scholarly journals Implementasi Sistem Inferensi Fuzzy Pada Pengambilan Keputusan Penentuan Kualitas Air PDAM

2020 ◽  
Vol 17 (1) ◽  
pp. 118-128
Author(s):  
S Oktavia ◽  
S Musdalifah ◽  
D Lusiyanti
Keyword(s):  
Water Quality ◽  
Fuzzy Inference ◽  
Quality Parameters ◽  
Inference System ◽  
Living Things ◽  
Quality Of Water ◽  
Total Dissolved Solid ◽  
Inference Systems ◽  
Nitrite Nitrate

Water is one of the most important natural resources for all living things. For humans, water is used for bathing, washing and drinking so that the quality needs to be considered. Water quality is a major factor to determine the feasibility of water to be used. The purpose of this research is to implement Fuzzy inference system on decision making to determine water quality of PDAM. Mamdani method is used as a fuzzy inference systems and GUIDE MATLAB is used as a program that can facilitate the users. Input of the system in the form of values of water quality parameters test results the parameters are Color, Turbidity, Total Dissolved Solid (TDS), Nitrite, Nitrate, Coliform, e-coli, and pH. System works well in determining the quality of water, it can be evidenced by the level of accuracy of 94,44% of the 72 data used in Laboratory Uwe Lino Donggala District Laboratory and Palu District PDAM Laboratory

scholarly journals Assessment the Quality of Bottled Drinking Water Through Mamdani Fuzzy Water Quality Index

2021 ◽  
Author(s):  
Ghorban Asgari ◽  
Ensieh Komijani ◽  
Abdolmotaleb Seid-Mohammadi ◽  
Mohammad Khazaei
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Fuzzy Inference ◽  
Quality Parameters ◽  
Monte Carlo Algorithm ◽  
Retail Market ◽  
Inference System ◽  
Drinking Waters

Abstract In this investigation, an innovative index was developed based on the fuzzy inference system for assessing the quality of bottled drinking waters. A method was developed to aggregate the values obtained from the defuzzification step. A total number of 24 quality parameters revealing the characteristics of bottled were in terms of physiochemical, dietary, toxic, and pathogenic aspects were selected as the input parameters. 30 samples were taken from the independent brands found in the Hamadan province retail market to evaluate the bottled water quality index (BWQI). Results show that the values obtained from measuring the parameters are in the range of the standard levels set by national regulations. The BWQI scores obtained from samples were in the range of 61.2–73.8 attributing to the marginal and fair descriptive classes. Sensitivity analysis using the Monte Carlo algorithm reveals that the parameters NO3, Na, hardness, and NO2 have the most impact on the BWQI scores.

scholarly journals Tap Water Quality: Seasonal User Surveys in Poland

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3841
Author(s):  
Józef Ober ◽  
Janusz Karwot
Keyword(s):  
Water Quality ◽  
World Literature ◽  
Mixed Methods Research ◽  
Tap Water ◽  
Quality Parameters ◽  
Subjective Perception ◽  
Quality Of Water ◽  
Profit Analysis ◽  
Tap Water Quality

Security of supply of water, which meets the quality parameters specified in applicable standards, is now the basis for the functioning of most societies. In addition to climatic, biological, chemical, and physical hazards, it is worth paying attention to consumers’ subjective perception of the quality of tap water supplied in the area of Poland. The article discusses various activities related to water resources management and analyses the results of an evaluation of selected quality parameters of tap water in Poland. A novelty on a European scale here is an examination of the evaluation of these parameters based on potential seasonal differences (spring, summer, autumn, winter). For the first time in the world literature, PROFIT analysis was used to evaluate selected parameters of tap water quality. The aim of the article was to present a model for the evaluation of the parameters of tap water supplied in different seasons of the year in Poland. Due to the complexity of the research aspects, a mixed-methods research procedure was used in which a literature review was combined with a survey and statistical analysis. For the purpose of the survey, an original survey questionnaire called “Survey of customer opinions on selected parameters of tap water supplied in Poland” was developed especially for this study. The conducted research confirmed the adopted hypothesis that the results of evaluation of selected tap water parameters vary depending on the period (spring, summer, autumn, winter) in Poland. The model developed by means of PROFIT analysis makes it possible to highlight to water suppliers the specific quality parameters in particular seasons of the year (spring, summer, autumn, winter), which may improve the quality of water supplied in Poland and thus, in the long-term perspective, increase the level of satisfaction of water recipients and confidence in drinking tap water in Poland.

scholarly journals Investigating the Impact of Anthropogenic and Natural Sources of Pollution on Quality of Water in Upper Indus Basin (UIB) by Using Multivariate Statistical Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Mansoor A. Baluch ◽  
Hashim Nisar Hashmi
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Quality Parameters ◽  
Anthropogenic Source ◽  
Indus River ◽  
Multivariate Statistical ◽  
Quality Of Water ◽  
The Impact

