scholarly journals Influence of Water Quality Index (WQI) on Biotic Indices of Benthic Macroinvertebrate at Highland Rivers in Kelantan and Pahang

2015 ◽  
Vol 72 (5) ◽  
Author(s):  
Aweng, E. R. ◽  
Sharifah Aisyah, S. O. ◽  
Ahmad Abas, K. ◽  
Ahmad Fadli, A. S. ◽  
Azrinaaini, M. Y. ◽  
...  
Keyword(s):  
Water Quality ◽  
Benthic Macroinvertebrates ◽  
Water Quality Index ◽  
Quality Index ◽  
The Other ◽  
Biotic Index ◽  
Class Iii ◽  
Polluted River ◽  
Ecological Index ◽  
Other Hand

A physicochemical survey of water quality and benthic macroinvertebrates at two rivers namely Sungai Dekong and Dawai in Lojing Highland was conducted on 23 and 24, January 2014. Three stations were selected for physicochemical water quality, one station at Sungai Dekong and two other stations at Sungai Dawai. On the other hand, benthic macroinvertebrates were collected at nine stations, i.e. three stations at Sungai Dekong and the other six stations at Sungai Dawai. Result shows that, Station 1 (Sungai Dekong) recorded Very Poor Biological Monitoring Working Party, BMWP (2.0–12.0), Poor Average Species per Taxon, ASPT (2.0–4.0), Poor Citizen Monitoring Biotic Index, CMBI (2.0–2.3), Fairly Poor Family Biotic Index, FBI (5.3–6.0) and Poor Ephemeroptera, Plecoptera and Trichoptera or EPT Index (0.0). However, the Water Quality Index WQI (70.01) falls into Class III which can be categorized as Slightly Polluted River. On the other hand, Station 2 (Sungai Dawai downstream) recorded better Biotic and Ecological Index but lower Water Quality Index as compared to Station 1. It recorded Moderate BMWP (26.0–84.0), Very Good ASPT (5.3–6.5), Good CMBI (2.7–3.2), Excellent FBI (3.4–4.3) and Moderate EPT Index (2.0–5.0). However, the WQI (54.99) falls into Class III, and can be categorized as Polluted River. Finally, Station 3 (the most upstream station at Sungai Dawai) recorded almost similar Biotic and Ecological Index with Station 2 but in terms of WQI revealed a significant difference. Station 3 recorded Poor BMWP (34.0–46.0), Very Good ASPT (6.5–6.8), Good CMBI (2.9–3.1), Excellent FBI (3.1–3.9) and Moderate EPT Index (3.0–4.0). However, it’s WQI (84.48) falls into Class II which could be categorized as Cleaned River. As a conclusion, physicochemical river water quality was not the only contributing factor to the Biotic Index at the highland rivers as per other factors such as river substrates, river discharge, aquatic plants, river riparian and river canopy. 

scholarly journals Efficiency of Water Quality Index Approach as an Evaluation Tool

2013 ◽  
Vol 20 (2) ◽  
pp. 247-255 ◽  
Author(s):  
Hülya Boyacioğlu ◽  
Vildan Gündoğdu
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Poor Quality ◽  
High Flow ◽  
The Other ◽  
Low Flow ◽  
Complex Data ◽  
Other Hand ◽  
Index Approach

Abstract This study aimed to demonstrate efficiency of documented index method “universal water quality index-UWQI” to evaluate surface water quality and investigate seasonal and temporal changes, in the case of Gediz River Basin Turkey. UWQI expressed results relative to levels according to criteria specified in European legislation (75-440 EEC). The method produced a unitless number ranging from 1 to 100 and a higher number was indicator of better water quality. Water quality is classified into five classes and index scores between 95-100 represent excellent and lower than 24 represent poor quality. In the study, dissolved oxygen-DO, pH, mercury-Hg, cadmium-Cd, total phosphorus-TP, biochemical oxygen demand- BOD and nitrate nitrogen-NO3-N have been chosen as index determinants. Samples analyzed for these variables were collected from five stations on monthly basis along two years. Based on UWQI classification scheme, water quality at sampling stations had scores below 40 and assigned to “marginal” which is between fair and poor quality class. On the other hand sub-indices of water quality determinants showed seasonal differences for some parameters. Cd concentrations were higher in “high flow” and lower values were observed in “low flow” periods. This was explained by negative impact of urban runoff on water quality. On the other hand DO concentrations were higher in “high flow” period. Under “low flow” conditions water quality at upstream stations (where the industrial density is low) was comparably better than downstream part. The study showed that index approach can be efficient tool to: a) evaluate water quality, b) investigate spatial and seasonal variations and finally, c) extract required information from complex data sets that is understandable by non-technical people.

