Helmut Rechberger
Biographic Data
| ID | 6388231 |
|---|---|
| NAME | Helmut Rechberger |
| GIVEN NAMES | Helmut |
| FAMILY NAME | Rechberger |
| SIGNATURE | RECHBERGER H |
| AFFILIATIONS | TU Wien |
| ORCID | 0000-0002-7723-0635 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Austrian nitrogen budget following Unece guidance
Human activity over the past century has greatly disrupted the natural nitrogen (N) balance, harming health and the environment. Sustainable nitrogen management requires cross-sectoral governance, but studies tracking nitrogen flows across sectors are limited. This study assesses cross-sectoral sources, flows, and sinks of reactive nitrogen (Nr) in Austria, identifying direct N r inputs and emitting sectors. Using the ‘UNECE-Guidance Document on …
Closing the waste gap
Information Content, Complexity, and Uncertainty in Material Flow Analysis
Material Flow Analysis (MFA) is a useful method for modeling, understanding, and optimizing sociometabolic systems. Among others, MFAs can be distinguished by two general system properties: First, they differ in their complexity, which depends on system structure and size. Second, they differ in their inherent uncertainty, which arises from limited data quality. In this article, uncertainty and complexity in MFA are approached from a systems pers…
Quantitative Evaluation of Data Quality in Regional Material Flow Analysis
A method for quantitative evaluation of data quality in regional material flow analysis (MFA) is presented. The principal idea is that data quality is a multidimensional problem that cannot be judged by individual characteristics such as the data source, given that data from official statistics may not be per se of good quality and expert estimations may not be per se of bad quality, respectively. It appears that MFA data are never totally accura…
GIS‐based Analysis of Vienna's Material Stock in Buildings
The building stock is not only a huge consumer of resources (for its construction and operation), but also represents a significant source for the future supply of metallic and mineral resources. This article describes how material stocks in buildings and their spatial distribution can be analyzed on a city level. In particular, the building structure (buildings differentiated by construction period and utilization) of Vienna is analyzed by joini…
A Data Characterization Framework for Material Flow Analysis
The validity of material flow analyses (MFAs) depends on the available information base, that is, the quality and quantity of available data. MFA data are cross‐disciplinary, can have varying formats and qualities, and originate from heterogeneous sources, such as official statistics, scientific models, or expert estimations. Statistical methods for data evaluation are most often inadequate, because MFA data are typically isolated values rather t…
A Novel Approach to Characterize Data Uncertainty in Material Flow Analysis and its Application to Plastics Flows in Austria
Material flow analysis (MFA) is widely used to investigate flows and stocks of resources or pollutants in a defined system. Data availability to quantify material flows on a national or global level is often limited owing to data scarcity or lacking data. MFA input data are therefore considered inherently uncertain. In this work, an approach to characterize the uncertainty of MFA input data is presented and applied to a case study on plastics flo…
Added Values of Time Series in Material Flow Analysis: The Austrian Phosphorus Budget from 1990 to 2011
Material flow analysis is a tool that is increasingly used as a foundation for resource management and environmental protection. This tool is primarily applied in a static manner to individual years, ignoring the impact of time on the material budgets. In this study, a detailed multiyear model of the Austrian phosphorus budget covering the period 1990–2011 was built to investigate its behavior over time and test the hypothesis that a multiyear ap…
Prospecting and Exploring Anthropogenic Resource Deposits: The Case Study of Vienna's Subway Network
Urban mining is seen as a key strategy for the recovery of secondary raw materials from the built environment. Although large material stocks have been reported in infrastructure networks, their actual recoverability over time has received little attention so far. This article presents a case study on the prospection and exploration of the anthropogenic resources deposited in Vienna's subway network. After quantifying the built‐in materials in th…
Systematic Evaluation of Uncertainty in Material Flow Analysis
Material flow analysis (MFA) is a tool to investigate material flows and stocks in defined systems as a basis for resource management or environmental pollution control. Because of the diverse nature of sources and the varying quality and availability of data, MFA results are inherently uncertain. Uncertainty analyses have received increasing attention in recent MFA studies, but systematic approaches for selection of appropriate uncertainty tools…
Uncertainty in Material Flow Analysis
The contemporary European copper cycle: Statistical entropy analysis
The contemporary European copper cycle: 1 Year Stocks and Flows
The contemporary European copper cycle: Waste management subsystem
The contemporary European copper cycle: The characterization of technological copper cycles
No prominent works on this page.
