Simulating land-use changes and stormwater-detention basins and evaluating their effect on peak streamflows and stream-water quality in Irondequoit Creek basin, New York—A user's manual for HSPF and GenScn

Coon, William F.

doi:10.3133/ofr03136

Cited by 6 publications

(11 citation statements)

References 1 publication

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“…The first simulated the effects of land-use changes on flooding and stream-water quality, and the second simulated the effects of a stormflow detention basin on flooding and water quality. The steps involved in the creation and analysis of land-use scenarios and detention basins in the Irondequoit Creek basin are provided in Coon (2003). The third analysis entailed computation of flood frequencies from model-generated annual peak flows for 1971-2000 (the period for which precipitation records were available), and comparison with those computed from annual peak flows recorded at two streamflow-monitoring sites.…”

Section: Model Applicationsmentioning

confidence: 99%

“…Instruction of the IWC on scenario creation and analysis was provided in an earlier report by Coon (2003).…”

Section: Purpose and Scopementioning

confidence: 99%

“…In that scenario, 10 percent of the area in subbasin T5 in the southern part of the basin ( fig. 8) was changed from open and(or) rural grass or forested designations to pervious and impervious developed areas by revising the acreages listed in the SCHEMATIC module of the UCI file as instructed by Coon (2003). The effects of these changes on streamflow and stream-water quality were automatically simulated by HSPF.…”

Section: Land-use Changesmentioning

confidence: 99%

“…Steps to make these revisions are described by Coon (2003). To a limited degree, these Ftable revisions will also simulate the water-quality effects of a detention basin; however, these effects can be simulated more precisely through the BMPRAC module of HSPF.…”

Section: Hypothetical Stormflow-detention Basinsmentioning

confidence: 99%

“…The WDM file was organized such that (1) flows generated from one or two land-use-change scenarios and one or two detention-basin scenarios could be uniquely stored for each RCHRES, as explained by Coon (2003); and (2) chemical loads of sediment, TP, TKN, NOx, and TN, from as many as three scenarios could be simulated and stored in uniquely identified files. A user-defined location (such as RCHRES 100 in subbasin T5) could have data stored from three water-quality scenarios-WQSCEN1, WQSCEN2, and WQSCEN3-as identified in the UCI and WDM files.…”

Section: Model Applicationsmentioning

confidence: 99%

See 4 more Smart Citations

Effects of land-use changes and stormflow-detention basins on flooding and nonpoint-source pollution, in Irondequoit Creek basin, Monroe and Ontario counties, New York--application of a precipitation-runoff model

Coon¹,

Johnson²

2005

Scientific Investigations Report

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Section: Model Applicationsmentioning

confidence: 99%

“…Instruction of the IWC on scenario creation and analysis was provided in an earlier report by Coon (2003).…”

Section: Purpose and Scopementioning

confidence: 99%

Section: Land-use Changesmentioning

confidence: 99%

Section: Hypothetical Stormflow-detention Basinsmentioning

confidence: 99%

Section: Model Applicationsmentioning

confidence: 99%

See 3 more Smart Citations

Effects of land-use changes and stormflow-detention basins on flooding and nonpoint-source pollution, in Irondequoit Creek basin, Monroe and Ontario counties, New York--application of a precipitation-runoff model

Coon¹,

Johnson²

2005

Scientific Investigations Report

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Mapping detention basins and deriving their spatial attributes from airborne LiDAR data for hydrological applications

Liu

Wang

2007

Hydrological Processes

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Abstract:This paper presents a new technique for mapping detention basins and measuring their spatial attributes using high-resolution airborne LiDAR (Light Detection and Ranging) data. An efficient least-cost search algorithm is employed to identify surface depressions from a bare-earth LiDAR digital elevation model (DEM). Surface depressions are automatically delineated into hydrological objects using the connected component identification and indexing algorithm. Various spatial attributes are derived for these hydrologic objects, including location, perimeter, surface area, depth, storage volume and shape properties. Based on spatial attributes, a rule-based classifier is established to separate detention basins from other types of surface depressions. We have successfully applied our technique to an urban watershed in the Houston Metropolitan area, Texas. Detention basins at regional and residential subdivision levels are mapped out for the watershed, and measurements on the spatial attributes are derived for each detention basin. The quantitative information derived from LiDAR data provides a scientific basis for formulating an appropriate management plan for detention basins and for assessing their effects on flood control and storm water quality treatment.

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Surface mining and reclamation effects on flood response of watersheds in the central Appalachian Plateau region

Ferrari

Lookingbill

McCormick

et al. 2009

Water Resources Research

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[1] Surface mining of coal and subsequent reclamation represent the dominant land use change in the central Appalachian Plateau (CAP) region of the United States. Hydrologic impacts of surface mining have been studied at the plot scale, but effects at broader scales have not been explored adequately. Broad-scale classification of reclaimed sites is difficult because standing vegetation makes them nearly indistinguishable from alternate land uses. We used a land cover data set that accurately maps surface mines for a 187-km 2 watershed within the CAP. These land cover data, as well as plot-level data from within the watershed, are used with HSPF (Hydrologic Simulation Program-Fortran) to estimate changes in flood response as a function of increased mining. Results show that the rate at which flood magnitude increases due to increased mining is linear, with greater rates observed for less frequent return intervals. These findings indicate that mine reclamation leaves the landscape in a condition more similar to urban areas rather than does simple deforestation, and call into question the effectiveness of reclamation in terms of returning mined areas to the hydrological state that existed before mining.

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Simulating land-use changes and stormwater-detention basins and evaluating their effect on peak streamflows and stream-water quality in Irondequoit Creek basin, New York—A user's manual for HSPF and GenScn

Cited by 6 publications

References 1 publication

Effects of land-use changes and stormflow-detention basins on flooding and nonpoint-source pollution, in Irondequoit Creek basin, Monroe and Ontario counties, New York--application of a precipitation-runoff model

Effects of land-use changes and stormflow-detention basins on flooding and nonpoint-source pollution, in Irondequoit Creek basin, Monroe and Ontario counties, New York--application of a precipitation-runoff model

Mapping detention basins and deriving their spatial attributes from airborne LiDAR data for hydrological applications

Surface mining and reclamation effects on flood response of watersheds in the central Appalachian Plateau region

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