Development and Evaluation of a Water Quality Index for the Iraqi Rivers

Abstract

Water quality evaluation is fundamental for water resources management. Water quality index (WQI) is an accurate and easily understandable method for assessing water quality for different purposes. In this study, the Iraqi water quality index (Iraq WQI) was constructed to be used to evaluate the Iraqi rivers for drinking. For this purpose, some statistical techniques, experts’ advice, literature reviews, and authors’ experience were used. First, the principal component analysis (PCA) method and the modified Delphi method were used to select the most influential water quality parameters and their relative weights. Second, the quality curves of selected parameters were drawn to calculate the WQI scores basing on the water quality standards. Of twenty-seven parameters, six parameters were chosen to be within the index depending on their effect on water quality in order to reflect the specific characteristics of the Iraqi waters. The Iraq WQI was applied to the Tigris River within Baghdad as a case study and for some sites on other Iraqi rivers, and gave acceptable results. Results revealed that the statistical techniques used in this paper can be applied in all Iraqi rivers considering their specific characteristics. Based on the reliability of the Iraq WQI, there is no longer a need to use Indices designed for water for other countries.

1. Introduction

Freshwater is the most important natural resource on earth and is essential for all forms of life [1]. Knowledge of the river fluctuation cycles in physical and chemical concentrations, including nutrients, and distinguishing the effects of physical and biogeochemical processes are important for water management [2,3].

Climate change observed worldwide has a significant effect on water resources forecasts and their possible future availability and quality [4,5]. The global population continues to rise, leading to an increase in activities that require large volumes of water. Most of these practices lead to high levels of pollution and breach the limits of sustainability around water resource use [6].

According to [7,8], water shortage, pollution, and salinity affect water supplies in Iraq which have a number of lakes, marshes, and two important rivers, Tigris and Euphrates, that unite in the Shatt al-Arab with their tributaries and branches.

Human activities influence almost every aspect of the hydrological cycles of rivers, such as evaporation, precipitation, and runoff [9]. Changing the nature of the basins of Iraqi rivers will result in an automatic change in the hydrological behavior of the rivers to ensure continuity of the system. These reactions result in poor water quality and changes in the environment of the ecosystem due to pollution, saltwater rise, and others [10].

Surface water quality is a very sensitive issue, critical for long-term economic development, social welfare, and sustainability of the environment [11].

There has been a rise in awareness and concern about water pollution around the globe in recent years. Therefore, new approaches to achieving sustainable management of water resources have been established globally. The regular monitoring of water resources is absolutely essential for assessing water quality for various uses [12,13].

The conventional methods for determining water quality, which is focused on comparing experimentally determined parameter values with existing standards, are not easy to evaluate water quality for large samples containing concentrations for many parameters [14].

In light of that, the water quality index (WQI) is considered a key element of sound water resource management, as it can be used to simplify the expressions of a complex set of river water quality variables [15]. WQI is typically a dimensionless number that combines multiple water quality variables into a single number by standardizing values to the rating curves and allowing for simple data monitoring interpretation [16]. The benefits and uses of water quality indices can be summarized as follows [14,17].

• Comparing water quality from different sources, therefore deciding the appropriate use of the water resource concerned.
• Making policy choices more objective and less subjective.
• To define the difference in conditions before and after the implementation of the regulatory policy or legislation.
• To give an integral image of the overall quality of the source to make it easier for non-technical stakeholders to understand.

The WQIs substantially decrease the volume of data and simplify the description of water quality status in a single number or a single word. The calculation of the index is based on the number of physical–chemical and bacteriological parameters by comparison according to the standards [14]. Horton WQI categorized water quality in the year 1965 [18].

Brown et al. then established a general index of water quality in 1970 [19]. In 1982 Steinhart et al. applied the Great Lakes ecosystem environmental quality index [20]. In 1995 the Canadian Water Quality Index was introduced [21]. The US National Sanitation Foundation Water Quality Index (NSFWQI), Oregon Water Quality Index (OWQI), and the British Columbia Water Quality Index (BCWQI) are frequently used. Then, Bhargava performed the first WQI for India, giving water quality in the range from 0–100 [12,22]. The biggest challenge for developing countries is designing cost-effective pollution control policies. There are therefore suggestions for such situations to use only a few critical parameters to evaluate the WQI [14,16].

