Christopher Zarzar

Zarzar Earth Science Solutions;North Carolina Central University;Wake Forest University | Assistant Professor

Subject Areas: Hydrometeorology, Water quality, flash flooding, riverine flooding

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ABSTRACT:

This dataset has been used to characterize the spatial and temporal patterns of precipitation in North Carolina over a 17-year period (2003–2019). National Center for Environmental Prediction Stage IV multi-sensor precipitation estimates were used to compile the grib2 data which was then converted to GeoTIFF format to increase accessibility and ease for use in spatial analyses. This North Carolina domain includes hourly (1 hour) and daily (24 hour) multi-sensor precipitation estimates from 2003-2019.

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ABSTRACT:

Riverine flooding creates hazardous conditions for surrounding communities that can threaten lives and property. Flood inundation modeling for communities is limited due to the tremendous amount of time and money required to generate a hydraulic model. Therefore, decision-makers tend to rely on FEMA (Federal Emergency Management Agency) flood maps for information about flooding and related hydrological hazards. FEMA flood maps offer guidance about areas at risk of flooding based on historic stream gauge information; however, these maps are not regularly updated with recent changes to stream morphology, watershed land cover conditions, precipitation characteristics, or river discharge. The evaluation of the river flashiness can provide some awareness of how the modification of land cover within a watershed by removing vegetation, sediment, or the addition of impervious surfaces can impact a river flow. Increasing the rate of erosion and flashiness in a moving body of water can negatively impact downstream. Running an assessment on a watershed flashiness before any form of development involving removing vegetation and increased runoff could be beneficial to state and local regulators. By evaluating 57 years of United States Geological Survey discharge data for the Eno, the current study found an increasing trend in river flashiness for the Eno River. Additional evidence suggests this could be cause by slight changes in land cover and precipitation. Such outcomes are of concern for downstream communities where increased river flashiness serves as a proxy for increased flash floor potential. Furthermore, the outcome reported provide immortal hydrological information as decision makers plan for future development in the Eno River Watershed.

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ABSTRACT:

Riverine flooding creates hazardous conditions for surrounding communities that can threaten lives and property. Flood inundation modeling for communities is limited due to the tremendous amount of time and money required to generate a hydraulic model. Therefore, decision-makers tend to rely on FEMA (Federal Emergency Management Agency) flood maps for information about flooding and related hydrological hazards. FEMA flood maps offer guidance about areas at risk of flooding based on historic stream gauge information; however, these maps are not regularly updated with recent changes to stream morphology, watershed land cover conditions, precipitation characteristics, or river discharge. The evaluation of the river flashiness can provide some awareness of how the modification of land cover within a watershed by removing vegetation, sediment, or the addition of impervious surfaces can impact a river flow. Increasing the rate of erosion and flashiness in a moving body of water can negatively impact downstream. Running an assessment on a watershed flashiness before any form of development involving removing vegetation and increased runoff could be beneficial to state and local regulators. By evaluating 57 years of United States Geological Survey discharge data for the Eno, the current study found an increasing trend in river flashiness for the Eno River. Additional evidence suggests this could be cause by slight changes in land cover and precipitation. Such outcomes are of concern for downstream communities where increased river flashiness serves as a proxy for increased flash floor potential. Furthermore, the outcome reported provide immortal hydrological information as decision makers plan for future development in the Eno River Watershed.

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Resource Resource

ABSTRACT:

This dataset has been used to characterize the spatial and temporal patterns of precipitation in North Carolina over a 17-year period (2003–2019). National Center for Environmental Prediction Stage IV multi-sensor precipitation estimates were used to compile the grib2 data which was then converted to GeoTIFF format to increase accessibility and ease for use in spatial analyses. This North Carolina domain includes hourly (1 hour) and daily (24 hour) multi-sensor precipitation estimates from 2003-2019.

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