scholarly journals TROPICAL REHABILITATION FOREST CONTROL ON WATER CHEMISTRY PATTERN IN BINTULU SARAWAK MALAYSIA

2021 ◽  
Vol 84 (1) ◽  
pp. 57-75
Author(s):  
Noraini Rosli ◽  
Geoffery James Gerusu ◽  
Roland Kueh Jui Heng
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Major Ions ◽  
Positive Impact ◽  
Petroleum Refinery ◽  
Stream Water ◽  
Rapid Development ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Toxic Heavy Metals

With rapid development in South East Asian countries, there is a risk of serious degradation of stream water quality in areas  adjacent to developing city areas, where basic information on toxic heavy metals and acidic compounds (NO3- and SO42-) concentrations and spatiotemporal variation is still unknown in these areas. The concentrations of water quality parameters, major ions, and heavy metals were examined from selected stream in a rehabilitation forest near a developing city having petroleum refinery facility in Bintulu, Sarawak, Malaysia. The concentrations of water quality parameters, major ions, and heavy metals were examined from twelve stream locations in a rehabilitation forest near a developing city with a  petroleum refinery facility. Analyses suggested that there is no clear tendency that is detected in  heavy metals and basic water properties (EC, DO, BOD, COD, alkalinity and pH) except for turbidity, total suspended solids,  and major ion which were high during rainy seasons. Annual means of SO42-, NO3- and NH₄⁺ concentrations were 6.34, 1.05 and 0.24 mg/L. The concentration in K+, Mg2+, Na+ and Ca2+ were 0.61, 1.21, 2.82 and 1.12 mg/L during hot and rainy season. The mean  concentration in almost all heavy metals (Mn, Fe, Cu, Zn) were less than 0.01 mg/L. The concentrations of water quality variables in all samples collected across the seasons except for turbidity found within the permissible limit by the WHO and NWQS for Malaysia. Rehabilitation forest might give a positive impact in preserving water quality especially for COD and major ions except SO42-.

scholarly journals Assessment of Phytoremediation Potential of Chara vulgaris to Treat Toxic Pollutants of Textile Effluent

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Pooja Mahajan ◽  
Jyotsna Kaushal ◽  
Arun Upmanyu ◽  
Jasdev Bhatti
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Textile Effluent ◽  
Toxic Heavy Metals ◽  
Remarkable Change ◽  
Visible Absorption ◽  
Chara Vulgaris ◽  
Aquatic Flora

Textile effluent released into water bodies is prone to be toxic for aquatic flora and fauna. In the present study, the phytoremediation potential of Chara vulgaris (C. vulgaris) is investigated for treatment of textile effluent. The highly concentrated and toxic textile effluent is diluted to different concentrations 10%, 25%, 50%, and 75% to check the accessibility of macroalgae to bear pollutant load of textile effluent. The toxicity of textile effluent is analysed by determining different water quality parameters, namely, pH, TDS, BOD, COD, and EC. The maximum reductions in TDS (68%), COD (78%), BOD (82%), and EC (86%) were found in the 10% concentrated textile effluent after 120 h of treatment. The highly concentrated textile effluent showed its toxic effect on macroalgae and it was found unable to show a remarkable change in water quality parameters of 75% and 100% textile effluent. The correlation coefficient values are determined using correlation matrix to identify the high correlation between different water quality parameters. The removal of toxic organic pollutants by C. vulgaris was confirmed by using UV-visible absorption spectra. Typical X-ray spectra recorded using EDXRF technique indicated the presence of heavy metals Cd in the dried sample of macroalgae after treatment which show its capability to remove toxic heavy metals from textile effluent. The reliability model has been proposed for treated textile effluents to identify percentage level of toxicity tolerance of waste water by macroalgae.

