An improved model for soil surface temperature from air temperature in permafrost regions of Qinghai-Xizang (Tibet) Plateau of China

2016 ◽  
Vol 129 (4) ◽  
pp. 441-451 ◽  
Author(s):  
Guojie Hu ◽  
Xiaodong Wu ◽  
Lin Zhao ◽  
Ren Li ◽  
Tonghua Wu ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Soil Surface ◽  
Tibet Plateau ◽  
Soil Surface Temperature ◽  
Improved Model ◽  
Permafrost Regions

Efficiency of Grasshopper Baits in Relation to Time of Day of Application

1952 ◽  
Vol 84 (5) ◽  
pp. 147-155 ◽  
Author(s):  
R. H. Handford ◽  
L. G. Putnam
Keyword(s):  
Experimental Data ◽  
Surface Temperature ◽  
Air Temperature ◽  
Soil Surface ◽  
Time Of Day ◽  
Rapid Decrease ◽  
The Other ◽  
Feeding Period ◽  
Air Temperatures ◽  
Soil Surface Temperature

Literature on grasshopper control published hetween 1930 and 1942 stressed the desirability of applying poisoned bait when grasshoppers begin their first main feeding period of the day. Such pubiications include those by Parker (1930). Parker, Walton, and Shotwell (1932), Criddle (1932). Ruggles and Aamodt (1938), and Bird (1940). Parker (1930) found that the lesser migratory grasshopper, Melanoplus mexicanus mexicanus (Sauss.), fed sparingly on baits at air temperatures between 55°F. and 63°F., more actively between 64°F. and 67°F., and most actively between 68°F. and 78°F. A rapid decrease in feeding occurred when air temperature rose above 80°F. or the soil surface temperature above 113°F. Much the same relationship held also for the clear-winged grasshopper, Cammula pellucida (Scudd.). On the basis of such observations it was decided chat an air temperature of 68°F. might be classed as optimum for beginning the application of bait. Parker did not, however, indicate the degree of mortality resulting from such feeding; the other writers gave no experimental data.

scholarly journals Daily course of the soil temperature in summer in chosen ecosystems of Słowiński National Park, northern Poland

2010 ◽  
Vol 29 (1) ◽  
pp. 5-12 ◽  
Author(s):  
Ewa Bednorz ◽  
Leszek Kolendowicz
Keyword(s):  
Solar Radiation ◽  
Surface Temperature ◽  
Soil Temperature ◽  
Air Temperature ◽  
National Park ◽  
Soil Surface ◽  
Global Solar Radiation ◽  
Northern Poland ◽  
Soil Surface Temperature ◽  
Solar Energy Flux

Daily course of the soil temperature in summer in chosen ecosystems of Słowiński National Park, northern Poland Patterns of the daily changes of the soil temperature in summer at three different ecosystems within the Słowiński National Park were analyzed. Strong correlation between the solar radiation and the soil temperature was found, particularly for the bare sandy surfaces, while the plant and humus cover hampers the solar energy flux to the soil. In the same way, correlations between the temperature of soil surface and the air temperature were computed. Finally, logarithmic models for the relationship between the global solar radiation and the soil surface temperature and between the soil surface temperature and the air temperature were constructed.

scholarly journals Autumnal Beach Litter Identification by Mean of Using Ground-Based IR Thermography

Environments ◽  
2021 ◽  
Vol 8 (5) ◽  
pp. 37
Author(s):  
Cosimo Cagnazzo ◽  
Ettore Potente ◽  
Hervé Regnauld ◽  
Sabino Rosato ◽  
Giuseppe Mastronuzzi
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Sandy Soil ◽  
Plastic Material ◽  
Anthropogenic Activities ◽  
Soil Surface ◽  
Ir Thermography ◽  
Environmental Matrices ◽  
Beach Litter ◽  
Soil Surface Temperature

