Modelling data of an urban drainage design using a Geographic Information System (GIS)database

This paper describes the development of a model to interface a planned urban drainage system with Geographic Information System (GIS)through the introduction of open-source tools; Auto Numbering and Get Elevation to extract essential data from GIS and Excel2GIS to bridge the output data between GIS and the drainage design program. Creating a range of essential data from digital database repositories aids the development of decision-support tools for urban planners in a simulation of different urban drainage scheme scenarios and moderates the interference with other infrastructure utilities. These tools, modelled with design software and GIS platform, are tested in two case studies; the results revealing essential improvements in accuracy of output, time taken to prepare and run the model and model presentation which visualised the hydraulic design results and global location of the drainage layout on an urban master plan. © 2019 Elsevier B.V

Municipal solid waste management system: decision support through systems analysis

Thesis submitted to the Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia for the degree of Doctor of Philosophy in Environmental EngineeringThe present study intends to show the development of systems analysis model applied to solid waste management system, applied into AMARSUL, a solid waste management system responsible for the management of municipal solid waste produced in Setúbal peninsula, Portugal. The model developed intended to promote sustainable decision making, covering the four columns: technical, environmental, economic and social aspects. To develop the model an intensive literature review have been conducted. To simplify the discussion, the spectrum of these systems engineering models and system assessment tools was divided into two broadly-based domains associated with fourteen categories although some of them may be intertwined with each other. The first domain comprises systems engineering models including cost-benefit analysis, forecasting analysis, simulation analysis, optimization analysis, and integrated modeling system whereas the second domain introduces system assessment tools including management information systems, scenario development, material flow analysis, life cycle assessment (LCA), risk assessment, environmental impact assessment, strategic environmental assessment, socio-economic assessment, and sustainable assessment. The literature performed have indicated that sustainable assessment models have been one of the most applied into solid waste management, being methods like LCA and optimization modeling (including multicriteria decision making(MCDM)) also important systems analysis methods. These were the methods (LCA and MCDM) applied to compose the system analysis model for solid waste. The life cycle assessment have been conducted based on ISO 14040 family of norms; for multicriteria decision making there is no procedure neither guidelines, being applied analytic hierarchy process (AHP) based Fuzzy Interval technique for order performance by similarity to ideal solution (TOPSIS). Multicriteria decision making have included several data from life cycle assessment to construct environmental, social and technical attributes, plus economic criteria obtained from collected data from stakeholders involved in the study. The results have shown that solutions including anaerobic digestion in mechanical biological treatment plant plus anaerobic digestion of biodegradable municipal waste from source separation, with energetic recovery of refuse derived fuel (RDF) and promoting pays-as-you-throw instrument to promote recycling targets compliance would be the best solutions to implement in AMARSUL system. The direct burning of high calorific fraction instead of RDF has not been advantageous considering all criteria, however, during LCA, the results were the reversal. Also it refers that aerobic mechanical biological treatment should be closed.Fundação para a Ciência e Tecnologia - SFRH/BD/27402/200

Model for the Automated Generation of Optimized Work Packages in Results-Based-Finance Mega Sanitation Projects