scholarly journals Water Quality Index Score in River Water Treatment Plant at Upper Klang and Gombak River Catchment

2019 ◽  
Vol 8 (4) ◽  
pp. 6462-6467
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Anthropogenic Activities ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Class Iii ◽  
Target Class ◽  
River Catchment

National River Water Plants are located along upper Klang and Gombak river catchment to purify the polluted river using direct contact methods. As the current water quality situation in the study area is poor due to the contribution of anthropogenic activities on the water quality degradation in these urban rivers, the investigation was performed using the Water Quality Index. This paper gives the overall performance of RWTP using Water Quality Index (WQI) calculation methods. The WQI act as the basis of environment assessment towards to river water quality classification under Malaysia National Water Quality Standards. As an overall result, 57 percent from the total effluents achieve target Class II and above and another 43 percent achieve Class III and below regardless of two (2) RWTPs are under target from the average monitoring; RWTP Sg Gisir and RWTP Sg Sentul. However, the result for RWTP Sg Sentul is not yet conclusive since the monitoring duration is less than 2 years. Certainly, RWTP Sg Gisir needs to be taken into consideration for more frequent maintenance of the RWTP or upgrading of the RWTP oxidation tank as suggested in several MBBR/IFAS operation. As to improve the RWTP performance to score higher WQI, the introduction of recycling sludge in the biological tank so it will be a shorter reaction time. Additionally, the RWTP owner should implement a frequent maintenance work into RWTP component especially clarifier, sludge collector, biological oxidation tank and rubbish trap collector.

scholarly journals Benthic Macroinvertebrates Diversity as Bioindicator of Water Quality of Some Rivers in East Kalimantan, Indonesia

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Fatmawati Patang ◽  
Agoes Soegianto ◽  
Sucipto Hariyanto
Keyword(s):  
Water Quality ◽  
Benthic Macroinvertebrates ◽  
Water Quality Index ◽  
Quality Index ◽  
Average Score ◽  
Chemical Parameters ◽  
Melanoides Tuberculata ◽  
East Kalimantan ◽  
Physical Chemical

The objectives of this study were to clarify and evaluate the water quality of a number of rivers in East Kalimantan province of Indonesia. For this purpose, our study successfully utilized the benthic macroinvertebrates diversity as well as physical-chemical parameters of river’s water. For instance, based on the values of Average Score per Taxon (ASPT) and the National Sanitation Foundation-Water Quality Index (NSF-WQI), Karang Mumus River was categorized as polluted with Chironomus sp. and Melanoides tuberculata as codominant taxa. In addition, Jembayan River exhibited doubtful or moderate quality containing M. tuberculata and A. parvula as codominant taxa. However, Pampang River was found to be the cleanest river with Odonata and Baetidae families as codominant taxa.

scholarly journals Improvement of Sungai Sebulung Water Quality Using Effective Microorganism

2018 ◽  
Vol 7 (3.9) ◽  
pp. 59
Author(s):  
Ahmad Firdaus ◽  
Shamila Azman ◽  
. .
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Average Concentration ◽  
Class Iii ◽  
Effective Microorganism

Effective Microorganism (EM) is a practical and less costly method to enhance water quality. Sungai Sebulung is one of the rivers in Malaysia that have been treated using EM. This study has been carried out to find the effectiveness of EM and its suitability to the condition of Sungai Sebulung. This study will also evaluate Water Quality Index (WQI) of the river. The WQI of Sungai Sebulung is 56.2 and can be classified as a Class III. The average concentration of DO, BOD, COD, AN and TSS at Sungai Sebulung were 3.88 mg/L, 10.7 mg/L, 54 mg/L, 3.78 mg/L and 26.2 mg/L respectively. The result obtained shows the quality of Sungai Sebulung is the same compared to 2016

scholarly journals Water Quality Monitoring in Inle Lake, Myanmar from the Floating Garden Activity

2021 ◽  
Vol 17 (5) ◽  
pp. 593-608
Author(s):  
Theingi Khaung ◽  
Chuleemas Boonthai Iwai ◽  
Thammared Chuasavathi ◽  
Thammared Chuasavathi
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
Agricultural Practices ◽  
The Other ◽  
Lake Surface ◽  
Good Agricultural Practices

