Search results for "SANITARIA"

showing 10 items of 520 documents

The Influence of MSW Landfill Height in the Perched Leachate Formation

2012

During the last decades, the largest part of municipal solid waste (MSW) generated world wide has been disposed of in landfills without any pre-treatment. The main environmental impacts of such landfills, containing high amounts of biodegradable organic matter, are caused by emissions of liq-uid effluents and landfill gas. With no collection and treatment, leachates from landfills pollute groundwater and soils locally. Furthermore, besides the biological processes, many physical phe-nomena occur inside the landfill body which negatively affect landfill management. Indeed, the waste settlement inside the landfill body, with a consequent increase of its density, corresponds to a proportional …

Mathematical modelHydrologic balancesSettore ICAR/03 - Ingegneria Sanitaria-AmbientalePerched leachate zoneLandfill
researchProduct

Sensitivity analysis and uncertainty assessment of a SMBR model

2008

Over the last decade new technologies are emerging even more for wastewater treatment. Among the new technologies, a recent possible solution regards membrane bioreactors (MBRs) that represent a promising alternative to conventional processes. Nowadays, the recurrence to mathematical models as reliable tools in planning as well as management issues is of growing interest in Wastewater Treatment Plants field. Regarding MBR modelling, due to the intrinsic complexity and uncertainty in some processes, basic models that can provide a holistic understanding of the technology at a fundamental level are of great necessity. Many mathematical models have been developed for modelling the MBR which ba…

Mathematical modelSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleMembrane reactorASMUncertainty
researchProduct

A QUANTITY-QUALITY MATHEMATICAL MODEL FOR MUNICIPAL SOLID WASTE LANDFILL: MODEL CALIBRATION AND SENSITIVITY ANALYSIS

2015

Landfill leachate represents nowadays one of the most important issue related to the waste management cycle. Knowledge about leachate distribution and transport as well as fate of pollutants is fundamental for understanding the behavior of the landfill reactor. In the present study, a simple 1-D mathematical model was developed for the simulation of the vertical leachate fluxes throughout a landfill for MSW as well as the fate of inorganic pollutants within the landfill leachate pathway. The model was based on mass balance equations, which allowed to evaluate the moisture accumulation inside the landfill body as well as contaminant transport processes. The model enables to calculate the moi…

Mathematical modelSettore ICAR/03 - Ingegneria Sanitaria-Ambientalefate of inorganic pollutantsleachate distribution
researchProduct

Greenhouse gas emissions from integrated urban drainage systems: where do we stand?

2018

As sources of greenhouse gas (GHG) emissions, integrated urban drainage systems (IUDSs) (i.e., sewer systems, wastewater treatment plants and receiving water bodies) contribute to climate change. This paper, produced by the International Working Group on Data and Models, which works under the IWA/IAHR Joint Committee on Urban Drainage, reviews the state-of-the-art and modelling tools developed recently to understand and manage GHG emissions from IUDS. Further, open problems and research gaps are discussed and a framework for handling GHG emissions from IUDSs is presented. The literature review reveals that there is a need to strengthen already available mathematical models for IUDS to take …

Mathematical modellingSettore ICAR/03 - Ingegneria Sanitaria-Ambientale0208 environmental biotechnologyEnvironmental engineeringClimate change02 engineering and technology010501 environmental sciencesInternational working group01 natural sciences020801 environmental engineeringWater quality/dk/atira/pure/sustainabledevelopmentgoals/climate_actionGreenhouse gasSDG 13 - Climate ActionEnvironmental scienceIntegrated urban drainage modellingSewage treatmentGHGWater qualityDrainage0105 earth and related environmental sciencesWater Science and Technology
researchProduct

Global sensitivity analysis for urban water quality modelling: Terminology, convergence and comparison of different methods

2015

Abstract Sensitivity analysis represents an important step in improving the understanding and use of environmental models. Indeed, by means of global sensitivity analysis (GSA), modellers may identify both important ( factor prioritisation ) and non-influential ( factor fixing ) model factors. No general rule has yet been defined for verifying the convergence of the GSA methods. In order to fill this gap this paper presents a convergence analysis of three widely used GSA methods (SRC, Extended FAST and Morris screening) for an urban drainage stormwater quality–quantity model. After the convergence was achieved the results of each method were compared. In particular, a discussion on peculiar…

Mathematical optimizationMathematical modelSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleUncertaintyContrast (statistics)Numerical method6. Clean waterTerm (time)law.inventionSystems analysisMathematical modelMathematical models; Numerical methods; Sewer sediments; Systems analysis; Uncertainty; Urban drainage modelling; Water Science and TechnologySystems analysilawSewer sedimentConvergence (routing)StatisticsVenn diagramSensitivity (control systems)Urban drainage modellingReliability (statistics)MathematicsWater Science and Technology
researchProduct

