Lilik Maslukah1, - and Riza Yuliratno Setiawan2, - and Nurjannah Nurdin3, - and Muhammad Zainuri1, - and Anindya Wirastriya1, - and Muhammad Helmi1, - Estimation of Chlorophyll-a Phytoplankton in the Coastal Waters of Semarang and Jepara for Monitoring the Eutrophication Process using MODIS-Aqua Imagery and Conventional Methods. Journal of Ecological Engineering Journal of Ecological Engineering.
2020_Journal of Ecological Engineering_Estimation of Chlorophyll-a Phytoplankton in the Coastal Waters.pdf
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Abstract (Abstrak)
This study investigates the concentration of chlorophyll-a (chl-a) using the data of field observation and MODIS- Aqua imagery. The field observation data were retrieved by using a conventional method and processed using spectrometric analysis. This study covers the coastal and near land areas which have different levels of anthropo- genic activity. The results showed that the coastal waters of Semarang with a high level of anthropogenic activity persistently show a concentration of chlorophyll a (chl-a) twice as large as Jepara coastal waters. This comparison value is obtained based on imagery and field data. Meanwhile, the ratio of chl-a field data in each region shows a value of ±5 times greater than the MODIS data. Field observation data shows a higher value than the MODIS- Aqua imagery data. The use of imagery data can be employed as a method of monitoring the eutrophication process on the coast. On the basis of the chlorophyll a classification and field observations, the coastal water of Semarang are classified as eutropic waters and Jepara is categorized as mesotropic category. The classification results will be different if monitoring is carried out using the image data with a location far from the mainland, the Semarang waters are included in the mesotropic category (> 2 mg•m-3) and Jepara is included in the oligotropic water category (< 2 mg•m-3).
Item Type: | Article |
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Subjects: | V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering |
Depositing User: | - Andi Anna |
Date Deposited: | 31 Mar 2022 01:46 |
Last Modified: | 31 Mar 2022 01:46 |
URI: | http://repository.unhas.ac.id:443/id/eprint/14916 |