Inle Lake is the second largest inland lake in Myanmar. Floating gardens, mostly for tomato cultivation, are a unique and profitable method of agriculture used by people living on and around the lake. This study investigated the water quality of Inle Lake and how it has been affected by the different agricultural practices used in tomato cultivation on floating garden beds, by measuring pollution levels. Water samples were collected from the sites representing two types of agricultural practice from four villages. The first was designated as being grown under good agricultural practices (GAP), and the other as under non-good agricultural practices (non-GAP), with this study undertaken during wet season, 2019 and dry season, 2020. Two additional sets of water samples were collected as references. One of these sets was from the center of the lake and the other from an inlet stream to the lake. All water samples were analyzed for physical and chemical properties. The results found that Ca2+, Mg2+ and HCO3- were dominant in the lake surface water. The results showed significant differences in the mean values for some water quality parameters between the GAP and non-GAP of each study sites in both seasons. In particular, nutrient pollution from chemicals such as nitrogen and phosphorus from the non-GAP were significantly higher than those from GAP. Water quality index was calculated to describe the overall quality of lake surface water. It was observed that the water quality was almost threatened in the floating garden areas.  In comparison between two practices, the non-GAP gave the higher water quality index value than the GAP. This investigated that poor management of fertilizers usage has had a negative effect on the water quality of the lake. The differences seen in water quality from the GAP and non-GAP areas, point to ways to successfully manage sources of water pollution in order to better conserve the lake by sustainable agricultural production.

scholarly journals Comparison of Water Quality and Heavy Metals Concentration between Lata Janggut and Lata Keding, Jeli, Kelantan

2021 ◽  
Vol 8 (1) ◽  
pp. 17-23
Author(s):  
Nur Hanisah Abdul Malek ◽  
Nur Madihah Mohd Isa ◽  
Nurul Syazana Abdul Halim ◽  
Amal Najihah Muhamad Nor
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Class Iii ◽  
Chemical Parameters ◽  
Quality Change ◽  
Body Contact ◽  
Water Quality Change ◽  
Physical And Chemical

Water quality change is caused by indirectly or directly sources such as human activities,uncontrolled sewage, or heavy metals and sediments. This study was conducted at two famousecotourism places in Jeli, Kelantan which are Lata Janggut and the new ecotourism place, LataKeding. The main objective of this study is to compare water quality index and heavy metals at thecascades. Twelve samples were collected from two points which are flowing water and stagnantwater in each cascade. Mann Whitney test was used to determine whether there are significantdifferences in concentration of each physical and chemical parameters between Lata Keding andLata Janggut. Spearman correlation was also used to determine the relationships between physicaland chemical parameters. This study found that Water Quality Index (WQI) in Lata Janggut is 69.07(Class III) and Lata Keding is 71.75 (Class III) which means that the water quality was slightlypolluted for both cascades. Therefore, Lata Janggut and Lata Keding require extensive treatment ifit will be used for water supply but still under control and safe to had body contact with the water.However, further monitoring are needed to avoid any environmental issues arise.

scholarly journals Pollution mapping in the urban segment of a tropical river: is water quality index (WQI) enough for a nutrient-polluted river?

2019 ◽  
Vol 9 (8) ◽  
Author(s):  
Kashifa Iqbal ◽  
Shamshad Ahmad ◽  
Venkatesh Dutta
Keyword(s):  
Water Quality ◽  
Biochemical Oxygen Demand ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Sediment Oxygen Demand ◽  
Tropical Rivers ◽  
Polluted River ◽  
Gomti River

Abstract Most of the tropical rivers of the world are being affected by multiple sources of pollution. The intensity of pollution is much bigger in the urban stretches due to discharge of untreated or partially treated sewage. A rapid and cost-effective tool is required for identification of water quality problems and their spatial variation for determining the main pollution sources and to detect relationships between various parameters. For this study, Gomti River, a major tributary of River Ganges, India, was considered which has gained substantial attention because of increasing anthropogenic pollution loads that has badly affected its water quality and ecosystem functions. The urban segment is polluted with organic substances, nutrients and heavy metals. The study provides an overview of the quality of water in the Gomti River through water quality index (WQI) and multivariate statistical techniques to check if WQI is enough for a nutrient-polluted river in the urban stretch. The study suggests that periodic monitoring and the water quality index development are not enough as it does not incorporate all the aspect of a rivers water quality. The separate assessment of nitrogenous biochemical oxygen demand, carbonaceous biochemical oxygen demand, sediment oxygen demand and the nitrification inhibition aspects are required to be integrated when developing a WQI. Present study illustrates that water quality of Gomti River has gradually worsened from upstream and downstream to middle stretch. The middle stretch was found to be most polluted as the major drains are concentrated within this stretch. Principal component analysis/factor analysis (PCA/FA) helped in obtaining and recognizing the factors/sources accountable for river water quality differences in the study area. The findings are useful for the decisions regarding water quality management and this can also be applied for speedy and low-cost assessment of water quality of the polluted urban stretch of other tropical rivers for better environmental management and planning perspective.