The contemporary European copper cycle: Statistical entropy analysis
The contemporary European copper cycle: 1 Year Stocks and Flows
The contemporary European copper cycle: Waste management subsystem
The contemporary European copper cycle: The characterization of technological copper cycles
Systematic Evaluation of Uncertainty in Material Flow Analysis
Material flow analysis (MFA) is a tool to investigate material flows and stocks in defined systems as a basis for resource management or environmental pollution control. Because of the diverse nature of sources and the varying quality and availability of data, MFA results are inherently uncertain. Uncertainty analyses have received increasing attention in recent MFA studies, but systematic approaches for selection of appropriate uncertainty tools…
Uncertainty in Material Flow Analysis
A Novel Approach to Characterize Data Uncertainty in Material Flow Analysis and its Application to Plastics Flows in Austria
Material flow analysis (MFA) is widely used to investigate flows and stocks of resources or pollutants in a defined system. Data availability to quantify material flows on a national or global level is often limited owing to data scarcity or lacking data. MFA input data are therefore considered inherently uncertain. In this work, an approach to characterize the uncertainty of MFA input data is presented and applied to a case study on plastics flo…
Added Values of Time Series in Material Flow Analysis: The Austrian Phosphorus Budget from 1990 to 2011
Material flow analysis is a tool that is increasingly used as a foundation for resource management and environmental protection. This tool is primarily applied in a static manner to individual years, ignoring the impact of time on the material budgets. In this study, a detailed multiyear model of the Austrian phosphorus budget covering the period 1990–2011 was built to investigate its behavior over time and test the hypothesis that a multiyear ap…
Prospecting and Exploring Anthropogenic Resource Deposits: The Case Study of Vienna's Subway Network
Urban mining is seen as a key strategy for the recovery of secondary raw materials from the built environment. Although large material stocks have been reported in infrastructure networks, their actual recoverability over time has received little attention so far. This article presents a case study on the prospection and exploration of the anthropogenic resources deposited in Vienna's subway network. After quantifying the built‐in materials in th…
Quantitative Evaluation of Data Quality in Regional Material Flow Analysis
A method for quantitative evaluation of data quality in regional material flow analysis (MFA) is presented. The principal idea is that data quality is a multidimensional problem that cannot be judged by individual characteristics such as the data source, given that data from official statistics may not be per se of good quality and expert estimations may not be per se of bad quality, respectively. It appears that MFA data are never totally accura…
GIS‐based Analysis of Vienna's Material Stock in Buildings
The building stock is not only a huge consumer of resources (for its construction and operation), but also represents a significant source for the future supply of metallic and mineral resources. This article describes how material stocks in buildings and their spatial distribution can be analyzed on a city level. In particular, the building structure (buildings differentiated by construction period and utilization) of Vienna is analyzed by joini…
A Data Characterization Framework for Material Flow Analysis
The validity of material flow analyses (MFAs) depends on the available information base, that is, the quality and quantity of available data. MFA data are cross‐disciplinary, can have varying formats and qualities, and originate from heterogeneous sources, such as official statistics, scientific models, or expert estimations. Statistical methods for data evaluation are most often inadequate, because MFA data are typically isolated values rather t…
Information Content, Complexity, and Uncertainty in Material Flow Analysis
Material Flow Analysis (MFA) is a useful method for modeling, understanding, and optimizing sociometabolic systems. Among others, MFAs can be distinguished by two general system properties: First, they differ in their complexity, which depends on system structure and size. Second, they differ in their inherent uncertainty, which arises from limited data quality. In this article, uncertainty and complexity in MFA are approached from a systems pers…
Closing the waste gap
Austrian nitrogen budget following Unece guidance
Human activity over the past century has greatly disrupted the natural nitrogen (N) balance, harming health and the environment. Sustainable nitrogen management requires cross-sectoral governance, but studies tracking nitrogen flows across sectors are limited. This study assesses cross-sectoral sources, flows, and sinks of reactive nitrogen (Nr) in Austria, identifying direct N r inputs and emitting sectors. Using the ‘UNECE-Guidance Document on …
Engineering (13 works) · Extraction and Separation Processes (10 works) · Computer Science (9 works) · Environmental Science (9 works) · Material flow analysis (8 works) · Ecology (6 works) · Environmental Impact and Sustainability (6 works) · Mathematics (6 works) · Copper (4 works) · Data mining (4 works)