In the literature, the water quality of the Iraqi rivers has been widely examined by indices designed for water in different countries. Nonetheless, the studies conducted did not yield reliable results when compared with the river raw data [11,23,24].

There have been some attempts to design water quality indices, which are specific to Iraq, but those attempts were not receiving attention [11,14,25,26].

The water quality indices are generally classified into four major groups [21]. First, the public indices, like the NSFWQI, that are used for general water quality [27]. Second, unique usage indices that identify water as drinking, industrial and environment protection, etc., on the basis of the type of use and application such as the OWQI [28]. The third is the indices that serve as a tool in the planning and decision-making of water quality management projects. The fourth category is the statistical method-based indices and does not consider personal opinions, which based on the relevance of water quality observations to make assumptions. The first three indices are also referred to as an approach to expert opinion. Different weights are given by the different panel of experts for the same variables [27].

The multivariate statistical techniques were used to assist in water quality monitoring, formulating a rapid response to water pollution [29,30,31,32]. The principal component analysis (PCA) is a multivariate statistical technique analytical method commonly used in the scientific community, since it allows to reduce the dimensionality of a data set while maintaining the characteristics of variables that contribute most to this variation [33,34].

There have been several attempts to develop general water quality indices for assessing the quality of the surface water. The Rand Corporation [19] developed the Delphi technique to integrate expert opinions without the adverse effects of group response, using a series of questionnaires. The anonymity of individual responses, statistical analysis of responses, and increasingly validated feedback are important features of the method [35].

In the process, panel members are presented with response patterns learned during the previous round, allowing them to display all respondents’ overall opinions, and if appropriate, they are asked to rethink their earlier responses. The process is ongoing until a desirable degree of consensus is gained between the respondents [36].

The problems facing the water sector in Iraq are the lack of rain due to climate change, population growth along with increased consumption, and the neighboring countries’ control on the rivers shared with Iraq, the other important problems are the increase in pollution and salinity levels, especially in the south of the country [37,38,39,40].

There is no specific water quality index for Iraqi waters, and the use of other indices designed for the waters of other countries will not be accurate and will not give real results [13,25].

In this context, the aims of the present study are to create the Iraqi Water Quality Index (Iraq WQI) by applying the authors’ experience, modified Delphi technique, and principal components analysis, taking into account the Iraqi water quality standards by constructing the curves of the water quality parameters. Deriving this index to be used in monitoring and comparing the water quality of Iraqi rivers and lakes for drinking purposes, and to observe the changes for better management of water resources.

2. Methodology

2.1. The Case Study River and Data

Due to its significant hydrological environment, location, and data availability, the Tigris River is chosen as a case study area. On both sides of the Tigris there are many cities, the most prominent of which is the Iraqi capital Bagdad. The river bisects the capital Baghdad, populated by about 7 million people, for a total of approximately 50 km [11], (Figure 1).

For several decades, the Baghdad Water Directorate continued a plan to track the water of the Tigris to forecast and regulate the water quality. The samples of water are collected and tested every day with standard methods of [41] at the Directorate’s laboratories as a part of the ongoing monitoring scheme at the stations on the river [42].

Ten intakes of water purification plants situated along the river in Baghdad (Figure 1) were chosen as the sampling stations for this work, they are:

(1) Al-Karkh, (2) Sharq Dijla, (3) Al-Sadr, (4) Al-Wathba, (5) Al-Karama, (6) Al-Kadhimya, (7) Al-Qadisia, (8) Al-Dora, (9) Al-Wahda, and (10) Al-Rasheed plant. These plants supply the city with its water requirements.

