Water quality prediction capabilities of WASP model for a tropical lake system

Abstract

Water quality modelling facilitates our better understanding of the processes taking place in a lake system, and conservation plans to address them. The water quality analysis simulation programme (WASP) was used in this study to predict daily variations in water quality parameters, namely dissolved oxygen, nitrate, phosphate and chlorophyll‐a and biochemical oxygen demand concentrations in a tropical lake system. The lake was divided into eight segments with the respective morphological, environmental and flow details being model inputs. The monthly concentration of each water quality parameter also comprised model input. The model output was daily spatiotemporal variation in these parameters over a period of 476 days. This study also indicated that the occurrence of precipitation plays a major role in defining the water quality of a tropical lake. The heavy precipitation after a long gap, especially during the summer season, results in a large quantity of organic matter entering the lake through drains, thereby increasing the organic matter and phosphate in the water body, and subsequently resulting in high chlorophyll‐a concentrations in the lake. A reduced chlorophyll‐a concentration was observed during the heavy rains. The water quality fluctuations are more pronounced with precipitation, especially where polluted drains enter the lake. An improved water quality can be observed downstream, including increased dissolved oxygen and nitrate concentrations. Improved water quality was observed during the postmonsoon period, with increased salinity and dissolved oxygen concentrations, a finding that confirms generalized and specific conclusions can be achieved with the use of the WASP model.

Potential for High Fidelity Global Mapping of Common Inland Water Quality Products at High Spatial and Temporal Resolutions Based on a Synthetic Data and Machine Learning Approach

“…Narrower band widths can also compromise SNR. Numerous investigations have concluded that errors in both AC and geophysical retrievals only become acceptable (<100%) at SNRs of 300 -500 at visible wavelengths and >100 at NIR wavelengths for water quality applications (Moses et al, 2015;Wang and Gordon, 2018;Qi et al, 2017;Jorge et al, 2017). Some studies suggest SNR for NIR bands to be >600 if used in AC schemes (Wang and Gordon, 2018;Qi et al, 2017).…”

Application of WASP model for assessment of water quality for eutrophication control for a reservoir in the Peruvian Andes

“…Calibration was undertaken through a trial‐and‐error approach using a visual fit, considering the default values for kinetics constants and those proposed in similar projects (Barr Milton Watershed Association, ; Ernst & Owens, ; Moses, Letha, Sabu, & Joseph, ), with these values summarized in Table .…”

A combined catchment‐reservoir water quality model to guide catchment management for reservoir water quality control

“…The newest version is WASP 8.2, which has advanced eutrophication and toxicant modules (Wool et al, 2020). WASP 8.2 is used in this study, and its application in the reservoir simulation is similar to that by Moses et al (2015), who applied WASP to trophic lakes to determine the relations between phosphate and chlorophyll‐a. Wang et al (2012) developed a WASP model for lake environmental management in China, and Mamani and Medina (2019) used WASP to demonstrate the impacts of fishery activities, sediment fluxes and pollution loads from catchments on reservoir eutrophication in the El Pañe Reservoir in Peru.…”