Changes
On March 22, 2023 at 4:58:13 PM +0100,
-
Added the following tags to Flood early warning system
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41 | "metadata_created": "2023-03-22T08:35:59.206005", | 41 | "metadata_created": "2023-03-22T08:35:59.206005", | ||
42 | "metadata_modified": "2023-03-22T15:53:27.548143", | 42 | "metadata_modified": "2023-03-22T15:53:27.548143", | ||
43 | "name": "flood-early-warning-system", | 43 | "name": "flood-early-warning-system", | ||
44 | "notes": "In Amersfoort, one of the key challenges for the upcoming | 44 | "notes": "In Amersfoort, one of the key challenges for the upcoming | ||
45 | decades is to redesign the city in a climate-adaptive way. Due to | 45 | decades is to redesign the city in a climate-adaptive way. Due to | ||
46 | climate change we will experience more extremes in terms of | 46 | climate change we will experience more extremes in terms of | ||
47 | temperature, drought en precipitation. By implementing measures | 47 | temperature, drought en precipitation. By implementing measures | ||
48 | against water- and heat-related-issues and by measuring whether these | 48 | against water- and heat-related-issues and by measuring whether these | ||
49 | measures work in the way they were intended, Amersfoort wants to build | 49 | measures work in the way they were intended, Amersfoort wants to build | ||
50 | on what it is today: a comfortable city to live, work, visit and | 50 | on what it is today: a comfortable city to live, work, visit and | ||
51 | recreate. \r\n\r\nWithin SCOREwater the municipality of Amersfoort | 51 | recreate. \r\n\r\nWithin SCOREwater the municipality of Amersfoort | ||
52 | will use data and technology within water management. Sensors will be | 52 | will use data and technology within water management. Sensors will be | ||
53 | deployed to gather data on temperature and on water-related | 53 | deployed to gather data on temperature and on water-related | ||
54 | indicators. The data coming from these sensors will be used in digital | 54 | indicators. The data coming from these sensors will be used in digital | ||
55 | models to assess whether the city is and remains to be | 55 | models to assess whether the city is and remains to be | ||
56 | climate-resilient. SCOREwater is one of the projects in the program | 56 | climate-resilient. SCOREwater is one of the projects in the program | ||
57 | \u2018Amersfoort Smart City\u2019, in which we use data and technology | 57 | \u2018Amersfoort Smart City\u2019, in which we use data and technology | ||
58 | to do our work more effectively and efficiently. \r\n\r\n# Focus on | 58 | to do our work more effectively and efficiently. \r\n\r\n# Focus on | ||
59 | two geographical areas\r\n\r\n* *The Amersfoort Central Railway | 59 | two geographical areas\r\n\r\n* *The Amersfoort Central Railway | ||
60 | Station* is an area that is planned to change heavily in de upcoming | 60 | Station* is an area that is planned to change heavily in de upcoming | ||
61 | years. One of the issues in this area is that predictions show high | 61 | years. One of the issues in this area is that predictions show high | ||
62 | risks of flooding and of heat stress. Furthermore, it has proven to be | 62 | risks of flooding and of heat stress. Furthermore, it has proven to be | ||
63 | difficult to store use water effectively and to use it to make the | 63 | difficult to store use water effectively and to use it to make the | ||
64 | area greener, which is necessary to make the area more climate | 64 | area greener, which is necessary to make the area more climate | ||
65 | resilient. By deploying sensors and using digital models, we intend to | 65 | resilient. By deploying sensors and using digital models, we intend to | ||
66 | gain more insight into how to effectively store, manage and use | 66 | gain more insight into how to effectively store, manage and use | ||
67 | different types of water (specifically: ground water and | 67 | different types of water (specifically: ground water and | ||
68 | precipitation) and to deal with heat in this area. This information | 68 | precipitation) and to deal with heat in this area. This information | ||
69 | will be used to assess the effectiveness of changes in the area and to | 69 | will be used to assess the effectiveness of changes in the area and to | ||
70 | include stakeholders in the development of a climate-resilient | 70 | include stakeholders in the development of a climate-resilient | ||
71 | area.\r\n\r\n* *The neighbourhood of Schothorst* is a pilot area for | 71 | area.\r\n\r\n* *The neighbourhood of Schothorst* is a pilot area for | ||
72 | testing climate adaptive measures. Currently, the area has problems | 72 | testing climate adaptive measures. Currently, the area has problems | ||
73 | with drainage causing a risk of flooding. Flooding is mostly an issue | 73 | with drainage causing a risk of flooding. Flooding is mostly an issue | ||
74 | at times of heavy rainfall, which is expected to get worse in the | 74 | at times of heavy rainfall, which is expected to get worse in the | ||
75 | future. Furthermore, extended periods of drought cause issues in the | 75 | future. Furthermore, extended periods of drought cause issues in the | ||
76 | area. More effective use of infiltration methods and methods to retain | 76 | area. More effective use of infiltration methods and methods to retain | ||
77 | water are necessary to make the area more climate resilient. By using | 77 | water are necessary to make the area more climate resilient. By using | ||
78 | sensors to measure what is happening and combining this information | 78 | sensors to measure what is happening and combining this information | ||
