River water quality monitoring based on remote sensing observation in the Chao Phraya River | |
| Author | Pongsakon Punpukdee |
| Call Number | AIT Thesis no.EV-21-15 |
| Subject(s) | Water quality--Monitoring--Thailand--Chao Phraya River Water Quality--Thailand--Chao Phraya River--Remote sensing |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Environmental Engineering and Management |
| Publisher | Asian Institute of Technology |
| Abstract | Satellite imagery is a powerful tool for water quality monitoring, as it can reduce the limitations of spatial and temporal inspections and labor-intensive. Therefore, it is a wildly used instrument, especially in large and wide water bodies monitoring such as lakes and oceans. It has shown the advantage of offering a synoptic view but also more efficient and economic. The Sentinel-2 image was improved with a high spatial and temporal resolution for monitoring water quality. Chao Phraya River is the main river to support many activities, especially the raw water supply resource in the lower of this river. An empirical model using simple linear regression between value of reflectance and water quality parameters from three field observations in Pathum Thani, Nonthaburi and Bangkok and are investigated. Moreover, applying the neural networks are called the Case 2 Regional CoastColour including the Case 2 Extreme to be used in this study because the Chao Phraya River is the water case 2 based on remote sensing for predicting water quality. Therefore, this study generated two empirical models; model 1 based on the value of reflectance and model 2 based on outputs of neural networks. These models were used to predict the chlorophyll-a concentration, turbidity, Secchi disk, and colored dissolved organic matter. The Case 2 Extreme was suitable to predict water quality for chlorophyll-a concentration (R2 = 0.85 and RMSE = 9.90 µg/l), turbidity (R2 = 0.24 and RMSE = 4.72 NTU), Secchi disk (R2 = 0.08 and RMSE = 12.42 cm.) and colored dissolved organic matter (R2 = 0.14 and RMSE = 2.07 m-1 ). This study created the empirical models and it apply the model for tracking the sources of pollution in the Chao Phraya River on Pathum Thani, Nonthaburi, and Bangkok such as the industrial discharge and domestic wastewater which are important sources and also use to monitor water quality for water treatment plants. |
| Year | 2021 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Environmental Engineering and Management (EV) |
| Chairperson(s) | Xue, Wenchao;Virdis, Salvatore G.P. (Co-Chairperson) |
| Examination Committee(s) | Vilas Nitivattananon;Ekbordin Winijkul; |
| Scholarship Donor(s) | Royal Thai Government Fellowship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2021 |