eprintid: 1980
rev_number: 1
eprint_status: archive
userid: 1
dir: disk0/00/00/19/80
datestamp: 2020-04-23 05:33:56
lastmod: 2020-04-23 05:33:56
status_changed: 2020-04-23 05:33:56
type: thesis
metadata_visibility: show
creators_name: Gorter, N.
title: Sensor Measurements: An Opportunity To Deal With Flooding’s
ispublished: pub
full_text_status: public
abstract: The goal of this study is to determine how sensor measurements can be integrated into adaptive flood risk management. This study researches how sensor measurements can link the smart city and resilient city concept. In this research adaptive flood risk management is defined by the multi-layer safety approach. The data collection was done by using in-depth interviews as method to interview several experts on the topic of sensor measurements or flood risks. The data gathered in this report suggest that sensor measurements have the possibilities to accommodate several flood risk related issues in Amsterdam and Rotterdam. Although there have to be made considerations about cost, durability and the circumstances. The future usage of sensors in adaptive flood risk management depends on finding solutions to the earlier mentioned considerations that have to be made in case of integration of sensor measurements in adaptive flood risk management.
date: 2017
date_type: published
thesis_type: bachelor
degree_programme: TP
tutors_name: Höckner, H.
keywords_local: Smart Cities
keywords_local: Decision making
keywords_local: Information
keywords_local: Measurements
keywords_local: Sensors
keywords_local: Resilience
keywords_local: Flooding
language_iso: en
titleorder: Sensor Measurements: An Opportunity To Deal With Flooding’s
dbi: 598861f028af5
imported_item: yes
date_of_import: 2020-04-22
imported_from: http://scripties.frw.eldoc.ub.rug.nl/root/ba/TP/2017/ngorter/
import_source_file: theses-frw-20200422132455-598861f028af5.xml
date_issued: 2017-01-01
citation:   Gorter, N.  (2017) Sensor Measurements: An Opportunity To Deal With Flooding’s.  Bachelor thesis.   
document_url: https://frw.studenttheses.ub.rug.nl/1980/1/Nico_Gorter_s2735008_bac_assign_7.14.pdf