Estimation of Wastewater Discharges by Means of OpenStreetMap Data

Schilling, Jannik; Tränckner, Jens

doi:10.3390/w12030628

Cited by 13 publications

(8 citation statements)

References 34 publications

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“…By presenting a standardized protocol for mapping urban drainage in data-scarce regions, this study allows future researchers to employ simple approaches to bridge the knowledge gap of current drainage infrastructure in developing communities. Having utilized OSM, the methodology we adopted is easily replicated in other similar developing community contexts where data scarcity hampers urban flood management [34]. Adopting a participatory action approach also adds to local capacity in flood management, leveraging the use of GIS tools to facilitate community ownership and voice.…”

Section: Discussionmentioning

confidence: 99%

“…There is also a need to look more closely at the open data that already exist and their potential role in design. For example, Schilling and Tränckner [34] developed a method of estimating wastewater volumes with high spatial resolution based on OSM building data. Studies such as these are needed to understand the usability of volunteered geospatial infrastructure data in the design and assessment of stormwater and wastewater systems.…”

Section: Future Researchmentioning

confidence: 99%

See 1 more Smart Citation

An Open Data Approach to Mapping Urban Drainage Infrastructure in Developing Communities

See

Calo

Bannon

et al. 2020

Water

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Urban flooding in developing countries represents a growing threat to sustainable development efforts, yet the tools needed to study these infrastructure systems in data-scarce environments are woefully inadequate. This study seeks to propose a standardized approach and methods for mapping urban drainage systems in developing communities. The research draws on a case study from the Philippines, which sought to conduct rapid elevation surveys and drainage assessments employing open source geographical information system (GIS) tools. We develop a standardized procedure for digitizing drainage systems using OpenStreetMap and Field Papers, as well as discuss applications of this data for drainage design. The results contribute to a methodological framework that can be replicated in other similar developing communities where study of urban drainage is needed for sustainable development and disaster risk reduction efforts.

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Section: Discussionmentioning

confidence: 99%

Section: Future Researchmentioning

confidence: 99%

An Open Data Approach to Mapping Urban Drainage Infrastructure in Developing Communities

See

Calo

Bannon

et al. 2020

Water

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show abstract

“…As an alternative, water consumption as measured by a public utilities meter in the building was used to estimate wastewater flow. Given that the water supplied to the student residence is used entirely within the building, the resulting wastewater flow discharged into the sewer system is expected to be very similar (Schilling and Tränckner, 2020). Water consumption was normalized to the number of students resident in the wing of the residence hall that was monitored and adjusted to better estimate percent water use during the normal time of deployment of passive samplers.…”

Section: Estimating Fecal Shedding Ratesmentioning

confidence: 99%

Averting an outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in a university residence hall through wastewater surveillance

Corchis-Scott

Geng

Seth

et al. 2021

Preprint

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A wastewater surveillance program targeting a university residence hall was implemented during the spring semester 2021 as a proactive measure to avoid an outbreak of COVID-19 on campus. Over a period of 7 weeks from early February through late March 2021, wastewater originating from the residence hall was collected as grab samples 3 times per week. During this time, there was no detection of SARS-CoV-2 by RT-qPCR in the residence hall wastewater stream. Aiming to obtain a sample more representative of the residence hall community, a decision was made to use passive samplers beginning in late March onwards. Adopting a Moore Swab approach, SARS-CoV-2 was detected in wastewater samples on just two days after passive samplers were activated. These samples were also positive for the B.1.1.7 (Alpha) Variant of Concern (VOC) by RT-qPCR. The positive result triggered a public health case finding response including a mobile testing unit deployed to the residence hall the following day with testing of nearly 200 students and staff, which identified two laboratory-confirmed cases of B.1.1.7 variant COVID-19. These individuals were re-located to a separate quarantine facility averting an outbreak on campus. Aggregating wastewater and clinical data, the campus wastewater surveillance program has yielded the first estimates of fecal shedding rates of the B.1.1.7 VOC of SARS-CoV-2 in individuals from a non-clinical setting.

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“… Schilling and Tränckner (2020) calculated the wastewater discharges at a high spatial resolution based on OpenStreetMap (OSM) data, combined with a dataset of the German official topographic–cartographic Information System (ATKIS), to estimate the volume of wastewater on a building level. Comparing the calculated daily values with inflow at pumping stations and sewage treatment plants for dry weather conditions showed that the method could generate realistic results.…”

Section: Case Study City Of Montréal—borough Ville-mariementioning

confidence: 99%

“…Comparing the calculated daily values with inflow at pumping stations and sewage treatment plants for dry weather conditions showed that the method could generate realistic results. In this study, the equations from ( Schilling and Tränckner 2020 ) were adapted so the CityGML files could be used as the main input for the calculations. The amount of discharged wastewater Q ww,res for a residential building per year can be calculated with the following formula:

where q ww,res is the discharge rates for a residential building in liter per person and year, P res the number of people living in the building.…”

Section: Case Study City Of Montréal—borough Ville-mariementioning

confidence: 99%

Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation—A Case Study for the City of Montréal

et al. 2021

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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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Estimation of Wastewater Discharges by Means of OpenStreetMap Data

Cited by 13 publications

References 34 publications

An Open Data Approach to Mapping Urban Drainage Infrastructure in Developing Communities

An Open Data Approach to Mapping Urban Drainage Infrastructure in Developing Communities

Averting an outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in a university residence hall through wastewater surveillance

Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation—A Case Study for the City of Montréal

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