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- # Aim To develop and implement a generic concept for minimizing negative impact of constructing projects on quality of urban wastewater. To test the concept based on monitoring with commercially available and newly developed water quality sensors and data interpretation techniques, implemented at the West Link construction project in Göteborg, Sweden. To raise public awareness of urban surface water quality and promote water-friendly behaviour thus fostering a water-responsible society. # Approach To monitor stormwater pollution levels for West Link construction site by connecting water quality sensors to the SCOREwater platform and to analyse and interpret the data using artificial intelligence. To assist optimizing of the on-site water treatment stations, which is employing “blue-green” technology using a crab shell waste by-product called Chitosan, with the newly gathered monitoring data. To identify problematic geographical areas, periods of time and risk factors by extending the water quality monitoring using sensors up- and downstream the construction sites and in recipients. Apart from monitoring the water quality, monitor also stormwater volumes and sewer overflows with cost effective wireless sensors for mass deployment in compliance with the Wastewater directive. # Outcomes A water monitoring and management system for assisting and ensuring legal compliance of the waste water quality (Weser judgment, Wastewater directive) during construction projects. Mapbased web and app interfaces to provide the public, businesses and local government with an interactive information platform for construction site water quality and quantity. Science park activities to raise public awareness about the water cycle in general and waste water from construction sites in particular, to promote water friendly behaviour. # Innovation beyond the case Provide new tools to the digital market for monitoring compliance with the Water Framework Directive, Weser judgment and Urban Waste Water Treatment Directive. At large construction sites, construction companies must submit self-monitoring reports. The solution performs these measurements automatically and in real time and provides an efficient data processing system. # Pain relievers ✘ few readings received, due to the high cost of manual readings ✘ many different status report formats ✘ few measurements and no overview of pollution on smaller construction sites ✘ court has final decision on control programs for large construction sites ✘ High cost of sensors and calibration ✘ still has a high environmental impact The value proposition is in offering an automated self-reporting system of water quality parameters for the construction companies, who are obliged to report this themselves to the government. In reality, the construction companies often outsource this work to a processor or environmental consultant, who would be the actual customer of the solution. # Gain creators ✔ better overview of the water quality of the receivers ✔ Water pollution early warning system ✔ standardized reporting database of 1) actors (e.g. construction sites), 2) circuit and water, 3) receivers ✔ would like more water quality measurements1Licence not specifiedover 1 year ago
- One of the objectives of the SCOREwater project is to develop digital services, games and experiences to increase awareness of and involvement in water-related issues. Universeum's role is to provide tools for transformative learning for citizens and local community engagement. Universum has developed three activities aimed at the wider public in Gothenburg in the context of the projects. One of the activities is a digital exhibition called Waterworld. ✘ High water consumption is bad for the environment and leads to high costs for the consumer ✘ Clogged drains in kitchens and bathrooms have a negative impact on the water cycle ✘ Climate fear - a large number of people are willing to help and want to make a change but do not know how due to lack of information and education in the area ✘ Difficulty finding enjoyable learning that can be done in a group and available online at the same time The value proposition is in offering a digital exhibition within the platform of a science center. The educational platform is a good method to achieve this collective learning through interactive experiences. Because the product was developed during the pandemic, digital experiences are the most effective way to create collective learning. A digital product can also increase the reach of the product (i.e. reach more people than just visitors to the science center). A city's water is influenced by its inhabitants and their homes, so the choice of target audience is simple: families with children aged 7-10 because children with insights often have a positive influence on their parents, and at the same time, parents want the their children's digital activity is useful. The digital experience takes place in the home environment and can last as long as families need and want. The following User story was used in the development of Waterworld: As a family we want to have fun together and at the same time gain insights and knowledge about water. ✔ Understanding and education about what influences our water consumption ✔ Knowledge about what influences the water in a city, which in turn can change user behavior and have positive effects on the environment ✔ Examples of how the individual could contribute to a better water cycle and water quality ✔ Joyful learning through digital games that create interactivity within the family1Licence not specifiedover 1 year ago
- Precipitation data from SMHI weather station close to the Westlink construction site. # About SMHI SMHI, the Swedish Meteorological and Hydrological Institute, is an expert agency under the Ministry of the Environment. Through unique expertise in meteorology, hydrology, oceanography and climatology, SMHI contributes towards greater public welfare, increased safety and a sustainable society. SMHI's observation stations collect large quantities of data, including temperature, precipitation, wind, air pressure, lightning, solar radiation and ozone. Satellites and radar installations are also important sources. Data is presented continuously on [smhi.se](https://www.smhi.se/) and used in SMHI's various weather services.1Licence not specifiedover 1 year ago
