scholarly journals Impact of Hydrological Study to Water Quality Status in Kuantan River, Pahang, Malaysia

2018 ◽  
Vol 7 (3.14) ◽  
pp. 35 ◽  
Author(s):  
Frankie Marcus Ata ◽  
Mohd Khairul Amri Kamarudin ◽  
Nadzifah Yaakub ◽  
Noorjima Abd. Wahab ◽  
Mohd Ekhwan Toriman ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Index ◽  
Quality Standard ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Band Erosion ◽  
Bed Sediments ◽  
Resources Management ◽  
Water Quality Status ◽  
The Stability

Water is a vital for all aspects of human and ecosystem survival. The evaluations of water quality parameters and hydrological status are necessary to enhance the performance of an assessment operation and develop better water resources management and plan. There are three sampling stations were selected along the Kuantan River. Seven water quality parameters were measured and Malaysian Department of Environment Water Quality Index (DOE-WQI) was calculated and classified based on the National Water Quality Standard, Malaysia (INWQS). The water balance status applied to determine the stability of inflows and outflows into and from the basin. As a result, all water quality parameters (DO, COD, BOD, TSS, NH3-N and pH) which categorized under the ranged of class II until class IV respectively. Kuantan River located in Pahang state, Malaysia which is significantly degrading due to human activities as well as urbanization in and within the area. Overall, the result showed that the estimated average sediment that flows out of Kuantan Rivers is 108.88tonnes/day (24 February 2017) and 44.917 tonnes/day (30 April 2017). The contributors of sedimentation problems in Kuantan River are from unsustainable land use such as urbanization and industrialization which trapping the bed sediments and river band erosion.  

scholarly journals A study on ground water quality of industrial area at Gajraula (U.P.), India

2009 ◽  
Vol 1 (2) ◽  
pp. 275-279 ◽  
Author(s):  
D. S. Malik ◽  
Pawan Kumar ◽  
Umesh Bharti
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
Analytical Techniques ◽  
Industrial Area ◽  
Quality Standard ◽  
Quality Parameters ◽  
Marginal Values

The present study aims to identify the ground water contamination problem in villages located in the close vicinity of Gajraula industrial area at Gajraula (U.P.), India. Ground water samples were collected from different villages at the depth of 40 and 120 feet from earth’s surface layer. Analytical techniques as described in the standard methods for examination of water and waste water were adopted for physico-chemical analysis of ground water samples and the results compared with the standards given by WHO and BIS guidelines for drinking water. Water quality index was calculated for quality standard of ground water for drinking purposes. The present investigation revealed that the water quality is moderately degraded due to high range of seven water quality parameters such as Temperature (18.33-32.36 0C), conductivity (925.45-1399.59 μmho/cm), TDS (610.80-923.73 mgL-1), Alkalinity (260.17- 339.83 mgL-1), Ca-Hardness (129.68-181.17 mgL-1), Mg-Hardness (94.07-113.50 mgLÉ1) and COD (13.99-25.62 mgL-1). The water quality index (WQI) also indicated the all the water quality rating comes under the standard marginal values (45-64) i.e. water quality is frequently threatened or impaired and conditions usually depart from natural or desirable levels.

scholarly journals Investigation of surface water quality of the Buriganga river in Bangladesh: Laboratory and spatial analysis approaches

2019 ◽  
Vol 28 (2) ◽  
pp. 147-158
Author(s):  
Mohammad Saiful Islam ◽  
Romana Afroz ◽  
Md Bodruddoza Mia
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Standard ◽  
Quality Parameters ◽  
Average Concentration ◽  
Water Quality Parameters ◽  
Economic Implications ◽  
Permissible Limits ◽  
Buriganga River

This work has been conducted to evaluate the water quality of the Buriganga river. In situ water quality parameters and water samples were collected from 10 locations in January 2016 and analyzed later in laboratory for water quality parameters such as pH, Eh, EC, TDS, cations (Na+, K+, Ca2+, Mg2, As3+), anions (Cl-, HCO3-, NO2-, NO3-, SO42-, F-, Br-, PO43-), heavy metals (Cr2+, Pb2+, Zn2+, Cd+2, Fe2+, Mn2+) to see whether or not the level of these parameters are within the permissible limits. The average values of pH, Eh, EC and temperature were 7.31, –214.9 mV, 928.9 μs/cm and 21.4°C, respectively; the average concentration of Na+, K+, Ca2+, Mg2+, and As3+ were 109.62, 13.38, 46.78, 13.98 and 0.018 mg/l, respectively, while the concentrations of Cl-,HCO3-, PO43-, SO42-, NO3-, NO2-, F and Br -were 79, 331.06, 2.22, 84.32, 0.0254, 0.058, 0.224 and 0.073 mg/l, respectively; and the concentration of heavy metals Pb2+, Zn2+, Fe2+ and Mn2+were 0.28, 0.053, 0.17 and 0.23 mg/l, respectively. The study indicates that most of the parameters are within the permissible limits set by Bangladesh water quality standard. The concentrations of K+, Mn2+, and Pb2+ were beyond the permissible limits meaning that that the water of Buriganga is not safe for drinking. The people living beside Buriganga river should be more cautious about using the polluted/contaminated river water. The concerned authorities should take urgent necessary steps to improve the degraded water quality of the river considering the ecological, environmental and economic implications associated with it. Dhaka Univ. J. Biol. Sci. 28(2): 147-158, 2019 (July)