The sanitation sector is one of the critical sectors in any country. The lack of proper sanitation systems causes many environmental hazards that threaten people’s health and well-being. In many developing countries, the sanitation sector constitutes a significant part of their strategic plans of reform. However, with the public treasury’s very limited budget, countries opt to major lending institutions for funds. “Results-Based-Finance” is a new funding mechanism used by many lending institutions. The mechanism has proven its efficiency in achieving the necessary reform in sanitation sectors. Due to the complexity of the funding tool, it is crucial to be able to decompose the project into smaller packages to be able to manage and control the project effectively. The objective of this dissertation is to reach an optimum packaging scheme that enables mega sanitation infrastructure projects to be successfully managed through better planning and cost control practices. The model aim shall be to minimize the amount of funds needed from the borrowing country through three options: by reducing the peak value of the negative cashflow curve, by normalizing the negative cashflow curve, or by a combination of the previous two objectives. With the aid of Unified Modelling Language (UML), an algorithm is developed to map the logic behind the model suggested with detailed illustrations of its different modules. Object-oriented processes and operations are modeled using various diagrams of the language, which automatically generate the optimum packaging combination. The packaging model is then implemented via a number of computer-aided programs. Microsoft Excel is used for calculation purposes. Visual Basic for Applications (VBA) programming language is used to make the model user-friendly for non-engineering stakeholders. Palisade\u27s Decision Tools Suite is used for the genetic algorithm optimization process. In order to verify the model, different approaches have been used, which include system checks to minimize programming errors. Moreover, a sensitivity analysis module has been designed with the aid of Top Rank software in order to ensure the flexibility and the capabilities of the constructed model. After the model verification is conducted, the model shall be validated using data from a case study of a mega sanitation results-based financed project located in Egypt. The project is achieved through the World Bank and aims to strengthen the Egyptian Institutions for better service delivery by providing incentives. The project worth is 550 Million USD. The ability of the model to plot the optimization process and the suggested outputs is proven feasible. The model output is not only the content of the packages but also a complete managing plan which demonstrates much useful information to the decision-makers and government officials. Moreover, the model has reduced the peak value of the negative cashflow curve by 18.7 percent, normalized the negative cashflow curve by 5.4 percent, and the model has reduced the funding gap in general by 8.9 percent

Modeling Total Suspended Solids in Combined Sewer Systems

The untreated overflow of combined sewer system contains a variety of pollutants that can contaminate the receiving water body. Total suspended solids (TSS) transported in the sewer networks can adsorb these pollutants and become the main contaminant source. Existing models contain a numerous formulas that make the calculation process complex and time consuming. A simplified model was presented in this thesis to simulate the process of TSS transport in combined sewer pipes. The combined sewer system evaluated was a combination of an existing sewer system in Le Marais and an example system provided with the Storm Water Management Model (SWMM). SWMM was used in this research to simulate the rainfall event, pollutant build-up and wash-off process, and to provide hydraulic calculations for the combined sewer system. A spreadsheet model was created to calculate the TSS concentration profile and flow velocity profile. The total TSS transport rate was computed using a numerical estimation of the integral of the concentration in the cross-section area multiplied by the velocity. The flow depth, velocity, and Froude number of each pipe was calculated to show that the combined sewer system was under proper working conditions. The first flush phenomenon was observed by plotting the TSS concentration pollutograph of the combined sewer system. From the TSS transport pollutograph, the maximum transport rate was found (0.2609 kg/s at 6:45). The study of TSS profile showed that the concentration distribution was based on the solid density. The TSS particle also affected the transport rate. A sensitivity analysis of particle size was conducted in this thesis. A second order polynomial was used to describe the relationship between median particle size d50¬ ¬and TSS transport rate

Automated catchment definition for simulations of city-scale stormwater network : a case study to improve Helsinki combined sewer system model

