Keyword search (4,163 papers available)

"wastewater" Keyword-tagged Publications:

Title Authors PubMed ID
1 Towards smart PFAS management: Integrating artificial intelligence in water and wastewater systems Yaghoobian S; An J; Jeong DW; Hwang JH; 41483514
ENCS
2 Production and characterization of magnetic Biochar derived from pyrolysis of waste areca nut husk for removal of methylene blue dye from wastewater Chistie SM; Naik SU; Rajendra P; Apeksha None; Mishra RK; Albasher G; Chinnam S; Jeppu GP; Arif Z; Hameed J; 40603323
ENCS
3 Integration of Membrane-Based Pretreatment Methods with Pressure-Retarded Osmosis for Performance Enhancement: A Review Pakdaman S; Nouri G; Mulligan CN; Nasiri F; 40077246
ENCS
4 Nitrogen and organic load removal from anaerobically digested leachate using a hybrid electro-oxidation and electro-coagulation process Choudhury MR; Rajagopal R; Meertens W; Rahaman MS; 35276557
ENCS
5 Treatment of decentralized low-Strength livestock wastewater using microcurrent-assisted multi-soil-layering systems: Performance Assessment and microbial analysis Liu C; Huang G; Song P; An C; Zhang P; Shen J; Ren S; Zhao K; Huang W; Xu Y; Zheng R; 34999101
ENCS
6 Electrochemical nutrient removal from natural wastewater sources and its impact on water quality Kékedy-Nagy L; English L; Anari Z; Abolhassani M; Pollet BG; Popp J; Greenlee LF; 34974342
CSFG
7 Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation-A Case Study for the City of Montreal Braun R; Padsala R; Malmir T; Mohammadi S; Eicker U; 34240049
ENCS
8 Exploring the decentralized treatment of sulfamethoxazole-contained poultry wastewater through vertical-flow multi-soil-layering systems in rural communities. Song P, Huang G, An C, Xin X, Zhang P, Chen X, Ren S, Xu Z, Yang X 33065414
ENCS
9 Performance analysis and life cycle greenhouse gas emission assessment of an integrated gravitational-flow wastewater treatment system for rural areas. Song P, Huang G, An C, Zhang P, Chen X, Ren S 31273662
ENCS
10 Start-up of oxygen-limited autotrophic partial nitrification-anammox process for treatment of nitrite-free wastewater in a single-stage hybrid bioreactor. Hosseinpour B, Saborimanesh N, Yerushalmi L, Walsh D, Mulligan CN 31378146
CSFG
11 Pilot-scale application of a single-stage hybrid airlift BioCAST bioreactor for treatment of ammonium from nitrite-limited wastewater by a partial nitrification/anammox process. Saborimanesh N, Walsh D, Yerushalmi L, Arriagada EC, Mulligan CN 31267396
BIOLOGY

 

Title:Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation-A Case Study for the City of Montreal
Authors:Braun RPadsala RMalmir TMohammadi SEicker U
Link:pubmed.ncbi.nlm.nih.gov/34240049/
DOI:10.3389/fdata.2021.662011
Publication:Frontiers in big data
Keywords:CityGMLFEW nexusanaerobic digestiondata modelfood wastekey performance indicatorswastewater
PMID:34240049 Category: Date Added:2021-07-09
Dept Affiliation: ENCS
1 Canada Excellence Research Chair Next Generation Cities, Gina Cody School of Engineering and Computer Science, Concordia University, Montréal, QC, Canada.
2 Herman Hollerith Center (HHZ), Faculty of Informatics, Reutlingen University, Böblingen, Germany.
3 Centre for Geodesy and Geoinformatics, University of Applied Sciences Stuttgart, Stuttgart, Germany.

Description:

The paper explains a workflow to simulate the food energy water (FEW) nexus for an urban district combining various data sources like 3D city models, particularly the City Geography Markup Language (CityGML) data model from the Open Geospatial Consortium, Open StreetMap and Census data. A long term vision is to extend the CityGML data model by developing a FEW Application Domain Extension (FEW ADE) to support future FEW simulation workflows such as the one explained in this paper. Together with the mentioned simulation workflow, this paper also identifies some necessary FEW related parameters for the future development of a FEW ADE. Furthermore, relevant key performance indicators are investigated, and the relevant datasets necessary to calculate these indicators are studied. Finally, different calculations are performed for the downtown borough Ville-Marie in the city of Montréal (Canada) for the domains of food waste (FW) and wastewater (WW) generation. For this study, a workflow is developed to calculate the energy generation from anaerobic digestion of FW and WW. In the first step, the data collection and preparation was done. Here relevant data for georeferencing, data for model set-up, and data for creating the required usage libraries, like food waste and wastewater generation per person, were collected. The next step was the data integration and calculation of the relevant parameters, and lastly, the results were visualized for analysis purposes. As a use case to support such calculations, the CityGML level of detail two model of Montréal is enriched with information such as building functions and building usages from OpenStreetMap. The calculation of the total residents based on the CityGML model as the main input for Ville-Marie results in a population of 72,606. The statistical value for 2016 was 89,170, which corresponds to a deviation of 15.3%. The energy recovery potential of FW is about 24,024 GJ/year, and that of wastewater is about 1,629 GJ/year, adding up to 25,653 GJ/year. Relating values to the calculated number of inhabitants in Ville-Marie results in 330.9 kWh/year for FW and 22.4 kWh/year for wastewater, respectively.




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