The SPSS v.25 software package of Windows [43] was used in the description of the data and PC analysis, Microsoft Excel [44], and GraphPad Prism version 8.00 for Windows [45] were used to draw and derive equations of the quality curves.

Monthly values of 27 water quality parameters in 10 stations for 5 years (16,200 measurements) used to derive the index, they are temperature (T), chlorides (Cl⁻), (turbidity (Tur), alkalinity (Alk), total hardness (TH), calcium (Ca⁺²), magnesium (Mg⁺²), electrical conductivity (EC), sulfate (SO₄⁻¹), total solids (TS), suspended solids (SS), hydrogen potential (pH), iron (Fe⁺²), fluoride (F), aluminum (AL⁺³), nitrite (NO₂⁻¹), nitrate (NO₃⁻¹), ammonia (NH₃), silica (SiO₂), phosphate (PO₄⁻¹), dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), sodium (Na⁺), total dissolved solids (TDS), color, and total coliform (TC).

2.2. Development of the Water Quality Index

The general approach for creating an index of water quality can be summed up in the following four steps [18,46,47]:

• Selection of suitable water quality parameters.
• Weight assignment of the selected parameters.
• Development of the sub-indexes’ functions by the transformation of concentration of parameters into mathematical equations.
• Aggregation of sub-indices to construct the index.

In this study, in addition to the authors’ experiences and information from previous studies, two statistical methods were used for developing the index. The first statistical method is the principal components analysis (PCA), and the second is a modified Delphi method in the survey of expert opinions.

2.2.1. Parameter Selection

The principal Components Analysis

To choose the appropriate parameters, the judgment based on the experience of the authors is first applied. Some inactive parameters, having little values and little fluctuation are excluded.

Table 1. Some descriptive statistics of the 25 water quality parameters included in this study, all in mg/L, except the T in (°C), Tur in (NTU), EC in (μS/cm⁻¹), and pH. The nine parameters in bold have the little mean and variance values.

Parameters	Minimum	Maximum	Mean	Std. Deviation	Variance
T	10.00	33.00	21.90	6.07	36.93
Cl−	31.00	103.00	67.27	14.99	224.74
Tur	21.00	350.00	63.83	57.86	3347.40
Alk	116.00	178.00	152.95	14.22	202.35
TH	234.00	439.00	312.02	41.15	1693.17
Ca	57.00	116.00	75.87	11.39	129.86
Mg	21.00	39.00	30.10	4.20	17.62
EC	582.00	1196.00	833.18	130.94	17,146.03
SO4	65.00	314.00	198.58	53.25	2835.79
TS	365.00	802.00	560.51	88.67	7862.92
SS	26.00	520.00	90.53	78.08	6097.07
pH	7.60	8.25	7.91	0.130	0.02
Fe	0.21	7.04	1.51	1.05	1.11
F	0.02	0.23	0.11	0.04	0.002
Al	0.01	0.04	0.01	0.01	0.00
NO2	0.001	0.03	0.01	0.01	0.00
NO3	0.03	1.90	0.83	0.35	0.13
NH3	0.01	0.70	0.14	0.15	0.02
SiO2	0.60	7.20	4.40	1.20	1.43
PO4	0.01	0.95	0.05	0.09	0.01
DO	5.00	8.30	6.58	1.08	1.17
BOD	0.80	4.30	2.23	1.21	1.47
COD	1.30	6.40	3.34	1.84	3.40
Na	63.00	81.00	70.90	5.65	31.96
TDS	113.00	740.00	469.97	113.28	12,831.58

shows the descriptive statistics (minimum, maximum, mean, std. deviation, and variance value) of 25 water quality parameters. It can be seen that the nine parameters in bold (pH, Fe⁺², F, AL⁺³, NO₂⁻¹, NO₃⁻¹, NH₃, SiO₂, and PO₄⁻¹) have the very little mean and variance values. They are never a problem in Iraqi waters as confirmed by previous studies [3,23,48], therefore, they were excluded from participation in the derivation of the index.

