Nonpoint Source and Water Quality Modeling

2010 ◽  
Vol 39 (4) ◽  
pp. 1388-1401 ◽  
Author(s):  
Nigro Joseph ◽  
Toll David ◽  
Partington Ed ◽  
Wenge Ni-Meister ◽  
Lee Shihyan ◽  
...  

1992 ◽  
Vol 26 (5-6) ◽  
pp. 1431-1438 ◽  
Author(s):  
J.-J. Kao

The drainage pattern of a watershed is an important parameter in nonpoint-source water quality modeling. Manual preparation of this pattern from topographic maps is time–consuming and sometimes subjective. Digital Elevation Model (DEM) data are fundamental cartographic data stored in a uniform grid system which can be easily processed by the computer. Using DEM data and a set of pre-defined rules, the drainage pattern can be automatically determined. Six grid-based methods have been developed, and three of them have been tested for a case study, an area enclosing a subwatershed of Chin-Mei River, Taipei County, Taiwan, R. O. C. The results are comparable to the manually prepared drainage pattern, although several complexities exist for areas such as depression and highly irregular areas. Several refined rules based on the drainage patterns in adjacent areas are utilized to modify the drainage patterns in these areas. Compared with the conventional manual method, the proposed automated methods are much more efficient for regional water quality studies.


1993 ◽  
Vol 28 (3-5) ◽  
pp. 431-440 ◽  
Author(s):  
Y. David Chen ◽  
Steve C. McCutcheon ◽  
Todd C. Rasmussen ◽  
Wade L. Nutter ◽  
Robert F. Carsel

The historical development of water quality protection goals and strategies in the United States is reviewed. This review leads to the identification and discussion of three components (i.e., management mechanism, environmental investigation approaches, and environmental assessment and criteria) for establishing a management framework for nonpoint source pollution control. Water quality modeling and ecological risk assessment are the two most important and promising approaches to the operation of the proposed management framework. A conceptual framework that shows the general integrative relationships between water quality modeling and ecological risk assessment is presented.


2014 ◽  
Vol 42 (11) ◽  
pp. 1573-1582 ◽  
Author(s):  
Meltem Kaçıkoç ◽  
Mehmet Beyhan

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