Comparative Analysis on Offshore Water Quality Status: A Case Study of Haizhou Bay, China

2011 ◽  
Vol 204-210 ◽  
pp. 1467-1471
Author(s):  
Ben Lin Dai ◽  
Zu Lin Hua ◽  
Xu Hua Yu ◽  
Xiao Hui Jiang ◽  
Ke Jian Chu ◽  
...  
Keyword(s):  
Water Quality ◽  
Comparative Analysis ◽  
Anthropogenic Activities ◽  
Principal Component ◽  
Impact Factors ◽  
Haizhou Bay ◽  
Water Quality Status ◽  
Quality Status ◽  
Offshore Region

The offshore region of Haizhou Bay is characterized by intense anthropogenic activities. And the study on comparative analysis of water quality status in this offshore region has attracted more and more attention of the researchers and decision-makers. In this paper, comparative analysis on water quality status of different samples in Haizhou Bay during May 10-21, 2007 was studied by principal component analysis method (PCAM). The water quality status in Haizhou Bay was compared and analyzed by using 13 samples, with DO, SS, Active Phosphate and Petroleum impact factors. Based on the PCAM analysis procedures, the comparative analysis results of water quality state in Haizhou Bay show that the spatial order from good to bad is determined as follows: JS03> JS01> JS04> JS07> JS02> JS09> JS05> JS06> JS13> JS10> JS12> JS08> JS11.

Water Quality Analysis on Haizhou Bay Water Area of China Using the PPCM-PCAM Method

2012 ◽  
Vol 554-556 ◽  
pp. 2116-2119
Author(s):  
Ben Lin Dai ◽  
Fei Hu Mu ◽  
Ning Xu
Keyword(s):  
Water Quality ◽  
Anthropogenic Activities ◽  
Water Area ◽  
Quality Analysis ◽  
Improved Method ◽  
Water Quality Analysis ◽  
Haizhou Bay ◽  
Water Quality Status ◽  
Quality Status ◽  
Offshore Region

The offshore region of Haizhou Bay is characterized by intense anthropogenic activities. And the study on water quality status analysis in this offshore region has attracted more and more attention of the researchers and decision-makers. In this paper, an improved method (the PPCM-PCAM) which combines projection pursuit cluster model (PPCM) with principal component analysis method (PCAM) was developed to analysis water quality status. By using this improved method, water quality analysis of Haizhou Bay water area from January 2007 to December 2007 was studied. The analysis results show that the samples in Haizhou Bay water area can be described into 4 "category 1”, 4 “category 2” and 2 “category 3” states in 2007.

A multivariate analysis of water quality in Lake Naivasha, Kenya

2015 ◽  
Vol 66 (2) ◽  
pp. 177 ◽  
Author(s):  
Jane Ndungu ◽  
Denie C. M. Augustijn ◽  
Suzanne J. M. H. Hulscher ◽  
Bernard Fulanda ◽  
Nzula Kitaka ◽  
...  
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Close Association ◽  
Sampling Site ◽  
Principal Component ◽  
Component Analysis ◽  
Northern Region ◽  
Lake Naivasha ◽  
Water Quality Status ◽  
Quality Status

Water quality information in aquatic ecosystems is crucial in setting up guidelines for resource management. This study explores the water quality status and pollution sources in Lake Naivasha, Kenya. Analysis of water quality parameters at seven sampling sites was carried out from water samples collected weekly from January to June and biweekly from July to November in 2011. Principal component analysis (PCA) and cluster analysis (CA) were used to analyse the dataset. Principal component analysis showed that four principal components (PCA-1 to PCA-4) explained 94.2% of the water quality variability. PCA-1 and PCA-2 bi-plot suggested that turbidity in the lake correlated directly to nutrients and iron with close association with the sampling site close to the mouth of Malewa River. Three distinct clusters were discerned from the CA analysis: Crescent Lake, a more or less isolated crater lake, the northern region of the lake, and the main lake. The pollution threat in Lake Naivasha includes agricultural and domestic sources. This study provides a valuable dataset on the current water quality status of Lake Naivasha, which is useful for formulating effective management strategies to safeguard ecosystem services and secure the livelihoods of the riparian communities around Lake Naivasha, Kenya.

