Human Health Impact Analysis of Contaminant in IoT-Enabled Water Distributed Networks

This paper aims to assess and analyze the health impact of consuming contaminated drinking water in a water distributed system (WDS). The analysis was based on qualitative simulation performed in two different models named hydraulic and water quality in a WDS. The computation focuses on quantitative analysis for chemically contaminated water impacts by analyzing the dose level in various locations in the water network and the mass of the substance that entered the human body. Several numerical experiments have been applied to evaluate the impact of water pollution on human life. They analyzed the impact on human life according to various factors, including the location of the injected node (pollution occurrence) and the ingested dose level. The results show a significant impact of water contaminant on human life in multiple areas in the water network, and the level of this impact changed from one location to another in WDSs based on several factors such as the location of the pollution occurrence, the contaminant concentration, and the dose level. In order to reduce the impact of this contaminant, water quality sensors have been used and deployed on the water network to help detect this contaminant. The sensors were optimally deployed based on the time-detection of water contamination and the volume of polluted water consumed. Numerical experiments were carried out to compare water pollution’s impact with and without using water quality sensors. The results show that the health impact was reduced by up to 98.37% by using water quality sensors.

[1]  Lu Zhang,et al.  Water quality assessment based on the water quality index method in Lake Poyang: The largest freshwater lake in China , 2017, Scientific Reports.

[2]  R. Sadiq,et al.  Seasonal and spatial variations of source and drinking water quality in small municipal systems of two Canadian regions. , 2015, The Science of the total environment.

[3]  Erika J. Mitchell,et al.  World Health Organization Discontinues Its Drinking-Water Guideline for Manganese , 2012, Environmental health perspectives.

[4]  K. Yaghmaeian,et al.  An innovative drinking water nutritional quality index (DWNQI) for assessing drinking water contribution to intakes of dietary elements: A national and sub-national study in Iran , 2016 .

[5]  Ihsanullah,et al.  Human Health Risk Assessment Through Consumption of Organophosphate Pesticide-Contaminated Water of Peshawar Basin, Pakistan , 2018, Exposure and Health.

[6]  F. Hooshmand,et al.  Risk-Based Models for Optimal Sensor Location Problems in Water Networks , 2020 .

[7]  Manuel J. Rodriguez,et al.  ATES: a geo-informatics decision aid tool for the integration of groundwater into land planning , 2015 .

[8]  I. Nhapi,et al.  Health Safety of Drinking Water Supplied in Africa: A Closer Look Using Applicable Water-Quality Standards as a Measure , 2018, Exposure and Health.

[9]  Wenyan Wu,et al.  Water contaminants detection using sensor placement approach in smart water networks , 2020, Journal of Ambient Intelligence and Humanized Computing.

[10]  Jie Chen,et al.  Human Health Risk Assessment of Contaminants in Drinking Water Based on Triangular Fuzzy Numbers Approach in Yinchuan City, Northwest China , 2018, Exposure and Health.

[11]  Giuseppe Del Giudice,et al.  A nonparametric framework for water consumption data cleansing: an application to a smart water network in Naples (Italy) , 2020 .

[12]  Peiyue Li,et al.  Drinking Water Quality and Public Health , 2019, Exposure and Health.

[13]  Kui Chang,et al.  Water quality comprehensive evaluation method for large water distribution network based on clustering analysis , 2011 .

[14]  Iraj Mortazavi,et al.  Accurate and Optimal Sensor Placement for Source Identification of Water Distribution Networks , 2017 .

[15]  Peiyue Li,et al.  Occurrence, health risks, and geochemical mechanisms of fluoride and nitrate in groundwater of the rock-dominant semi-arid region, Telangana State, India , 2018, Human and Ecological Risk Assessment: An International Journal.

[16]  Michael J. Davis,et al.  Mass imbalances in EPANET water-quality simulations. , 2017, Drinking water engineering and science.

[17]  Reza Saeedi,et al.  A modified drinking water quality index (DWQI) for assessing drinking source water quality in rural communities of Khuzestan Province, Iran , 2015 .

[18]  Michael J. Davis,et al.  A Framework for Estimating the Adverse Health Effects of Contamination Events in Water Distribution Systems and its Application , 2014, Risk analysis : an official publication of the Society for Risk Analysis.

[19]  Sean Andrew McKenna,et al.  Water quality monitoring with online change-point detection methods , 2015 .

[20]  Eric C. Wert,et al.  Using discrete and online ATP measurements to evaluate regrowth potential following ozonation and (non)biological drinking water treatment. , 2019, Water research.

[21]  Selami Kara,et al.  Real time monitoring and control in water distribution systems for improving operational efficiency , 2016 .

[22]  Alicja Bałut,et al.  Application of the TEVA-SPOT in designing the monitoring of water networks , 2018 .

[23]  K. Pietrucha-Urbanik,et al.  Simulation Model of Contamination Threat Assessment in Water Network Using the Epanet Software , 2016 .

[24]  A. Goonetilleke,et al.  Treatment Technologies for Emerging Contaminants in water: A review , 2017 .

[25]  Jinlan Xu,et al.  Concentrations and potential health risks of strontium in drinking water from Xi'an, Northwest China. , 2018, Ecotoxicology and environmental safety.

[26]  H. Qian,et al.  Groundwater Quality Assessment Using Improved Water Quality Index (WQI) and Human Health Risk (HHR) Evaluation in a Semi-arid Region of Northwest China , 2020, Exposure and Health.

[27]  Xuesong Yan,et al.  Multi-objective based scheduling algorithm for sudden drinking water contamination incident , 2020, Swarm Evol. Comput..

[28]  Emine Baştürk,et al.  Assessing Water Quality of Mamasın Dam, Turkey: Using Water Quality Index Method, Ecological and Health Risk Assessments , 2019 .

[29]  Talent Diotrefe Banda,et al.  Development of Water Quality Indices (WQIs): A Review , 2020 .

[30]  Gertjan Medema,et al.  Potential impacts of changing supply-water quality on drinking water distribution: A review. , 2017, Water research.

[31]  Hamouda Boutaghane,et al.  A new methodology for assessing water quality, based on data envelopment analysis: Application to Algerian dams , 2021 .

[32]  Fahmida Akter,et al.  Water Quality Index for measuring drinking water quality in rural Bangladesh: a cross-sectional study , 2016, Journal of Health, Population and Nutrition.

[33]  Enrico Creaco,et al.  Comparison of topological, empirical and optimization-based approaches for locating quality detection points in water distribution networks , 2020, Environmental Science and Pollution Research.

[34]  M. Núñez,et al.  Addressing water needs of freshwater ecosystems in life cycle impact assessment of water consumption: state of the art and applicability of ecohydrological approaches to ecosystem quality characterization , 2018, The International Journal of Life Cycle Assessment.

[35]  Anshuman Singh,et al.  A Variance Decomposition Approach for Risk Assessment of Groundwater Quality , 2019, Exposure and Health.

[36]  Jochen Deuerlein,et al.  Uncertainty quantification of water age in water supply systems by use of spectral propagation , 2019, Journal of Hydroinformatics.

[37]  I. Xagoraraki,et al.  Influence of rainy season and land use on drinking water quality in a karst landscape, State of Yucatán, Mexico , 2018, Applied Geochemistry.

[38]  Ho Kim,et al.  Impact of Drinking Water Quality on the Development of Enteroviral Diseases in Korea , 2018, International journal of environmental research and public health.