Then, a PCA for the 16 remaining parameters was done. PCA is a well-known multivariate analysis technique that allows the identification of patterns in a data series and expressing them in such a way that the similarities and differences can be observed, reducing the dimensionality without losing too much information [32]. Results of PCA are shown in

Table 2. The selected PCs, commonalities of selected parameters and the Kaiser–Meyer–Olkin (KMO) and Bartlett’s Test.

Parameters	Principal Components
	1		2	3
EC	0.969
TS	0.966
TH	0.96
Cl−	0.931
Ca	0.884
SO4	0.87
Mg	0.84
TDS	0.715		0.643
Na	0.629
BOD	0.613			0.541
COD	0.612			0.543
SS			-0.949-
Tur			-0.904-
Alk				-0.773-
T				0.592
DO				-0.524-
Eigenvalue	8.341		3.680	1.082
% of variance	52.129		22.998	6.760
% Cumulative	52.129		75.127	81.888
KMO and Bartlett’s Test
Kaiser–Meyer–Olkin Measure of Sampling Adequacy.				0.769
Bartlett’s Test of Sphericity		Approx. Chi-Square		3140.577
		df		120
		Sig.		0.000

Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.

, which shows that three principal components were selected, with a cumulative variance of 81.88%.

According to the Kaiser–Meyer–Olkin (KMO) and Bartlett’s Tests of Sphericity, if the commonalities are larger than positive or negative 0.5, the corresponding parameters are chosen for the WQI construction [17,33,34]. All the 16 parameters, including EC, TS, TH, Cl⁻, Ca⁺², SO₄, TDS, Mg⁺², Na⁺, BOD, COD, SS, DO, T, Alk, and Tur have commonalities larger than 0.5 and passed the KMO and Bartlett’s Test, indicating that they were the main parameters for explaining the water quality of the river.

The Modified Delphi Method

Delphi survey is a multistage facilitation technique where a group of experts is asked to participate in a series of successive questionnaires to establish an opinion or opinion consensus on a topic’s focus areas [34,35].

To know the parameters and their weights are to be included in the index and how the expected output is related to actual measurements of parameters, a panel was selected from 44 engineers and PhD holders with expertise in water quality management. The respondents received one questionnaire that asked them to consider 27 parameters of water quality for possible inclusion in a WQI (the 25 parameters in Table 2 in addition to total coliform and watercolor). The respondents were asked to pick and rate only 10 parameters. Respondents were asked to rate the parameters that they chose as contributors to the overall water quality according to their significance. This ranking was done on a 1 to 5 scale. Of the 44-member panel, 30 respondents (68% completed the questionnaire and returned it.

The 10 parameters the panel selects were: DO, COD, turbidity, TDS, nitrates, phosphates, pH, total coliform, TH, and Cl⁻.

These 10 parameters and the 16 which result from the PCA can be unified and replaced by these five most important parameters (TDS, TH, Cl⁻, DO, and COD), which include its overall representation and are known to cause the decline in the water quality of the Iraqi rivers whenever we head to the south of the country [37,38,39,40]. Therefore, turbidity, nitrates, phosphates, and pH were excluded and total coliform was added according to the panel’s recommendation. Based on the foregoing, the final list of parameters from which the index will be derived is: COD, DO, TC, TDS, TH, and Cl⁻.

2.2.2. Assignment of Weights

Table 3. Water quality categories proposed for Iraq water quality index (WQI), mathematical equations for function curves, and weights assigned for the six selected parameters.

