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...
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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 |