scholarly journals Determination of Bathing Water Quality Using Thermal Images Landsat 8 on the West Coast of Tangier: Preliminary Results

2019 ◽  
Vol 11 (8) ◽  
pp. 972 ◽  
Author(s):  
El Khalil Cherif ◽  
Farida Salmoun ◽  
Francisco Javier Mesas-Carrascosa
Keyword(s):  
Water Quality ◽  
West Coast ◽  
River Mouth ◽  
Decision Makers ◽  
Landsat 8 ◽  
Bacterial Concentration ◽  
The West ◽  
Bathing Water ◽  
Bathing Water Quality

Bathing water quality has been monitored in the west coast of Tangier, Morocco due to increased urban and industrial discharge through the Boukhalef river, using in-situ bacteriological measurements which demand high economical and temporal costs. In this study, Landsat 8 Thermal Infrared Sensor (TIRS) images were used as an alternative to the classical method, for determining bathing water quality to help decision makers obtain up-to-date and cost-effective information for coastal environment protection. For this purpose, during spring and summer 2017, seven sampling points were examined in terms of bacteriological parameters: Total Coliforms (TC), Faecal Coliforms (FC), Intestinal Enterococci (IE) and Escherichia coli (E. coli). Also, a spatial-temporal analysis was performed in this temporal window to detect temperature anomalies and their spatial distribution along the coastal bathing area. In addition, a relationship between in-situ bacteriological parameter measurements and temperature from satellite images was analyzed. The results of the water temperature distribution showed the highest values next to the Boukhalef river mouth, as well as the poorest water quality according to in-situ measurements, while lower values and better water quality status were observed moving away from the Boukhalef river mouth. The relationship between water temperature and bacterial concentration showed a high correlation coefficient (R2 = 0.85). Consequently, the model development approaches used may be useful in estimating bacterial concentration in coastal bathing areas and can serve to create a monitoring system to support decision makers in the protection actions of the coast.

scholarly journals Sources of Bathing Water Pollution in the West Coast of Tangier, Morocco: Effects of Industrial Zones

Proceedings ◽  
2019 ◽  
Vol 16 (1) ◽  
pp. 30 ◽  
Author(s):  
El Khalil Cherif ◽  
Farida Salmoun ◽  
Nordine Nouayti
Keyword(s):  
Heavy Metal ◽  
West Coast ◽  
River Mouth ◽  
Oxygen Demand ◽  
Principal Component ◽  
The West ◽  
Free Zone ◽  
Bathing Water ◽  
Bathing Water Quality ◽  
Industrial Zones

This study was carried out in the Boukhalef River which reaches the western coastal waters of Tangier, Morocco, loaded with wastewaters from two industrial zones: Tangier Free Zone and Gzenaya Zone. To understand the extensive impact of these industrial zones on Jbila and Sidikacem beaches located near the Boukhalef River mouth, water and sediment samples of the Boukhalef River were examined in terms of physical–chemical and heavy metal parameters, respectively. The results showed high values of conductivity (Cond), biochemical oxygen demand in five days (BOD5), and chemical oxygen demand (COD), which are the causes for the very bad quality status of the Boukhalef River waters. The application of principal component analysis on the heavy metal results of Boukhalef waters and sediments showed that samples were characterized by a load of heavy metals, seemingly of the same anthropogenic origin. This analytical survey demonstrated a relationship between the bathing water quality and industrial discharge. Indeed, industrial zones represent a strong source of pollution in the west coast of Tangier, Morocco.

scholarly journals COVID-19 Pandemic Consequences on Coastal Water Quality Using WST Sentinel-3 Data: Case of Tangier, Morocco

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2638
Author(s):  
El Khalil Cherif ◽  
Martin Vodopivec ◽  
Nezha Mejjad ◽  
Joaquim C.G. Esteves da Silva ◽  
Simona Simonovič ◽  
...  
Keyword(s):  
Water Quality ◽  
West Coast ◽  
Positive Impact ◽  
River Mouth ◽  
High Water ◽  
Coastal Environment ◽  
The West ◽  
Water Surface Temperature ◽  
Decision Making Processes ◽  
Bathing Water Quality

