Stream temperature/air temperature relationship: a physical interpretation

Mohseni, Omid; Stefan, Heinz G.

doi:10.1016/s0022-1694(99)00034-7

Cited by 459 publications

(415 citation statements)

References 12 publications

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“…Like numerous previous studies [Brown, 1969;Kaushal et al, 2010;Mohseni and Stefan, 1999], we found that air temperature is correlated with water temperature. However, air temperature has low variability in this (Table S3).…”

Section: Influences On Stream Temperaturesupporting

confidence: 89%

Influence of watershed‐climate interactions on stream temperature, sediment yield, and metabolism along a land use intensity gradient in Indonesian Borneo

et al. 2014

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Oil palm plantation expansion into tropical forests may alter physical and biogeochemical inputs to streams, thereby changing hydrological function. In West Kalimantan, Indonesia, we assessed streams draining watersheds characterized by five land uses: intact forest, logged forest, mixed agroforest, and young (<3 years) and mature (>10 years) oil palm plantation. We quantified suspended sediments, stream temperature, and metabolism using high-frequency submersible sonde measurements during month-long intervals between 2009 and 2012. Streams draining oil palm plantations had markedly higher sediment concentrations and yields, and stream temperatures, compared to other streams. Mean sediment concentrations were fourfold to 550-fold greater in young oil palm than in all other streams and remained elevated even under base flow conditions. After controlling for precipitation, the mature oil palm stream exhibited significantly greater sediment yield than other streams. Young and mature oil palm streams were 3.9°C and 3.0°C warmer than the intact forest stream (25°C). Across all streams, base flow periods were significantly warmer than times of stormflow, and these differences were especially large in oil palm catchments. Ecosystem respiration rates were also influenced by low precipitation. During an El Niño-Southern Oscillation-associated drought, the mature oil palm stream consumed a maximum 21 g O 2 m À2 d À1 in ecosystem respiration, in contrast with 2.8 ± 3.1 g O 2 m À2 d À1 during nondrought sampling. Given that 23% of Kalimantan's land area is occupied by watersheds similar to those studied here, our findings inform potential hydrologic outcomes of regional periodic drought coupled with continued oil palm plantation expansion.

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Section: Influences On Stream Temperaturesupporting

confidence: 89%

Influence of watershed‐climate interactions on stream temperature, sediment yield, and metabolism along a land use intensity gradient in Indonesian Borneo

et al. 2014

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“…Depending on the river type and time scale, the air-water temperature dynamics can be effectively http://dx.doi.org/10.1016/j.jhydrol.2015.12.005 0022-1694/Ó 2015 Elsevier B.V. All rights reserved. expressed by a linear or logistic function (Mohseni and Stefan, 1999;Webb et al, 2003;Pekárová et al, 2011;van Vliet et al, 2012;Gu et al, 2014). For example, the slopes of the regression lines between water and air temperature generally increase with increasing time scales (daily, weekly, monthly and annually), while the slope decreases from small upstream to large downstream river reaches (Webb et al, 2003;Caissie, 2006).…”

Section: Introductionmentioning

confidence: 99%

Changes in river water temperature between 1980 and 2012 in Yongan watershed, eastern China: Magnitude, drivers and models

Chen

Guo

et al. 2016

Journal of Hydrology

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s u m m a r yClimate warming is expected to have major impacts on river water quality, water column/hyporheic zone biogeochemistry and aquatic ecosystems. A quantitative understanding of spatio-temporal air (T a ) and water (T w ) temperature dynamics is required to guide river management and to facilitate adaptations to climate change. This study determined the magnitude, drivers and models for increasing T w in three river segments of the Yongan watershed in eastern China. Over the 1980-2012 period, T w in the watershed increased by 0.029-0.046°C yr À1 due to a $0.050°C yr À1 increase of T a and changes in local human activities (e.g., increasing developed land and population density and decreasing forest area). A standardized multiple regression model was developed for predicting annual T w (R 2 = 0.88-0.91) and identifying/ partitioning the impact of the principal drivers on increasing T w :T a (76 ± 1%), local human activities (14 ± 2%), and water discharge (10 ± 1%). After normalizing water discharge, climate warming and local human activities were estimated to contribute 81-95% and 5-19% of the observed rising T w , respectively. Models forecast a 0.32-1.76°C increase in T w by 2050 compared with the 2000-2012 baseline condition based on four future scenarios. Heterogeneity of warming rates existed across seasons and river segments, with the lower flow river and dry season demonstrating a more pronounced response to climate warming and human activities. Rising T w due to changes in climate, local human activities and hydrology has a considerable potential to aggravate river water quality degradation and coastal water eutrophication in summer. Thus it should be carefully considered in developing watershed management strategies in response to climate change.

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“…Studies of atmospheric forcing effects on stream temperature primarily focus on equilibrium temperature (Mohseni and Stefan, 1999;Bogan et al, 2003;Caissie et al, 2005), with some studies solving directly the heat budget equation using a range of meteorological parameters to predict stream temperatures (Sinokrot and Stefan, 1993;Caissie et al, 2007). Stochastically-based empir-ical models in the literature analyze the cumulative effects of atmospheric forcing (Bogan et al, 2006) with most focusing on direct air-temperature/stream-temperature relationships (Caissie et al, 1998(Caissie et al, , 2001O'Driscoll and DeWalle, 2006).…”

Section: Introductionmentioning

confidence: 99%

Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream

Anderson

Thaxton

et al. 2010

Journal of Hydrology

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Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream A B S T R A C TBoone Creek is a mountainous headwater stream that lies within an urbanized environment in north-western North Carolina. The primary source of thermal pollution in Boone Creek is the urban infrastruc-ture, which affects stream temperatures through (1) heated runoff, which creates temperature surges and (2) the elimination of groundwater-surface water interactions. In this study, we use a Monte Carlo ther-mal mixing model to predict the thermal impact of removing a 700-m-long culvert. Our thermal mixing model balances stream discharge and temperatures with surface-heat exchange parameters and restored baseflow. We calculate the daily-average groundwater discharge velocity at 15 locations in the stream using signal decay in streambed temperatures, and utilize a Monte Carlo implementation of the hetero-geneous baseflow field in the thermal mixing model. We also calculate surface-heat exchange per unit area for conditions upstream and downstream of the existing culvert and utilize those values in the ther-mal mixing model. Our modeled temperatures suggest a decrease in summer stream temperatures down-stream of the culvert that average 1.35 ° C and 1.17 ° C for upstream and downstream surface-heat exchange conditions, respectively. The results of our study have implications for the balance between baseflow and the urban infrastructure in any high-gradient urban stream that experiences similar ther-mal effects.

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Stream temperature/air temperature relationship: a physical interpretation

Cited by 459 publications

References 12 publications

Influence of watershed‐climate interactions on stream temperature, sediment yield, and metabolism along a land use intensity gradient in Indonesian Borneo

Influence of watershed‐climate interactions on stream temperature, sediment yield, and metabolism along a land use intensity gradient in Indonesian Borneo

Changes in river water temperature between 1980 and 2012 in Yongan watershed, eastern China: Magnitude, drivers and models

Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream

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