Prediction of Water Quality Using Fuzzy Logic

2014 ◽  
Vol 955-959 ◽  
pp. 3310-3313
Author(s):  
Qiao Ling Du ◽  
Zeng Hua Ren ◽  
Zhen Ze Liu ◽  
Yi Ding Wang
Keyword(s):  
Water Quality ◽  
Fuzzy Logic ◽  
Historical Data ◽  
Prediction Method ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Wireless Sensor ◽  
Attractive Alternative ◽  
Quality Level ◽  
Water Quality Status

In this paper a fuzzy logic prediction method is proposed to assess water quality status of a reservoir in northeast China through wireless sensor networks. This model was used to analyze the historical data that were collected monthly by local monitoring stations and predict water quality level. Six water quality parameters of BOD5, COD, fluoride, ammonia, total phosphorus (TP), and total nitrogen (TN) were monitored from 2011 to 2012. This result indicated that the methodology adopted in this study was basically an attractive alternative, offering a relatively fast algorithm to predict the water quality parameters.

scholarly journals Evaluation of Water Quality of the Titas River Using NSF Water Quality Index

2010 ◽  
Vol 3 (1) ◽  
pp. 151 ◽  
Author(s):  
S. Islam ◽  
T. Rasul ◽  
J. Bin Alam ◽  
M. A. Haque
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Laboratory Tests ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Huge Amount ◽  
Water Quality Status ◽  
Quality Status

The Titas River, a trans-boundary river of Bangladesh flows almost the entire Brahmanbaria district, consumes a huge amount of sewage, agricultural discharges and runoff, waste produced from human excreta, discharges of two oil mills and contaminants from other minor sources. A study is conducted to find the water quality status of the river during the period from July 2008 to June 2009 and by using National Sanitation Foundation (NSF) water quality index, the probable use of this water is predicted. This work consists of laboratory tests for the evaluation of some water quality parameters of the Titas and to identify its probable use in various purposes. The results of the laboratory tests and NSF water quality index suggest that the water can be used for recreation, pisciculture and irrigation purposes but requires treatment before using for drinking.Keywords: Water pollution; Faecal coliform; Dissolved oxygen (DO); Biochemical oxygen demand (BOD).© 2011 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.doi:10.3329/jsr.v3i1.6170                 J. Sci. Res. 3 (1), 151-159 (2011)

scholarly journals Assessment of coastal surface water quality for irrigation purpose

2020 ◽  
Vol 15 (4) ◽  
pp. 960-972
Author(s):  
M. F. Serder ◽  
M. S. Islam ◽  
M. R. Hasan ◽  
M. S. Yeasmin ◽  
M. G. Mostafa
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Water Type ◽  
Post Monsoon ◽  
Irrigation Purpose

Abstract The study aimed to assess the coastal surface water quality for irrigation purposes through the analysis of the water samples of some selected estuaries, rivers, and ponds. The analysis results showed that the mean value of typical water quality parameters like electrical conductivity (EC), total dissolved solids (TDS), sodium (Na+), and chloride (Cl−) ions exceeded the permissible limit of the Department of Environment (DoE), Bangladesh 2010, and FAO, 1985 for the pre- and post-monsoon seasons. The Piper diagram indicated a Na-Cl water type, especially during the pre- and post-monsoon seasons. The water quality parameters in the areas showed a higher amount than the standard permissible limits, indicating that the quality is deteriorating. The water quality index values for domestic uses showed very poorly to unsuitable in most of the surface waters except pond water, especially during the pre- and post-monsoon periods. The surface water quality index for irrigation purpose usages was found to be high and/ or severely restricted (score: 0–55) during the pre- and post-monsoon seasons. The study observed that due to saline water intrusion, the water quality deterioration started from post-monsoon and reached its highest level during the pre-monsoon season, which gradually depreciates the water quality in coastal watersheds of Bangladesh.