Water quality of the Indus River around the upper basin and the main river was evaluated with the help of statistical analysis. In order to analyze the similarities and dissimilarities for identifying the spatial variations in water quality of the Indus River and sources of contamination, multivariate statistical analysis, i.e., principle component analysis (PCA), cluster analysis, and descriptive analysis, was done. Data of 8 physicochemical quality parameters from 64 sampling stations belonging to 6 regions (labeled as M1, M2, M3, M4, M5, and M6) were used for analysis. The parameters used for assessing the water quality were pH, dissolved oxygen (DO), oxygen reducing potential (ORP), electrical conductivity (EC), total dissolved solids (TDS), salinity (%), and concentration of arsenic (As) and lead (Pb), respectively. PCA assisted in extracting and recognizing the responsible variation factors of water quality over the region, and the results showed three underlying factors including anthropogenic source pollution along with runoff due to rain and soil erosion were responsible for explaining the 93.87% of total variance. The parameters which were significantly influenced by anthropogenic impact are DO, EC, TDS (negative), and concentration of Pb (positive), while the concentration of As, % salinity, and ORP are affected by erosion and runoff due to rain. The worst pollution situation for regions M1 and M6 was due to the concentration of As which was approximately 400 μg/l (i.e., 40 times higher than minimum WHO recommendation). Furthermore, the results also indicated that, in the Indus River, three monitoring stations and five quality parameters are sufficient to have a reasonable confidence about the quality of water in this most important reserve of Pakistan.

scholarly journals Modeling river water quality parameters using modified adaptive neuro fuzzy inference system

2019 ◽  
Vol 12 (1) ◽  
pp. 45-54 ◽  
Author(s):  
Armin Azad ◽  
Hojat Karami ◽  
Saeed Farzin ◽  
Sayed-Farhad Mousavi ◽  
Ozgur Kisi
Keyword(s):  
Water Quality ◽  
River Water ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Quality Parameters ◽  
River Water Quality ◽  
Water Quality Parameters ◽  
Inference System ◽  
Neuro Fuzzy

scholarly journals Relações entre Condições Ambientais e Doenças de Veiculação Hídrica em Áreas do Assentamento Rural Serra Grande, Vitória de Santo Antão, PE, Brasil (Relationships between environmental conditions and hydro term placement diseases in Rural Settlement ...)

2016 ◽  
Vol 9 (6) ◽  
pp. 1677
Author(s):  
Maria Tereza Duarte Dutra ◽  
Juliana Lemos Da Silva ◽  
Cláudia Ricardo Oliveira ◽  
Marília Regina Costa Castro Lyra ◽  
Suzana Maria Gico Lima Montenegro
Keyword(s):  
Water Quality ◽  
Environmental Conditions ◽  
Local Population ◽  
Poor Quality ◽  
Quality Parameters ◽  
Rural Settlement ◽  
Human Consumption ◽  
Social Actors ◽  
Quality Of Water

A má qualidade dos corpos de água exerce influência direta sobre a saúde da sociedade, podendo causar doenças de veiculação hídrica, que levam a morte milhões de pessoas no mundo. Neste cenário, o presente estudo objetivou identificar as relações existentes entre condições ambientais e doenças de veiculação hídrica no Assentamento Rural Serra Grande, situado na sub bacia hidrográfica do Riacho Natuba, no município de Vitória de Santo Antão, em Pernambuco. Foram escolhidas seis nascentes, fazendo-se medições de parâmetros de qualidade de água, comparando-se os resultados das análises com os padrões estabelecidos pela Resolução Conama Nº 357/05 e Portaria do Ministério da Saúde Nº 2914/11. Para identificar a ocorrência de doenças de veiculação hídrica no assentamento procedeu-se a aplicação de questionários junto à comunidade local, representantes do Posto de Saúde e da Secretaria de Saúde Municipal, abordando aspectos sobre a incidência dessas doenças e respectivos programas de saúde implementados. Os resultados obtidos mostraram que as nascentes representavam a principal fonte de água para o consumo doméstico, a irrigação e a dessedentação animal. No entanto, as análises de qualidade de água apontaram que a mesma não apresentava condições apropriadas ao consumo humano direto, requerendo prévio tratamento. Em relação ao perfil de ocorrência das doenças de veiculação hídrica, constatou-se que as verminoses e protozooses são as doenças que mais acometem a população.   A B S T R A C T The poor quality of water bodies shall exercise direct influence on the health of society, causing hydro term placement diseases leading to death millions of people worldwide. In this scenario, the present study aimed to identify the relationship between environmental conditions and hydro term placement diseases in the Rural Settlement Serra Grande, located in the Sub-basin of the Natuba rivulet, in the municipality of Vitória de Santo Antão, Pernmbuco State, Brazil. Six springs  were chosen for sample collections and determination of  water quality parameters, comparing the results with the quality standards established by CONAMA ( Brazilian National Environmental Council) Resolution Nº 357/05 and Ordinance of the Ministry of Health (Brazil) No. 2914/11. Questionnaires were applied to local social actors: community, health and Municipal Health Secretariat, addressing aspects of water diseases and health programs implemented. The results obtained showed that the springs were the main source of water for domestic consumption, irrigation and animal watering in the studied area. However, the water quality analyses showed that these springs  do not show appropriate sanitary conditions to direct human consumption, requiring treatment. In relation to the profile of hydro term placement diseases occurrence, it was observed that the worms and protozooses are the diseases that most affected the local population. Keywords: Management of water resources, quality of the water, health and environment.   

