DOMESTIC WATER QUALITY SURVEY IN THE PALANGKARAYA CITY, CENTRAL KALIMANTAN, INDONESIA

Proper water use requires its monitoring and evaluation. An indexes system of overall water use efficiency is constructed here that covers water consumption per 10,000 yuan GDP, the coefficient of effective utilization of irrigation water, the water consumption per 10,000 yuan of industrial value added, domestic water consumption per capita of residents, and the proportion of water function zone in key rivers and lakes complying with water-quality standards and is applied to 31 provinces in China. Efficiency is first evaluated by a projection pursuit cluster model. Multidimensional efficiency data are transformed into a low-dimensional subspace, and the accelerating genetic algorithm then optimizes the projection direction, which determines the overall efficiency index. The index reveals great variety in regional water use, with Tianjin, Beijing, Hebei, and Shandong showing highest efficiency. Shanxi, Liaoning, Shanghai, Zhejiang, Henan, Shanxi, and Gansu also use water with high efficiency. Medium efficiency occurs in Inner Mongolia, Jilin, Heilongjiang, Jiangsu, Hainan, Qinghai, Ningxia, and Low efficiency is found for Anhui, Fujian, Jiangxi, Hubei, Hunan, Guangdong, Guangxi, Chongqing, Sichuan, Guizhou, Yunnan, and Xinjiang. Tibet is the least efficient. The optimal projection direction is a* = (0.3533, 0.7014, 0.4538, 0.3315, 0.1217), and the degree of influence of agricultural irrigation efficiency, water consumption per industrial profit, water used per gross domestic product (GDP), domestic water consumption per capita of residents, and environmental water quality on the result has decreased in turn. This may aid decision making to improve overall water use efficiency across China.

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Water quality of Narai canal and Balu river of Dhaka City: An impact of industrialization

Journal of the Bangladesh Agricultural University ◽

10.3329/jbau.v12i2.28686 ◽

2016 ◽

Vol 12 (2) ◽

pp. 285-290 ◽

Cited By ~ 2

Author(s):

S Roy ◽

LN Banna ◽

M Hossain ◽

H Rahman

Keyword(s):

Water Quality ◽

Quality Parameter ◽

Parameter Analysis ◽

Effluent Treatment ◽

Water Quality Parameter ◽

Domestic Water ◽

Environmental Consideration ◽

Rapid Industrialization ◽

Standard Limit

Rapid industrialization around riverside without having proper environmental consideration causes severe water pollution in our country. On accordance with the consecution of this problem the study was conducted to investigate the water quality of Narai canal and Balu river during January to June, 2012. Water quality parameter analysis i.e. color, odor, pH, total dissolved solids (TDS), dissolved oxygen (DO), ammonium (NH4) results show that except pH all exceeded standard limit for domestic water use, irrigation and fish cultivation. The minimum and maximum values of pH, TDS, DO and NH4 were 6.89-7.33, 982-1308 ppm, 0.33-2.12 ppm and 6.79-89.76 ppm, respectively. Present analysis with secondary research data also revealed that this pollution rate is becoming intensified quickly which may pose a great threat in future for human health, ecosystem and sustainable agricultural production. So, Effluent Treatment Plants (ETP) is urgently needed to minimize the concentration of pollutants and ultimately to save the river water of the concerned area.J. Bangladesh Agril. Univ. 12(2): 285-290, December 2014

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Rain water quality assessment as air quality indicator in Pakistan

Bangladesh Journal of Scientific and Industrial Research ◽

10.3329/bjsir.v54i2.41673 ◽

2019 ◽

Vol 54 (2) ◽

pp. 161-168

Author(s):

G Yaqub ◽

A Hamid ◽

S Asghar

Keyword(s):

Water Quality ◽

Drinking Water ◽

Air Quality ◽

Water Quality Assessment ◽

Rain Water ◽

Domestic Water ◽

Indirect Evaluation ◽

Potential Use ◽

Insight Into

Rain is an effective way for removing pollutants from the atmosphere. The present study was initiated to determine rain water quality for its safe use as potable water, as well as a tool for indirect evaluation of air quality of different study areas. A total of 20 rain water samples were collected from areas including Kasur, Sheikhupura, Gujranwala and Lahore. The pH (5.49 + 0.323), turbidity (12.267 + 5.933NTU), Cl- (4785 + 1458.32ppm) and F- (16.44 + 4.52ppm) contents of samples are not in compliance with drinking water quality limits (Pakistan, WHO). Average sulphate (1.396 + 0.384 ppm) and NO3 − concentrations (52.35 + 12.11ppm) varied between 1.005-2.05ppm and 36.79-81.3ppm, respectively. Heavy metals analysis showed presence of Cu, Co, Mn and Zn concentrations below WHO limits while Cd and Pb concentrations exceeded WHO limits with values ranging between 0.005ppm-0.017ppm and 19ppm-254ppm, respectively . Findings indicate that rain water can provide an insight into the air quality of an area and its potential use as an alternative to drinking water, especially in areas of short domestic water supply. Bangladesh J. Sci. Ind. Res.54(2), 161-168, 2019

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A Multidisciplinary Approach for Evaluating Spatial and Temporal Variations in Water Quality

Water ◽

10.3390/w11040853 ◽

2019 ◽

Vol 11 (4) ◽

pp. 853 ◽

Cited By ~ 2

Author(s):

Viet Thang Le ◽

Nguyen Hong Quan ◽

Ho Huu Loc ◽

Nguyen Thi Thanh Duyen ◽

Tran Duc Dung ◽

...

