Physical and thermal properties of mud-dominant sediment from the Joetsu Basin in the eastern margin of the Japan Sea

Gotô, Seiichi; Yamano, Makoto; Morita, Sumito; Kanamatsu, Toshiya; Hachikubo, Akihiro; Kataoka, Satsuki; Tanahashi, Mamoru; Matsumoto, Ryo

doi:10.1007/s11001-017-9302-y

Cited by 22 publications

(8 citation statements)

References 41 publications

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“…The upper limit for

α_{s}

of 0.005

c m^{2} / s

corresponds to the general value recommended in Zhang and Johnson (2016) and is within the range for the type of sediments present at our test sites. This recommended value, however, is higher than the measured values reported by Goto et al (2017) for marine sediments, which tended to cluster around 0.0025

c m^{2} / s

. The final “best‐estimate” diffusivity parameters ranged from 0.00125

c m^{2} / s

on the larger streams to 0.0025

c m^{2} / s

on the agricultural streams.…”

Section: Discussioncontrasting

confidence: 54%

Reduced‐complexity model of stream temperature

Miller

Young

2021

River Research & Apps

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In this article, a process‐based model of time‐varying stream temperatures is developed. The integrated compartment‐based model balances a need to account for the major physical components of the heat balance at specific sites while maintaining computational efficiency. The ability of the model to simulate instantaneous temperatures is demonstrated at six study locations in the sub‐tropical, low‐gradient region of Southern Louisiana, USA. The model yielded Nash–Sutcliffe efficiency (NSE) scores of 0.9 and above and an average root mean squared error (RMSE) of 1.07°C for hourly water temperature over a six‐month period. The parameter sensitivity analysis demonstrates the variable significance of vaporization and bed sediment conduction across the different study locations. The results show that the sediment heat exchange may have a significant seasonal effect on the energy budgets of streams where flows are a large component of the heat balance in temperate climates. The model is well‐suited to serve as a simple physically based thermal impact assessment tool for streams and potentially many other types of waterbodies as well. The model also complements the widely used meteorological‐ and statistical‐based methodologies applied in the development of tributary and headwater temperature boundary conditions for large‐scale river temperature studies.

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“…The upper limit for

α_{s}

of 0.005

c m^{2} / s

c m^{2} / s

. The final “best‐estimate” diffusivity parameters ranged from 0.00125

c m^{2} / s

on the larger streams to 0.0025

c m^{2} / s

on the agricultural streams.…”

Section: Discussioncontrasting

confidence: 54%

Reduced‐complexity model of stream temperature

Miller

Young

2021

River Research & Apps

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show abstract

“…The depth of stable thermal conductivity values was related to the sedimentary environment [14]. Thermal conductivity and thermal diffusivity increase with increasing depth below the seafloor because they are negatively correlated with porosity [15]. On the other hand, these relations are also important in other areas of study, such as climate change and water quality analysis.…”

Section: Introductionmentioning

confidence: 99%

Statistical Investigation of Climate Change Effects on the Utilization of the Sediment Heat Energy

et al. 2022

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Suvilahti, a suburb of the city of Vaasa in western Finland, was the first area to use seabed sediment heat as the main source of heating for a high number of houses. Moreover, in the same area, a unique land uplift effect is ongoing. The aim of this paper is to solve the challenges and find opportunities caused by global warming by utilizing seabed sediment energy as a renewable heat source. Measurement data of water and air temperature were analyzed, and correlations were established for the sediment temperature data using Statistical Analysis System (SAS) Enterprise Guide 7.1. software. The analysis and provisional forecast based on the autoregression integrated moving average (ARIMA) model revealed that air and water temperatures show incremental increases through time, and that sediment temperature has positive correlations with water temperature with a 2-month lag. Therefore, sediment heat energy is also expected to increase in the future. Factor analysis validations show that the data have a normal cluster and no particular outliers. This study concludes that sediment heat energy can be considered in prominent renewable production, transforming climate change into a useful solution, at least in summertime.

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“…The actual density was distributed within the numerical zone from 0.8150 to 1.2715 g cm −3 (Table 2) as the moisture content varied between 10% and 30%. The specific heat at different densities was determined by a dual-needle probe method [28] using a thermal properties analyzer (KD2 Pro, Decagon Devices, Pullman, WA, USA).…”

Section: Methodsmentioning

confidence: 99%

Effects of Moisture, Temperature, and Salt Content on the Dielectric Properties of Pecan Kernels during Microwave and Radio Frequency Drying Processes

Zhang

Cheng

et al. 2019

Foods

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Dielectric properties of materials influence the interaction of electromagnetic fields with and are therefore important in designing effective dielectric heating processes. We investigated the dielectric properties (DPs) of pecan kernels between 10 and 3000 MHz using a Novocontrol broadband dielectric spectrometer in a temperature range of 5–65 °C and a moisture content range of 10–30% wet basis (wb) at three salt levels. The dielectric constant (ε′) and loss factor (ε″) of the pecan kernels decreased significantly with increasing frequency in the radio frequency (RF) band, but gradually in the measured microwave (MW) band. The moisture content and temperature increase greatly contributed to the increase in the ε′ and ε″ of samples, and ε″ increased sharply with increasing salt strength. Quadratic polynomial models were established to simulate DPs as functions of temperature and moisture content at four frequencies (27, 40, 915, and 2450 MHz), with R2 > 0.94. The average penetration depth of pecan kernels in the RF band was greater than that in the MW band (238.17 ± 21.78 cm vs. 15.23 ± 7.36 cm; p < 0.01). Based on the measured DP data, the simulated and experimental temperature-time histories of pecan kernels at five moisture contents were compared within the 5 min RF heating period.

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Physical and thermal properties of mud-dominant sediment from the Joetsu Basin in the eastern margin of the Japan Sea

Cited by 22 publications

References 41 publications

Reduced‐complexity model of stream temperature

Reduced‐complexity model of stream temperature

Statistical Investigation of Climate Change Effects on the Utilization of the Sediment Heat Energy

Effects of Moisture, Temperature, and Salt Content on the Dielectric Properties of Pecan Kernels during Microwave and Radio Frequency Drying Processes

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