79 | with the development of hydrological and ground water models we will | 79 | with the development of hydrological and ground water models we will | ||
80 | gain a deeper understanding of whether the area is and will be climate | 80 | gain a deeper understanding of whether the area is and will be climate | ||
81 | resilient in the future.\r\n\r\n# Aim of this service\r\n\r\nThe aim | 81 | resilient in the future.\r\n\r\n# Aim of this service\r\n\r\nThe aim | ||
82 | of the SCOREwater Flood Early Warning System is to create | 82 | of the SCOREwater Flood Early Warning System is to create | ||
83 | opportunities for the city to take preventive measures (e.g. warn | 83 | opportunities for the city to take preventive measures (e.g. warn | ||
84 | citizens or fire brigade, design road blockades/detours) aimed at | 84 | citizens or fire brigade, design road blockades/detours) aimed at | ||
85 | reducing the negative consequences of a precipitation | 85 | reducing the negative consequences of a precipitation | ||
86 | event.\r\n\r\n<img | 86 | event.\r\n\r\n<img | ||
87 | a43-8398e7438e52/download/slim-melden-flood-early-warning-system.png\" | 87 | a43-8398e7438e52/download/slim-melden-flood-early-warning-system.png\" | ||
88 | width=\"900\" alt=\"Amersfoort flooding\" />\r\n\r\nFigure 1. *Example | 88 | width=\"900\" alt=\"Amersfoort flooding\" />\r\n\r\nFigure 1. *Example | ||
89 | of notifying citizens of potential flooding in public space via \"Slim | 89 | of notifying citizens of potential flooding in public space via \"Slim | ||
90 | Melden\" (Dutch web application)*\r\n\r\nThe service consists of a | 90 | Melden\" (Dutch web application)*\r\n\r\nThe service consists of a | ||
91 | data-driven model trained with many combinations of precipitation | 91 | data-driven model trained with many combinations of precipitation | ||
92 | (amounts and patterns) and resulting flooding (places where water | 92 | (amounts and patterns) and resulting flooding (places where water | ||
93 | remains on the street). Based on the precipitation forecasts, the | 93 | remains on the street). Based on the precipitation forecasts, the | ||
94 | data-driven model generates a forecast of possible flooding. When | 94 | data-driven model generates a forecast of possible flooding. When | ||
95 | flooding can be expected, a warning can be sent to the | 95 | flooding can be expected, a warning can be sent to the | ||
96 | customer.\r\n\r\nInteresting for municipalities, but it can also be | 96 | customer.\r\n\r\nInteresting for municipalities, but it can also be | ||
97 | useful for large utilities, landowners or other | 97 | useful for large utilities, landowners or other | ||
98 | organizations.\r\n\r\n<img | 98 | organizations.\r\n\r\n<img | ||
99 | bc444-3eb0-456d-9158-23ba82bf6b25/download/amersfoort_flooding-1.png\" | 99 | bc444-3eb0-456d-9158-23ba82bf6b25/download/amersfoort_flooding-1.png\" | ||
100 | alt=\"Amersfoort flooding\" />\r\n\r\nFigure 2. *Example of flooding | 100 | alt=\"Amersfoort flooding\" />\r\n\r\nFigure 2. *Example of flooding | ||
101 | near the Amersfoort railway station.*\r\n\r\n# Pain | 101 | near the Amersfoort railway station.*\r\n\r\n# Pain | ||
102 | relievers\r\n\r\n\u2718 Uncertainties in conversion from weather | 102 | relievers\r\n\r\n\u2718 Uncertainties in conversion from weather | ||
103 | forecast to flood forecast (based on experience)\r\n\r\n\u2718 | 103 | forecast to flood forecast (based on experience)\r\n\r\n\u2718 | ||
104 | Reactive response to flooding\r\n\r\nWith the flood warning system, | 104 | Reactive response to flooding\r\n\r\nWith the flood warning system, | ||
105 | the available precipitation forecast and the hydrological sewer models | 105 | the available precipitation forecast and the hydrological sewer models | ||
106 | are optimally used to automatically generate real-time insight into | 106 | are optimally used to automatically generate real-time insight into | ||
107 | possible floods. By sending an alert, the city can take appropriate | 107 | possible floods. By sending an alert, the city can take appropriate | ||
108 | measures such as preventive maintenance, prepare measures and/or send | 108 | measures such as preventive maintenance, prepare measures and/or send | ||
109 | warnings. Ultimately, the early warning system can reduce the damage | 109 | warnings. Ultimately, the early warning system can reduce the damage | ||
110 | and nuisance caused by flooding. We add value by combining detailed | 110 | and nuisance caused by flooding. We add value by combining detailed | ||
111 | information from a hydrodynamic model precipitation forecast into a | 111 | information from a hydrodynamic model precipitation forecast into a | ||
112 | real-time service.\r\n\r\n# Gain creators\r\n\r\n\u2714 The service | 112 | real-time service.\r\n\r\n# Gain creators\r\n\r\n\u2714 The service | ||
113 | uses model results to have more flood data than with | 113 | uses model results to have more flood data than with | ||
114 | measurements/observations.\r\n\r\n\u2714 The service includes specific | 114 | measurements/observations.\r\n\r\n\u2714 The service includes specific | ||
115 | information such as sewerage and detailed information about the city | 115 | information such as sewerage and detailed information about the city | ||
116 | in the flood forecasts\r\n\r\n\u2714 It not only provides information | 116 | in the flood forecasts\r\n\r\n\u2714 It not only provides information | ||
117 | about a worst-case situation, but is an up-to-date forecast.", | 117 | about a worst-case situation, but is an up-to-date forecast.", | ||
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