Barcelona
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Available DatasetsShowing 8 of 8 results
- Population of the city of Barcelona according to the reading of the living register which may not correspond to the actual registration on the date indicated given that there are administrative procedures that are incorporated late. The population according to the official reading of the consolidated register corresponds to January 1 of each year. See [Register of inhabitants. Population of the city of Barcelona according to sex and year of registration in the Register](https://opendata-ajuntament.barcelona.cat/data/ca/dataset/est-padro-alta-padro-sexe). **Note: On 2020-09-14 this dataset is published again after being deactivated on 2020-07-8 in order to make a review which has also led to a change of title (previously it was "Data demographics of the census sections of the city of Barcelona"), which fits more precisely to the data it contains.** From the month of December'20, the **DATE_DADES** column is incorporated and monthly history is generated with a lag of 2 months, compared to the current month.1Licence not specifiedover 1 year ago
- Taking many waste water samples in the sewer and also collecting data. This would make it possible to create a data library where all this data is stored and ready for use by other entities who may find this data useful for their own research and for the benefit of science. ✘ Lack of data available in open source ✘ Lack of socio-economic criteria ✘ Lack of sewer network works and monitoring Non-target analysis or DNA sequencing would provide additional information for those already processing within the SCOREwater services. ✔ Use of open data to improve research quality and accelerate research results ✔ Improving public health ✔ A more informed society about environmental and health issues ✔ Lower costs for sewer maintenance1Licence not specifiedover 1 year ago
- Paying attention to the ethical and confidentiality issues, gaining and learning about lifestyle habits is through wastewater monitoring. Good information can be obtained by consciously choosing a reflection of the population spread over different neighbourhoods. The presence or absence of medicines, oils and fats, soft drugs, wipes, etc. give an idea of the living habits in the various neighbourhoods. ✘ Socio-spatial inequality ✘ Functioning of the sewage system ✘ Supervision of the sewage system ✘ Uncertainties in the understanding of the relationship between social/environmental/health The implementation of such a monitoring network could help administrations and health centers to have more knowledge about the lifestyle of the population, so that healthier habits and more environmentally friendly behaviors can be promoted. In this approach, workshops at schools or community centers can be promoted as a means to promote more environmentally friendly manners. ✔ Reduction of socio-spatial inequalities ✔ Improving public health ✔ A more informed society about environmental and health issues ✔ Communication campaigns ✔ Support in the allocation of public funds1Licence not specifiedover 1 year ago
- Within the frame of the SCOREwater project, BCASA and s::can installed water quality sensors in three neighbourhoods with different socio-economic characteristics (Poblenou, Sant Gervasi and Carmel) in the City Of Barcelona. To prevent vandalism, the exact location of the sensors cannot be disclosed. The sensors are monitoring physico chemical parameters in the sewer network. These data can be used for multiple purposes, both related to predictive maintenance of the sewer network and life style analysis of inhabitants of Barcelona: * a better operation and maintenance of the sewer network * minimizing odour episodes and corrosion from H2S * try to prevent blocking from sediments * detect spills into the sewer system from a construction site or illegal discharge * learn population habits from analyzing the waste water from the three different neighbourhoods * to learn about how the inhabitants use pharmaceuticals or other compounds (perhaps abusing of it). Some of the data is analyzed online and uploaded to the SCOREwater platform in real time. Some data have to be analyzed in the laboratory. The sensors are installed in what is called "the triangle". A pump fills the triangle with water from the sewer every now and then after which the sensors do their measurements. Using a s::can con::cube the data is uploaded to the SCOREwater platform. The con::cube uploads two types of data files to the SCOREwater platform: so called parameter files with data which have been converted to actual water quality information and the fingerprint files which contain the raw data used to create the parameter files. Both are stored, but only the parameter files are available online via API's. If needed, access to the fingerprint data can be provided (for instance to be able to explain strange phenomena detected in the parameter files). The s::can sensors have been installed in three neighborhoods in Barcelona. They upload data to the SCOREwater platform about water quality. This data is harmonized to the FIWARE data model “WaterQualityObserved”. The s::can sensors measure a lot of parameters, including flow and chemical oxygen demand (COD), which were not part of the WaterQualityObserved data model when this sensor was onboarded on the platform. COD has been added to the data model since then, and Civity and s::can raised an issue in the Smart Data Model Github repository proposing to add flow to the data model. This proposal has been approved.1Licence not specifiedover 1 year ago
