Bhargava’s Index
Classification and zoning of rivers have administrative and other uses and form an integral part of water pollution control programs. A river may be classified into various grades indicating the beneficial use(s) to which it may be put. The grades are based on the permissible limits of relevant pollution parameters (water quality variables) or standards set by the various authorities. Depending on the quality of water in variousstretches of a river, the river can be zoned according to each stretch’ssuitability for the beneficial use(s).
The assigning of a class to a river reach is not simple. Only in rare cases are all the relevant variables found to be within the permissible limits of a given class. In other words, in most cases, the river water would be classified into one grade with regard to one set of variables and into another class with regard to another variable or set of variables. For example, a river at one point may have an average: Biochemical Oxygen Demand (BOD) = 6.0mglitre- l, Dissolved Oxygen (DO) = 3.7 mglitre- 1, coliform MPN = 4300 100 ml- 1 and chloride = 45 mg litre- 1
According to the US Atomic Energy Commission standards (USAEC, 1974) for classifying raw water sources for domestic supply, Group I (Excellent, requiring only disinfection), Group II (Good, requiringusual treatment such as filtration and disinfection), Group III(Poor, requiring special or auxiliary treatment and disinfection) would, respectively, require BOD = 0.75-1.5 mg litre- 1, 1.5-2.5 mg litre – 1, more than 2.5 mg litre – 1 ; DO = 4.0-7.5 mg litre – 1, 4.0-6.5 mg litre – 1,4.0 mg litre- 1 ; coliform MPN = 50-100 100 ml- 1,50-5000 100 ml- 1, more than 5000 100 ml- 1; and chloride = 50 mg litre- 1 or less, 50-250 mg litre- 1, more than 250 mglitre-1. Therefore, a river may be placed in Group I with respect to chloride, in Group II with respect to coliform MPN, in Group III with respect toBOD and in no group at all with respect to DO. Hence, one can classify the river either in a lower class, thus underestimating the river’s utility potential, or in a higher class, in which case the safety or value of the higher class may be questionable. Otherwise, the classification would arbitrarily be made on the basis of judgement, importance of each variable to a use, reliability of monitoring, etc. To avoid use in a questionable grade, one would tend to place the river in the lower grade, which may not result in the full exploitation of the river.
In view of the above, it would be appropriate to base river classification on the ranges of an index representing the integrated effect of the concentrations and importance values of the relevant variables for a use. Important requirements of such a Water Quality Index (WQI) are as follows:
- It should be sensitive to changes in the relevant variables’ value(s).
- It should provide greater change in the WQI by a change in thevalue of a variable of greater relevance to the beneficial use; that is,the variable’s weight representing the relevance of the variable to agiven beneficial use should be incorporated in the WQI.
- It should attain a very low value (perhaps zero), when a relevant single variable reaches a certain value beyond which the water quality for a given use is considered unsuitable.
- It should remain unchanged when a relevant variable reaches a value beyond which further change does not affect water use.
- Variation in the index should reflect the different levels of importance of a single variable for the use(s).
It is proposed to develop WQIs for the various grades of water for the various beneficial uses, and to apply the index to rationally classify the Ganga river of the Indo-gangetic plain.
Uses and Limitation:
There are a wide variety of beneficial uses for water. Those applicable tothis study are grouped into the following major categories, based on moreor less similar water quality requirements:
- Bathing, swimming.
- Public water supplies.
- Agriculture.
- Industry.
- Fish culture, wildlife, boating and other non-contact recreation.
Categorization Table
Table 1 Water Quality Index Ranges for Different Classes of Beneficial Use
Standards Required
Any national or international water quality standard limits could be used for different purposes of water.
Standards Required
To develop the index, 4 groups of parameters were identified. Each group contained sets of one type of parameters.
Group-I includes the concentration of coliform organisms to represent the bacterial quality of drinking water.
Group-II includes the toxicants, heavy metals, etc., some orall of which have a cumulative toxic effect onthe consumer.
Group-III includes the parametersthat cause physical effects, such as odour, colour and turbidity.
Group-IV includes the inorganic and organic nontoxic substances such as chloride, sulphate, foaming agents, iron, manganese, zinc, copper, total dissolved solids (TDS) etc.
Case Studies based on Bhargava’s Index
An attempt has been made to develop water quality index (WQI), using six water quality parameters Dissolved oxygen (DO), Bio chemical oxygen Demand (BOD), Most Probable Number(MPN), Turbidity, Total Dissolved Solids (TDS)and pH measured at eight different stations alongthe river basin. Rating curves were drawn based on the tolerance limits of inland waters and healthpoint of view. Bhargava WQI method and Harmonic Mean WQI method were used to find overall WQIalong the stretch of the river basin. Five-point ratingscale was used to classify water quality in each ofthe study areas. It was found that the water quality of Netravathi varied from Excellent to Marginalrange by Bhargava WQI method and Excellent to Poor range by Harmonic Mean WQI method. It was observed that the impact of human activity wassevere on most of the parameters. The MPN values exceeded the tolerable limits at almost all thestations. It was observed that the main cause of deterioration in water quality was due to the lack ofproper sanitation, unprotected river sites and high anthropogenic activities.
The water quality index (WQI) was calculated to classify the flowing water in the Euphrates River at Al-Najaf City and try to correlate the results with the satellite image for making colored analytical models to the river that can be used to predict the classification of river water quality for drinking purpose. Bhargava’s Index WQI method was adopted to evaluate and judge the suitability of Euphrates River in Al-Najaf City, this was done by testing the water quality of the samples collected from intakes of two stations (Al-Kufa Water Project and ManathiraWater Project) in Al-Najaf City. The analysis includes different polluted parameters: Total Hardness (T.H), Sulfate (SO4-2), Chloride (Cl-1), Total Dissolved Solids (TDS), Calcium (Ca+2), pH value, and Biochemical OxygenDemand (BOD) as a monthlyaverage basis during the year 2015. The results from WQI analysis classified the Euphrates River “acceptable” to”polluted”atAl-Kufa station while it was “acceptable” to “severely polluted” at Manathira station. WQI reached a maximum value of 43.65 in July at Manathira station through the study period, while the average annual overall WQI was 33.34 at Al-Kufa station and 29.67 at Manathira station. The low values of average annual overall WQI obtained as a result of the high concentration snofSulfate,Total Dissolved Solids, Calcium and Total Hardness which can be attributed to the various human and industrial activities taking place at the river banks. The results are analyzed by using the Geographic Information System (GIS) which requires building a network database linked to GIS for making benefit from its analysis power and geographical distribution of data across the study area.
References
Avvannavar, S., &Shrihari, S. (2008). Evaluation of water qualityindex for drinking purposes for river Netravathi, Mangalore,South India. Environmental Monitoring and Assessment,143(1-3), 279–290. doi:10.1007/s10661-007-9977-7.
Mustafa MuwafaqNoori, Khalid Adel Abdulrazzaq, AthraaHashim Mohammed (2017) Evaluation of Water Quality using Bhargava Water Quality Index Method and GIS, Case Study: Euphrates River in Al-Najaf City. 6(7): 1286-1295. doi:10.21275/ART20175545