Measuring the economic benefits of advanced technology use for river flood forecasting
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'...
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Published in | Journal of flood risk management Vol. 15; no. 2 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.06.2022
John Wiley & Sons, Inc Wiley |
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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. |
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AbstractList | 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. 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. |
Author | Ge, Yue Jacobs, Jennifer M. Jia, Xinhua Lim, Siew Hoon |
Author_xml | – sequence: 1 givenname: Siew Hoon orcidid: 0000-0001-8926-5352 surname: Lim fullname: Lim, Siew Hoon email: siew.lim@ndsu.edu organization: North Dakota State University – sequence: 2 givenname: Yue orcidid: 0000-0002-5899-8307 surname: Ge fullname: Ge, Yue organization: School of Public Administration, University of Central Florida – sequence: 3 givenname: Jennifer M. surname: Jacobs fullname: Jacobs, Jennifer M. organization: University of New Hampshire – sequence: 4 givenname: Xinhua surname: Jia fullname: Jia, Xinhua organization: North Dakota State University |
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SubjectTerms | Aeronautics Agricultural production basins contingent valuation Drainage systems Economic benefits Economic forecasting economic valuation Economics Emergency preparedness Farms Flood forecasting Flooding Floods Forecast errors Hudson Bay land values Landowners Leases Moisture content National Aeronautics and Space Administration New products North America Precipitation Remote sensing remote sensing technology risk management River discharge river flood forecast River forecasting Rivers Runoff satellites snow Snow-water equivalent spring Stream flow Technology Technology utilization Valuation Weather forecasting Willingness to pay |
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Title | Measuring the economic benefits of advanced technology use for river flood forecasting |
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