The growing impact of climate change on the frequency of extreme weather events and the quality of surface water has necessitated more accurate urban stormwater modeling. Establishing stormwater models can save resources and minimize detrimental environmental impacts when the most critical parts of the network are identified first. The EPA Storm Water Management Model (SWMM) is widely used to study runoff in urban areas. Rainfall-runoff modeling with SWMM requires precise characterization of sub-catchments. However, the delineation and parametrization of accurate sub-catchments for large urban areas and a city-scale model is a time-consuming and complex process, which makes it tedious and prone to designers' errors. Manual catchment delineation and parametrization challenges indicate the need for automated tools to save modelers a significant amount of time and prevent manual errors. Nonetheless, automated methods can only be used if they are proven to demonstrate their ability to provide realistic results. Furthermore, selecting the spatial resolution of the sub-catchments remains a challenge for simulating the models without a high computational burden. The main objectives of the thesis were to assess methods for automated delineation and parametrization of SWMM sub-catchments for city-scale modeling applications. The target was to avoid manual work as much as possible while keeping the results consistent using varying Geographic Information System (GIS) approaches and literature values. Testing the automated methods was investigated in two main steps. In the first step, four different GIS-based methods are used, namely: the old HSY method, QGIS, GISTOSWMM, and SCALGO. SWMM sub-catchments were created using these methods in four selected case areas within the Helsinki combined sewer network (CSN) in Finland. The methods were compared with each other, focusing on the fluency of the process, hydraulic results, spatial resolution, and the capability to be used in a city-scale model. In addition, the thesis discusses the impacts of using automation, a new imperviousness layer, and varying levels of detail in catchment definition. In the second step, the best method was used for the whole Helsinki CSN for evaluation in an extensive city-scale model. The results indicate that the SCALGO method can be used to make hydrological models that range from small to city-scale due to its fast and accurate catchment definition, adjustable spatial resolution, and good model performance. It was found that including stormwater inlets in the SCALGO catchment definition method had a minor effect on the hydraulic results. The use of merged sub-catchments with a minimum adjustable area via the SCALGO toolbox was found practical for finding a suitable subcatchments size. Furthermore, the new data (La-serVesi) obtained from an automated imperviousness surface detection model was useful in estimating the sub-catchments imperviousness parameter. The results of this study make it easier to update sub-catchments for city-scale models. In Helsinki, this is particularly interesting as the network is upgraded annually and more separate sewers are built. While this study focused on automated catchment definition methods for city-scale networks, the findings provide in-depth information about SWMM models' automatic implementation for urban catchments without calibration

Metropolitan water intelligence systems completion report, phase III

Submitted to: U.S. Department of the Interior, Office of Water Resources Research.Series numbering taken from cover.June 1974.Grant no. 14-31-0001-9028

Advances in Sustainable River Management

The main objective of this Special Issue is to contribute in understanding and provide science-based knowledge, new ideas/approaches and solutions in sustainable river management, to improve water management policies and practices following different environmental requirements aspects

Improvements in modelling wastewater treatment plants for design, optimisation and education