	Very Good 90–100	Good 70–90	Acceptable 50–70	Bad 20–50	Very Bad 0–20	Equation	R2	Weight
TDS	50–100	200–300	500–1000	2000–3000	3500–4000	Y = −0.0191X + 84.587	0.9455	0.2
TH	50–200	300–400	500–600	650–700	750–800	Y = −0.1186X + 113.68	0.9664	0.15
TC	0–1000	2000–2500	3000–5000	6000–8000	12,000–15,000	Y = −0.0057X + 86.231	0.9251	0.2
DO	10–9	8–7	6–5	4–3	2–1	Y = 10X	1	0.2
COD	0–0.5	1–2	4–6	8–10	12–14	Y = −5.8862X + 88.846	0.9685	0.1
Cl−	50–150	200–300	400–500	550–650	700–800	Y = −0.12X + 106.58	0.9961	0.15

below shows the weights that are given to the parameters according to the opinion of the experts’ committee, the authors’ experience, and the importance of these parameters in determining the quality of water in Iraqi rivers. Table 3 also includes the proposed categories of values of different water quality classifications of the Iraq WQI based on the Iraqi standard specifications and WHO specifications for drinking water [49,50].

The Iraq WQI is developed to classify the river’s water into five categories, viz. very good, good, acceptable, bad, and very bad.

2.2.3. Development of the Sub-Indices

Sub-indices functions are the equations that turn the ranges of concentrations via mathematical equations into index ratings. Then these scores are further translated to a specific scale based on their relative importance for impacting water quality [16]. Such functions of the sub-indices are defined in a specific range based on the standards of water quality and their concentrations to meet in a particular range [12]. To this end, mathematical expressions were fitted for every parameter to get the sub-index equation as given in Table 3. The corresponding difference between the parameter range and index is kept constant in this index to provide a more consistent indices value.

The development of sub-indices function by the weighted sum index method using the proposed categories values of different water quality classifications (Table 3) was plotted as water quality curves. A set of average curves—one for each parameter representing the variation in the level of water quality produced by the various possible measurements of each respective parameter—is drawn, with levels of (water quality) from 0 to 100 on the vertical axis, while various levels of the parameter were set along the horizontal axis, as shown in Figure 2.

2.2.4. Aggregation of Sub-Indices

The score produced by each parameter was averaged-out to measure the effect of each individual parameter on a common single scale. For this reason, the following weighted-average aggregation function is used [15,51].

$$Iraq WQI={\displaystyle \sum }_{i=1}^{n}Wi\times Qi$$

in which

• Iraq WQI = the Iraqi water quality index, a number between 0 and 100.
• Qi = the quality of the ith parameter, a number between 0 and 100.
• Wi = the unit weight of the ith parameter, a number between 0 and 1, and

  $${\displaystyle \sum }_{i=1}^{n}Wi=1$$
• n = number of parameters.

Accordingly, the final formula for the Iraqi Water Quality Index will be as follows:

$$\begin{array}{lll}Iraq WQI& =& \left[\left(- 0.019 TDS + 84.587\right)\times 0.2\right]+\left[\left(-0.006 TC + 86.231\right)\times 0.2\right]\\ & & +\left[10 DO \times 0.2\right]+ \left[\left(-0.119 TH + 113.68\right)\times 0.15\right]+[-5.886 COD\\ & & + 99.846) \times 0.1\left] + \right[\left(-0.12 Cl + 106.58 \times 0.15\right]\end{array}$$

3. Results and Discussion

The initial 25 quality parameters were analyzed to develop the Iraq WQI. Nine ‘inactive’ parameters were removed by the experience method because they do not pose problems in the waters of Iraqi rivers [3,23,48,52,53], (Table 1). Applying the PCA method for the 16 reserved parameters produced three major components, whose cumulative variance is 81.89%, (Table 2). A weight vector and sub-scores for parameters were then calculated by employing the experts’ advice and drawing the quality curves.

The Iraqi Standards [49] and the World Health Organization [50] specify the quality of water for various uses. The six parameters, viz. total dissolved solids (TDS), dissolved oxygen (DO), chemical oxygen demand (COD), total hardness (TH), chlorides (Cl⁻), and total coliform (TC) are considered to significantly affect the surface water quality as the result an expert panel’s advice and PCA test. For all these parameters, a classification has been devised to categorize the quality of water into five classes. These classes include very good, good, acceptable, bad and very bad. The proposed water quality classification criteria along with class and index score are given in Table 3.

