A Classification of Stream Water Temperature Regimes in the Conterminous Usa
نویسندگان
چکیده
Temporal variability in water temperature plays an important role in aquatic ecosystems, yet the thermal regime of streams has mainly been described in terms of mean or extreme conditions. In this study, annual and diel variability in stream water temperature was described at 135 unregulated, gauged streams across the USA. Based on magnitude, amplitude and timing characteristics of daily water temperature records ranging from 5 to 33 years, we classified thermal regimes into six distinct types. This classification underlined the importance of including characteristics of variability (amplitude and timing) in addition to aspects of magnitude to discriminate thermal regimes at the continental scale. We used a classification tree to predict thermal regime membership of the six classes and found that the annual mean and range in the long-term air temperature average along with spring flows were important variables defining the thermal regime types at the continental scale. This research provides a framework for a comprehensive characterization of the thermal regimes of streams that could provide a basis for future assessment of changes in water temperature caused by anthropogenic activities such as dams, land use changes and climate change. Copyright © 2015 John Wiley & Sons, Ltd. key words: water temperature; thermal regime; stream; Fourier series; variability; classification Received 4 July 2014; Accepted 2 April 2015
منابع مشابه
A model to predict stream water temperature across the conterminous USA
Catalina Segura,* Peter Caldwell, Ge Sun, Steve McNulty and Yang Zhang 1 Marine, Earth, and Atmospheric Sciences Department, North Carolina State University, 2800 Faucette Drive, Raleigh, NC 27695-8208, USA 2 Forestry Engineering, Resources, and Management Department, Oregon State University, 280 Peavy Hall, Corvallis, OR 97331, USA 3 Center for Forest Watershed Science, USDA Forest Service, Co...
متن کاملRegional interpretation of water-quality monitoring data
We describe a method for using spatially referenced regressions of contaminant transport on watershed attributes (SPARROW) in regional water-quality assessment. The method is designed to reduce the problems of data interpretation caused by sparse sampling, network bias, and basin heterogeneity. The regression equation relates measured transport rates in streams to spatially referenced descripto...
متن کاملThe effect of irrigation regimes on some physiologic properties and seed yield of sesame genotypes
Sesame is one of the oldest crops in the world that is commonly cultivated in arid and semi-arid due to high oil seeds (42-52%). In order to determine the effects of water deficit (55, 75 and 85 percent evacuation of soil water) on genotype sesame (Varamin, Naztakshakhe, Oltan and Yekta), a field experiment was conducted using a split-plot in randomized complete design with three replication at...
متن کاملپهنه بندی کیفی آب رودخانه دوهزار تنکابن بر اساس شاخص NSFWQI با استفاده از سامانه اطلاعات جغرافیایی (GIS)
Background and purpose: Using water quality indices is one of the methods for checking river’s water quality. NSFWQI, is the most widely used among water quality indices. This study aimed to evaluate the water quality in Dohezar river, Tonekabon, using NSFWQI. Materials and methods: In this study, sampling was performed during 6 months (3 month with low level of water and 3 months with high le...
متن کاملWater Quality Modeling and Evaluation of Nutrient Control Strategies Using QUAL2K in the Small Rivers
Background: Qual2k is a stream water quality model and was used to evaluate the water quality of the Kine-Vars River and assess the response of the river to nutrient management strategies. Methods: For that purpose, 7 sample stations were selected and surface water samples were collected in the winter and summer of 2012 and were analyzed for temperature, dissolved oxygen, biological oxygen dem...
متن کامل