scholarly journals Water quality status of an urban lake in the dry season from 2017 to 2020 (Situ Gintung, Banten Province, Indonesia)

2020 ◽  
Vol 211 ◽  
pp. 03008
Author(s):  
Sinta Ramadhania Putri Maresi ◽  
Tri Edhi Budhi Soesilo ◽  
Ami Aminah Meutia
Keyword(s):  
Water Quality ◽  
Sampling Method ◽  
Anthropogenic Activities ◽  
General Information ◽  
Dry Season ◽  
Domestic Waste ◽  
Water Quality Status ◽  
Quality Status

Urban lakes are experiencing various kinds of problems because of the anthropocentrism of environmental management. This also happens in Situ Gintung, Indonesia. This lake is polluted by many pollutants from urban activities, such as the entry of domestic waste into waters due to anthropogenic activities and the amount of leftover food not consumed by fisheries. These problems can be solved by observing the water quality of Situ Gintung to provide information about parameters that have exceeded environmental quality standards and provide general information about the water quality in the dry season from 2017 to 2020. The research is done using a purposive sampling method and determining water quality status with the STORET method based on the Indonesian standard with parameters less than ten. As a result, Situ Gintung water is neither classified as class I, II, III, and IV nor be utilized for consumption, recreation, fisheries, and irrigation because the quality status is mostly in the heavily polluted category. Furthermore, the three highest polluters from each class are BOD5, COD, and a total of Coliform.

scholarly journals Drinking Water Quality Status and Contamination in Pakistan

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
M. K. Daud ◽  
Muhammad Nafees ◽  
Shafaqat Ali ◽  
Muhammad Rizwan ◽  
Raees Ahmad Bajwa ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Anthropogenic Activities ◽  
Water System ◽  
Primary Source ◽  
Drinking Water Quality ◽  
Secondary Source ◽  
Waterborne Diseases ◽  
Water Quality Status ◽  
Quality Status

Due to alarming increase in population and rapid industrialization, drinking water quality is being deteriorated day by day in Pakistan. This review sums up the outcomes of various research studies conducted for drinking water quality status of different areas of Pakistan by taking into account the physicochemical properties of drinking water as well as the presence of various pathogenic microorganisms. About 20% of the whole population of Pakistan has access to safe drinking water. The remaining 80% of population is forced to use unsafe drinking water due to the scarcity of safe and healthy drinking water sources. The primary source of contamination is sewerage (fecal) which is extensively discharged into drinking water system supplies. Secondary source of pollution is the disposal of toxic chemicals from industrial effluents, pesticides, and fertilizers from agriculture sources into the water bodies. Anthropogenic activities cause waterborne diseases that constitute about 80% of all diseases and are responsible for 33% of deaths. This review highlights the drinking water quality, contamination sources, sanitation situation, and effects of unsafe drinking water on humans. There is immediate need to take protective measures and treatment technologies to overcome unhygienic condition of drinking water supplies in different areas of Pakistan.

scholarly journals A preliminary study of marine water quality status using principal component analysis at three selected mangrove estuaries in East Coast Peninsular Malaysia

2017 ◽  
Vol 13 (4) ◽  
pp. 764-768 ◽  
Author(s):  
Saiful Iskandar Khalit ◽  
Mohd Saiful Samsudin ◽  
Azman Azid ◽  
Kamaruzzaman Yunus ◽  
Muhammad Amar Zaudi ◽  
...  
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
East Coast ◽  
Principal Component ◽  
Component Analysis ◽  
Peninsular Malaysia ◽  
Marine Water ◽  
Mangrove Estuary ◽  
Water Quality Status ◽  
Quality Status

