 ◽  
Author(s):  
Mark Maimone
2013 ◽  
Vol 13 (4) ◽  
pp. 993-1006
Author(s):  
Meredith J. Metcalf ◽  
Gary A. Robbins

Connecticut is dominated by rural communities which rely upon individual domestic wells in fractured crystalline bedrock for water supply. The individualized nature of ground water usage has made ground water resource planning on a regional or townwide basis non-existent. In recent years there has been increased development and concerns expressed regarding the sustainability of the fractured crystalline rock water supply and its quality, and the need for ground water resource planning. In this study, using a rural quadrangle in eastern Connecticut, we have developed a database system that is tied to a geographic information system that can be used to help manage and assess ground water conditions. The data in the database were derived using available water completion reports and water quality reports. Data query schemes were developed to screen for data entry and reporting errors. The information maintained in the database has been analyzed to derive products on well yield, well depth, and water elevation. These products are beneficial to town planners, local sanitarians, developers, homeowners, and drillers. They can improve and facilitate decision-making concerning future rural development to ensure ground water sustainability.


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.


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