scholarly journals Fuzzy Logic Inference Index to Assess the Water Quality of Tigris River within Baghdad City

2019 ◽  
Vol 29 (3) ◽  
pp. 16
Author(s):  
Salam Hussein Ewaid ◽  
Turki Diwan Hussein ◽  
Faiza Kadhim Emran
Keyword(s):  
Water Quality ◽  
Fuzzy Logic ◽  
Drinking Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Inference System ◽  
Fuzzy Logic Inference ◽  
Tigris River ◽  
Logic Inference

This study aimed to develop a new water quality index for routine assessment of the river water quality for drinking purpose based on fuzzy logic artificial intelligence method. Four water quality parameters were involved in light of their significance to Iraqi waters, these parameters are biological oxygen demand, and total dissolved solids, total hardness, and fecal coliform. Fuzzy logic inference system with specific rules was developed by Matlab software using Mamdani fuzzy logic Max–Min inference system method. To evaluate the performance of this new fuzzy water quality index (FWQI), tests were conducted using the Iraqi standards for drinking water quality and the 2017 data set of Tigris River within Baghdad. Results revealed the FWQI ability to assess the water quality of Tigris River during the period of the study and that the method of fuzzy inference system was a simple, valuable and applied water quality evaluation tool for human drinking water of Iraqi rivers.

scholarly journals Evaluation water quality of Diyala River in Iraq using Bhargava method

2018 ◽  
Vol 162 ◽  
pp. 05001
Author(s):  
Nawar Al-Musawi
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
River Water ◽  
Water Quality Index ◽  
Quality Index ◽  
The Third ◽  
Tigris River ◽  
Good For ◽  
Diyala River

Diyala River is a tributary of Tigris River, it is one of the important rivers in Iraq. It covers a total distance of 445 km (275 miles). 32600 km2 is the area that drains by Diyala River between Iraqi-Iranian borders. This research aims to evaluate the water quality index WQI of Diyala River, where three stations were chosen along the river. These stations are D12 at Jalawlaa City at the beginning of Diyala River, the second station is D15 at Baaquba City at the mid distance of the river, and the third station is D17 which is the last station before the confluence of Diyala River with Tigris River at Baghdad city. Bhargava method was used in order to evaluate the water quality index for both irrigation and drinking uses. The results indicated that Diyala river water quality at its beginning was excellent for irrigation and good for drinking, while at the mid distance of the river, it was good for irrigation but heavily polluted and unsafe for drinking. Water quality of the river at the third site was acceptable for irrigation but again severely polluted and unsafe for drinking.

scholarly journals Assessment of spatial and temporal variation of water quality in mid hills of North West Himalyas- a Water Quality Index approach

2019 ◽  
Vol 14 (1) ◽  
pp. 37-48
Author(s):  
Ajay Kumar Singh ◽  
Satish Kumar Bhardwaj
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Disease Burden ◽  
Water Sources ◽  
Spatial And Temporal Variation ◽  
North West ◽  
High Disease Burden

Today, the quality of drinking water across the globe has become an environmental concern because of its degradation due to urbanization, industrialization, transportation etc. Solan, a rapidly developing district and an industrial hub, in the recent past has faced water borne diarrhoeal disease outbreaks. Therefore, the study was undertaken to assess the water quality of disease burden regions during monsoon and post monsoon seasons. pH of the water sources was in the range of 6.92- 7.43 and was well within normal limits. Electrical conductivity of water ranged from 151.40- 414.65 µS/cm. The water sources of high disease burden regions exhibited higher EC than the prescribed ICMR standards. DO (range 7.43- 8.56 mg/l) was normal in all disease burden regions. BOD (range 12.25- 23.25 mg/l) was higher than the BIS limits in all regions. The COD, TDS and turbidity (range 75.75- 157.50 mg/l, 2.24- 81.01 mg/l and 1.85- 5.05 NTU respectively) were within BIS limits. The concentrations (mg/l) of Ca, Pb, Hg, Zn and Cr was found in the ranges of 37.2- 122.9, 0.17- 0.51, 0.00- 0.03, 0.74- 8.99 and 0.04- 0.10, respectively. The high disease burden regions exhibited relatively higher contents of Ca, Hg and Cr as compared to lower one and the BIS limits. However, contents of Pb and Zn were above BIS limits in all the regions. The concentration (mg/l) of Mg, NO3-, Cl- and As was in the ranges of 14.25- 30.61, 5.10- 9.88, 16.42- 74.96 , 0.001- 0.014 respectively, which were below prescribed standards. Cd was detected (0.001 mg/l) in Solan region only, however it was within BIS limits. Water Quality Index (WQI) computed by using nine parameters varied from 78.58- 219.78 (very poor to unsafe drinking water class). Interestingly, water sources of all the high disease burden regions were unsafe for drinking (WQI: 102.02- 167.04). Water quality deteriorated more in the monsoons. The study therefore warrants remedial actions of water resource protection and conservation for provision of potable water.