- Within the frame of the SCOREwater project, BCASA and s::can installed water quality sensors in three neighbourhoods with different socio-economic characteristics (Poblenou, Sant Gervasi and Carmel) in the City Of Barcelona. To prevent vandalism, the exact location of the sensors cannot be disclosed. The sensors are monitoring physico chemical parameters in the sewer network. These data can be used for multiple purposes, both related to predictive maintenance of the sewer network and life style analysis of inhabitants of Barcelona: * a better operation and maintenance of the sewer network * minimizing odour episodes and corrosion from H2S * try to prevent blocking from sediments * detect spills into the sewer system from a construction site or illegal discharge * learn population habits from analyzing the waste water from the three different neighbourhoods * to learn about how the inhabitants use pharmaceuticals or other compounds (perhaps abusing of it). Some of the data is analyzed online and uploaded to the SCOREwater platform in real time. Some data have to be analyzed in the laboratory. The sensors are installed in what is called "the triangle". A pump fills the triangle with water from the sewer every now and then after which the sensors do their measurements. Using a s::can con::cube the data is uploaded to the SCOREwater platform. The con::cube uploads two types of data files to the SCOREwater platform: so called parameter files with data which have been converted to actual water quality information and the fingerprint files which contain the raw data used to create the parameter files. Both are stored, but only the parameter files are available online via API's. If needed, access to the fingerprint data can be provided (for instance to be able to explain strange phenomena detected in the parameter files).1Licence not specifiedover 1 year ago
- Barcelona Cicle de l’Aigua, SA (BCASA) is the company created by the city council to manage the entire water cycle in Barcelona and to provide activities directly or indirectly related to this cycle, the beaches, the coastline and the environment. Barcelona is part of the 100 Resilient Cities project and is currently shaping its strategy to enhance resilience through the Climate Plan of Barcelona. SCOREwater contributes to the enhancement of resilience by collecting new data which allows faster and better-informed decisions. The Barcelona case within SCOREwater will bring together technology and imagination to allow new means of decision making in cities.1Licence not specifiedover 1 year ago
- over 1 year ago
- Operating and maintaining the sewage system over many years creates several challenges: inspections and maintenance of the network, corrective actions, odors, problems and presence of improper waste disposal (wet wipes and other hygiene waste, oils, greases, etc.) influence sewer maintenance even in a very demanding way. The implementation of sensors in the network will help to move from a corrective and experienced based on predictive maintenance to an ideally 100% preventive maintenance with condition based maintenance strategy that monitors the actual condition of an asset to decide what maintenance needs to be done at the exact location to happen. There are currently periodic inspections to know the state of maintenance and thus the functioning of the infrastructure. The use of water flow meters, water quality sensors, autosamplers in combination with remote connection, real-time information and analysis will set a precedent for further migration to smart control and digitization of operations. This service reduces a number of pains and creates several gains. # Pain relievers ✘ Access to sewers for cleaning ✘ High investments in corrective maintenance ✘ Tricky data processing and data mining ✘ Lack of tools to engage schools, children and families in reducing waste # Gain creators ✔ Qualified decision ✔ Better resource allocation ✔ Reducing costs ✔ Re-educate the citizens ✔ Improve knowledge about sewer system, optimize sources ✔ Lower costs for sewer maintenance1Licence not specifiedover 1 year ago
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