{"id":6629,"date":"2021-02-19T22:42:28","date_gmt":"2021-02-20T04:42:28","guid":{"rendered":"https:\/\/arch.tamu.edu.staging2.juiceboxint.com\/news\/2021\/02\/19\/planning-prof-finds-reduced-flood-risk-in-alternate-land-use-plan\/"},"modified":"2022-06-27T12:34:33","modified_gmt":"2022-06-27T17:34:33","slug":"planning-prof-finds-reduced-flood-risk-in-alternate-land-use-plan","status":"publish","type":"post","link":"https:\/\/www.arch.tamu.edu\/news\/2021\/02\/19\/planning-prof-finds-reduced-flood-risk-in-alternate-land-use-plan\/","title":{"rendered":"Planning prof finds reduced flood risk in alternate land use plan"},"content":{"rendered":"

Stark differences in flood exposure and pollutant discharges corresponding with different urban growth scenarios in Tampa, Fla., were detailed in a study by Galen Newman, director of the Texas A&M Center for Housing and Urban Development<\/a>, and three research colleagues.<\/p>\n

\u201cOur findings show that growth based on the existing land use plan for Tampa has higher flood exposure and pollutant discharge than a hazard-resilient approach to future growth,\u201d he said.<\/p>\n

In the growth scenarios, Newman and his research colleagues also included climate change-related future floodplain levels projected by the National Oceanic and Atmospheric Administration.<\/p>\n

\"photo
Galen Newman<\/figcaption><\/figure>\n

The group\u2019s findings are widely relevant because 39 percent of the U.S. population resides in coastal counties, and more than 600 million people live in coastal regions near sea level.<\/p>\n

\u201cSea level rise due to climate change makes coastal populations more susceptible to flood risk,\u201d said Newman. \u201cThe use of land change prediction modeling to inform scenario-based planning has been shown to help deal with uncertainties in urbanization such as urban growth and flood risk.\u201d<\/p>\n

To arrive at their findings, Newman\u2019s team used a land transformation model that combines geographic information system data \u2014 which allows users to analyze and understand spatial relationships, patterns and trends \u2014 with a neural network, a statistical data modeling tool.<\/p>\n

They applied the land transformation model to three different urban growth scenarios in Tampa:<\/p>\n

\u2022 growth based on the city\u2019s current growth patterns;<\/p>\n

\u2022 growth based on the city\u2019s current land use plan, and<\/p>\n

\u2022 growth based on future development occurring outside the projected floodplain.<\/p>\n

With land use projections in hand, the researchers created master development plans for each scenario with NOAA\u2019s projected, climate change-based floodplain levels. They assessed each master plan\u2019s projected flood risk and pollutant discharge with a long-term hydrologic impact analysis model, which estimates the impact of a given area\u2019s land use changes.<\/p>\n

Newman\u2019s research partners were Youjung Kim, now an assistant professor at Concordia University, Karishma Joshi \u201820, now an associate landscape designer at Carducci Associates, and Jiali Liu \u201920.<\/p>\n

The project was funded by the Texas A&M Office of the Vice President for Research as part of the university\u2019s ongoing commitment to the Texas A&M Superfund Research Center<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Stark differences in flooding and pollution in different urban growth scenarios were detailed in a study by urban planning professor Galen Newman.<\/p>\n","protected":false},"author":32,"featured_media":6630,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[88,63],"tags":[],"class_list":["post-6629","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-landscape-architecture-urban-planning","category-research-innovation"],"acf":[],"yoast_head":"\nTexas A&M planning prof finds reduced flood risk in alternate land use plan<\/title>\n<meta name=\"description\" content=\"Stark differences in flooding and pollution in different urban growth scenarios were detailed in a study by professor Galen Newman.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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