This document summarizes a study that used EPANET software to determine chlorine doses in Jabalpur city's water distribution system. Field samples were taken from 5 zones to measure residual chlorine levels. The observed values were compared to EPANET predictions to calibrate chlorine decay coefficients. A wall decay coefficient (Kw) of -0.55/day provided the best fit. Minimum initial chlorine doses were determined for each zone to maintain at least 0.2 mg/L residual chlorine throughout the system, in accordance with standards. The calibrated model can help optimize chlorine usage and water quality management in Jabalpur's distribution network.
The main challenges to achieving a reliable model which can predict well the process are the
nonlinearities associated with many biological and biochemical processes in the system. Artificial intelligent
approaches revolved as better alternative in predicting the system. Typical measured variables for effluent
quality of wastewater treatment plant are pH, and mixed liquor suspended solids (MLSS). This paper
presents an adaptive neuro-fuzzy inference system (ANFIS) and feed-forward neural network (FFNN)
modeling applied to the domestic plant of the Bunus regional sewage treatment plant. ANFIS and feedforward
neural network techniques as nonlinear function approximators have demonstrated the capability
of predicting nonlinear behaviour of the system. The data for the period of two years and nine months
sampled weekly (140 week samples) were collected and used for this study. Simulation studies showed
that the prediction capability of the ANFIS model is somehow better than that of the FFNN model. The
ANFIS model may serves as a valuable prediction tool for the plant.
Monitoring water pollution in the River Ganga with innovations in airborne remote sensing and drone technology.
Rajiv Sinha (Indian Institute of Technology Kanpur)
Freshwater Lake Mapping and its Volumetric Estimation in the Glaciated Valley of Chhombu in Sikkim Himalayas Using High-Resolution Optical (Sentinel-2 MSI) Imagery.
Arindam Chowdhury North Eastern Hill University, India)
The main challenges to achieving a reliable model which can predict well the process are the
nonlinearities associated with many biological and biochemical processes in the system. Artificial intelligent
approaches revolved as better alternative in predicting the system. Typical measured variables for effluent
quality of wastewater treatment plant are pH, and mixed liquor suspended solids (MLSS). This paper
presents an adaptive neuro-fuzzy inference system (ANFIS) and feed-forward neural network (FFNN)
modeling applied to the domestic plant of the Bunus regional sewage treatment plant. ANFIS and feedforward
neural network techniques as nonlinear function approximators have demonstrated the capability
of predicting nonlinear behaviour of the system. The data for the period of two years and nine months
sampled weekly (140 week samples) were collected and used for this study. Simulation studies showed
that the prediction capability of the ANFIS model is somehow better than that of the FFNN model. The
ANFIS model may serves as a valuable prediction tool for the plant.
Monitoring water pollution in the River Ganga with innovations in airborne remote sensing and drone technology.
Rajiv Sinha (Indian Institute of Technology Kanpur)
Freshwater Lake Mapping and its Volumetric Estimation in the Glaciated Valley of Chhombu in Sikkim Himalayas Using High-Resolution Optical (Sentinel-2 MSI) Imagery.
Arindam Chowdhury North Eastern Hill University, India)
This poster describes analytical operating conditions for analysis of US EPA Method 8260C1, Revision 3, August 2006, and includes BFB tune parameters, calibration details, and a complete MDL and Precision and Accuracy study for almost 100 target compounds at multiple concentrations.
Compact Hydrogen Peroxide Sensor for Sterilization Cycle MonitoringClinton Smith
We demonstrate a compact hydrogen peroxide (H2O2) sensor capable of measuring as little as 32 parts-per-billion (ppb) concentration H2O2. This sensor was also shown to measure as little as 9 ppb concentration methane. The technology works by measuring the mid-Infrared absorption of the trace-gas analyte, which results in a virtually interference free signal.
Univ of Iowa Research on Best Methods to Detect Radioactivity in Marcellus Sh...Marcellus Drilling News
The results of a new study by researchers at the University of Iowa that looks at the best methods for detecting radioactivity levels in Marcellus Shale flowback water (wastewater from fracking). The researchers maintain federal EPA methods for testing drinking water are unreliable when used with frack wastewater and recommend a different, more reliable method.
This is the MS thesis defend presented in Spring'13. The topic was to present an cloud connected embedded system performing water quality analysis using portable UV spectrometer. Artificial neural network based technique was developed to classify pure vs. dirty water based on COD (Chemical Oxygen Demand) parameter.
Lutes, C.C “Radon Methods for Vapor Intrusion Sites: What, Where, When, How, and Why” Presented at EPA Workshop on: Indicators, Tracers and Surrogates (ITS) for Chlorinated Vapor Intrusion (CVI) – Pursuing Additional Observations at AEHS East Coast Conference, October 16, 2018.
Tiff Hilton, “Manganese—Misunderstood, Mis-Regulated, & Mistaken for a Problem”Michael Hewitt, GISP
Manganese limits set forth by the Clean Water Act were not based on the toxicity of Manganese. And, as it turns out, the side effects from the treatment for manganese removal is a problem, not the Manganese. West Virginia adopted what is known as the “Five Mile Rule”, which stated that the human health criterion for manganese would only apply within a five mile zone up-stream from a public intake. This action, along with the existing available tools such as Alkaline Mine Drainage limits (No manganese) and Post Mining Limits (Report Only Limits) helped to substantially reduce the adverse effects created from the treatment itself.
This poster describes analytical operating conditions for analysis of US EPA Method 8260C1, Revision 3, August 2006, and includes BFB tune parameters, calibration details, and a complete MDL and Precision and Accuracy study for almost 100 target compounds at multiple concentrations.