Seit mehr als 3 Jahrzehnten stehen Belebtschlammmodelle als Werkzeuge für die ingenieurtechnische Planung und Optimierung von Kläranlagen zur Verfügung. Die Verbreitung und Anwendung speziell im deutschsprachigen Raum ist dabei geringer als in anderen Weltregionen. Dies ist im Zusammenhang mit dem detaillierten DWA-Regel-werk zu sehen, das auf Seite der Anwendenden kaum zusätzlichen Bedarf für weitere Werk¬zeuge für die Anlagenplanung und –optimierung erwachsen lässt. Dies gilt ebenso für die Über¬wachungs- und Genehmigungsseite. Die vorliegende Arbeit bietet für verschiedenste Aspekte im Bereich der Kläranlagen-modellierung Methoden und Werkzeuge, um durch effizientere Nutzung eine weitere Etablierung voranzutreiben und eine breite allgemein verbindliche Anwendung zu manifestieren. Dies betrifft konkret: Protokolldefinition für eine allgemeine Vorgehensweise (Kapitel 1.4 und 7.1) Skriptbasierte Unterstützung der Datenauswertung, Prüfung und Aufbereitung (Kapitel 6 und 7.4) Zulaufdatengenerierung für lückenbehaftete Betriebsdaten (Kapitel 3) Analyse des Verweilzeitverhaltens basierend auf Betriebsdaten (Kapitel 5) Modellkopplung für plant-wide modelling (Kapitel 4 und 7.3) Modellerweiterungen für Belebtschlammmodelle (Kapitel 7.2) Basis sind wie bei klassischen Bemessungs¬frage¬stellungen die vorhandenen Betriebs¬da-ten von Kläranlagen. Für die Nutzung sowohl zur statischen Bemessung als auch zur dyna¬mi¬schen Simulation sind diese nach geeigneter Zusammenstellung und Aufbereitung hin¬sicht¬lich ihrer Eignung und Qualität zu bewerten. Dieser eher handwerkliche Schritt wird durch skriptbasierte Module unterstützt, um der eigentlichen Planungsaufgabe mehr Zeit widmen zu können. Eine beispielhafte Vorgehensweise wird in dieser Arbeit in Kapitel 6 präsentiert. Dies stellt aus Effizienz- und Qualitätsgründen einen Fortschritt dar. Die Betriebsdaten von kommunalen Kläranlagen speziell unterhalb der Größenklasse 5 sind sehr lückenbehaftet. Daher sind geeignete Methoden erforderlich, um die Daten zu einem kontinuierlichen Zulaufdatensatz aufzubereiten. Eine mögliche Methode findet sich in Kapitel 3 dieser Arbeit. Auch dies unterstützt die Qualitätsverbesserung. Für die praxisnahe Modellanwendung stellen die bereits verfügbaren Belebt¬schlamm-modelle eine geeignete Basis dar. Allerdings wurden einige offene Fragestellungen identifiziert. Konzepte und Vorschläge für entsprechende Modellerweiterungen finden sich im Kapitel 7.1. Dies betrifft den Umgang mit inerten Stofffrachten, Dosierung externer Kohlenstoffquellen, Lösungen für hohe Anteile industrieller Abwässer sowie die P-Elimination. Auch eine methodische Vorgehensweise für den praktischen Einsatz wurde basierend auf allgemeingültigeren Simulations¬protokollen entwickelt, um die Bear¬bei¬tung strukturierter und damit sowohl nachvollzieh¬barer als auch effizienter zu gestalten (Kapitel 1.4 und 7.1). Das Verweilzeitverhalten hat erheblichen Einfluss auf erzielbare Umsatzraten sowie die erreich¬baren Ablaufkonzentrationen. Eine diesbezügliche Analyse ist allerdings noch kein Standard¬werkzeug bei der Betrachtung bestehender Kläranlagen. Im Einzelfall bestehen allerdings erhebliche Optimierungspotentiale bei strömungsungünstiger Gestaltung. Neben der Nutzung von computational fluid dynamics (CFD) als Analysewerkzeug kann auch die Auswertung von speziellen Tracerversuchen oder die Nutzung vorliegender Daten für die Analyse des Verweilzeitverhaltens genutzt werden. Im Kapitel 5 finden sich entsprechende Erläuterungen und methodische Beispiele. Die zunehmende Durchdringung ingenieurtechnischer Bereiche mit IT-basierten Werk-zeu¬gen führt auch zu Weiterentwicklungen bei der Arbeit mit Daten. Die Besonder-heiten im Bereich der Kläranlagenplanung und Optimierung werden in dieser Arbeit beleuchtet und mit dem vorgestellten methodischen Rahmen eine Möglichkeit der modularisierten Abarbeitung wiederkehrender Aufgaben in Kapitel 6 demonstriert. Die Einbettung möglicher weiterer Werkzeuge wie z.B. Simulationssoftware in open source basierte Skripte ermöglicht eine maximale Flexibilität bei gleichzeitig hoher