This research presents marine water quality status in three different mangrove estuaries. The objective of this study is to evaluate the surface water quality of three estuaries in east coast Peninsular Malaysia. The parameters measured were Dissolved Oxygen (DO), pH, Biochemical Oxygen Demand (BOD), total dissolved solid (TDS), ammonium (NH4-N), turbidity (TUR), total suspended solid (TSS) and coliform. Monthly sampling was performed during the dry season, from June 2016 until September 2016. Data were analysed using principal component analysis (PCA). PCA yielded two PCs where VF1 forms strong factor loadings for pH, NH4-N, SAL, and TDS signifying saltwater intrusion in mangrove area. VF2 designed strong factors of BOD, TUR and Coliform and strong negative loading of DO indicating anthropogenic pollutions in the area. This study output will be a baseline setting for future studies in mangrove estuary marine water quality. Mangrove marine water samples of future monitoring studies in mangrove estuary will benefit by enabling understanding of pollution loading and coastal water quality. It is essential to plan a workable water quality modelling as powerful tool to simulate marine water quality and forecast future consequences to facilitate mangrove biodiversity conservation.

scholarly journals SPATIAL AND TEMPORAL VARIATIONS OF GROUNDWATER QUALITY IN ABEOKUTA CITY, NIGERIA

2020 ◽  
Vol 18 (1) ◽  
pp. 32-49
Author(s):  
GRACE OLUWASANYA ◽  
ADEBAYO SADIQ
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Anthropogenic Activities ◽  
Temporal Variations ◽  
Quality Data ◽  
Spatial And Temporal Variation ◽  
Ogun State ◽  
Water Quality Status ◽  
The City ◽  
Quality Status

The quest for safe drinking-water is very high in the ongoing period of environmental pollution. Generally, anthropogenic activities resulting from increasing population and urbanization are major sources of pollution to groundwater. This paper assesses the variation in groundwater distribution in Abeokuta city, Ogun State, Nigeria to determine the water quality status. Secondary groundwater quality data across a period of fifteen years (2001 – 2015) were retrieved from the database of the Department of Water Resources Management and Agro-meteorology, Federal University of Agriculture, Abeokuta, Nigeria to establish the status and examine the spatial and temporal variation. The data was subjected to statistical and geo-statistical analysis. Results showed that temperature, pH and electrical conductivity have a dominant range of 28.0 – 29.9 ºC, 7.01 – 7.50 and 201 – 600 µS/cm, respectively. The major cations Ca2+, Mg2+, Na+ and K+ have respective dominant concentration range from below detection limit (bdl) – 80mg/L, bdl – 30mg/L, 11 – 20 mg/L and bdl – 10 mg/L, while the major anions Cl-, HCO3-, NO3- and SO42- have respective dominant concentration range of 11 – 30, 101 – 200, 1.60 – 4.00 and bdl – 10 mg/L. High (> 1000 µS/cm) conductivity values are detected in parts of the city, which may be due to high concentrations of magnesium, calcium, potassium, chloride and bicarbonate. Only few parts (5.7%) of the city have poor water quality status, while groundwater quality in about 45.7% and 48.6 % of the city may be classified as good and excellent water quality, respectively. The spatial trend showed that groundwater in the core townships of Abeokuta such as Itoku and the environs should not be encouraged for direct consumption without prior treatment. But generally, the groundwater in most part of Abeokuta metropolis is safe for domestic use, though requires some form of household treatment before drinking.    

Water Quality Status of Mula-Mutha River

2012 ◽  
Vol 3 (4) ◽  
pp. 75-77
Author(s):  
Prof. A.B. More Prof. A.B. More ◽  
◽  
Prof. C.S. Chavan Prof. C.S. Chavan ◽  
Ajoy Gurung ◽  
Pramod Sarwade ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Status ◽  
Quality Status
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