Literature DB >> 23982824

A Visual Basic simulation software tool for performance analysis of a membrane-based advanced water treatment plant.

P Pal1, R Kumar2, N Srivastava2, J Chaudhuri2.   

Abstract

A Visual Basic simulation software (WATTPPA) has been developed to analyse the performance of an advanced wastewater treatment plant. This user-friendly and menu-driven software is based on the dynamic mathematical model for an industrial wastewater treatment scheme that integrates chemical, biological and membrane-based unit operations. The software-predicted results corroborate very well with the experimental findings as indicated in the overall correlation coefficient of the order of 0.99. The software permits pre-analysis and manipulation of input data, helps in optimization and exhibits performance of an integrated plant visually on a graphical platform. It allows quick performance analysis of the whole system as well as the individual units. The software first of its kind in its domain and in the well-known Microsoft Excel environment is likely to be very useful in successful design, optimization and operation of an advanced hybrid treatment plant for hazardous wastewater.

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Year:  2013        PMID: 23982824     DOI: 10.1007/s11356-013-2082-2

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  6 in total

1.  A practical protocol for dynamic modelling of activated sludge systems.

Authors:  J J W Hulsbeek; J Kruit; P J Roeleveld; M C M van Loosdrech
Journal:  Water Sci Technol       Date:  2002       Impact factor: 1.915

2.  RO/NF membrane treatment of veterinary pharmaceutical wastewater: comparison of results obtained on a laboratory and a pilot scale.

Authors:  Davor Dolar; Tatjana Ignjatić Zokić; Krešimir Košutić; Danijela Ašperger; Dragana Mutavdžić Pavlović
Journal:  Environ Sci Pollut Res Int       Date:  2012-04-29       Impact factor: 4.223

3.  Simulation of the influence of industrial wastewater on a municipal sewage treatment plant--a case study.

Authors:  Ákos Rédey; Viola Somogyi; József Ányos; Endre Domokos; Péter Thury; Tatiana Yuzhakova
Journal:  Environ Sci Pollut Res Int       Date:  2010-06-30       Impact factor: 4.223

4.  Oxidation of cyanide in aqueous solution by chemical and photochemical process.

Authors:  M Sarla; M Pandit; D K Tyagi; J C Kapoor
Journal:  J Hazard Mater       Date:  2004-12-10       Impact factor: 10.588

5.  Struvite precipitation in anaerobic swine lagoon liquid: effect of pH and Mg:P ratio and determination of rate constant.

Authors:  Nathan O Nelson; Robert L Mikkelsen; Dean L Hesterberg
Journal:  Bioresour Technol       Date:  2003-09       Impact factor: 9.642

6.  Repeated use of MAP decomposition residues for the removal of high ammonium concentration from landfill leachate.

Authors:  Shilong He; Yu Zhang; Min Yang; Wenli Du; Hiroyuki Harada
Journal:  Chemosphere       Date:  2006-11-13       Impact factor: 7.086

  6 in total
  4 in total

1.  Performance analysis and optimization of an advanced pharmaceutical wastewater treatment plant through a visual basic software tool (PWWT.VB).

Authors:  Parimal Pal; Ritwik Thakura; Sankha Chakrabortty
Journal:  Environ Sci Pollut Res Int       Date:  2016-02-09       Impact factor: 4.223

Review 2.  Assessing the feasibility of N and P recovery by struvite precipitation from nutrient-rich wastewater: a review.

Authors:  Ramesh Kumar; Parimal Pal
Journal:  Environ Sci Pollut Res Int       Date:  2015-09-26       Impact factor: 4.223

3.  Membrane-integrated physico-chemical treatment of coke-oven wastewater: transport modelling and economic evaluation.

Authors:  Ramesh Kumar; Sankha Chakrabortty; Parimal Pal
Journal:  Environ Sci Pollut Res Int       Date:  2014-11-09       Impact factor: 4.223

4.  Arsenic removal from contaminated groundwater by membrane-integrated hybrid plant: optimization and control using Visual Basic platform.

Authors:  S Chakrabortty; M Sen; P Pal
Journal:  Environ Sci Pollut Res Int       Date:  2013-11-28       Impact factor: 4.223

  4 in total

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