Transparenz. Je nach Aufgabenstellung finden sich in dieser Arbeit Ergänzungen und Hilfestellungen in Form von Werkzeugen oder methodischen Empfehlungen, um den Bearbeitungsaufwand zu minimieren sowie die Bearbeitungsqualität zu erhöhen unter gleichzeitiger Verbesserung der Transparenz für alle am Planungs- bzw. Optimierungsprozess Beteiligten. Dadurch wird eine tatsächliche Anwendung in der täglichen Ingenieurpraxis erheblich vereinfacht. Durch Integration der präsentierten Entwicklungen in die siedlungs¬wasserwirtschaftliche Ausbildung ist außerdem eine zukünftige niedrig¬schwelligere und damit breitere Nutzung zu erwarten.:1 General introduction 1 1.1 Explanation of terms 1 1.2 Motivation 2 1.3 Background 4 1.3.1 Quality assurance in the performance of simulation studies 4 1.3.2 Special features of simulation studies for wastewater treatment plants in German-speaking countries 6 1.4 Aims, differentiation and objectives 7 1.5 Structure of the document 9 1.6 References 10 2 Growth of science in activated sludge modelling – a critical bibliometric review 13 2.1 Highlights 13 2.2 Abstract 13 2.3 Introduction 14 2.3.1 Motivation 14 2.3.2 Introduction into bibliometrics 15 2.3.3 Objective 15 2.4 Material and Methods 16 2.4.1 Database and tools 16 2.4.1.1 Selection of database 16 2.4.1.2 Development of the number of data sets in the Web of Science 19 2.4.2 Bibliometric analysis of the entire data set 20 2.4.3 Analysis of time-related developments 23 2.4.4 Keyword development within the examined topic area 24 2.5 Results and Discussion 25 2.5.1 Bibliometric analysis of the entire database 25 2.5.2 Journal-based measures 28 2.5.3 Source dynamics 30 2.5.4 Author impact measures 30 2.5.5 Document-based measures 35 2.5.6 Structural Analysis 36 2.5.7 Analysis of time-related developments 40 2.5.8 Keyword development within the scientific field under investigation 44 2.6 Critical comments on the methodology 47 2.7 Recommendations for conducting a bibliometric analysis 49 2.8 Conclusions 50 2.9 References 52 3 A black-box model for generation of site-specific WWTP influent quality data based on plant routine data 56 3.1 Introduction 56 3.2 Material and Methods 58 3.3 Results and discussion 62 3.3.1 Test of robustness 63 3.3.2 Universality of the approach 66 3.4 Conclusions and outlook 69 3.5 References 70 4 Organic matter parameters in WWTP – a critical review and recommendations for application in activated sludge modelling 74 4.1 Highlights 74 4.2 Abstract 74 4.3 Introduction 75 4.4 Theoretical Considerations 76 4.5 Review of literature data of WWTP sludge 80 4.5.1 Literature survey 80 4.5.2 Measures related to total and volatile organic matter 81 4.5.3 Sludge composition based on biochemical families 83 4.6 Results and Discussion 85 4.6.1 Solids 85 4.6.2 COD and COD/VSS ratio 87 4.6.3 Connection between LPC and COD/VSS ratio 90 4.7 Application to plant-wide-modelling 92 4.7.1 Solids in Activated Sludge Models 92 4.7.2 Organic and inorganic solids 94 4.7.3 COD influent characterisation 96 4.7.4 Adaptation of research results and discussion 97 4.8 Conclusions 101 4.9 Data availability statement 101 4.10 References 101 5 Temperature as an alternative tracer for the determination of the mixing characteristics in wastewater treatment plants 108 5.1 Abstract 108 5.2 Introduction 108 5.2.1 Historical background 109 5.2.2 Alternatives in evaluation of tracer tests 110 5.2.3 Objective of this paper 112 5.3 Material and Methods 112 5.3.1 Lab-scale system 112 5.3.2 Pilot-scale system 113 5.3.3 Procedure 114 5.3.3.1 Substitute hydraulic model 114 5.3.3.2 Energy balance 115 5.3.3.3 Parameter estimation 117 5.4 Results and Discussion 118 5.4.1 Lab-scale system 118 5.4.2 Pilot-scale system 121 5.4.3 Sensitivity tests for optimised substitute model parameters 124 5.4.3.1 Lab scale tests 124 5.4.3.2 Pilot scale tests 126 5.4.4 Influence of recirculation 126 5.4.5 Consideration of variable flow rates 127 5.4.6 Impact of the structured model approach on ASM parameters 127 5.5 Conclusions 131 5.6 References 133 6 One script to solve it all – an open-source-based framework