Measuring the economic benefits of advanced technology use for river flood forecasting

Abstract As part of the Hudson Bay drainage system in North America, the Red River of the North Basin (RRB) has been subject to Spring River flooding in the past century. Previously, forecast errors had led to inadequate flood preparations that resulted in tremendous losses and overspending of taxpa...

Full description

Bibliographic Details
Published in:Journal of Flood Risk Management
Main Authors: Siew Hoon Lim, Yue Ge, Jennifer M. Jacobs, Xinhua Jia
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2022
Subjects:
Online Access:https://doi.org/10.1111/jfr3.12781
https://doaj.org/article/71235e69eee44663a7ec9357c2d97e83
id ftdoajarticles:oai:doaj.org/article:71235e69eee44663a7ec9357c2d97e83
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:71235e69eee44663a7ec9357c2d97e83 2023-05-15T16:35:28+02:00 Measuring the economic benefits of advanced technology use for river flood forecasting Siew Hoon Lim Yue Ge Jennifer M. Jacobs Xinhua Jia 2022-06-01T00:00:00Z https://doi.org/10.1111/jfr3.12781 https://doaj.org/article/71235e69eee44663a7ec9357c2d97e83 EN eng Wiley https://doi.org/10.1111/jfr3.12781 https://doaj.org/toc/1753-318X 1753-318X doi:10.1111/jfr3.12781 https://doaj.org/article/71235e69eee44663a7ec9357c2d97e83 Journal of Flood Risk Management, Vol 15, Iss 2, Pp n/a-n/a (2022) contingent valuation remote sensing technology river flood forecast willingness to pay River protective works. Regulation. Flood control TC530-537 Disasters and engineering TA495 article 2022 ftdoajarticles https://doi.org/10.1111/jfr3.12781 2022-12-31T03:28:11Z Abstract As part of the Hudson Bay drainage system in North America, the Red River of the North Basin (RRB) has been subject to Spring River flooding in the past century. Previously, forecast errors had led to inadequate flood preparations that resulted in tremendous losses and overspending of taxpayer's dollars in flood response. National Aeronautics and Space Administration’s satellite microwave remote sensing technology offers improved snow water equivalent measurement information needed for spring flood forecasting in this region. This study evaluates the economic benefits of the technology use to the farm sector in the RRB. We found that farm support for the technology use for river flood forecast is overwhelming, and higher farm support yields higher willingness to pay for the product use. However, respondents who are content with the existing spring flood forecasts tend to have a lower valuation of the new product. Tellingly, landowners who lease to farm operators have noticeably zero perceived economic valuation of the product even though river flooding on their land could depress future land value. Article in Journal/Newspaper Hudson Bay Directory of Open Access Journals: DOAJ Articles Hudson Bay Hudson Spring River ENVELOPE(-138.627,-138.627,69.281,69.281) Journal of Flood Risk Management 15 2
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic contingent valuation
remote sensing technology
river flood forecast
willingness to pay
River protective works. Regulation. Flood control
TC530-537
Disasters and engineering
TA495
spellingShingle contingent valuation
remote sensing technology
river flood forecast
willingness to pay
River protective works. Regulation. Flood control
TC530-537
Disasters and engineering
TA495
Siew Hoon Lim
Yue Ge
Jennifer M. Jacobs
Xinhua Jia
Measuring the economic benefits of advanced technology use for river flood forecasting
topic_facet contingent valuation
remote sensing technology
river flood forecast
willingness to pay
River protective works. Regulation. Flood control
TC530-537
Disasters and engineering
TA495
description Abstract As part of the Hudson Bay drainage system in North America, the Red River of the North Basin (RRB) has been subject to Spring River flooding in the past century. Previously, forecast errors had led to inadequate flood preparations that resulted in tremendous losses and overspending of taxpayer's dollars in flood response. National Aeronautics and Space Administration’s satellite microwave remote sensing technology offers improved snow water equivalent measurement information needed for spring flood forecasting in this region. This study evaluates the economic benefits of the technology use to the farm sector in the RRB. We found that farm support for the technology use for river flood forecast is overwhelming, and higher farm support yields higher willingness to pay for the product use. However, respondents who are content with the existing spring flood forecasts tend to have a lower valuation of the new product. Tellingly, landowners who lease to farm operators have noticeably zero perceived economic valuation of the product even though river flooding on their land could depress future land value.
format Article in Journal/Newspaper
author Siew Hoon Lim
Yue Ge
Jennifer M. Jacobs
Xinhua Jia
author_facet Siew Hoon Lim
Yue Ge
Jennifer M. Jacobs
Xinhua Jia
author_sort Siew Hoon Lim
title Measuring the economic benefits of advanced technology use for river flood forecasting
title_short Measuring the economic benefits of advanced technology use for river flood forecasting
title_full Measuring the economic benefits of advanced technology use for river flood forecasting
title_fullStr Measuring the economic benefits of advanced technology use for river flood forecasting
title_full_unstemmed Measuring the economic benefits of advanced technology use for river flood forecasting
title_sort measuring the economic benefits of advanced technology use for river flood forecasting
publisher Wiley
publishDate 2022
url https://doi.org/10.1111/jfr3.12781
https://doaj.org/article/71235e69eee44663a7ec9357c2d97e83
long_lat ENVELOPE(-138.627,-138.627,69.281,69.281)
geographic Hudson Bay
Hudson
Spring River
geographic_facet Hudson Bay
Hudson
Spring River
genre Hudson Bay
genre_facet Hudson Bay
op_source Journal of Flood Risk Management, Vol 15, Iss 2, Pp n/a-n/a (2022)
op_relation https://doi.org/10.1111/jfr3.12781
https://doaj.org/toc/1753-318X
1753-318X
doi:10.1111/jfr3.12781
https://doaj.org/article/71235e69eee44663a7ec9357c2d97e83
op_doi https://doi.org/10.1111/jfr3.12781
container_title Journal of Flood Risk Management
container_volume 15
container_issue 2
_version_ 1766025689613467648