Optimization of significant morphometric parameters and sub-watershed prioritization using PCA and PCA-WSM for soil conservation: a case study in Dharla River watershed, Bangladesh

Author(s):  
Md. Mahabubur Rahman ◽  
Mohammad Nazim Zaman ◽  
Pradip Kumar Biswas
2020 ◽  
Vol 21 (1) ◽  
pp. 05019005 ◽  
Author(s):  
Saier Wu ◽  
Jian Chen ◽  
Chong Xu ◽  
Wendy Zhou ◽  
Leihua Yao ◽  
...  
Keyword(s):  

Author(s):  
Kimberly W. Jones ◽  
Ronald Bullman

The Town of Bluffton, South Carolina was a one square mile coastal village until it experienced exponential growth in the early 2000s, and today is approximately 54 square miles. Until this recent growth, few sources of possible impairments to water quality were recognized within the watershed, and even fewer within close proximity to the river itself. In 2007, the Town was told by the S.C. Department of Health and Environmental Control (SCDHEC) that fecal coliform levels in the May River headwaters were increasing and in 2009 the river received a shellfish harvesting classification down-grade. In response to this down-grade, the Town of Bluffton, with Beaufort County and stakeholders, committed to take action to restore shellfish harvesting in the river and to prevent further degradation to the river. Following the U.S. EPA (EPA) guidelines for developing watershed plans, Town staff worked for nearly a year with consultants, Beaufort County, topic experts and local residents to develop the May River Watershed Action Plan which was adopted by Town Council in November 2011.


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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