for a digital workflow based on WWTP data 137 6.1 Abstract 137 6.2 Highlights 138 6.3 Introduction 138 6.4 Fundamentals and requirements 138 6.5 Material and Methods 142 6.5.1 Background to the case study 142 6.5.2 Development of the concept 144 6.5.3 Technical implementation 145 6.6 Results 148 6.6.1 Preparation and data import 148 6.6.2 Plausibility checks 149 6.6.3 Calculation of design parameters (A198) 150 6.6.4 Design of WWTP (A131) 151 6.6.5 Activated sludge modelling 152 6.7 Discussion 153 6.7.1 Practical advantages of the developed methodology 153 6.7.2 Lessons learned from development process and first use 153 6.8 Conclusions 157 6.9 References 158 7 Enhancements for a practical application 161 7.1 Evolution of unified protocol of GMP taskgroup 161 7.1.1 Overview 161 7.1.2 Understand the plant + plant layout selection 163 7.1.3 Collection of existing data 163 7.1.4 Iterative process cycle for data analysis and plant model setup / adjustment 164 7.2 Extensions to the activated sludge model (ASM_EDU) 166 7.2.1 Background 166 7.2.2 Separation of inert particulate COD by origin 168 7.2.3 Integration of external carbon sources 169 7.2.4 Consideration of the influence of industrial discharges 171 7.2.5 Consideration of different precipitants in chemical P elimination 174 7.3 Plant-wide modelling 176 7.4 Digital transformation for efficiency enhancement 178 7.5 References 182 8 Conclusions and Outlook 187 8.1 Developments in the field of WWTP modelling 187 8.2 Future significance in science and application practice 188 8.3 Further scientific research needs 189 8.4 Changing the way engineering works 191 8.5 References 193 9 Appendices 195 9.1 Supplementary material for Chapter 4 195 9.1.1 References for sludge data 195 9.1.2 Data survey from references 217 9.2 Supplementary material for Chapter 6 217For more than three decades, activated sludge models have been used as tools for the engineering planning and optimisation of wastewater treatment plants. However, their use is less widespread, particularly in German-speaking countries, due to the detailed rules and regulations of the DWA, which do not create a demand for additional tools for plant planning and optimisation. This also applies to the surveillance and authorisation side. The current work offers methods and tools for various aspects of wastewater treatment plant modeling in order to promote further adoption through more efficient use and to facilitate a broad, generally binding application. This includes: Definition of a protocol for the general approach (Chapter 1.4 and 7.1) Script-based support for data evaluation, testing, and processing (Chapters 6 and 7.4) Generation of inflow data for incomplete operational data (Chapter 3) Analysis of residence time behavior based on operational data (Chapter 5) Model interfacing for plant-wide modeling (Chapters 4 and 7.3) Model extensions for activated sludge models (Chapter 7.2) The existing operational data of wastewater treatment plants is the foundation for classical design questions. In order to be used in both static design and dynamic simulation, the data must be evaluated for their suitability and quality after appropriate compilation and processing. This manual step is supported by script-based modules to allow more time for the actual planning task. An exemplary procedure is presented in Chapter 6 of this thesis, which represents progress in terms of efficiency and quality. The operational data of municipal wastewater treatment plants, especially those below size class 5, are often incomplete. Therefore, it is necessary to develop suitable methods for processing these data into a continuous influent data set. One such method is presented in chapter 3 of this thesis. This method also helps to improve the quality of the data. For practical model application, the existing activated sludge models provide a suitable foundation. However, some open questions have been identified, and concepts and suggestions for corresponding model extensions can be found in chapter 7.1. These include handling inert material loads, dosing of external