Preliminary Study on Benthic Macroinvertebrates Distribution and Assemblages at Lata Meraung Waterfall, Pahang, Malaysia

2015 ◽  
Vol 72 (5) ◽  
Author(s):  
Sharifah Aisyah, S. O. ◽  
Aweng, E. R. ◽  
Razak, W. ◽  
Ahmad Abas, K.
Keyword(s):  
Benthic Macroinvertebrates ◽  
Calculated Result ◽  
Mesh Size ◽  
The Other ◽  
Biotic Index ◽  
Ecological Indices ◽  
Other Hand ◽  
Abundant Taxon ◽  
Preliminary Study

This study aimed to identify the distribution and assemblages of benthic macroinvertebrates at Lata Meraung Waterfall, Pahang, Malaysia. Benthic macroinvertebrates were collected between 11-12 February 2014 from three stations located at upstream, midstream and downstream of the river. Benthic macroinvertebrates were collected by using Surber net with 500 micron mesh size combined with a rectangular quadrate with the size of 30 cm x 30 cm. The ecological indices (richness, diversity, dominant, and evenness) and benthic biotic index (Ephemeroptera, Plecoptera and Trichoptera or EPT) were calculated. Result shows that, the study area was dominated by insects where a total of 1,287 individuals from 27 taxa of insects were collected. The most abundant taxon was Hydropsychidae (Trichoptera) which contributed about 20% of total individuals. On the other hand, all stations recorded the present of sensitive organisms namely Ephemeroptera, Plecoptera and Trichoptera (EPT) but Trichoptera (Hydropsichidae) was the most abundant with 264 individuals. However, Ephemeroptera was the most diverse with seven families as compared to Plecoptera and Trichoptera. The assemblages of benthic macroinvertebrates were abundance at the downstream as compared to upstream. This was due to the composition of substrates such as sand, pebble, and cobble which are lesser at the upstream river.

WATER QUALITY CLASSIFICATION BASED ON WATER QUALITY INDEX IN SUNGAI LANGAT, SELANGOR, MALAYSIA

2015 ◽  
Vol 77 (30) ◽  
Author(s):  
Salleh Ahmad ◽  
Ahmad Abas Kutty ◽  
Fauziah Raji ◽  
Intan Sazrina Saimy
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Statistical Correlation ◽  
Class Iii ◽  
Average Value ◽  
River Classification ◽  
Quality Classification ◽  
Water Quality Classification

A study to determine the Water Quality Index (WQWQII) of Sungai Langat was conducted in which 10 sampling stations were selected. Water quality samples were taken according to the standard methods recommended by the American Public Health Association (APHA) and manual HATCH for the lab tests. The measurements done on site were to obtain reading parameters such as temperature, pH and dissolved oxygen (DO) levels using the meter YSI 556 MPS. Laboratory analysis was conducted to get parameter readings such as total suspended solids (TSS), biochemical oxygen demand (BOD5), chemical oxygen demand (COD) and ammoniacal-nitrogen (NH3-N). All the parameters tested were the sub index needed in the calculation of the water quality classification.  River classification is done according to the National Water Quality Index (WQS). The Pearson statistical correlation analysis was carried out to show the relationship between the sub-index parameter of (0.01) and the sampling stations for all parameters studied. Stations 1 and 2 were categorized in class I with an average value of (93.55 ± 2.27) and (92.56± 2.54) respectively. Station 3 recorded an average WQI reading of (91.55 ± 2.33) in class II while stations 4 to 10 recorded readings from (76.03 ± 4.72) to (68.60 ± 4:51) in class III. Generally the results show that the Water Quality Index from the sampling stations are categorized between classes I to III.

Sign in / Sign up

Export Citation Format

Share Document