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Spatial Assessment and Mapping of Water Quality in Lake Sentani (Indonesia) Using In-Situ Data and Satellite Imagery

Tanjung Rosye Hefmi Rechnelty, Indrayani Ervina, Hamuna Baigo, Agamawan Lalu Panji Imam, Alianto

Ecological Engineering & Environmental Technology

2023

Vol. 24, iss. 9

71--83

This study aims to examine the water quality of Lake Sentani using both in-situ data and satellite remote sensing data. In-situ data was taken in July 2023 at 18 sampling sites, including temperature, DO, pH, TDS, and water transparency. In-situ data is also used to develop and validate algorithms for estimating water quality from satellite remote sensing data. Multi-temporal Landsat-8 satellite imagery was used to spatially and temporally map the surface water quality of Lake Sentani. In-situ data showed temperature, DO, pH, TDS, and water transparency ranging from 29.3°C to 31.8°C, 1.7 mg/L to 7.9 mg/L, 7.75 to 8.64, 23 mg/L to 46 mg/L, and 2.28 m to 2.94 m, respectively. Only water transparency does not meet the quality standards for water quality (class 1 and class 2), while the other parameters meet class 1 to class 3 quality standards for surface water samples. The accuracy of the algorithm used and the resulting one has a low Mean Absolute Error value, namely 0.81 (temperature), 0.37 (DO), 4.84 (TDS), and 0.12 (water transparency). The temperature and TDS concentrations from the satellite imagery data ranged from 28.110°C to 33.918°C, and 7.829 mg/L to 102.702 mg/L, respectively. Both of these parameters still meet water quality standards. The DO concentrations ranged from 2.228 mg/L to 12.562 mg/L, and water transparency ranged from 0.424 m to 3.151 m. The concentration of DO and water transparency do not meet quality standards in several parts of Lake Sentani, especially in November and August.

Assessment of Water Quality and Pollution Index in Coastal Waters of Mimika, Indonesia

Tanjung Rosye Hefmi Rechnelty, Hamuna Baigo, Alianto

Journal of Ecological Engineering

2019

Vol. 20, nr 2

87--94

A good water quality is essential to sustaining the life of the organisms. The determination of water quality is needed as a direction to monitoring the water pollution. The purpose of this study is to examine the quality of the water and to determine the water pollution index based on the physicochemical parameters in Mimika waters, Indonesia. The sampling of water quality was carried out in October 2016 at six stations (Moga, Puriri, Inaoga, Keakwa, Atuka and Pomako waters). Then, the results were compared with the standard of sea water quality for biota marine based on the Decree of the Minister of Environment No. 51 year 2004. This study showed that the physicochemical parameters of the waters, such as water turbidity, BOD, NH3 and heavy metals (Hg, As, Cd, Pb, Cu, Zn, Ni and Cr), are still appropriate to the biota marine in all study stations. However, there is a parameter for which the quality standards were exceed in all locations, including water salinity for coral and seagrass, NO3, PO4 and H2S. The result of pollution index calculation at coastal waters Mimika are classified as lightly polluted (Keakwa and Pomako waters), and moderately polluted (Moga, Puriri, Inaoga and Atuka waters) with the pollution index values o f 3.51 to 6.95. It is important to notice that the parameters of quality standards which had been exceed such as NO3, PO4 and H2S are the environmental parameter for nutrient elements and can trigger eutrophication in the waters.