The west coast of Tangier, in northern Morocco, has been affected by industrial wastewater discharge that reaches the ocean through the Boukhalef river. Therefore, the Jbila and Sidikacem beaches near to the Boukhalef river mouth have been classified as polluted for many years. With the aim of determining the COVID-19 pandemic consequences on the Tangier coastal environment, a linear model using Sentinel 3 water surface temperature (WST) has been tested in several locations. Data from April 2019 and April 2020, before and during the COVID-19 pandemic related emergency status in Morocco, were compared. The results from April 2019 showed high WST values and consequently, the poorest water quality in the sites closest to the Boukhalef river mouth. On the other hand, the results from April 2020 showed normal WST values and high water quality in the same study area. These results illustrate the usefulness of Sentinel 3 WST for the estimation of bathing water quality on the west coast of Tangier. The study shows the positive impact of the COVID-19 pandemic consequences on the coastal environment quality in the study area and indicates the importance of decreasing the industrial discharge on the west coast of Tangier. The same methodology could be used in decision-making processes and to reduce cost, time and human resources for coastal monitoring systems. We demonstrate the potential of using the Sentinel 3 data for coastal waters monitoring, as well as the need for stricter controls of pollutant discharges into the world’s rivers.

scholarly journals Remote sensing data driven bathing water quality assessment using sentinel-3

2021 ◽  
Vol 21 (3) ◽  
pp. 1634
Author(s):  
Antonia Senta ◽  
Ljiljana Šerić
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Quality Assessment ◽  
Satellite Images ◽  
Remote Sensing Data ◽  
Water Quality Assessment ◽  
Data Driven ◽  
Bathing Water ◽  
Bathing Water Quality

<span>In this paper we are investigating the possibility of usage of remote sensing satellite data, more precisely sentinel-3 OLCI and SLSTR data, for assessment of bathing water quality. In this research we used data driven approach and analysis of data in order to pinpoint aspects of remote sensing data that can be useful for bathing water quality assessment. For this purpose we collected satellite images for period from start of June till end of September of 2019 and results of in-situ measurement for the same period. Results of in-situ measurement were correlated with satellite images bands and analyzed. We propose a simple method for rapid assessment of possible deterioration of bathing water quality to be used by public health authorities for better planning of in situ measurements. Results of implementation of predictive models based on k-nearest neighbour (KNN) and decision tree (DT) are described.</span>

scholarly journals Integrated River and Coastal Flow, Sediment and Escherichia coli Modelling for Bathing Water Quality

Water ◽  
2015 ◽  
Vol 7 (12) ◽  
pp. 4752-4777 ◽  
Author(s):  
Guoxian Huang ◽  
Roger Falconer ◽  
Binliang Lin
Keyword(s):  
Escherichia Coli ◽  
Water Quality ◽  
Bathing Water ◽  
Bathing Water Quality ◽  
Coastal Flow

scholarly journals OPTMIZATION OF BIO-OPTICAL MODEL PARAMETERS FOR TURBID LAKE WATER QUALITY ESTIMATION USING LANDSAT 8 AND WASI-2D

2020 ◽  
Vol XLII-3/W11 ◽  
pp. 67-72
Author(s):  
A. Manuel ◽  
A. C. Blanco ◽  
A. M. Tamondong ◽  
R. Jalbuena ◽  
O. Cabrera ◽  
...  
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
The Philippines ◽  
Quality Data ◽  
Model Parameters ◽  
Landsat 8 ◽  
Water Quality Data ◽  
Chlorophyll A Concentration ◽  
In Situ Data

Abstract. Laguna Lake, the Philippines’ largest freshwater lake, has always been historically, economically, and ecologically significant to the people living near it. However, as it lies at the center of urban development in Metro Manila, it suffers from water quality degradation. Water quality sampling by current field methods is not enough to assess the spatial and temporal variations of water quality in the lake. Regular water quality monitoring is advised, and remote sensing addresses the need for a synchronized and frequent observation and provides an efficient way to obtain bio-optical water quality parameters. Optimization of bio-optical models is done as local parameters change regionally and seasonally, thus requiring calibration. Field spectral measurements and in-situ water quality data taken during simultaneous satellite overpass were used to calibrate the bio-optical modelling tool WASI-2D to get estimates of chlorophyll-a concentration from the corresponding Landsat-8 images. The initial output values for chlorophyll-a concentration, which ranges from 10–40 μg/L, has an RMSE of up to 10 μg/L when compared with in situ data. Further refinements in the initial and constant parameters of the model resulted in an improved chlorophyll-a concentration retrieval from the Landsat-8 images. The outputs provided a chlorophyll-a concentration range from 5–12 μg/L, well within the usual range of measured values in the lake, with an RMSE of 2.28 μg/L compared to in situ data.

scholarly journals Developing of Total Suspended Sediment Model Using Landsat-8 Satellite Image and In-Situ Data at The Surabaya Coast, East Java, Indonesia

