Effect of a flood underflow on reservoir water quality: Data and three-dimensional modeling

2003 ◽  
Vol 157 (1) ◽  
pp. 1-25 ◽  
Author(s):  
José R. Romero ◽  
Jörg Imberger
Keyword(s):  
Water Quality ◽  
Three Dimensional ◽  
Quality Data ◽  
Reservoir Water ◽  
Water Quality Data ◽  
Three Dimensional Modeling ◽  
Dimensional Modeling

scholarly journals Development of a GIS for managing dynamic, 3D coastal information of Pearl River Estuary

2007 ◽  
Vol 9 (3) ◽  
pp. 215-232 ◽  
Author(s):  
S. M. Y. Ng ◽  
O. W. H. Wai ◽  
Y. S. Li ◽  
Z. H. Xu ◽  
H. L. Chen ◽  
...  
Keyword(s):  
Water Quality ◽  
Three Dimensional ◽  
River Estuary ◽  
Pearl River Estuary ◽  
Quality Data ◽  
Pearl River ◽  
Water Quality Data ◽  
Efficient Retrieval ◽  
Marine Data ◽  
Rigorous Model

A geographic information system (GIS) was developed for retrieval and display of hydrodynamic and water quality data. To establish such a system, two of the most important challenges are: (1) to establish a rigorous model which captures the three-dimensional and continuously changing characteristics of marine data and (2) to develop interpolation techniques to accommodate for the temporally and spatially scattered distribution of collected data. The developed system not only bridges together a GIS and a database of various physical, chemical and biological geographically based data for efficient retrieval and management of information, but also incorporates advanced display tools designed specifically for marine data. The initial intention of extending GIS for marine application is to mitigate the deteriorating water quality situation in the Pearl River Estuary (PRE).

Mapping Three-Dimensional Water-Quality Data in the Chesapeake Bay Using Geostatistics

2007 ◽  
Vol 43 (3) ◽  
pp. 813-828 ◽  
Author(s):  
Mondher Chehata ◽  
David Jasinski ◽  
Michael C. Monteith ◽  
William B. Samuels
Keyword(s):  
Water Quality ◽  
Chesapeake Bay ◽  
Three Dimensional ◽  
Quality Data ◽  
Water Quality Data

scholarly journals Analysis of agricultural pollution by flood flow impact on water quality in a reservoir using a three-dimensional water quality model

2012 ◽  
Vol 15 (4) ◽  
pp. 1061-1072 ◽  
Author(s):  
Chen Zhang ◽  
Xueping Gao ◽  
Liyi Wang ◽  
Yuanyuan Chen
Keyword(s):  
Water Quality ◽  
Driving Forces ◽  
Surface Wind ◽  
Three Dimensional ◽  
Water Quality Model ◽  
Quality Data ◽  
Agricultural Pollution ◽  
Quality Model ◽  
Water Quality Data ◽  
Yuqiao Reservoir

This study presents the Yuqiao Reservoir Water Quality Model (YRWQM), a three-dimensional hydrodynamic and water quality model of the Yuqiao reservoir, China. The YRWQM was developed under the environmental fluid dynamics code (EFDC) model and was calibrated and verified to hydrodynamic and water quality data, using two sets of observed data from January 1 to December 31, 2006 and from May 1 to October 31, 2007, respectively. The primary hydrodynamic and transport driving forces are inflows/outflows and surface wind stresses. Considering effects of water transfer and wind on the advection-dispersion processes, the model results showed better agreements with observed data in the reservoir. The YRWQM predicted the variations of water quality resulting from agricultural pollution which flowed into the reservoir with floods lasting for 12 days in 2009. The results indicated that the concentrations of chemical oxygen demand and total nitrogen were increased 225 and 314%, respectively. Considering the interactions between chlorophyll-a and nitrogen in the model, the results indicated the reservoir was not a nitrogen-limited environment. We suggest the management should focus on agricultural pollution strategies for the reservoir during the flood period. The YRWQM could be a useful tool for water sources management in the reservoir.

scholarly journals Indicators of the deteriorate water quality status of reservoir, Sagar city, MP, India by multivariate analysis

2012 ◽  
Vol 23 (2) ◽  
pp. 155-162 ◽  
Author(s):  
Hemant Pathak
Keyword(s):  
Water Quality ◽  
Multivariate Analysis ◽  
Water Resources ◽  
Water Samples ◽  
Quality Data ◽  
Complex Nature ◽  
Large Set ◽  
Reservoir Water ◽  
Water Quality Data ◽  
Systematic Calculation

AbstractThis study was carried out in the Rajghat reservoir has been used as a drinking water resources from last decades. The aim was to investigate the temporal and spatial variability of water quality. Data investigation was processed using multivariate analysis. Samples were taken in 05 stations spreading out over the water body during three seasons were analyzed for their physicochemical characteristics in order to explore the contamination of reservoir water samples, using Correlation analysis, multiregression analysis and modeling. On comparing the results against BIS water quality standards, it is found that some of the water samples are polluted. A systematic calculation of correlation coefficient between water quality parameters has been done with the objective of minimizing the complexity and dimensionality of large set of data. An attempt has been made to find the seasonal quality of water in reservoir, in order to adopt a statistical model for examine water quality. The results of this study are believed to be valuable to help water resources managers understand complex nature of water quality issues and determine the priorities to improve water quality.

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