Compact Hydrogen Peroxide Sensor for Sterilization Cycle MonitoringClinton Smith
We demonstrate a compact hydrogen peroxide (H2O2) sensor capable of measuring as little as 32 parts-per-billion (ppb) concentration H2O2. This sensor was also shown to measure as little as 9 ppb concentration methane. The technology works by measuring the mid-Infrared absorption of the trace-gas analyte, which results in a virtually interference free signal.
Univ of Iowa Research on Best Methods to Detect Radioactivity in Marcellus Sh...Marcellus Drilling News
The results of a new study by researchers at the University of Iowa that looks at the best methods for detecting radioactivity levels in Marcellus Shale flowback water (wastewater from fracking). The researchers maintain federal EPA methods for testing drinking water are unreliable when used with frack wastewater and recommend a different, more reliable method.
This is the MS thesis defend presented in Spring'13. The topic was to present an cloud connected embedded system performing water quality analysis using portable UV spectrometer. Artificial neural network based technique was developed to classify pure vs. dirty water based on COD (Chemical Oxygen Demand) parameter.
Lutes, C.C “Radon Methods for Vapor Intrusion Sites: What, Where, When, How, and Why” Presented at EPA Workshop on: Indicators, Tracers and Surrogates (ITS) for Chlorinated Vapor Intrusion (CVI) – Pursuing Additional Observations at AEHS East Coast Conference, October 16, 2018.
Tiff Hilton, “Manganese—Misunderstood, Mis-Regulated, & Mistaken for a Problem”Michael Hewitt, GISP
Manganese limits set forth by the Clean Water Act were not based on the toxicity of Manganese. And, as it turns out, the side effects from the treatment for manganese removal is a problem, not the Manganese. West Virginia adopted what is known as the “Five Mile Rule”, which stated that the human health criterion for manganese would only apply within a five mile zone up-stream from a public intake. This action, along with the existing available tools such as Alkaline Mine Drainage limits (No manganese) and Post Mining Limits (Report Only Limits) helped to substantially reduce the adverse effects created from the treatment itself.
For Domestic Wastewater Treatment, Finding Optimum Conditions by Particle Swa...Agriculture Journal IJOEAR
Abstract— Performing jar test method is used for finding out optimum conditions (coagulant type, coagulant dose, pH etc.)for treatment of domestic wastewater before physicochemical process, or coagulation process. In this study, Response Surface Method (RSM) is applied to determine optimum combinations of coagulant dose and pH value in jar test. Alum, FeCl3 and FeSO4 are used as coagulant and compared with highest removal efficiency of their two responses which turbidity and chemical oxygen demand (COD).Finding equations from RSM are also evaluated with Particle Swarm Optimization (PSO) method by using Matlab Program. Alum and Ferric Chloridedose500 mg/lat pH7 found as optimum conditions for domestic wastewater treatment. COD removal for Alum and Ferric Chloride are 90% and 70%,respectively.In addition, Because of becoming low COD removal (maximum 50%) and ineffectively color removal, Ferric Sulfate coagulant found as inconvenient for treating domestic wastewater.
Performance Evaluation of 9 MLD Sewage Treatment Plant at Gurgaon and Cost Ef...civej
Sewage treatment plant under study has 9 MLD capacity and is located in Gurgaon. It receives sewage from the surrounding residential areas and after three stage treatment, treated effluent is supplied back to meet water requirement for various purposes. This has certainly reduced dependency on the precious underground water and thereby reducing the burden and saving environment. For performance evaluation of the sewage treatment plant samples were collected at various stages i.e., at inlet raw sewage, after primary treatment, secondary treatment and after tertiary treatment. Samples were tested to measure various parameters like pH, Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Dissolved Oxygen (DO), Total Suspended Solids (TSS), Total Kjedahl Nitrogen (TKN), Total Coliform, Phosphorous and Oil & Grease. Data on above parameters were observed and collected for three months November, 2014 to January, 2015. All these treatment are adding a huge cost to the recycled water. Hence the present study is aimed to provide alternatives to reduce the cost input. Also studies were made to find out ways by minimizing processes and stages of treatment.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
An Efficient Method for Assessing Water Quality Based on Bayesian Belief Netw...ijsc
A new methodology is developed to analyse existing water quality monitoring networks. This methodology incorporates different aspects of monitoring, including vulnerability/probability assessment, environmental health risk, the value of information, and redundancy reduction. The work starts with a formulation of a conceptual framework for groundwater quality monitoring to represent the methodology’s context. This work presents the development of Bayesian techniques for the assessment of groundwater quality. The primary aim is to develop a predictive model and a computer system to assess and predict the impact of pollutants on the water column. The process of the analysis begins by postulating a model in light of all available knowledge taken from relevant phenomenon. The previous knowledge as represented by the prior distribution of the model parameters is then combined with the new data through Bayes’ theorem to yield the current knowledge represented by the posterior distribution of model parameters. This process of updating information about the unknown model parameters is then repeated in a sequential manner as more and more new information becomes available.
A new methodology is developed to analyse existing water quality monitoring networks. This methodology
incorporates different aspects of monitoring, including vulnerability/probability assessment, environmental
health risk, the value of information, and redundancy reduction. The work starts with a formulation of a
conceptual framework for groundwater quality monitoring to represent the methodology’s context. This
work presents the development of Bayesian techniques for the assessment of groundwater quality. The
primary aim is to develop a predictive model and a computer system to assess and predict the impact of
pollutants on the water column. The process of the analysis begins by postulating a model in light of all
available knowledge taken from relevant phenomenon. The previous knowledge as represented by the prior
distribution of the model parameters is then combined with the new data through Bayes’ theorem to yield
the current knowledge represented by the posterior distribution of model parameters. This process of
updating information about the unknown model parameters is then repeated in a sequential manner as
more and more new information becomes available.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.