Abstract

Abstract. Manila Bay is one of the most significant bodies of water in the Philippines; it has abundant natural resources that have been the source of livelihood and center of socio-economic development for centuries. However, Manila Bay is affected by multiple environmental problems and challenges. These include increased organic and nutrient loading from untreated domestic, industrial, and agricultural wastes and deterioration of marine habitats threatened by anthropogenic activities. Regular water quality monitoring is ideal in these situations, however, sampling by traditional field methods would not be enough to assess the spatial and temporal variation of water quality in Manila Bay. Gathering field data for the whole bay can also be very challenging due to its extent and logistic constraints. Remote sensing fills the need for a frequent full view of Manila Bay’s water quality. This study makes use of existing bio-optical models to estimate colored dissolved organic matter (CDOM) in Manila Bay. CDOM is the mixture of organic molecules from decayed higher plants, algae, and bacteria, and is the colored portion of the total dissolved organic matter. Sentinel-3 images with concurrent field sampling on 19 July 2021 was used to calibrate and validate the bio-optical models implemented in WASI. The parameterization output showed an R2 = 0.579 and RMSE of 1.274 m−1 from lab-measured CDOM fluorescence converted to absorption. The same parameter set was used on a different image with a concurrent water quality survey on 19 May 2021 and resulted to an R2 of 0.72 with the spectrofluorometer yellow substance concentrations.

Highlights

  • This study focuses on mapping the Colored Dissolved Organic Matter (CDOM) concentration in Manila Bay using existing bio-optical water quality models implemented through the Water Color Simulator or WASI

  • WASI outputs colored dissolved organic matter (CDOM) in absorption per meter (m-1) units does not directly translate to the yellow substance measured by the fluoroprobe in ug/L

  • Previous studies show that the relationship of fluoroprobe yellow substance to CDOM absorption and fluorescence measurements vary per instrument, water body, and depth of measurement (Twiss, 2011)

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Summary

Manila Bay

Manila Bay is plagued by multiple environmental problems and challenges. The increased organic and nutrient loading from untreated domestic, industrial, and agricultural wastes in the watershed can lead to further water quality degradation. (Jacinto, et al, 2006). Sustainable water quality management strategies to prevent further degradation needs to be supported by frequent monitoring (Gray and Shimshak, 2011). Water quality sampling by traditional field methods may not be enough to assess the spatial and temporal variation of water quality in Manila Bay. Aside from being costly, gathering field data from the whole Manila Bay is time consuming due to its extent. Aside from being costly, gathering field data from the whole Manila Bay is time consuming due to its extent Both weather and water conditions can make it difficult for most boats and shipping vessels to cover large areas of the Bay within one day. Images captured by multi-spectral satellite sensors could addresses the need for frequent overall picture of Manila Bay’s water quality. Remote sensing can help reinforce the capability of our decision makers to monitor water bodies effectively

Colored Dissolved Organic Matter
Remote Sensing of CDOM
Bio-optical Model Inversion
WASI Parameterization
RESULTS AND DISCUSSION
CONCLUSION
Full Text
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