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DOI10.1007/s10661-013-3114-6
Automated riverine landscape characterization: GIS-based tools for watershed-scale research, assessment, and management
Williams, Bradley S.1,2; D'; Amico, Ellen3; Kastens, Jude H.1; Thorp, James H.1,2; Flotemersch, Joseph E.4; Thoms, Martin C.5
发表日期2013-09-01
ISSN0167-6369
卷号185期号:9页码:7485-7499
英文摘要

River systems consist of hydrogeomorphic patches (HPs) that emerge at multiple spatiotemporal scales. Functional process zones (FPZs) are HPs that exist at the river valley scale and are important strata for framing whole-watershed research questions and management plans. Hierarchical classification procedures aid in HP identification by grouping sections of river based on their hydrogeomorphic character; however, collecting data required for such procedures with field-based methods is often impractical. We developed a set of GIS-based tools that facilitate rapid, low cost riverine landscape characterization and FPZ classification. Our tools, termed RESonate, consist of a custom toolbox designed for ESRI ArcGISA (R). RESonate automatically extracts 13 hydrogeomorphic variables from readily available geospatial datasets and datasets derived from modeling procedures. An advanced 2D flood model, FLDPLN, designed for MATLABA (R) is used to determine valley morphology by systematically flooding river networks. When used in conjunction with other modeling procedures, RESonate and FLDPLN can assess the character of large river networks quickly and at very low costs. Here we describe tool and model functions in addition to their benefits, limitations, and applications.


英文关键词Flood model;Functional process zone;Hydrogeomorphic;Riverine ecosystem synthesis;Patch;Scale
语种英语
WOS记录号WOS:000322485500029
来源期刊ENVIRONMENTAL MONITORING AND ASSESSMENT
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/59264
作者单位1.Univ Kansas, Kansas Biol Survey, Lawrence, KS 66047 USA;
2.Univ Kansas, Dept Ecol & Evolutionary Biol, Lawrence, KS 66047 USA;
3.US EPA, Dynamac Corp, Cincinnati, OH 45220 USA;
4.US EPA, Natl Exposure Res Lab, Cincinnati, OH 45220 USA;
5.Univ New England, Sch Behav Cognit & Social Sci, Armidale, NSW 2351, Australia
推荐引用方式
GB/T 7714
Williams, Bradley S.,D',Amico, Ellen,et al. Automated riverine landscape characterization: GIS-based tools for watershed-scale research, assessment, and management[J]. 美国环保署,2013,185(9):7485-7499.
APA Williams, Bradley S..,D'.,Amico, Ellen.,Kastens, Jude H..,Thorp, James H..,...&Thoms, Martin C..(2013).Automated riverine landscape characterization: GIS-based tools for watershed-scale research, assessment, and management.ENVIRONMENTAL MONITORING AND ASSESSMENT,185(9),7485-7499.
MLA Williams, Bradley S.,et al."Automated riverine landscape characterization: GIS-based tools for watershed-scale research, assessment, and management".ENVIRONMENTAL MONITORING AND ASSESSMENT 185.9(2013):7485-7499.
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