Uncertainty Propagation in Integrated Urban Water Quality Modelling

2018

Sensitivity and uncertainty assessment of integrated urban drainage water quality models are crucial steps in the evaluation of the reliability of model results. Indeed, the assessment of the reliability of the results of complex water quality models is crucial in understanding their significance. In the case of integrated urban drainage water quality models, due to the fact that integrated approaches are basically a cascade of sub-models (simulating the sewer system, wastewater treatment plant and receiving water body), uncertainty produced in one sub-model propagates to the following ones in a manner dependent on the model structure, the estimation of parameters and the availability and u…

Mathematical optimizationPropagation of uncertaintySettore ICAR/03 - Ingegneria Sanitaria-AmbientaleComputer scienceStandard deviationpollution evaluationKeywords: Integrated urban drainage modelling Environmental water quality management Pollution evaluation Uncertainty analysisIntegrated urban drainage modellingSensitivity (control systems)Water qualityDrainageGLUEuncertainty analysisenvironmental water quality managementUncertainty analysisReliability (statistics)
researchProduct

Global sensitivity analysis in wastewater treatment modelling

2019

Global sensitivity analysis (GSA) is a valuable tool to support the use of mathematical models. GSA allows the identifcation of the effect of model and input factor uncertainty on the model response, also considering the effect due to the interactions among factors. During recent years, the wastewater modelling feld has embraced the use of GSA. Wastewater modellers have tried to transfer the knowledge and experience from other disciplines and other water modelling felds.

Mathematical optimizationSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleComputational burden convergence modelling numerical methods sensitivity analysis water modellingGlobal sensitivity analysisNumerical analysisConvergence (routing)Sewage treatmentMathematics
researchProduct

Oil-degrading bacteria from a membrane bioreactor (MBR) system for treatment of saline oily waste: isolation, identification and characterization of …

2015

This study was focused on the microbial community characterization during operation of a Membrane Bioreactor System, used for the treatment of saline oily wastes, originated from marine transportation. A collection of forty-two (42) strains was obtained during microbiological screening and the bacterial diversity analyzed by amplification and 16S rRNA sequencing. Taxonomic analysis has shown a high level of identity with recognized sequences for a total of seven (7) distinct bacterial genera (Alcanivorax, Erythrobacter, Marinobacter, Microbacterium, Muricauda, Rhodococcus and Rheinheimera). The biotechnological potential of all isolates was identified by the estimate of two key factors, suc…

Membrane Bioreactor SystemSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleAlcanivoraxsaline oily wastesSettore BIO/19 - Microbiologia Generale
researchProduct

Application of the Oxic-Settling-Anaerobic Process in a Membrane Bioreactor for Excess Sludge Reduction

2017

The main goal of this study was the evaluation of the excess sludge reduction in a MBR for biological nitrogen removal (BNR) through the implementation of the Oxic-Settling-Anaerobic (OSA) process. For this purpose, a MBR pilot plant (42 L volume) was realized according to a pre-denitrification scheme. The whole experimentation was divided into two periods, named Period 1 and Period 2, respectively. In Period 1 the pilot plant was started-up and the excess sludge production was evaluated. In Period 2 the plant configuration was partially modified by inserting an anaerobic reactor into the return activated sludge (RAS) line to realize an OSA configuration. In Period 1, the Yobs resulted equa…

Membrane bioreactor Excess sludge minimization OSAAnaerobic respirationPilot plantActivated sludgeSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleVolume (thermodynamics)SettlingChemistryHeterotrophBiomassMembrane bioreactorPulp and paper industry
researchProduct

Minimizing membrane bioreactor environmental footprint by multiple objective optimization.

2020

This paper presents a modelling study aimed at minimizing the environmental foot print of a membrane bioreactor (MBR) for wastewater treatment. Specifically, an integrated model for MBR was employed in view of the management optimization of an MBR biological nutrient removal (BNR) pilot plant in terms of operational costs and direct greenhouse gases emissions. The influence of the operational parameters (OPs) on performance indicators (PIs) was investigated by adopting the Extended-FAST sensitivity analysis method. Further, a multi-objective analysis was performed by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results show-up that the sludge …

Membrane fouling0106 biological sciencesEnvironmental EngineeringWastewater treatment plantMathematical modelling optimizationBioengineeringWastewater010501 environmental sciencesMembrane bioreactor01 natural sciencesWaste Disposal FluidGreenhouse GasesBioreactors010608 biotechnologyWaste WaterProcess engineeringWaste Management and Disposal0105 earth and related environmental sciencesSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleSewageRenewable Energy Sustainability and the Environmentbusiness.industryMembrane foulingTOPSISMembranes ArtificialGeneral MedicineIdeal solutionPilot plantGreenhouse gasMulti-objective analysisEnvironmental scienceSewage treatmentPerformance indicatorbusinessBiotechnology
researchProduct