The following are some of the characteristics of these six parameters and the reasons for choosing them within the water quality index:

• Total Dissolved Solids (mg/L): It comprises inorganic salts (Ca⁺², Mg⁺², K⁺, Na⁺, HCO₃⁻¹, Cl⁻, and SO₄⁻²) and some small quantities of organic matter [48]. Higher TDS may be harmful to aquatic life through salinity increase or water composition changes. The main sources of elevated TDS in river water may be from soil erosion, agricultural runoff, household waste pollution, and other human activities [54].
• Total Hardness (mg/L): It is used to describe the dissolved calcium and magnesium effect, to assess water solubility for drinking, domestic, and industrial uses attributed to the presence of HCO₃⁻¹, SO₄⁻², Cl⁻¹, and NO₃⁻¹ of Ca and Mg [55].
• Chloride (mg/L): It is the salts of Ca⁺², Mg⁺², and K⁺ ions in water. The high chloride content may indicate pollution by industrial waste and domestic sewage [48].
• Chemical Oxygen Demand (mg/L): It is the quantity of oxygen needed to decompose the biodegradable and non-biodegradable organic wastes in water caused by urban wastewater discharge. COD refers to the pollutants which cause adverse conditions for microorganism development [56,57].
• Dissolved Oxygen (mg/L): It is essential for aquatic life. The decomposition of organic matter, industrial waste, dissolved gases, and agricultural runoff result in a lower DO level. The concentration of DO below 5.0 mg/L adversely affects aquatic life [58].
• Total coliform (TC) (MPN/100 mL): It is ten times more abundant in water than the fecal coliforms. Fecal coliform bacteria are sources of human and animal excreta pollution in water. Excreta-contaminated water contains harmful pathogens and is not safe for use [59].

The last two parameters (DO and TC) were chosen according to the advice of the surveyed experts and because of their health importance.

Validation of the Proposed Iraq WQI

The tigris River within Baghdad was taken as a case study, and initial data of 25 quality parameters for the previous 5 years were analyzed. The Tigris River monthly water monitoring data were divided by season into four groups. The final formula for index is applied, which is:

$$\begin{array}{lll}Iraq WQI& =& \left[\left(- 0.019 TDS + 84.587\right)\times 0.2\right]+\left[\left(-0.006 TC + 86.231\right)\times 0.2\right]\\ & & +\left[10 DO \times 0.2\right]+ \left[\left(-0.119 TH + 113.68\right)\times 0.15\right]+\end{array}$$

$$\left[\left(-5.886 COD + 99.846\right) \times 0.1\left] + \right[\left(-0.12 Cl + 106.58\right) \times 0.15\right]$$

The yielded Iraq WQI scores for Tigris River within Baghdad were rated as Acceptable (69.4) in summer and Good (76.5, 74.8, 72.3) for the rest of the year, the average annual water quality of the Tigris River is Good (73.25) as shown in

Table 4. Application of the proposed index to the seasonal measurements of the Tigris River within Baghdad.

Seasons	Parameters
	TH	Cl	DO	COD	TDS	TC	Iraq WQI
Spring	295	66	7.2	1.6	416	1100	76.5
Summer	384	57	6	3	451	1200	69.4
Autmn	328	73	6.2	5.4	573	900	74.8
Winter	341	72	6.82	3.28	520	800	72.3
Average	337	67	6.555	3.32	490	1000	73.25

.

In this study, to ensure the validity of the proposed index for other Iraqi rivers, it was applied to estimate the yearly water quality of sites on some other Iraqi rivers (Diyala, Euphrates, Diwaniyah, Al-Gharraf, and Shatt al-Arab). The data of these sampling locations are taken from the published literature [24,60,61,62,63,64,65,66], the values of the missing parameters were offset from other studies of the same river and region as shown in

Table 5. The application of the proposed (Iraq WQI) index for sites on some Iraqi rivers.