scholarly journals Water quality index using fuzzy logic Utcubamba River, Peru

2020 ◽  
Vol 37 (1) ◽  
pp. 6-18
Author(s):  
Lenin Quiñones-Huatangari ◽  
Luis Ochoa ◽  
Manuel Emilio Milla-Pino ◽  
José Federico Bazán ◽  
Oscar Andrés Gamarra ◽  
...  
Keyword(s):  
Water Management ◽  
Water Quality ◽  
Fuzzy Logic ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Research ◽  
The World ◽  
Quality Indexes ◽  
Living Being

Water is a fundamental nutrient in the life of any living being. Therefore, it is necessary to estimate its quality, because it is an issue of increasing concern countries around the world for reasons such as the health of the population, regional, national and international economic development, and the environmental quality of the ecosystems. One tool that has been used to know the state of the water is the water quality indexes (WQI). The objective of this research was to develop a WQI based on fuzzy logic, which allows for the estimation of water quality in the Utcubamba River. The methodology used was proposed by Icaga in 2007. To evaluate the proposed WQI called "Diffuse Water Quality Index" (DWQI), sixteen points from the sampling conducted by the Research Institute for Sustainable Development during October 2014 on the Utcubamba River and its tributaries were used. To validate the index, it was necessary to estimate the correlation coefficient R2 between the results obtained and those of the NSF WQI wáter quality index reported by the Water Research Center. This new index presented results and reasonable correlation, R2 = 0.81. It is concluded that DWQI can be used as a tool for decision making in the water management of the Utcubamba River.

scholarly journals Two-Stage Fuzzy Logic Inference Algorithm for Maximizing the Quality of Performance under the Operational Constraints of Power Grid in Electric Vehicle Parking Lots

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4634
Author(s):  
Shahid Hussain ◽  
Ki-Beom Lee ◽  
Mohamed A. Ahmed ◽  
Barry Hayes ◽  
Young-Chon Kim
Keyword(s):  
Fuzzy Logic ◽  
Distribution System ◽  
Power Grid ◽  
Two Stage ◽  
Inference System ◽  
Fuzzy Logic Inference ◽  
Parking Lot ◽  
Operational Constraints ◽  
Logic Inference

The widespread adoption of electric vehicles (EVs) has entailed the need for the parking lot operators to satisfy the charging and discharging requirements of all the EV owners during their parking duration. Meanwhile, the operational constraints of the power grids limit the amount of simultaneous charging and discharging of all EVs. This affects the EV owner’s quality of experience (QoE) and thereby reducing the quality of performance (QoP) for the parking lot operators. The QoE represents a certain percentage of the EV battery required for its next trip distance; whereas, the QoP refers to the ratio of EVs with satisfied QoE to the total number of EVs during the operational hours of the parking lot. This paper proposes a two-stage fuzzy logic inference based algorithm (TSFLIA) to schedule the charging and discharging operations of EVs in such a way that maximizes the QoP for the parking lot operators under the operational constraints of the power grid. The first stage fuzzy inference system (FIS) of TSFLIA is modeled based on the real-time arrival and departure probability density functions in order to calculate the aggregated charging and discharging energies of EVs according to their next trip distances. The second stage FIS evaluates several dynamic and uncertain input parameters from the electric grid and from EVs to distribute the aggregated energy among the EVs by controlling their charging and discharging operations through preference variables. The feasibility and effectiveness of the proposed algorithm are demonstrated through the IEEE 34-node distribution system.

