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INTEGRATION OF WATER QUALITY MODELING, REMOTE SENSING, AND GIS 1
Author(s) -
Yang MingDer,
Merry Carolyn J.,
Sykes Robert M.
Publication year - 1999
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1999.tb03587.x
Subject(s) - water quality , environmental science , remote sensing , quality (philosophy) , geographic information system , hydrology (agriculture) , water resource management , geology , physics , biology , geotechnical engineering , quantum mechanics , ecology
Water quality modeling has been developed for more than three quarters of a century, but is limited to the study of trends instead of making accurate short‐term forecasts. A major barrier to water quality forecasting is the lack of an efficient system for water quality monitoring. Traditional water quality sampling is time‐consuming, expensive, and can only be taken for small sizes. Remote sensing provides a new technique to monitor water quality repetitively for a large area. The objective of this research is to use remotely sensed data in a water quality model ‐ QUAL2E ‐ in a case study of the Te‐Chi Reservoir in Taiwan. The water quality variables developed from the simulations are displayed in map form. The developed forecasting system is designed to predict water quality variables using remote sensing data as an input to initialize and update water quality conditions.