FRAMEWORK OF THE DEVELOPED WATER QUALITY MANAGEMENT INFORMATION SYSTEM - Integrating GIS, Remote Sensing, and Mathematical Modelling for Surface Water Quality Management - page 80

part focuses more on the different models and the detailed parameters and inputs to the models (1D-
2D), detailed 2D hydrodynamic and water quality and eutrophication model.
4.2.2. Remote Sensing Of Water Quality Parameters
The use of remote sensing techniques and tools in this research work is an important key
component in the framework of the management information system. Due to the very limited
temporal ranges of monitored water quality data and the neglected spatial and temporal
monitoring of important water quality parameters (such as TSM and CHL-a) that are essential
for eutrophication modelling, environmental management in the catchment area specially the
coastal lake (and similar areas within the Nile delta region) this catchment can be referred to
as “data scarce environment”. In such environments where there is a serious lack of essential
data for management purposes, the remote sensing can be used as a powerful tool to
compensate for (to a reasonable extent) missing needed datasets. Time series water quality
data sets can be derived from remote sensing satellite images. Also spatially distributed water
quality data sets can be a useful product from remote sensing analysis of satellite images. In
addition to these important uses of remote sensing, the extracted water quality parameters can
be used for forecasting and prediction applications.
4.2.3. Mathematical Modelling of Hydrodynamics and Water Quality
The major components in the framework of the WQMIS are the mathematical models
including the 1D and 2D hydrodynamic models of catchment lake system, the detailed 2D
hydrodynamic model of the shallow lake system, the basic parameters water quality model
and the eutrophication screening Lake Model. This hierarchy of models is considered the
backbone of the watershed management system. Figure (4-3) shows the mathematical models
components and the links between them. Chapter 7 focuses on all the modelling components
and the links between these models.
Figure (4-3): Mathematical models components and the links between them