carbon sources, solutions for high proportions of industrial wastewater, and P elimination. A methodological approach for practical application has also been developed based on more general simulation protocols in order to structure the process and make it more comprehensible and efficient (Chapters 1.4 and 7.1). The residence time behaviour has a significant impact on the achievable conversion rates and effluent concentrations. However, an analysis of this behaviour is not yet a standard tool when considering existing wastewater treatment plants. In certain cases, however, there is significant potential for optimisation in cases of flow-unfavourable design. In addition to using computational fluid dynamics (CFD) as an analysis tool, the evaluation of special tracer tests or the use of existing data can also be used to analyse retention time behaviour. Chapter 1.4 und 7.1 provides explanations and examples The increasing use of IT-based tools in engineering fields also leads to further developments in working with data. The special features in the area of wastewater treatment plant planning and optimisation are highlighted in this thesis and a possibility of modularised processing of recurring tasks is demonstrated with the presented methodological framework in chapter 6. The embedding of possible further tools such as simulation software in open source-based scripts allows for maximum flexibility while maintaining a high degree of transparency. Depending on the task, this thesis provides supplements and assistance in the form of tools or methodological recommendations to minimise the processing effort and increase the processing quality while improving transparency for all those involved in the planning or optimisation process. This considerably simplifies actual application in daily engineering practice. By integrating the presented developments into urban water management training, a lower-threshold and thus broader use can also be expected in the future.:1 General introduction 1 1.1 Explanation of terms 1 1.2 Motivation 2 1.3 Background 4 1.3.1 Quality assurance in the performance of simulation studies 4 1.3.2 Special features of simulation studies for wastewater treatment plants in German-speaking countries 6 1.4 Aims, differentiation and objectives 7 1.5 Structure of the document 9 1.6 References 10 2 Growth of science in activated sludge modelling – a critical bibliometric review 13 2.1 Highlights 13 2.2 Abstract 13 2.3 Introduction 14 2.3.1 Motivation 14 2.3.2 Introduction into bibliometrics 15 2.3.3 Objective 15 2.4 Material and Methods 16 2.4.1 Database and tools 16 2.4.1.1 Selection of database 16 2.4.1.2 Development of the number of data sets in the Web of Science 19 2.4.2 Bibliometric analysis of the entire data set 20 2.4.3 Analysis of time-related developments 23 2.4.4 Keyword development within the examined topic area 24 2.5 Results and Discussion 25 2.5.1 Bibliometric analysis of the entire database 25 2.5.2 Journal-based measures 28 2.5.3 Source dynamics 30 2.5.4 Author impact measures 30 2.5.5 Document-based measures 35 2.5.6 Structural Analysis 36 2.5.7 Analysis of time-related developments 40 2.5.8 Keyword development within the scientific field under investigation 44 2.6 Critical comments on the methodology 47 2.7 Recommendations for conducting a bibliometric analysis 49 2.8 Conclusions 50 2.9 References 52 3 A black-box model for generation of site-specific WWTP influent quality data based on plant routine data 56 3.1 Introduction 56 3.2 Material and Methods 58 3.3 Results and discussion 62 3.3.1 Test of robustness 63 3.3.2 Universality of the approach 66 3.4 Conclusions and outlook 69 3.5 References 70 4 Organic matter parameters in WWTP – a critical review and recommendations for application in activated sludge modelling 74 4.1 Highlights 74 4.2 Abstract 74 4.3 Introduction 75 4.4 Theoretical Considerations 76 4.5 Review of literature data of WWTP sludge 80 4.5.1 Literature survey 80 4.5.2 Measures related to total and volatile organic matter 81 4.5.3 Sludge composition based on biochemical families 83 4.6 Results and