Urban Water Demand Simulation in Residential and Non-Residential Buildings Based on a CityGML Data Model
Bibliographic Data
| ID | 22033200 |
|---|---|
| Authors | Keyu Bao (0000-0002-6421-2921, Stuttgart Technical University of Applied Sciences, corresponding author), Rushikesh Padsala (0000-0003-2866-8443, Stuttgart Technical University of Applied Sciences), Daniela Thrän (0000-0002-6573-6401, Helmholtz Centre for Environmental Research), Bastian Schröter (0000-0002-7915-1471, Stuttgart Technical University of Applied Sciences) |
| Year | 2020 |
| Volume | 9 |
| Issue | 11 |
| Pages | 642 |
| Publication date | 2020-10-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi9110642 |
| OpenAlex | W3095817881 |
| Language | EN |
| Citations received | 4 |
| References cited | 30 |
Humans’ activities in urban areas put a strain on local water resources. This paper introduces a method to accurately simulate the stress urban water demand in Germany puts on local resources on a single-building level, and scalable to regional levels without loss of detail. The method integrates building geometry, building physics, census, socio-economy and meteorological information to provide a general approach to assessing water demands that also overcome obstacles on data aggregation and processing imposed by data privacy guidelines. Three German counties were used as validation cases to prove the feasibility of the presented approach: on average, per capita water demand and aggregated water demand deviates by less than 7% from real demand data. Scenarios applied to a case region Ludwigsburg in Germany, which takes the increment of water price, aging of the population and the climate change into account, show that the residential water demand has the change of −2%, +7% and −0.4% respectively. The industrial water demand increases by 46% due to the development of economy indicated by GDP per capita. The rise of precipitation and temperature raise the water demand in non-residential buildings (excluding industry) of 1
CityGML · Civil engineering · Climate change · Demand forecasting · Economics · Environmental economics · Geography · Meteorology · Microeconomics · Natural resource economics · Operations research · Per capita · Population · Precipitation · Supply and demand · Water resources · 3D Modeling in Geospatial Applications · Computer Science · Engineering · Environmental Science · Hydrology and Watershed Management Studies · Water resources management and optimization
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Assessing the prospective environmental impacts and circularity potentials of building stocks
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Estimation of residential water demand
Future long-term changes in global water resources driven by socio-economic and climatic changes
Global threats to human water security and river biodiversity
Determinants of residential water demand in Germany
Long-term water demand for electricity, industry and households
| Unique citing works | 4 |
|---|---|
| Citations per year | 0.8 |
| Citation span | 2021 - 2024 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |