Analysis of Variation of Water Quality in Kelani River, Sri Lanka

This research attempted to analyze the variation of surface water quality in Kelani River and finally to create a mathematical model for the Water Quality Index (WQI) by using the data that have been obtained. Kelani River is the second largest river in Sri Lanka while being the most polluted river in the country. It is one of the main sources of drinking water for human beings while being the home for many aquatic species. The ecological aspects of Kelani River are threatened due to the increasing number of industries along both sides of the watershed. The present study is conducted to analyze the water quality in Kelani River using six parameters including pH, Turbidity, Temperature, Total phosphate, Nitrates, Dissolved Oxygen (DO), and ultimately finding the Water Quality Index (WQI) by collecting 5 sets of samples from seven locations from March 2017 to August 2017. The highest WQI (72.90) was reported near the Water Treatment Plant in Biyagama, while the lowest WQI (62.98) was achieved near the Water Board Pump in Ambathale. Water quality of five of the samples were in good quality range and the other two samples were in medium quality range. A mathematical model for WQI was created using the above mentioned six water quality parameters.


I. INTRODUCTION
Water is one of the main sources on which our existence and settlement are built upon. Water sources can be found in the forms of rivers, glaciers, rain water, ground water etc. Degradation of these natural water resources and management of available fresh water is becoming more challenging due to various reasons such as Climate change, Geology, topography and soil type. Other than the natural characteristics of these natural water resources, the main factor which disturbs the water quality and the management of these water resources is the anthropogenic influence. As a result it has made the water quality and available fresh water management task more challenging for the water service providers, especially in developing countries. Somehow these activities generate contaminants which finally end up in rivers, streams and oceans through runoff and disposal of effluents. Climate change and land use can be identified as the factors that will directly affect the water bodies available for human and agricultural purposes. Improper land use will lead to soil erosion increasing the mobilization of suspended solids in receiving waters through runoff [1,2,5]. There are 103 natural river basins in Sri Lanka, with a total length of about 4,500km. However, the increasing demand of urban activities due to the rapid growth of population has been affecting the water quality of these river bodies. It has been identified by several researchers that the decreasing of water quality in rivers is due to point source of pollution such as the direct discharges from various land use types including residential, industrial and agricultural, and also non-point source of pollutants such as urban storm water run-off. Kelani River is one of the main rivers in Sri Lanka which is considered as the most important river as it covers 80% of the water supply to Colombo. The starting point of the Kelani River is the Sri Pada mountain range and it travels along the hill country and finally flows in to the ocean at Colombo. Apart from being one of the main sources for potable water, Kelani River is used for transportation, hydropower generation, fisheries, irrigation, sewage disposal and sand extraction. The flow of the river varies between 800-1500 m³/s during the monsoon and 20-25 m³/s in the dry season, depending on the operation of 3 reservoirs in the catchment. The annual sand extraction is 600-800,000 m³ per year. The sand is mined exclusively by hand. The sand mining causes the river bed to sink by some 10 cm per year [8]. However the Environmental Foundation Limited (EFL) has stated that Kelani River is the most polluted and threatened river in Sri Lanka due to agricultural runoff and domestic and municipal effluents and the effluents that have been discharged in to the river by the increasing number of industries which are located in the close vicinity of the Kelani River [3]. It has being identified that Kelani River is being polluted day by day due the increasing amount of pollutants that are released into the river. As a result it may reach a point in the future where it will no longer be obtainable for the purpose of supplying drinking water. This can be a huge problem as Kelani River plays a vital role in providing drinking water to the Colombo city. So understanding the current status of water quality in Kelani River will be useful for the future. The aim of this study is to find out how the water quality parameters and the Water Quality Index has been varying along the Kelani River with the influence of the waste disposed by different land use types and finally to create a mathematical model for the Water Quality Index using the collected water quality data.

II. METHODOLOGY 2.1 Study Area
Samples were collected from seven sampling sites on a stretch of 8 km along the Kelani River. Fig. 1   Five sets of surface water samples were collected at monthly intervals from March, 2017 to August, 2017. Poly ethylene terephthalate (PET) bottles were used to collect the water samples and they were transported to laboratory within 24 hours in a cooler box containing ice.

Measurement of Parameters
Temperature and Dissolved Oxygen (DO) were measured using a EUTECH DO meter, pH value was measured by a HANNA Combined pH/TEMP/MV meter, Total phosphate and Nitrate was measured using a UV visible spectrophotometer and Turbidity was measured by a HACH Turbidity meter. Model and the serial numbers of these apparatus are given in Table 1.

Data Analysis
Microsoft excel 2013 was used to calculate the water quality index value and to interpret the variations of the water quality parameters along the Kelani river. Water quality Index can be found by using the equation shown in Fig. 2.

Fig.2: WQI equation
Here, the corresponding q values for the raw data must be taken from the standard q value graphs. Each of the water quality factors is assigned a weighting factor which signifies its importance [6]. A mathematical model for the Water Quality Index was created using The R Project for Statistical Computing with the use of collected water quality data.

