LONG-TERM CONTINUOUS IN-SITU MONITORING OF TUNNEL LINING SURFACE TEMPERATURE IN COLD REGION AND ITS APPLICATION

Land surface temperature (LST) is vital for studies of hydrology, ecology, climatology, and environmental monitoring. The radiative-transfer-equation-based single-channel algorithm, in conjunction with the atmospheric profile, is regarded as the most suitable one with which to produce long-term time series LST products from Landsat thermal infrared (TIR) data. In this study, the performances of seven atmospheric profiles from different sources (the MODerate-resolution Imaging Spectroradiomete atmospheric profile product (MYD07), the Atmospheric Infrared Sounder atmospheric profile product (AIRS), the European Centre for Medium-range Weather Forecasts (ECMWF), the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA2), the National Centers for Environmental Prediction (NCEP)/Global Forecasting System (GFS), NCEP/Final Operational Global Analysis (FNL), and NCEP/Department of Energy (DOE)) were comprehensively evaluated in the single-channel algorithm for LST retrieval from Landsat 8 TIR data. Results showed that when compared with the radio sounding profile downloaded from the University of Wyoming (UWYO), the worst accuracies of atmospheric parameters were obtained for the MYD07 profile. Furthermore, the root-mean-square error (RMSE) values (approximately 0.5 K) of the retrieved LST when using the ECMWF, MERRA2, NCEP/GFS, and NCEP/FNL profiles were smaller than those but greater than 0.8 K when the MYD07, AIRS, and NCEP/DOE profiles were used. Compared with the in situ LST measurements that were collected at the Hailar, Urad Front Banner, and Wuhai sites, the RMSE values of the LST that were retrieved by using the ECMWF, MERRA2, NCEP/GFS, and NCEP/FNL profiles were approximately 1.0 K. The largest discrepancy between the retrieved and in situ LST was obtained for the NCEP/DOE profile, with an RMSE value of approximately 1.5 K. The results reveal that the ECMWF, MERRA2, NCEP/GFS, and NCEP/FNL profiles have great potential to perform accurate atmospheric correction and generate long-term time series LST products from Landsat TIR data by using a single-channel algorithm.

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Differential frond growth in the isomorphic haploid‐diploid red seaweed Agarophyton chilense by long‐term in situ monitoring

Journal of Phycology ◽

10.1111/jpy.13110 ◽

2020 ◽

Author(s):

Vasco M.N.C.S. Vieira ◽

Aschwin H. Engelen ◽

Oscar R. Huanel ◽

Marie‐Laure Guillemin

Keyword(s):

In Situ Monitoring ◽

Red Seaweed

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Long-term in situ monitoring at Dashgil mud volcano, Azerbaijan: a link between seismicity, pore-pressure transients and methane emission

International Journal of Earth Sciences ◽

10.1007/s00531-009-0487-4 ◽

2009 ◽

Vol 99 (S1) ◽

pp. 227-240 ◽

Cited By ~ 18

Author(s):

Achim Kopf ◽

Georg Delisle ◽

Eckhard Faber ◽

Behrouz Panahi ◽

Chingiz S. Aliyev ◽

...

Keyword(s):

Pore Pressure ◽

Methane Emission ◽

In Situ Monitoring ◽

Mud Volcano ◽

Pressure Transients

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Remote sensing of cyanobacterial blooms in Lake Champlain, USA

Water Science & Technology Water Supply ◽

10.2166/ws.2013.114 ◽

2013 ◽

Vol 13 (5) ◽

pp. 1402-1409

Author(s):

Adam Trescott ◽

Elizabeth Isenstein ◽

Mi-Hyun Park

Keyword(s):

Remote Sensing ◽

Satellite Images ◽

Monitoring Program ◽

In Situ Monitoring ◽

Cyanobacterial Blooms ◽

Lake Champlain ◽

Initiation And Propagation ◽

Landsat 7

The objective of this study was to develop cyanobacteria remote sensing models using Landsat 7 Enhanced Thematic Mapper Plus (ETM+) as an alternative to shipboard monitoring efforts in Lake Champlain. The approach allowed for estimation of cyanobacteria directly from satellite images, calibrated and validated with 4 years of in situ monitoring data from Lake Champlain's Long-Term Water Quality and Biological Monitoring Program (LTMP). The resulting stepwise regression model was applied to entire satellite images to provide distribution of cyanobacteria throughout the surface waters of Lake Champlain. The results demonstrate the utility of remote sensing for estimating the distribution of cyanobacteria in inland waters, which can be further used for presenting the initiation and propagation of cyanobacterial blooms in Lake Champlain.

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Comparison of in situ time-series of temperature with gridded sea surface temperature datasets in the North Atlantic

ICES Journal of Marine Science ◽

10.1093/icesjms/fsp041 ◽

2009 ◽

Vol 66 (7) ◽

pp. 1467-1479 ◽

Cited By ~ 16

Author(s):

Sarah L. Hughes ◽

N. Penny Holliday ◽

Eugene Colbourne ◽

Vladimir Ozhigin ◽

Hedinn Valdimarsson ◽

...

Keyword(s):

Time Series ◽

Surface Temperature ◽

Sea Surface Temperature ◽

North Atlantic ◽

Sea Surface ◽

The North ◽

Spatial Coverage ◽

The North Atlantic

Abstract Hughes, S. L., Holliday, N. P., Colbourne, E., Ozhigin, V., Valdimarsson, H., Østerhus, S., and Wiltshire, K. 2009. Comparison of in situ time-series of temperature with gridded sea surface temperature datasets in the North Atlantic. – ICES Journal of Marine Science, 66: 1467–1479. Analysis of the effects of climate variability and climate change on the marine ecosystem is difficult in regions where long-term observations of ocean temperature are sparse or unavailable. Gridded sea surface temperature (SST) products, based on a combination of satellite and in situ observations, can be used to examine variability and long-term trends because they provide better spatial coverage than the limited sets of long in situ time-series. SST data from three gridded products (Reynolds/NCEP OISST.v2., Reynolds ERSST.v3, and the Hadley Centre HadISST1) are compared with long time-series of in situ measurements from ICES standard sections in the North Atlantic and Nordic Seas. The variability and trends derived from the two data sources are examined, and the usefulness of the products as a proxy for subsurface conditions is discussed.

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In situ monitoring of internal surface temperature of the historic building envelope

Selected Scientific Papers - Journal of Civil Engineering ◽

10.1515/sspjce-2016-0009 ◽

2016 ◽

Vol 11 (1) ◽

pp. 77-84

Author(s):

Veronika Labovská ◽

Dušan Katunský

Keyword(s):

Surface Temperature ◽

Internal Surface ◽

Building Envelope ◽

In Situ Monitoring ◽

Heat Accumulation ◽

Historical Building ◽

External Temperature ◽

Inner Surface ◽

Real Behavior

Abstract Historical building envelope is characterized by a large accumulation that impact is mainly by changing the inner surface temperature over time. The minimum value of the inner surface temperature is set Code requirements. In the case of thermal technology assessment of building envelope contemplates a steady state external temperature and internal environment, thereby neglecting the heat accumulation capacity of building envelopes. Monitoring surface temperature in real terms in situ shows the real behavior of the building envelope close to reality. The recorded data can be used to create a numerical model for the simulation.

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