DOI: 10.1029/2019WR026127
论文题名: A Classification of Streamflow Patterns Across the Coastal Gulf of Alaska
作者: Sergeant C.J. ; Falke J.A. ; Bellmore R.A. ; Bellmore J.R. ; Crumley R.L.
刊名: Water Resources Research
ISSN: 431397
出版年: 2020
卷: 56, 期: 2 语种: 英语
英文关键词: Alaska
; AutoClass
; coastal watersheds
; discharge
; flow regime
; fuzzy classification
Scopus关键词: Discharge (fluid mechanics)
; Ecosystems
; Rain
; Runoff
; Snow
; Water
; Watersheds
; Alaska
; AutoClass
; Coastal watersheds
; Flow regimes
; Fuzzy classification
; Stream flow
; amplitude
; Bayesian analysis
; classification
; discharge
; ecosystem service
; food production
; fuzzy mathematics
; hydrological modeling
; hydrological regime
; runoff
; streamflow
; watershed
; Gulf of Alaska
; Pacific Ocean
; Animalia
英文摘要: Streamflow controls many freshwater and marine processes, including salinity profiles, sediment composition, fluxes of nutrients, and the timing of animal migrations. Watersheds that border the Gulf of Alaska (GOA) comprise over 400,000 km2 of largely pristine freshwater habitats and provide ecosystem services such as reliable fisheries for local and global food production. Yet no comprehensive watershed-scale description of current temporal and spatial patterns of streamflow exists within the coastal GOA. This is an immediate need because the spatial distribution of future streamflow patterns may shift dramatically due to warming air temperature, increased rainfall, diminishing snowpack, and rapid glacial recession. Our primary goal was to describe variation in streamflow patterns across the coastal GOA using an objective set of descriptors derived from flow predictions at the downstream-most point within each watershed. We leveraged an existing hydrologic runoff model and Bayesian mixture model to classify 4,140 watersheds into 13 classes based on seven streamflow statistics. Maximum discharge timing (annual phase shift) and magnitude relative to mean discharge (amplitude) were the most influential attributes. Seventy-six percent of watersheds by number showed patterns consistent with rain or snow as dominant runoff sources, while the remaining watersheds were driven by rain-snow, glacier, or low-elevation wetland runoff. Streamflow classes exhibited clear mechanistic links to elevation, ice coverage, and other landscape features. Our classification identifies watersheds that might shift streamflow patterns in the near future and, importantly, will help guide the design of studies that evaluate how hydrologic change will influence coastal GOA ecosystems. © 2020. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159938
Appears in Collections: 气候变化与战略
There are no files associated with this item.
作者单位: College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, AK, United States; Flathead Lake Biological Station, University of Montana, Polson, MT, United States; Alaska Cooperative Fish and Wildlife Research Unit, U.S. Geological Survey, Fairbanks, AK, United States; Southeast Alaska Watershed Coalition, Juneau, AK, United States; Pacific Northwest Research Station, U.S. Department of Agriculture, Forest Service, Juneau, AK, United States; Water Resources Graduate Program, Oregon State University, Corvallis, OR, United States
Recommended Citation:
Sergeant C.J.,Falke J.A.,Bellmore R.A.,et al. A Classification of Streamflow Patterns Across the Coastal Gulf of Alaska[J]. Water Resources Research,2020-01-01,56(2)