Keyword(s):

Artificial Intelligence ◽

Water Quality ◽

Confusion Matrix ◽

Temporal Variations ◽

Machine Learning Techniques ◽

Spatial And Temporal Variations ◽

Support Vector ◽

Domestic Water ◽

Supply Source ◽

Artificial Intelligence Techniques

The primary goal of this study is to investigate the classification capability of several artificial intelligence techniques, including the decision tree (DT), multilayer perceptron (MLP) network, Naïve Bayes, radial basis function (RBF) network, and support vector machine (SVM) for evaluating spatial and temporal variations in water quality. The application case is the Song Quao-Ca Giang (SQ-CG) water system, a main domestic water supply source of the city of Phan Thiet in Binh Thuan province, Vietnam. To evaluate the water quality condition of the source, the government agency has initiated an extensive sampling project, collecting samples from 43 locations covering the SQ reservoir, the main canals, and the surrounding areas during 2015–2016. Different classifying models based on artificial intelligence techniques were developed to analyze the sampling data after the performances of the models were evaluated and compared using the confusion matrix, accuracy rate, and several error indexes. The results show that machine-learning techniques can be used to explicitly evaluate spatial and temporal variations in water quality.

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Water Quality Survey

Transactions of the ASAE ◽

10.13031/2013.38627 ◽

1970 ◽

Vol 13 (4) ◽

pp. 0430-0432

Author(s):

T. L. Coulthard and J. R. Stein

Keyword(s):

Water Quality ◽

Water Quality Survey

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Advanced Treatment of Ship Sewage by Fenton-Oxidation Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1010-1012.595 ◽

2014 ◽

Vol 1010-1012 ◽

pp. 595-598

Author(s):

Gui Fang Liu ◽

Hong Mei Yan ◽

Yuan Gao ◽

Ya Quan Sun ◽

Yu Ping Zhang

Keyword(s):

Water Quality ◽

Reaction Time ◽

Optimum Condition ◽

Oxidation Process ◽

Removal Rate ◽

Quality Standard ◽

Fenton Oxidation ◽

Domestic Water ◽

Cod Removal Rate ◽

Fenton Oxidation Process

Fenton-oxidation process was used to treat the simulation ship sewage that had met the requirement of IMO discharge standard. The effects of reaction time, doses of H2O2 and FeSO4, pH and temperature on COD removal rate were investigated. The results showed that the optimum condition for treating simulation ship sewage was as follows: pH=3.0, concentration of H2O2=9 mmol/L, concentration of FeSO4=3 mmol/L, and reaction time=30 min. Under the optimum condition, the removal rate of COD was to 62.7%. The water quality of the effluent could meet Miscellaneous Domestic Water Quality Standard.

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Environmetrical Treatment of Water Quality Survey Data from Yantra River, Bulgaria

Microchimica Acta ◽

10.1007/s006040070047 ◽

2000 ◽

Vol 134 (1-2) ◽

pp. 15-21 ◽

Cited By ~ 26

Author(s):

V. Simeonov ◽

S. Stefanov ◽

S. Tsakovski

Keyword(s):

Water Quality ◽

Survey Data ◽

Water Quality Survey

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GPRS-Based Remote PLC Multi-Parameter Monitoring System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.433-435.1192 ◽

2013 ◽

Vol 433-435 ◽

pp. 1192-1196

Author(s):

Xing Qiao Liu ◽

Xiao Song Lu ◽

Qing Feng Chong

Keyword(s):

Water Quality ◽

Water Environment ◽

Water Quality Monitoring ◽

Quality Parameter ◽

Water Quality Parameter ◽

Domestic Water ◽

Controlling System ◽

The Status ◽

Communication Module ◽

Parameter Monitoring

This paper analyzes the status and problems of domestic water quality monitoring, and presents a controlling system,that takes the PC as monitoring computer and Siemens S7-226 programmable logic controller (abbreviated PLC) as the terminal equipment, to realize wireless transmission of data and instructions via GPRS communication module. Also it elaborates water quality parameter monitoring systems hardware and software implementation. The result shows that the system is stable and reliable, and method is easy for operator to grasp. Through real-time monitoring and controlling, the result shows that its value is stable, achieves the intended purpose. It provides a practical way to improve china's water environment.

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