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).

A Real-Time Mathematical Model for Three-Dimensional Tidal Flow and Water Quality

1991 ◽  
Vol 24 (6) ◽  
pp. 171-177 ◽  
Author(s):  
Zeng Fantang ◽  
Xu Zhencheng ◽  
Chen Xiancheng
Keyword(s):  
Mathematical Model ◽  
Water Quality ◽  
Real Time ◽  
Control Volume ◽  
Tidal Flow ◽  
Three Dimensional ◽  
River Estuary ◽  
Pearl River Estuary ◽  
Practical Application ◽  
The Pearl River

A real-time mathematical model for three-dimensional tidal flow and water quality is presented in this paper. A control-volume-based difference method and a “power interpolation distribution” advocated by Patankar (1984) have been employed, and a concept of “separating the top-layer water” has been developed to solve the movable boundary problem. The model is unconditionally stable and convergent. Practical application of the model is illustrated by an example for the Pearl River Estuary.

Spatial assessment of water quality using chemometrics in the Pearl River Estuary, China

2017 ◽  
Vol 11 (1) ◽  
pp. 114-126 ◽  
Author(s):  
Meilin Wu ◽  
Youshao Wang ◽  
Junde Dong ◽  
Fulin Sun ◽  
Yutu Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
River Estuary ◽  
Pearl River Estuary ◽  
Pearl River ◽  
Spatial Assessment ◽  
The Pearl River Estuary ◽  
The Pearl River

scholarly journals Investigation of water quality from Damanga estuary through the water quality indexing Gujarat

2021 ◽  
Vol 9 (2) ◽  
Author(s):  
Shefaliben Sureshbhai Patel ◽  
Susmita Sahoo
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Anthropogenic Activities ◽  
River Estuary ◽  
Poor Quality ◽  
Quality Parameters ◽  
Quality Data ◽  
Water Quality Data ◽  
Investigation Area

The seasonal investigation about the water quality from Damanganga river estuary on two habitats downstream and upstream was carried out from January to December 2019 containing three major seasons: winter, summer and monsoon. For this monitoring activity total 29 parameters (24 physico-chemical parameters and 5 heavy metals) were analyzed. Multivariate analyses suggested inter dependency among these studied parameters. Water Quality Index is computed based on the major fluctuated and affected parameters. The calculated values of WQI for all three seasons ranged from 122.84 to 173.82 which suggested poor water quality of the water body. WQI values of the investigation area proposed that the estuarine water quality is deteriorated due to high value of presented heavy metals (Aluminum, Iron, Manganese, Boron and Zinc), Chloride, Ammonium and Sulfate in water sample. In this case, the downstream station is having accessional pollutant contaminations while the upstream station is having diminutive pollutant contaminants. Temporally, the dominant frailty found during the winter followed by summer and monsoon. This study field exhibited poor quality of water; the reason behind this might be the impressive surrounding industrial zone as well as other anthropogenic activities. There is quite normal probability distribution expressed by the represented water quality data at the both habitats. The Bray-Curtis cluster analysis shows different percentage similarity level between the water quality parameters.  

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