2017 ◽  
Vol 49 (1) ◽  
pp. 73 ◽  
Author(s):  
Teguh Hariyanto ◽  
Trismono C. Krisna ◽  
Khomsin Khomsin ◽  
Cherie Bhekti Pribadi ◽  
Nadjadji Anwar
Keyword(s):  
Water Quality ◽  
Suspended Sediment ◽  
Coastal Water ◽  
Satellite Image ◽  
Coastal Region ◽  
Sediment Concentration ◽  
Landsat 8 ◽  
Total Suspended Sediment ◽  
Coastal Water Quality

The decrease of coastal-water quality in the Surabaya coastal region can be recognized from the conceentration of Total Suspended Sediment(TSS ) . As a result we need a system for monitoring sediment concentration in the coastal region of Surabaya which regularly measures TSS. The principle to model and monitor TSSconcentration using remote sensing methods is by the integration of Landsat-8OLI satellites image processing using some ofTSS-models then those are analyzed for looking its suitability with TSS value direcly measured in the field ( in-situ measurement). The TSS value modeled from all algorithms validated usingcorrelation analysis and linear regression . The result shows that TSS model with the highest correlation value is TSS algorithm by Budiman (2004)with r value 0.991. Hence this algorithm can be used to investigate TSS-distribution which represent the coastal water quality of Surabaya with TSS value between 75 mg/L to 125 mg/L.

Occurrence of Salmonid Parr and Eel in Relation to Water Quality in Small Streams on the West Coast of Sweden

1986 ◽  
pp. 665-671
Author(s):  
E. Degerman ◽  
J.-E. Fogelgren ◽  
B. Tengelin ◽  
E. Thörnelöf
Keyword(s):  
Water Quality ◽  
West Coast ◽  
The West ◽  
Small Streams

scholarly journals Modeling of <i>E. coli</i> distribution for hazard assessment of bathing waters affected by combined sewer overflows

2020 ◽  
Vol 20 (5) ◽  
pp. 1219-1232 ◽  
Author(s):  
Luca Locatelli ◽  
Beniamino Russo ◽  
Alejandro Acero Oliete ◽  
Juan Carlos Sánchez Catalán ◽  
Eduardo Martínez-Gomariz ◽  
...  
Keyword(s):  
Water Quality ◽  
Hazard Assessment ◽  
Health Hazard ◽  
Water Bodies ◽  
Combined Sewer Overflows ◽  
Bathing Water ◽  
Bathing Waters ◽  
Combined Sewer ◽  
Bathing Water Quality

Abstract. Combined sewer overflows (CSOs) affect bathing water quality of receiving water bodies by bacterial pollution. The aim of this study is to assess the health hazard of bathing waters affected by CSOs. This is useful for bathing water managers, for risk assessment purposes, and for further impact and economic assessments. Pollutant hazard was evaluated based on two novel indicators proposed in this study: the mean duration of insufficient bathing water quality (1) over a period of time (i.e., several years) and (2) after single CSO/rain events. In particular, a novel correlation between the duration of seawater pollution and the event rainfall volume was developed. Pollutant hazard was assessed through a coupled urban drainage and seawater quality model that was developed, calibrated and validated based on local observations. Furthermore, hazard assessment was based on a novel statistical analysis of continuous simulations over a 9-year period using the coupled model. Finally, a validation of the estimated hazard is also shown. The health hazard was evaluated for the case study of Badalona (Spain) even though the methodology presented can be considered generally applicable to other urban areas and related receiving bathing water bodies. The case study presented is part of the EU-funded H2020 project BINGO (Bringing INnovation to OnGOing water management – a better future under climate change).

Stormwater overflow impacts on the sanitary quality of bathing waters

2007 ◽  
Vol 56 (11) ◽  
pp. 43-50 ◽  
Author(s):  
E. Soyeux ◽  
F. Blanchet ◽  
B. Tisserand
Keyword(s):  
Water Quality ◽  
Urban Areas ◽  
Active Management ◽  
Bathing Water ◽  
Bathing Waters ◽  
Management Concept ◽  
On Line ◽  
Bathing Water Quality ◽  
High Level ◽  
Water Quality Deterioration

New European Directive 2006/7/EC concerning the management of bathing water quality introduces the concept of ‘active management of bathing water sanitary quality’ which could lead to a temporary bathing prohibition in case of short term pollution. For the last three bathing seasons, Veolia has carried out in experimental mode this ‘active management’ concept at more than one hundred bathing sites with various characteristics. Results confirm the high level of microbiological pollution observed in sewer overflows during rainy periods, which is the main cause of bathing water quality deterioration. An on-line treatment solution has been successfully tested. This solution may be used in dense urban areas.

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