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)

scholarly journals Assessment of Physicochemical Water Quality Parameters and Heavy Metals Concentration in Water Samples from Buriganga River Adjacent to Dhaka City

2017 ◽  
Vol 9 (2) ◽  
pp. 97-104
Author(s):  
MMM Hoque ◽  
PP Deb
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
River Water ◽  
Water Samples ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Water Quality Parameter ◽  
Dhaka City ◽  
Standard Level ◽  
Buriganga River

This study was conducted to know the status of physicochemical water quality parameter and heavy metal concentration in the water of Buriganga river, adjoining to Dhaka city. Water samples were collected from five different points of Buriganga river and were analyzed to determine pH, electrical conductivity (EC), total dissolved solids (TDS), dissolved oxygen (DO), biological oxygen demand (BOD), chromium (Cr), lead (Pb), cadmium (Cd), copper (Cu) and manganese (Mn) content. Most of the measured water quality parameters and concentration of heavy metals were exceeded the standard level set by ECR and ADB. Among heavy metals concentration, level of chromium and cadmium were 4-5 times higher than the standard drinking level, these results indicate that surrounding industrial wastewater discharging from textile and tannery industries, which pollute the Buriganga river water. During the observation, at Hazaribagh station BOD level was found 32 times higher than drinking water standard level and 6 times higher than standard irrigation level, indicating Buriganga river water is extremely polluted by microorganism and is not suitable for household and irrigational use. Similarly, DO level at Buriganga river water was 5 times lower than the standard level, which indicates that Buriganga river water is extremely polluted and is unsuitable for aquatic life which are dependent on DO for their sustain. In the present study, the measured level of EC, chromium, cadmium and copper were found higher level as compare to the previous studies.J. Environ. Sci. & Natural Resources, 9(2): 97-104 2016

Determination of Heavy Metals and Other Water Quality Parameters from the South China Sea

2014 ◽  
Vol 48 (1) ◽  
pp. 204-212 ◽  
Author(s):  
Jingxi Li ◽  
Li Zheng ◽  
Xiaofei Yin ◽  
Junhui Chen ◽  
Bin Han ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
South China Sea ◽  
South China ◽  
Quality Parameters ◽  
The South China Sea ◽  
Water Quality Parameters ◽  
The South ◽  
China Sea

scholarly journals Local determinants influencing stream water quality

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Aadil Hamid ◽  
Sami Ullah Bhat ◽  
Arshid Jehangir
Keyword(s):  
Water Quality ◽  
Multiple Scales ◽  
Stream Water ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Anthropogenic Factors ◽  
Special Role ◽  
Stream Water Quality ◽  
Environmental Pressures ◽  
Natural And Anthropogenic Factors

AbstractIt is important to have reliable information on various natural and anthropogenic factors responsible for influencing and shaping stream water quality parameters as long as water resource conservation and management planning are concerned from the local to global scale. Daunting environmental pressures at multiple scales makes this necessity more pronounced owing to the special role of stream ecosystems in providing regional services. Understanding how coupled effect of natural and anthropogenic factors controls stream water quality parameters and how the relationships change over space and time will help policy makers and resource managers to target appropriate scales at watershed level for the quality management of stream waters. This paper sums up the information on various natural and anthropocentric factors as major determinants responsible for conditioning and shaping stream water quality parameters and their simultaneous influence on biota and its use.

Study of Relationship between Water Quality Parameters, Selective Heavy Metals and Radioactive Elements Content in Rivers at Gebeng, Kuantan, Pahang, Malaysia

2018 ◽  
Vol 31 (2) ◽  
pp. 433-437
Author(s):  
Siti Umi Kalthum Ab Wahab ◽  
Kamaruzzaman Yunus ◽  
Mohd Armi Abu Samah ◽  
Mohd Shukri Mohd Aris ◽  
Asnor Azrin Sabuti
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Radioactive Elements

scholarly journals Establishment of an Automatic Real-Time Monitoring System for Irrigation Water Quality Management

2020 ◽  
Vol 17 (3) ◽  
pp. 737 ◽  
Author(s):  
Wei-Jhan Syu ◽  
Tsun-Kuo Chang ◽  
Shu-Yuan Pan
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Management ◽  
Real Time ◽  
Monitoring System ◽  
Irrigation Water ◽  
Water Quality Management ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Irrigation Water Quality

