2023
DOI: 10.3390/land12020276
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An Approach for Prioritizing Natural Infrastructure Practices to Mitigate Flood and Nitrate Risks in the Mississippi-Atchafalaya River Basin

Abstract: Risks from flooding and poor water quality are evident at a range of spatial scales and climate change will exacerbate these risks in the future. Natural infrastructure (NI), consisting of structural or perennial vegetation, measures that provide multiple ecosystem benefits have the potential to reduce flood and water quality risks. In this study, we intersected watershed-scale risks to flooding and nitrate export in the Mississippi-Atchafalaya River Basin (MARB) of the central U.S. with potential locations of… Show more

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Cited by 8 publications
(12 citation statements)
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“…different landscapes within a watershed area [40][41][42][43][44][45]. At the same time, structural water retention measures provide an enhanced water storage capacity; therefore, they may generally be more effective for water quality improvements than agrotechnical measures [40][41][42].…”
Section: Characteristics Of the Area Of Interestmentioning
confidence: 99%
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“…different landscapes within a watershed area [40][41][42][43][44][45]. At the same time, structural water retention measures provide an enhanced water storage capacity; therefore, they may generally be more effective for water quality improvements than agrotechnical measures [40][41][42].…”
Section: Characteristics Of the Area Of Interestmentioning
confidence: 99%
“…In numerous cases, and especially in practice, runoff reduction interventions and water quality improvement measures are separately propounded or adopted solely for the selected individual measures [35][36][37][38][39]. Nevertheless, several complex approaches have been documented in the literature [40][41][42][43][44]. A comprehensive method utilized for identifying priority areas on a large scale, including agricultural drainage, was presented in a study conducted by [41], which assessed runoff and nitrate leaching processes using the SWAT model and GIS tools in risky areas, and accordingly positioned and evaluated seven types of structural measures in the study.…”
Section: Introductionmentioning
confidence: 99%
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