scholarly journals Pre-Post Monsoon Assessment of Ground Water of Ghot Village in Gadchiroli District

2019 ◽  
Vol 8 (4) ◽  
pp. 3444-3448
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Source ◽  
Threshold Value ◽  
World Health ◽  
Total Hardness ◽  
Drinking Water Source

there basic need of human being that is food, shelter and Cloth. So as In food water is very important after air, around 72% of earth surface is covered with water but among them only few percentage of source are available for drinking and other domestic purposed. Sub-Surface water is one of the most priceless naturally occurring things which balance human health and development of ecology. In this research find out safe drinking water source in Ghot village of Gadchiroli district. Also find determine chipset filtration process required other drinking water sources so that people from Ghot village are easily use this water for drinking and domestic purposed. With the help of sample analysis from different location of Ghot village are tested in laboratory and check with BIS and WHO standards. Water quality guidelines provide a threshold value for each parameter for drinking water. It is necessary that the quality of drinking water should be checked at regular time intervals, because due to the use of contaminated drinking water, the human population suffers from various water borne diseases. There are some parameters of drinking water quality parameters like World Health Organization (WHO) and Indian Standard IS 12500: 2012. The objectives of this study are to analyses the underground water quality of Ghot Village of Gadchiroli region by water quality index. In this research 11 sample point location were selected on five parameter which are essential for check for quality. Physico-chemical parameters such as PH, Turbidity, Total Hardness, Fluoride and Total Dissolved Solids collected different place like boar well, pond, River etc. In this study find out the range of water quality index so that treatment on water can be perform properly on respective drinking water source

scholarly journals Assessment of groundwater quality in Khulna city of Bangladesh in terms of water quality index for drinking purpose

2020 ◽  
Vol 10 (11) ◽  
Author(s):  
Asif Mahmud ◽  
Shraboni Sikder ◽  
Jagadish Chandra Joardar
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Groundwater Quality ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
Total Hardness ◽  
Tube Wells ◽  
Drinking Purpose

Abstract Valuation of water quality index (WQI) is one of the simplest, easily understandable, and efficacious techniques to evaluate the quality and suitability of water for drinking as well as other purposes. This research was aimed to investigate the drinking water quality of tube wells from different areas in Khulna City, Bangladesh, by developing the WQI. Water samples from 59 tube wells were collected from different locations during the pre-monsoon time. pH, electric conductivity (EC), dissolve oxygen (DO), total dissolved solid (TDS), chloride (Cl−), nitrate (NO3−), and total hardness of the collected water samples were analyzed for the calculation of WQI. The mean value for pH, EC, DO, TDS, Cl−1, NO3−, and total hardness was 7.30, 1650 μS/cm, 1.60 mg/l, 1188.7 mg/l, 414.6 mg/l, 0.029 mg/l, and 52.03 mg/l, respectively. The calculated WQI values for individual places were distributed spatially through mapping by using ArcGIS software. Based on the WQI values, the drinking water was categorized into excellent, good, poor, very poor, and unfit for drinking purposes. The calculated WQI values ranged from 40.11 to 454.37 with an average value of 108.94. Among all the groundwater samples, 11.86% were excellent, 54.24% were good, 23.73% were poor, 1.69% were very poor, and 8.47% were unfit for drinking purpose based on WQI. The results showed that the groundwater quality of most of the studied areas of Khulna city could be considered safe and suitable for drinking barring the elevated EC and chloride content in some areas. Since Khulna city is situated in the southwestern part of Bangladesh and gradually approaches toward the base level of the Bay of Bengal which might be the source of salt concentration in the groundwater of Khulna city, Bangladesh.

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 ◽  
Drinking Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Bottled Drinking Water

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.

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