1. Introduction
The pollution produced by anthropogenic activities in coastal areas has harmful short and long-term effects on human health, the ecological systems, and the environment. So, it is very important to evaluate the quality of coastal seawater in the vicinity of Tangier. Reflecting the composite influence of different water quality parameters, the water quality index WQI is also useful for the classification of waters and can give an indication of the health of the water [
1].
This study aims to evaluate the physicochemical and bacteriological quality of coastal waters using the water quality index in order to study human health effects and the environmental impact.
2. Materials and Methods
2.1. Study Area
The region of Tangier-KsarSghir is located in north Morocco. The capital city Tangier covers an area of 11,570 km², representing 1.6% of the total area of the Moroccan Kingdom. It is bordered by the Mediterranean Sea to the north, the Atlantic Ocean to the west, the region of Taza-Al Hoceima-Taounate to the east and the Gharb-Chrarda-Beni Hssen South [
2].
2.2. Methods of Sampling and Analysis
A campaign of 25 sampling points was conducted to have a representation of the coastal seawater pollution in the region of Tangier. The sampling strategy used is stratified random sampling. In fact, because of the heterogeneity of the longitudinal distribution and the dispersion of the pollution in the study area, the estimate of the overall water quality will be biased if random samples ignore areas of high concentration [
3].
The following physicochemical variables: temperature, pH, and conductivity were measured directly in situ. For bacteriological analysis, samples were collected using sterile bottles. To avoid any contamination, special precautions have been taken during collection and storage according to ISO 5667-1, ISO 5667-2, and ISO 5667-3. The maximum shelf life of samples for analysis is 24 h provided that they are kept at a temperature of 5 +/− 3 C. Germs test of fecal contamination (GTFC) chosen according to Normalizes Moroccan 03.7.001 are: Escherichia coli (The most significant species of faecal contamination), Total coliforms, Fecal coliforms, and Fecal streptococci.
In this study, the Water Quality Index (WQI) is used to evaluate the coastal seawater pollution. The index is basically a mathematical means of calculating a single value from multiple test results.
3. Results and Discussion
The WQI is one of the most widely used of all existing water quality procedures. The overall results of nine separate tests can be used to determine if a particular stretch of river is healthy. The WQI consists of nine tests: Dissolved Oxygen, Fecal Coliform, pH, BOD (Biochemical Oxygen Demand), Temperature, Total Phosphate, Nitrates, Turbidity, Total Solids.
The results of the nine tests are recorded and transferred to a weighting curve chart where a numerical value is obtained. For each test, the numerical value or Q-value is multiplied by a “weighting factor”. For example, dissolved oxygen has a relatively high weighting factor; because it is more significant in determining water quality than the other tests. The nine resulting values are then added to arrive at an overall water quality index (
Table 1). The highest score a body of water can receive is 100 [
4].
The standard formula to calculate water quality index can give the best results for estimating water quality, but sometimes it is difficult to get the concentration of all nine quality parameters which are requested for WQI calculations. To overcome this problem, Srivastava and Kumar (2013) suggested the following Equation (1) that gives a chance to calculate water quality index without having the concentration of all parameters [
5].
where, Y = available parameters, Q
Y = q-values of available parameters, and W
Y = weighting factors of available parameters. The values of WQI of the present study at each station are listed in
Table 2.
Water Quality Index of the present waterbody is established from important three physicochemical parameters (pH, temperature, conductivity) and bacteriological parameter (Fecal coliforms). The Q-value of various parameters is calculated according to the Water Research Center (2014) [
6]. It was observed that the minimum value of WQI (26.45) was observed at stations 24 in the region of the Tangier Med port summer while the maximum value (59.39) was observed at station 18 in Tangier city beach.
The classification of water quality index which is based on the physicochemical and bacteriological parameters in the investigated area ranged from medium to bad water. This water quality rating study clearly shows that the status of the waterbody is bad in the different sampling sites in the Tangier-Med port area (
Figure 1a). The pollution in this region could result from the discharges of ships or hydrocarbons (refueling, cleaning of boats, leaching of roads or car parks, etc.) which are among the pollutants characteristic of port areas [
7]. It is also observed that the pollution load is relatively low in the sampling sites S2, S3,S4 located in the Benyounech, Oued el Marsa and Dalya beaches. The above water quality calculated shows a water of bad quality among almost all other regions (
Figure 1b).
4. Conclusions
The results obtained during the present study signified that the Tangier region is characterized by a relatively low to moderate seawater quality. The harmful effects of port activities and industrial effluents reaching the coastal area principally, responsible for lowering the classification of WQI (medium to bad) and hence may cause a sharp decrease in the stock total catch of many fish species. Accordingly, proper treatments of these effluents are highly desired before their disposal into this region.
Author Contributions
I.B. performed the experiments and led the writing of this paper. The first draft was written and then sent to F.S. for her comments and edits. Y.G. and I.B. analyzed the data and then F.S. and I.B. produced the final paper.
Acknowledgments
We appreciate the efforts of all researchers who have worked hard to advance knowledge and improve outcomes of seawater quality evaluation. We also thank the National Office of Food Safety (ONSSA) for providing us with materials and equipment for this work.
Conflicts of Interest
The authors declare no conflict of interest.
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