STATUS BAKU MUTU AIR LAUT PERAIRAN TELUK AMBON LUAR UNTUK WISATA BAHARI KAPAL TENGGELAM SS AQUILA

2017 ◽  
Vol 13 (2) ◽  
pp. 139
Author(s):  
Guntur Adhi Rahmawan ◽  
Wisnu Arya Gemilang
Keyword(s):  
Water Quality ◽  
Sea Water ◽  
Pollution Index ◽  
Quality Standard ◽  
Quality Parameters ◽  
Water Pollution Index ◽  
Marine Tourism ◽  
Seawater Ph ◽  
Water Quality Status

Ambon Bay waters consist of two parts, Inner Ambon Bay and Outer Ambon Bay separated by a gap that is narrow and shallow. Ambon Bay has a lot of functionality and usability both in transportation, conservation, and tourism. The existence of one of the sites SS. Aquila sinking ship that sank since May 27, 1958, became one of the tourist attraction diving in Ambon Bay. Determination of water pollution index Ambon Bay becomes very important to do as support material and development of sea travel. Determining pollution index is done by direct measurement using the sea water quality parameters Water Quality Checker (DKK TOA WQC Type-24), as well as laboratory analysis to determine the chemical parameters of seawater (pH, TSS, salinity, turbidity, oil, grease). The results showed that the waters of the Bay of Ambon Affairs based on some parameters water quality standard for marine tourism is still included in accordance with the standard criteria by Keputusan Menteri Negara Lingkungan Hidup Nomor: 51 Tahun 2004 on Guidelines for Determination of Water Quality Status.

scholarly journals Water quality index as a tool for wetland restoration

Water Policy ◽  
2017 ◽  
Vol 19 (3) ◽  
pp. 390-403 ◽  
Author(s):  
Nitin Bassi ◽  
M. Dinesh Kumar
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Urban Areas ◽  
Quality Index ◽  
Action Plan ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Bodies ◽  
Water Quality Parameters ◽  
Anthropogenic Pressures

Worldwide, wetlands are subjected to increasing anthropogenic pressures resulting in loss of their hydrological and ecological functions. Such impacts are more pronounced in the case of wetlands in urban areas which are exposed to land use changes and increased economic activities. In many Indian cities, natural water bodies such as lakes are heavily polluted due to runoff from farmlands in urban and peri-urban areas and discharge of untreated domestic and industrial wastewater. The major constraint for restoring such water bodies is difficulty in devising a concrete action plan for analysing different sets of water quality parameters. Hence, a water quality index (WQI), which is a tool to analyse large amounts of data on different water quality parameters, is computed for one of the biggest natural lakes in the metropolitan city of Delhi. The mean WQI of the lake was estimated to be 46.27, which indicates a high level of water pollution. The paper discusses how these findings can be used for informing policies on management of wetlands. The paper also suggests establishment of a community based water quality monitoring and surveillance system, backed by infrastructural support from the State, in order to restore the wetlands in urban areas.

scholarly journals Spatiotemporal Analysis of Surface Water Quality in Dong Thap Province, Vietnam Using Water Quality Index and Statistical Approaches

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 336
Author(s):  
Nguyen Thanh Giao ◽  
Phan Kim Anh ◽  
Huynh Thi Hong Nhien
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
E Coli

The study was conducted to spatiotemporally analyze the quality, location and critical water variables influencing water quality using water monitoring data from the Department of Environment and Natural Resources, Dong Thap province in 2019. The water quality parameters including turbidity, pH, temperature, dissolved oxygen (DO), total suspended solids (TSS), biological oxygen demand (BOD), chemical oxygen demand (COD), nitrite (N-NO2−), nitrate (N-NO3−), ammonium (N-NH4+), total nitrogen (TN), orthophosphate (P-PO43−), chloride (Cl−), oil and grease, sulfate (SO42−), coliforms, and Escherichia coli (E. coli) were collected at 58 locations with the frequency of four times per year (February, May, August, and November). These parameters were compared with national technical regulation on surface water quality—QCVN 08-MT: 2015/BTNMT. Water quality index (WQI) was calculated and spatially presented by geographical information system (GIS) tool. Pearson correlation analysis, cluster analysis (CA), and principal component analysis (PCA) were used to evaluate the correlation among water quality parameters, group and reduce the sampling sites, and identify key parameters and potential water pollution sources. The results showed that TSS, BOD, COD, N-NH4+, P-PO43−, coliforms, and E. coli were the significant concerns impairing the water quality. Water quality was assessed from poor to medium levels by WQI analysis. CA suggested that the current monitoring locations could be reduced from 58 sites to 43 sites which can be saved the total monitoring budget up to 25.85%. PCA showed that temperature, pH, TSS, DO, BOD, COD, N-NH4+, N-NO2−, TN, P-PO43−, coliforms, and E. coli were the key water parameters influencing water quality in Dong Thap province’s canals and rivers; thus, these parameters should be monitored annually. The water pollution sources were possibly hydrological conditions, water runoff, riverbank erosion, domestic and urban activities, and industrial and agricultural discharges. Significantly, the municipal and agricultural wastes could be decisive factors to the change of surface water quality in the study area. Further studies need to focus on identifying sources of water pollution for implementing appropriate water management strategies.

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