Geology, Hydrology, and Water Quality of the Little Blackwater River Watershed, Dorchester County, Maryland, 2006-09

Author(s):  
Brandon J. Fleming ◽  
Benjamin D. DeJong ◽  
Daniel J. Phelan
2012 ◽  
Vol 8 (3) ◽  
pp. 845-858 ◽  
Author(s):  
Augusto Tomazzoni Lubenow ◽  
◽  
Paulo Costa de Oliveira Filho ◽  
Carlos Magno de Sousa Vidal ◽  
Grasiele Soares Cavallini ◽  
...  

2008 ◽  
Vol 58 (12) ◽  
pp. 2271-2278 ◽  
Author(s):  
Mi-Hyun Park ◽  
Stephanie Pincetl ◽  
Michael K. Stenstrom

Proposition O was created to help the City of Los Angeles comply with the Total Maximum Daily Load (TMDL) requirements under the Clean Water Act. In this study, the effectiveness of the Proposition O projects in Los Angeles River watershed was examined to show whether it achieves the goal of meeting water quality standards. Our analysis shows the most effective single project will remove at most 2% of pollutant loads from Los Angeles River Watershed and will not achieve TMDL compliance, although several projects can make important contributions to achieve compliance. The ranking results show that the projects that treat the runoff from the largest drainage area have the greatest impact on the water quality of Los Angeles river.


PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0119720 ◽  
Author(s):  
Xiaoxue Ma ◽  
Lachun Wang ◽  
Hao Wu ◽  
Na Li ◽  
Lei Ma ◽  
...  

2018 ◽  
Vol 27 (1) ◽  
pp. 73
Author(s):  
A. Aguirre ◽  
E. Palomino ◽  
G. Salazar

El presente trabajo tiene como finalidad determinar la calidad de cinco cuerpos de agua de la Cuenca del Río Rímac los cuales pertenecen a la Categoría 1 A2: " Poblacional y Recreacional" Aguas que pueden ser potabilizadas con tratamiento convencional, mediante el análisis de datos que la Autoridad Nacional del Agua ANA proporcionó en su informe de Técnico de Monitoreo de la Calidad del Agua en la Cuenca del Río Rímac en el año 2013, con la finalidad de brindar una herramienta que cuantifique la calidad de los cuerpos de agua y facilite la toma de decisiones en la gestión ambiental de estos mediante la identificación de aquel que sea más propenso a la pérdida de su calidad como Categoría 1 A2. La aplicación de la metodología de Análisis de Grey Clustering y el Índice de la calidad de agua de Prati, permitieron realizar el análisis de forma objetiva, el criterio para la selección de los cuerpos de agua fue aquellos que cuyos puntos de monitoreo se encontraban más próximos al Río Rímac (aguas abajo) debido a su representatividad ya que ahí convergen todos los posible contaminantes [1] que pudiesen arrastrar desde aguas arriba. Finalmente se determinó que los cinco cuerpos de agua en estudio no se encontraban contaminados, lo cual les da las características de pertenecer a la Categoría 1 A2? ya que estos no representa un riesgo para la salud de las personas y puede ser potabilizada mediante un tratamiento convencional. Palabras clave.- lógica difusa, análisis de Grey Clustering, calidad de agua, gestión ambiental em> ABSTRACT The purpose of the present work is to determine the quality of five bodies of water within the Rimac river watershed, by analyzing the data provided by the Autoridad Nacional del Agua (ANA ‐ the National Water Authority) in its report on Technical Monitoring of Water Quality in the Rimac River Watershed (2013). These five bodies of water have been assigned to Category 1 A2 ("Domestic and Recreational Use") indicating that their water could be made potable through conventional treatment. The results can be used as a tool to evaluate the quality of bodies of water and facilitate their environmental management, by identifying those would be more prone to lose their qualification as Category 1 A2. Use of the Grey Clustering Analysis methodology and the Prati water quality index allowed us to carry out the analysis in an objective manner. The criteria for selecting the bodies of water was the proximity of their monitoring point to the Rimac river (downstream), because of their importance as a point of convergence of all the contaminants [1] that could be brought from upstream. It was found that the five bodies of water in consideration were not contaminated, so that they do belong to Category 1 A2. This means that they do not represent any risk for human health and can be made potable through conventional water treatment. Keywords.- fuzzy logic, Grey Clustering Analysis, water quality, environmental management.


Author(s):  
Alain N. Rousseau ◽  
Stéphane Savary ◽  
Dennis W. Hallema ◽  
Silvio J. Gumiere ◽  
Étienne Foulon

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