Abstract
Abstract We integrated hyperspectral and field-measured chlorophyll-a (Chl-a) data from the Kristalbad constructed wetland in the Netherlands. We developed a best-fit band ratio empirical algorithm to generate a distribution map of Chl-a concentration (C chla) from SPOT 6 imagery. The C chla retrieved from remote sensing was compared with a water quality model established for a wetland pond system. The retrieved satellite results were combined with a water quality model to simulate and predict the changes in phytoplankton levels. The regression model provides good retrievals for Chl-a. The imagery-derived C chla performed well in calibrating the simulation results. For each pond, the modeled C chla showed a range of values similar to the Chl-a data derived from SPOT 6 imagery (10–25 mg m−3). The imagery-derived and prediction model results could be used as the guiding analytical tools to provide information covering an entire study area and to inform policies.
Highlights
The increase in the industries, population, and human activities lead to increasing demands for using water.This will cause a destruction of water ecosystem and an augmentation of water pollutions
Using the Organization for Economic Cooperation and Development (OECD) classification system, the entire wetland can be defined as eutrophic since the average Cchla is above 8 mg m−3, and the maximum value is above 25 mg m−3
(2) Results from regression modeling indicate that the ocean chlorophyll 2band (OC2) model, adopting blue and green spectral channels, is the best-fit model for Cchla retrieval
Summary
The increase in the industries, population, and human activities lead to increasing demands for using water This will cause a destruction of water ecosystem and an augmentation of water pollutions. These are the main sources of nutrient supplements in water environment. Wetlands as biological treatment systems, which contain various aquatic plants and phytoplanktons, are used for treating the water and purifying polluted water from high nutrients [4]. Aquatic vegetation influences the nitrification and denitrification by controlling the dissolved oxygen concentration of the wetland within the rhizosphere. They can provide bacteria to fix the N in root nodules. All the abovementioned give a good evidence to prove a great capability of aquatic vegetation in purifying wastewater [5,6]
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