In order to provide the real-time monitoring for identifying the sources of pollution and improving the irrigation water quality management, the integration of continuous automatic sampling techniques and cloud technologies is essential. In this study, we have established an automatic real-time monitoring system for improving the irrigation water quality management, especially for heavy metals such as Cd, Pb, Cu, Ni, Zn, and Cr. As a part of this work, we have first provided several examples on the basic water quality parameters (e.g., pH and electrical conductance) to demonstrate the capacity of data correction by the smart monitoring system, and then evaluated the trend and variance of water quality parameters for different types of monitoring stations. By doing so, the threshold (to initiate early warming) of different water quality parameters could be dynamically determined by the system, and the authorities could be immediately notified for follow-up actions. We have also provided and discussed the representative results from the real-time automatic monitoring system of heavy metals from different monitoring stations. Finally, we have illustrated the implications of the developed smart monitoring system for ensuring the safety of irrigation water in the near future, including integration with automatic sampling for establishing information exchange platform, estimating fluxes of heavy metals to paddy fields, and combining with green technologies for nonpoint source pollution control.

Application of Correlation and Regression Models in Predicting the Physico-chemical Quality of Groundwater from Insitu Measured Parameters

2021 ◽  
Vol 6 (6) ◽  
pp. 19-38
Author(s):  
J. E. Agori ◽  
H. U. Nwoke ◽  
B. C. Okoro ◽  
B. U. Dike
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Correlation Coefficient ◽  
Regression Models ◽  
Correlation Coefficients ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Analysis Tool ◽  
Regression Equations ◽  
Physico Chemical

Groundwater is the major source of municipal and private potable water supply for meeting the drinking, domestic, agricultural and industrial requirements on man around the world. The cost of analyzing water quality in the laboratory to ascertain its potability is usually high and sometimes not available. Groundwater samples were collected from fifty (50) spatially referenced bore well locations in Warri and its environs in the dry and wet seasons (November 2019 to January 2020) in the study area. The water samples were analyzed for twenty-six (26) physical, chemical and bacteriological parameters both in the field and laboratory in line with APHA standard procedures for testing water and waste water inorder to evaluate the status of potability of groundwater across Warri, Delta State Nigeria. The data analysis tool in Microsoft Excel was used to explore and study the interrelationship between some conservative parameters measured in the field (pH, EC, TDS, and DO) as independent variables and some cations, anions and heavy metals (Na, Mg, Ca, HCO3, SO4 Cl, Fe, Cd, Cr, Cu and Pb) analysed in the laboratory as dependent variables. The results obtained from the parameters analysed insitu in the field which are cheap to perform and easily affordable were used to check and evaluate and the inter-relationships with some cations, anions and heavy metals. Highly correlated water quality parameters were determined by correlation coefficient (R) values obtained from correlation matrix and related by Regression equations (models). The regression models can be adopted to predict the concentration of these cations, anions and heavy metals before the rigorous laboratory analysis, to serve as a quick check for concentration of most disease-causing pollutants and to save time, money and resources, especially the near absence of AAS for analysing heavy metals in a good number of laboratories. The regression models developed in the study can be used for monitoring the water quality parameters by knowing the concentration of independent parameters obtained in the field alone. There is a relationship between variables which show that one variable actually causes changes in another variable. It was observed that multiple regression models can predict most parameters at 5% level of significance. Significantly positive correlation at 1 and 5% was found between many parameters. This technique studied and calculated the correlation coefficients between various physico-chemical parameters of drinking water and provided an excellent device for the calculation of parameter values within realistic degree of accuracy. The results proved to be easiest, useful, and rapid means for monitoring of water quality with the help of systematic calculations of correlation coefficient. It is recommended to treat groundwater prior to domestic use.

Sign in / Sign up

Export Citation Format

Share Document