Discussion 85 4.6.1 Solids 85 4.6.2 COD and COD/VSS ratio 87 4.6.3 Connection between LPC and COD/VSS ratio 90 4.7 Application to plant-wide-modelling 92 4.7.1 Solids in Activated Sludge Models 92 4.7.2 Organic and inorganic solids 94 4.7.3 COD influent characterisation 96 4.7.4 Adaptation of research results and discussion 97 4.8 Conclusions 101 4.9 Data availability statement 101 4.10 References 101 5 Temperature as an alternative tracer for the determination of the mixing characteristics in wastewater treatment plants 108 5.1 Abstract 108 5.2 Introduction 108 5.2.1 Historical background 109 5.2.2 Alternatives in evaluation of tracer tests 110 5.2.3 Objective of this paper 112 5.3 Material and Methods 112 5.3.1 Lab-scale system 112 5.3.2 Pilot-scale system 113 5.3.3 Procedure 114 5.3.3.1 Substitute hydraulic model 114 5.3.3.2 Energy balance 115 5.3.3.3 Parameter estimation 117 5.4 Results and Discussion 118 5.4.1 Lab-scale system 118 5.4.2 Pilot-scale system 121 5.4.3 Sensitivity tests for optimised substitute model parameters 124 5.4.3.1 Lab scale tests 124 5.4.3.2 Pilot scale tests 126 5.4.4 Influence of recirculation 126 5.4.5 Consideration of variable flow rates 127 5.4.6 Impact of the structured model approach on ASM parameters 127 5.5 Conclusions 131 5.6 References 133 6 One script to solve it all – an open-source-based framework for a digital workflow based on WWTP data 137 6.1 Abstract 137 6.2 Highlights 138 6.3 Introduction 138 6.4 Fundamentals and requirements 138 6.5 Material and Methods 142 6.5.1 Background to the case study 142 6.5.2 Development of the concept 144 6.5.3 Technical implementation 145 6.6 Results 148 6.6.1 Preparation and data import 148 6.6.2 Plausibility checks 149 6.6.3 Calculation of design parameters (A198) 150 6.6.4 Design of WWTP (A131) 151 6.6.5 Activated sludge modelling 152 6.7 Discussion 153 6.7.1 Practical advantages of the developed methodology 153 6.7.2 Lessons learned from development process and first use 153 6.8 Conclusions 157 6.9 References 158 7 Enhancements for a practical application 161 7.1 Evolution of unified protocol of GMP taskgroup 161 7.1.1 Overview 161 7.1.2 Understand the plant + plant layout selection 163 7.1.3 Collection of existing data 163 7.1.4 Iterative process cycle for data analysis and plant model setup / adjustment 164 7.2 Extensions to the activated sludge model (ASM_EDU) 166 7.2.1 Background 166 7.2.2 Separation of inert particulate COD by origin 168 7.2.3 Integration of external carbon sources 169 7.2.4 Consideration of the influence of industrial discharges 171 7.2.5 Consideration of different precipitants in chemical P elimination 174 7.3 Plant-wide modelling 176 7.4 Digital transformation for efficiency enhancement 178 7.5 References 182 8 Conclusions and Outlook 187 8.1 Developments in the field of WWTP modelling 187 8.2 Future significance in science and application practice 188 8.3 Further scientific research needs 189 8.4 Changing the way engineering works 191 8.5 References 193 9 Appendices 195 9.1 Supplementary material for Chapter 4 195 9.1.1 References for sludge data 195 9.1.2 Data survey from references 217 9.2 Supplementary material for Chapter 6 21

Technology and Management Applied in Construction Engineering Projects

This book focuses on fundamental and applied research on construction project management. It presents research papers and practice-oriented papers. The execution of construction projects is specific and particularly difficult because each implementation is a unique, complex, and dynamic process that consists of several or more subprocesses that are related to each other, in which various aspects of the investment process participate. Therefore, there is still a vital need to study, research, and conclude the engineering technology and management applied in construction projects. This book present unanimous research approach is a result of many years of studies, conducted by 35 well experienced authors. The common subject of research concerns the development of methods and tools for modeling multi-criteria processes in construction engineering