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Abgeschlossene F-Projekte

F06 Smart Resilience Hai Phong

Betreuung
Prof. Dr. Nguyen Xuan Thinh
Mathias Schaefer, MSc
Michaela Lödige, MSc

Laufzeit
10.2019 – 07.2020

Beschreibung

With the largest port in North Vietnam, the coastal city of Hai Phong plays a major role for the regional and national economy. Around 2 million inhabitants are frequently exposed to storms and typhoons, accompanied by heavy rainfalls. In the event of a typhoon, ships have to return to shore and thousands of people have to be evacuated due to breaches of sea dykes and flooded roads.

Due to its geographic localization in a typhoon corridor, Hai Phong has to cope with such a security scenario at least once a year. For instance, typhoon „Damrey“ striked the city on 27th of September 2005 with a wind speed of up to 150 km/h and caused serious damages to sea dykes, while 50 people died and about 300.000 people were evacuated from the coastal region, making it the largest evacuation operation so far.

In current debates on climate change and extreme weather events, politicians and scientists frequently use the term “resilience” in the context of spatial planning and extreme weather events. In general, resilience describes the ability of a system (e.g. a city) to adapt both reactively and proactively to changing environmental conditions and to recover quickly from the negative consequences of external shocks like extreme weather events. However, in Hai Phong such events often cause total breakdown to critical infrastructures like ports, major transport axes as well as power and communication networks. Therefore, Hai Phong urgently needs an intelligent adaptation concept which accounts for the topic of climate resilience in detail.

The overall research aim of the project is to find out, which infrastructures or areas in Hai Phong are particularly prone to natural hazards. By defining measurable indicators that can be applied to a city and its subsystems (e.g. environment, economy, infrastructure, society) the specific resilience capacity can be evaluated with appropriate scientific methods like Multi Criteria Decision Analysis (MCDA). By calculating and combining a priori defined indicators in a Geographic Information System (GIS), the resilience capacity of critical infrastructures to extreme weather events in Hai Phong will be quantitatively assessed and visualized through maps and figures. For this purpose, the F-Project “Smart Resilience Hai Phong” mainly refers to existing and freely available data, primarily digital satellite images and 3D Digital Elevation Models (DEM). The GIS- and remote sensing based detection of possible vulnerabilities can be used to identify hot- and coldspots for new and innovative improvements like detailed adaptation strategies or early warning recommendations. Another fundamental part of the project is the Smart-City concept, which will be brought in line with the current urban planning policy of strengthening the development of Smart Cities in Vietnam as well as the resilience concept. In this context, digital story maps by ESRI (Environmental Systems Research Institute) are providing a contemporary and internationally comprehensible means of online communication to make newly gained knowledge and data available to the general public.

In order to perform an accuracy assessment of the prior digital satellite image analysis as well as to gain important local experience of the study area, an excursion and field work in Vietnam is a mandatory part of the F-Project. The practical handling of the Leica Zeno 20 GPS/GNSS handheld computer for high-precision measurement of point geodata for accuracy assessment will be intensively trained for field research in Hai Phong. Interviews with local stakeholders should provide further information and feedback for essential indicators. The excursion will extend over 10 days and take place in March 2020 in close cooperation with Vietnamese students and professors of the Haiphong University.

Students who participated in the project, gained new important skills in the following fields:

  • GIS-based multi-criteria-decision-analysis
  • Knowledge about the terms resilience and smart city
  • Digital Satellite-based remote sensing techniques
  • Planning and implementation of field researches
  • Digital storytelling and data management

Kalender

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Anfahrt & Lageplan

Der Campus der Technischen Universität Dortmund liegt in der Nähe des Autobahnkreuzes Dortmund West, wo die Sauerlandlinie A45 den Ruhrschnellweg B1/A40 kreuzt. Die Abfahrt Dortmund-Eichlinghofen auf der A45 führt zum Campus Süd, die Abfahrt Dortmund-Dorstfeld auf der A40 zum Campus-Nord. An beiden Ausfahrten ist die Universität ausgeschildert.

Direkt auf dem Campus Nord befindet sich die S-Bahn-Station „Dortmund Universität“. Von dort fährt die S-Bahn-Linie S1 im 15- oder 30-Minuten-Takt zum Hauptbahnhof Dortmund und in der Gegenrichtung zum Hauptbahnhof Düsseldorf über Bochum, Essen und Duisburg. Außerdem ist die Universität mit den Buslinien 445, 447 und 462 zu erreichen. Eine Fahrplanauskunft findet sich auf der Homepage des Verkehrsverbundes Rhein-Ruhr, außerdem bieten die DSW21 einen interaktiven Liniennetzplan an.
 

Zu den Wahrzeichen der TU Dortmund gehört die H-Bahn. Linie 1 verkehrt im 10-Minuten-Takt zwischen Dortmund Eichlinghofen und dem Technologiezentrum über Campus Süd und Dortmund Universität S, Linie 2 pendelt im 5-Minuten-Takt zwischen Campus Nord und Campus Süd. Diese Strecke legt sie in zwei Minuten zurück.

Vom Flughafen Dortmund aus gelangt man mit dem AirportExpress innerhalb von gut 20 Minuten zum Dortmunder Hauptbahnhof und von dort mit der S-Bahn zur Universität. Ein größeres Angebot an internationalen Flugverbindungen bietet der etwa 60 Kilometer entfernte Flughafen Düsseldorf, der direkt mit der S-Bahn vom Bahnhof der Universität zu erreichen ist.

Interaktive Karte

Die Einrichtungen der Technischen Universität Dortmund verteilen sich auf den größeren Campus Nord und den kleineren Campus Süd. Zudem befinden sich einige Bereiche der Hochschule im angrenzenden Technologiepark.

Campus Lageplan Zum Lageplan