Assessment of a judgment‐based hydrogeomorphic wetland classification using long‐term hydrologic data
Assessment of a judgment‐based hydrogeomorphic wetland classification using long‐term hydrologic data
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使用长期水文数据评估基于判断的水文地貌湿地分类
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发表时间：
2017
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通讯作者：
Charles Andrew Cole
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文献类型：
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作者：
Charles Andrew Cole
水文地貌（HGM）湿地分类越来越普遍，但缺乏实质性的审查这些分类背后的假设。在本文中，我比较了HGM分类的湿地网站开发的最好的专业判断与分类开发的长期水文数据在这些相同的网站。四十二个湿地，涵盖五个HGM亚类，在宾夕法尼亚州中部取样超过十年。使用中位水深作为指标，通过聚类分析确定了四个组（创建的、河岸洼地/斜坡以及源头/主干洪泛区的两种组合）。地下水补给点（河岸洼地和坡脚）被其更一致的水源清楚地分开，而其他斜坡和洪泛区则不太清楚。水文的长期评估通常支持在不太严格的条件下开发并通过最佳专业判断产生的HGM分类方案，但需要改进干燥场地的评估。
Hydrogeomorphic (HGM) wetland classifications are becoming increasingly common but lack substantial review of assumptions behind those classifications. In this paper, I compare an HGM classification of wetland sites developed by best professional judgment with a classification developed using long‐term hydrologic data over those same sites. Forty‐two wetlands, covering five HGM subclasses, were sampled for over a decade in central Pennsylvania. Using median depth to water as the metric, four groups were identified through cluster analysis (created, riparian depression/slope, and two combinations of headwater/mainstem floodplains). The groundwater‐fed sites (riparian depressions and toe‐of‐slopes) were clearly separated by their more consistent source of water, whereas other slopes and floodplain sites were less clearly defined. Long‐term assessment of hydrology generally supported an HGM classification scheme developed under less stringent conditions and produced by best professional judgment, but improvements in the assessment of drier sites are needed.