	Water Quality Paraneters
River	TH	Cl	DO	COD	TDS	TC	Iraq WQI	Data Source
Diyala	350	60	5.5	3.5	710	5500	69.52	[64]
Euphrates	600	100	6	6.5	950	4200	60.9	[63]
Diwaniyah	450	70	5	5.5	820	4000	66.95	[65]
Al-Gharraf	360	105	7.4	5.5	700	3500	71.83	[24]
Shatt Al-Arab	1250	1150	7.2	6.3	1650	4300	33.35	[61]

.

It is observed from Table 5 that the Iraq WQI values are (69.52), (60.9), (66.75) for the Diyala River, Euphrates River, and Diwaniyah River respectively, which indicates that the water quality of these rivers in the site studied falls in the category “Acceptable” and the rivers water needs a traditional purification treatment (sedimentation, filtration and disinfection). Similar is the case for Al-Gharraf River where the index is 71.83, and the quality is relatively better under the category “Good”. In the case of Shatt Al-Arab, it is seen from Table 5 that the Iraq WQI value is 33.36, the corresponding quality class is “Bad” and this water needs more than the traditional purification treatment (reverse osmosis) before any use.

The quality of rivers waters in Iraq is graded whenever we head south, it is better in the northern regions and less in the center of the country, but in the south, it becomes bad, especially the waters of the Shatt al-Arab, which consists of the confluence of the Tigris and Euphrates rivers north of Basra. In general, the water quality of the Tigris and its Al-Gharaf branch is better than that of the Euphrates and Shatt Al-Arab rivers.

Iraq currently has three types of water quality issues to contend with. The first is the water shortage, the second is salinity, and the third is pollutant concentration in water related to municipal, industrial, and agricultural activities [67]. Water quality degradation is further compounded by drought events and is a major contributing factor to agricultural land desertification [68].

As the water flows downstream, the salinity of Iraq’s rivers worsens. Because of local geological features, land management, and agricultural irrigation and drainage activities within the Euphrates watershed, salinity along the Euphrates is higher than along the Tigris and its tributaries [69]. The Shatt al-Arab is suffering from the highest salinity due to the meeting of rivers and drainage channels with high salinity, reduced volumes of water flow, and tidal influence from the Arab Gulf [70].

The proposed index has significant improvement, especially in the step of selecting parameters to be suitable for Iraqi water and the nature of the land and climate of Iraq. The selected parameters for the current proposed WQI are according to the local natural and social situations.

As a result, 6 quality parameters from 27 parameters were selected. Total coliform was added by the expert panel to the WQI due to its health effects. The remaining 21 parameters were excluded due to the reasons mentioned above, or they have been replaced by what they represents. The selection of important water quality parameters will remove the effect of irrelevant parameters and thus produce more accurate results.

A potential problem that may occur is from the inactive parameters, since because of their small and safe value they are removed from the considered list at the first stage. However, if an emergency occurred, the value might generate explosive growth. As a result, in normal situations, the approach suggested is more practical than in emergencies.

From a regular point of view, some parameters (like PO4-1, NO3-1) and others may be critical in water quality evaluation for rivers in other countries and included in the international WQIs, however, in this study, they did not pass the statistical test, were not chosen by the experts and were not known to cause problems to Iraqi waters and for these reasons they were removed.

4. Conclusions

In this paper, an Iraqi Water Quality Index (Iraq WQI) is developed to provide a simple tool for assessment of the quality of surface water resources for drinking water supply. The Iraq WQI is developed based on the Iraqi standard of drinking water (IQS, 2009) by considering 27 parameters covering physical, chemical, and biological aspects of water. The proposed index provides a simpler means for water quality assessment, management, and is very useful for decision-makers, planners and field engineers for maintaining good health of surface water resources.

A WQI method is proposed in which experts’ opinions and principal component analysis are used to select more important water quality parameters, and each parameter is assigned a weight reflecting its relative importance. Evaluation scores of individual parameters are calculated by fitting a water quality curve for every selected parameter. Corresponding with the individual score and the weight, the WQI score is computed, which is applied to the Tigris River as a case study area and for other Iraqi rivers and it has been confirmed that this index can be applied to Iraqi rivers.