III. RESULTS AND DISCUSSION
The final results obtained for each and every seven sampling sites are given in Table 2.

Dissolved Oxygen
The dissolved oxygen (DO) is the amount of oxygen that is dissolved in water. The Dissolved Oxygen (% sat) values for this study varied between 19.63 and 41.45. The oxygen dissolved in lakes, rivers, and oceans is very important when it comes to the living of the organisms and creatures in it. The quality of water can be affected, as the amount of dissolved oxygen drops below normal levels in water bodies. As a result the organisms and creatures living in it may die. Moving water contains a large amount of dissolved oxygen while stagnant water has less amount of dissolved oxygen. If the DO concentration is high, then the quality of water can be considered as good [ -2, Issue-6, Nov-Dec-2017  http://dx.doi.org/10.22161/ijeab/2.6.1  ISSN: 2456-1878 www.ijeab.com Page | 2772 value. The variation of DO along the selected area of the Kelani River is given in Fig. 3.  The normal range of pH for surface water is 6.5 to 8.5 [7].
Here, four of the samples are in the normal range. The variation of pH values is given in Fig. 4.

Turbidity
Turbidity is the amount of cloudiness in the water. Water with high turbidity is cloudy, while water with low turbidity is clear. When the turbidity is high, water will be less aesthetically pleasing and also sunlight will warm it more. As a result temperature of the water will be increased. Turbidity is measured by Nephelometric Turbidity Units (NTU). The turbidity of surface water is usually between 1 and 50 [7]. The maximum turbidity value (11.84 NTU) was recorded near the Lion Brew Factory and the minimum turbidity value (4.54 NTU) was recorded near the Water Board Pump Division. The variation of turbidity of the samples is shown in Fig. 5.

Temperature
Temperature is a critical water quality and environmental parameter. It impacts the dissolved oxygen levels, chemical processes, biological process, water density and stratification of a river. The temperature of surface water is usually between 0ºC and 30ºC and all the values which were obtained are in this range [7]. The highest temperature (28.44 0 C) was recorded near Pattivila area while the lowest temperature (26.14 0 C) was recorded near

International Journal of Environment, Agriculture and Biotechnology (IJEAB)
Vol -2, Issue-6, Nov-Dec-2017  http://dx.doi.org/10.22161/ijeab/2.6.1  ISSN: 2456-1878 www.ijeab.com Page | 2773 the Kaduwela Expressway Entrance. Normally the temperature difference of the upstream and the downstream of the river is used for the WQI calculation process. Here it was assumed that the upstream and downstream temperature values are equal, hence there is no temperature difference. The variation of temperature is shown in Fig. 6.

Total Phosphate
The Phosphate PO4 -3 ions can be found in three forms: orthophosphate, metaphosphate (or polyphosphate) and organically bound phosphate. These forms of phosphate occur in living and decaying plant and animal remains, as free ions or weakly chemically bounded in aqueous systems, chemically bonded to sediments and soils, or as mineralized compounds in soil, rocks, and sediments.
Phosphate is a crucial element for plant life but when there is an excessive amount of phosphate in river water, it will speed up the eutrophication process [7]. The maximum amount of phosphate (0.46 mg/L) was found near the Kaduwela Expressway Entrance while the lowest amount (0.08 mg/L) was found near Pattivila area. Fig. 7 shows the variation of total phosphate.

Nitrate
Nitrogen is important for all living things as it is a component of protein.
Bacteria convert various forms of nitrogen to nitrate (NO3 -) in the soil. Excessive amounts of nitrate can cause an unpleasant condition for the survival of aquatic species and also it will help the algae to grow rapidly. This will create an environment which will speed up the eutrophication process [7]. As shown in Fig. 8 Fig. 9, five of the samples are in good quality range while two of them are in medium quality range. As the selected stretch of Kelani River has increased number of industries, hotels, restaurants, factories etc. along both sides of the watershed, here it is difficult to expect the quality of water to be in excellent condition. All of these places discharge their waste effluents into Kelani River [4].

Mathematical model for Water Quality Index
The R Project for Statistical Computing was used in order to create a mathematical model for the collected water quality data. Table 2 shows the coefficients which were found for each and every parameter with the use of forward selection method. Intercept was found as 96.4790.  Fig. 11. Using this model is much easier than the standard WQI equation, as additional values such as q values and weighting factors are not considered. The raw data which were collected as inputs for the standard WQI equation can be used with this model.

IV. CONCLUSION
With the rapid growth of industries along the sides of the Kelani River watershed, the amount of waste effluents that are released into the river has been increased.
Understanding the water quality variation in an area like Kaduwela, which is highly populated, will be useful for the implement of pollution mitigation strategies in the future. The highest WQI (72.90) was reported near the Water Treatment Plant in Biyagama, while the lowest WQI (62.98) was achieved near the Water Board Pump in Ambathale. Water quality of five of the samples were in good quality range and the other two samples were in medium quality range. The use of standard WQI equation can be stressful as there are some additional values to consider apart from the raw data but this newly created mathematical model will be easier to use, as the raw data can be directly entered. This mathematical model can be recommended for use, with the absence of q value graphs and weighting factors.