Reservoir trophic state evaluation using Landsat TM images

Reservoir water quality is traditionally monitored and evaluated based on f ield data. Collecting and analyzing field water quality data are costly and time consuming tasks, and whether a limited number of field data truly cha racterize the spatial variation of the trophic state within a vast water bo dy is often disputed. In this study we utilize Landsat TM data to estimate the water quality and trophic state of the Te-Chi reservoir in Central Taiw an. A modified multi-parameter model of Carlson's trophic state index (TSI) was developed for the Te-chi reservoir. Water quality parameters (concentr ation of chlorophyll-a, total phosphorous measurement, and secchi disk dept h) required by the model are found to have high correlations with combinati ons of TM bands. Therefore, TM data are used to map the trophic state of th e reservoir. TM-derived TSI maps of the reservoir reveal that, in summer, t he trophic state in the reservoir generally improves from upstream to downs tream and that zones of distinct trophic state exist. Atrophic state index based on secchi disk depth may give erroneous values in the upstream sectio n of the reservoir pool due to high sediment concentration in the reservoir inflow. We conclude that the Te-Chi reservoir is eutrophic or worse in sum mer and meso-eutrophic in winter. Implementation of best management practic es to reduce nonpoint source pollution in the upstream watershed is highly recommended. This study demonstrates the capability of mapping the trophic state in impounded water bodies using the Landsat TM data.