Water Quality Index variations in a Mediterranean reservoir: a multivariate statistical analysis relating it to different variables over 8 years

Fadel, Ali; Kanj, Malak; Slim, Kamal

doi:10.1007/s12665-020-09364-x

Cited by 19 publications

(4 citation statements)

References 51 publications

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“…Calculating the Water Quality Index is a way to determine the water quality in the lake [13] and evaluate surface water quality, including rivers, lakes, reservoirs, and estuaries [5]. An innovation that links WQI and hydrological variables, urbanization provides a multidimensional evaluation of water quality [14]. The Selulu Reservoir Water Quality Index needs to be maintained in line with the development new capital city of Indonesia.…”

Section: Resultsmentioning

confidence: 99%

Water Quality Status and Water Quality Index of Selulu Reservoir, East Kalimantan, Indonesia

Pramaningsih

Purwanto

Yuliawati

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Selulu Reservoir is located in Waru District, North Panajam Paser Regency. It is one of the tourist destinations in supporting the tourism sector. Land use changes and urbanization have potential impacts on the environment. This study aimed to determine Water Quality Status and Water Quality Index (WQI) in Selulu Reservoir. Hopefully, the result will become the basis for future reservoir management to keep the water quality well. The method in this study used the survey method. These research steps include surveys, water samples, laboratory analysis, and data analysis. Parameters analyzed include temperature, pH, BOD, COD, and DO. The results showed that the reservoir’s water quality in all samples still met the standard, except for pH at point 3. The difference fluctuating value found in COD at point 3, although it still meets the standard. This location is close to residential areas that dump their waste into the reservoir. The Water Quality Status of the reservoir still meets the standards, and WQI is in the excellent category. This is due to the dominant land use of forest and plantations with few settlements around the reservoir, domestic waste is small, and the reservoir capacity is still supportive. Management is needed to maintain reservoir water quality in the future.

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Section: Resultsmentioning

confidence: 99%

Water Quality Status and Water Quality Index of Selulu Reservoir, East Kalimantan, Indonesia

Pramaningsih

Purwanto

Yuliawati

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Several parameters such as Temperature, DO, pH, conductivity, total dissolved solids (TDS), Salinity, Ammonia, Nitrite, Nitrate, SO4, PO4, were analyzed for each water sample collected during the 2008-2018 periods in three stations using spectrophotometry (Table 1) [Fadel et al(2019)] [Fadel et al(2021)]. All samplings were taken from the same points in the three stations.…”

Section: Sampling Testmentioning

confidence: 99%

Spatial Assessment of Water River Pollution Using the Stochastic Block Model: Application in Different Station in the Litani River, Lebanon

ATOUI

Haj

Slaoui

et al. 2022

Stat., optim. inf. comput.

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Water pollution is a major global environmental problem. In Lebanon, water pollution threatens public health and biological diversity. In this work, a non-classical classification method was used to assess water pollution in a Mediterranean River. A clustering proposal method based on the stochastic block model (SBM) was used as an application on physicochemical parameters in three stations of the Litani River to regroup these parameters in different clusters and identify the evolution of the physicochemical parameters between the stations. Results showed that the used method gave advanced findings on the distribution of parameters between inter and intra stations. This was achieved by calculating the estimated connection matrices between the obtained clusters and the probability vector of belonging of the physicochemical parameters to each cluster in the different stations. In each of the three stations, the same two clusters were obtained, the difference between them was in the estimated connection matrices and the estimated cluster membership vectors. The power of SBM proposed methods is demonstrated in simulation studies and a new real application to the sampling physicochemical parameters in Litani River. First, we compare the proposed method to the classical principal component analysis (PCA) method then to the Hierarchical and the K-means clustering methods. Results showed that these classical methods gave the same two clusters as the proposed method. However, unlike the proposed SBM method, classical approaches are not able to show the blocks structure of the three stations.

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“…Water quality assessment increases related understanding of water systems which leads to better and more effective management of water resources (Fadel et al, 2021). Spatial monitoring systems have been widely used to characterize water quality and seasonal variations and to predict future conditions (Banda and Kumarasamy, 2020).…”

Section: Introductionmentioning

confidence: 99%

Water Quality Accuracy Test from Sentinel-2 Imagery in The Pasee-Peusangan Watershed Area

Syafjanuar,

Rahman,

hadi

et al. 2023

Preprint

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The use of satellite imagery for monitoring water quality will be very practical as well as efficient in terms of time and cost, and can provide information on a very wide area. the purpose of this study was to identify water quality against the TSS parameter and in the Pasee-Peusangan watershed using Sentinel-2 Imagery. Evaluation was carried out through a qualitative method of a combination of NDTI and NDWI and TSS water quality parameter values. After that, a validation test was carried out using the RMSE, RE and R^2 methods. The TSS value as a water quality parameter in the Pasee-Peusangan Watershed ranges from 0 to 43.908035 (mg/l), areas with low concentrations of TSS predominate with an area of 533.868 Ha or around 98.15%. While the medium and high categories are between 0.2% and 1% respectively, the very high TSS category is 0.1% of the study area. Test Image validation test using the RMSE, RE and \({R}^{2}\)formulas, RMSE shows the suitability and accuracy of field and image data. The water quality in the Pasee-Peusangan Watershed is in the class 1 and class 2 categories, which means it is still relatively good.

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Water Quality Index variations in a Mediterranean reservoir: a multivariate statistical analysis relating it to different variables over 8 years

Cited by 19 publications

References 51 publications

Water Quality Status and Water Quality Index of Selulu Reservoir, East Kalimantan, Indonesia

Water Quality Status and Water Quality Index of Selulu Reservoir, East Kalimantan, Indonesia

Spatial Assessment of Water River Pollution Using the Stochastic Block Model: Application in Different Station in the Litani River, Lebanon

Water Quality Accuracy Test from Sentinel-2 Imagery in The Pasee-Peusangan Watershed Area

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