scholarly journals Water quality and management in the Australian pig industry

2021 ◽  
Vol 61 (7) ◽  
pp. 637
Author(s):  
Louise Edwards ◽  
Helen Crabb
Keyword(s):  
Water Quality ◽  
Management Practices ◽  
Production Systems ◽  
Water Source ◽  
Quality Parameters ◽  
Quality Of Water ◽  
Standard Quality ◽  
Pig Performance ◽  
The Impact

Context Water is the first nutrient and an essential component of all agricultural production systems. Despite its importance there has been limited research on water, and in particular, the impact of its availability, management and quality on production systems. Aims This research sought to describe the management and quality of water used within the Australian pig industry. Specifically, the water sources utilised, how water was managed and to evaluate water quality at both the source and the point of delivery to the pig. Methods Fifty-seven commercial piggeries across Australia participated in this study by completing a written survey on water management. In addition, survey participants undertook physical farm parameter measurements including collecting water samples. Each water sample was tested for standard quality parameters including pH, hardness, heavy metals and microbiological status. Key results Responses were received from 57 farms, estimated to represent at least 22% of ‘large’ pig herds. Bore water was the most common water source being utilised within the farms surveyed. Management practices and infrastructure delivering water from the source to the point of consumption were found to differ across the farms surveyed. Furthermore, water was regularly used as a delivery mechanism for soluble additives such as antibiotics. The quality of water at the source and point of consumption was found to be highly variable with many parameters, particularly pH, hardness, salinity, iron, manganese and microbiological levels, exceeding the acceptable standard. Conclusions In general, water quality did not appear to be routinely monitored or managed. As a result, farm managers had poor visibility of the potential negative impacts that inferior water quality or management may be having on pig production and in turn the economics of their business. Indeed, inferior water quality may impact the delivery of antibiotics and in turn undermine the industry’s antimicrobial stewardship efforts. Implications The study findings suggest that water quality represents a significant challenge to the Australian pig industry. Access to drinking water of an acceptable quality is essential for optimal pig performance, health and welfare but also to ensure farm to fork supply chain integrity, traceability and food safety.

scholarly journals Implementation of Long-Short Term Memory Neural Network (LSTM) for Predicting The Water Quality Parameters in Sungai Selangor

2021 ◽  
Vol 6 (4) ◽  
pp. 40-49
Author(s):  
Nur Natasya Mohd Anuar ◽  
Nur Fatihah Fauzi ◽  
Huda Zuhrah Ab Halim ◽  
Nur Izzati Khairudin ◽  
Nurizatul Syarfinas Ahmad Bakhtiar ◽  
...  
Keyword(s):  
Water Quality ◽  
Short Term Memory ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Short Term ◽  
Term Memory ◽  
Quality Of Water ◽  
Long Short Term Memory

Predictions of future events must be factored into decision-making. Predictions of water quality are critical to assist authorities in making operational, management, and strategic decisions to keep the quality of water supply monitored under specific criteria. Taking advantage of the good performance of long short-term memory (LSTM) deep neural networks in time-series prediction, the purpose of this paper is to develop and train a Long-Short Term Memory (LSTM) Neural Network to predict water quality parameters in the Selangor River. The primary goal of this study is to predict five (5) water quality parameters in the Selangor River, namely Biochemical Oxygen Demand (BOD), Ammonia Nitrogen (NH3-N), Chemical Oxygen Demand (COD), pH, and Dissolved Oxygen (DO), using secondary data from different monitoring stations along the river basin. The accuracy of this method was then measured using RMSE as the forecast measure. The results show that by using the Power of Hydrogen (pH), the dataset yielded the lowest RMSE value, with a minimum of 0.2106 at station 004 and a maximum of 1.2587 at station 001. The results of the study indicate that the predicted values of the model and the actual values were in good agreement and revealed the future developing trend of water quality parameters, showing the feasibility and effectiveness of using LSTM deep neural networks to predict the quality of water parameters.

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