- By monitoring in the rainwater system (turbidity, pH, conductivity, temperature, water level, inspection camera) the maintenance of the system can be optimized in real time. ✘ Construction sites clog the system, resulting in higher maintenance costs ✘ General sedimentation in networks, resulting in maintenance costs ✘ Combined ownership for the network ✘ Clogging of the system, resulting in higher maintenance costs ✘ Little knowledge of what is being discharged into the water receiver and by whom ✘ No cost efficient way to measure what goes into the water receiver ✘ No power to make demands on polluters The value proposition is in providing data that can help water cycle authorities optimize the maintenance of their stormwater systems and create a holistic view of the water cycle. It will also map upstream polluters, preventing polluted water from reaching the system, placing the responsibility on the polluter. ✔ No flooding ✔ Identify who is polluting the water ✔ By knowing the quality of the incoming water in the stormwater system, it would be easier to control the emissions to receivers ✔ Want to know the water quality of construction sites ✔ Monitoring the build-up of sedimentation to prevent clogging and flooding ✔ Mapping of blockages to optimize maintenance ✔ More measuring points to identify polluters1Licence not specifiedover 1 year ago
- By monitoring the water quality parameters (turbidity, pH, conductivity and temperature) in real time on construction sites, an alarm can be given if the water treatment system is overloaded. This prevents overloading of the system, which otherwise leads to expensive damage to the water treatment equipment (expensive filters break down). This is used by the processors who work for construction companies on construction sites. This service reduces a number of pains. # Pain relievers ✘ Cleaning sensors ✘ Cost of sensors ✘ Maintenance / emptying of settling tank ✘ Lack of information (flow) on when to replace treatment socks ✘ Damage to cleaning equipment (carbon filters - used with high levels of contaminants) due to treatment failure The value proposition is in offering a warning system that sends an alarm when water treatment on construction sites is overloaded. Overloading the water treatment system can lead to very costly damage, as it leads to costly damage to the filters in the system. In turn, this service will create several gains. # Gain creators ✔ Preventive signaling on maintenance to prevent overload ✔ Cost-reducing to prevent early replacement parts system1Licence not specifiedover 1 year ago
- Water quality data from Turbinator sensors. Sensors to monitor water quality are operating in harsh environments since they are in frequent contact with water. The Turbinator turbidity and water level sensor developed by IVL works around this issue by using a laser beam and a camera to measure turbidity and water level without being in contact with water. It can be used for early warning of pollutants or for predictive maintenance of a city's pipeline network for waste- and stormwater. The Turbinator is easy to install or de-install for example when the battery needs to be changed or the sensor is moved to a new location. No drilling is required. The installation and un-installation can be done without entering the drain, thus avoiding otherwise necessary safety measures. The sensors measure distance from the sensor to the water and turbidity. The dataset contains the following columns: * id: identifier of the Turbinator; * dateobserved: timestamp of the measurement in UTC; * location: Well Known Text representation of the GPS location of the Turbinator; * turbidity: turbidity in NTU * distance: distance between the sensor (top of the well) and the water in meters.1Licence not specifiedover 1 year ago
- Water quality data from Swedish Hydro Solutions sensor1Licence not specifiedover 1 year ago
- By monitoring the water quality parameters (turbidity, pH, conductivity and temperature) in real time on construction sites, an alarm can be given if the water treatment fails. This will prevent pollution events that are bad for the environment and could lead to the halting of construction work. This will be used by the treatment plant suppliers or environmental consultants working for construction and for companies on construction sites. ✘ Long lead time to set control programs ✘ Frequently challenged claims in court ✘ Too many false alarms from current systems ✘ Incoming water is sometimes already polluted ✘ Logistics of laboratory sampling and time delay The value proposition is in offering a warning system that sends an alarm to water treatment on construction sites if it starts to fail. Water treatment failures can lead to fines, closure of the construction site by regulators and increased treatment costs if not detected early. Moreover, it naturally results in real water pollution. ✔ Pollution monitoring both upstream and downstream to really understand where the pollution is coming from ✔ Real-time information to identify pollution but also to measure faster1Licence not specifiedover 1 year ago
- Precipitation data from Vatten i Göteborg1Licence not specifiedover 1 year ago
- Sensors to monitor water quality are operating in harsh environments since they are in frequent contact with water. The Turbinator turbidity and water level sensor developed by IVL works around this issue by using a laser beam and a camera to measure turbidity and water level without being in contact with water. It can be used for early warning of pollutants or for predictive maintenance of a city's pipeline network for waste- and stormwater. The Turbinator is easy to install or de-install for example when the battery needs to be changed or the sensor is moved to a new location. No drilling is required. The installation and un-installation can be done without entering the drain, thus avoiding otherwise necessary safety measures. # How it works The sensor sends a laser beam into the water, takes a photo of where the light hits the surface and uses an AI algorithm to calculate the turbidity based on the photo. To develop the algorithm, IVL has gathered thousands of images together with reference measurements. The images are used in the training process of the algorithm. By processing the information on both sensor and system level with AI, an estimate of the load or deviations in the network over time creates insights needed for predictive maintenance of the system.1Licence not specifiedover 1 year ago
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