The progress of scientific research and technological innovation are contributing to an increase in the use of rapid systems for monitoring and identifying geo-environmental processes related to natural and/or anthropogenic activities. The aim of this study is identifying autumnal beach litter using ground-based IR thermography. Starting from quarterly autumn monitoring data of air temperature and sandy soil surface temperature, an empirical equation between the two environmental matrices (air and sandy soil) is obtained. This will allow the calculation of the sandy soil surface temperature knowing only the air temperature. Therefore, it will be possible to know in advance the thermal response of the sandy soil, thus creating a thermal blank of the beach. Using an IR thermal camera, it is possible for a quicker identification of thermal anomalies of the coastal area potentially connected to the presence of pollution due to the anthropogenic origin (particularly plastic material). The test area is located in the area of the Coastal Dunes Regional Natural Park of Ostuni–Fasano in Apulia (southern Italy).

Using soil surface temperature to assess soil evaporation in a drip irrigated vineyard

2013 ◽  
Vol 116 ◽  
pp. 128-141 ◽  
Author(s):  
B.L. Kerridge ◽  
J.W. Hornbuckle ◽  
E.W. Christen ◽  
R.D. Faulkner
Keyword(s):  
Surface Temperature ◽  
Soil Surface ◽  
Soil Evaporation ◽  
Soil Surface Temperature

scholarly journals Determination of the united quality latent index of adaptability (UQLIA) and contribution of some environmental parameters to it for Deschampsia antarctica populations, Galindez island (Maritime Antarctic) season 2017/2018

2019 ◽  
Vol 16 (2) ◽  
pp. 190-202
Author(s):  
I. Y. Parnikoza ◽  
N. Y. Miryuta ◽  
V. Y. Ivanets ◽  
E. O. Dykyi
Keyword(s):  
Surface Temperature ◽  
Pairwise Comparison ◽  
Environmental Parameters ◽  
Soil Surface ◽  
Deschampsia Antarctica ◽  
Near Surface ◽  
Soil Surface Temperature ◽  
Experimental Populations ◽  
The Individual

The purpose of our work has been to determine the indicator of complex adaptability — the United Quality Latent Index of Adaptability (UQLIA) for the experimental populations of Deschampsia antarctica É. Desv. and study the contribution to it of some environmental factors such as the near soil surface temperature and organogens content. Materials and methods. The determination of UQLIA was based on a pairwise comparison of the differences between investigated parameters of populations by mathematical regression techniques. The soil surface temperature was measured by loggers installed near plants in each locus during April 2017 – April 2018. Results and conclusions. Temperature fluctuations were described during December 2017 – February 2018 for twelve experimental populations of D. antarctica and one control fragment of moss turf subformation from Galindez Island. Significant variations in average daily near surface temperature were observed during the study period between populations, especially in December and January. The UQLIA of D. antarctica for this season was calculated on the basis of the projective cover, biometric indices of generative plants and the content of protective and reserve proteins in seeds for the eleven populations. The values of the United Soil Surface Temperature Influence Index (UTII) for the season summer months and the United Organogens Content in Soil Influence Index (UOCSII) have been calculated for the individual parameters of D. antarctica plants adaptability. The reliable contribution of UTII to ULIA has been shown for December and January, at the moment of the greatest variation of soil surface temperature. UOCSII provided a reliable contribution to the ULIA only in the amount of UTII. Keywords: Deschampsia antarctica, United Quality Latent Index of Adaptability (UQLIA), contribution of soil surface temperature and organogens content to complex adaptability.

scholarly journals Two-Dimensional Spectral Analysis of Soil Surface Temperature

Hilgardia ◽  
1988 ◽  
Vol 56 (3) ◽  
pp. 1-28 ◽  
Author(s):  
M. Bazza ◽  
R. H. Shumway ◽  
D. R. Nielsen
Keyword(s):  
Spectral Analysis ◽  
Surface Temperature ◽  
Soil Surface ◽  
Two Dimensional ◽  
Soil Surface Temperature

Partitioning evapotranspiration in semiarid grassland and shrubland ecosystems using time series of soil surface temperature

2009 ◽  
Vol 149 (1) ◽  
pp. 59-72 ◽  
Author(s):  
M.S. Moran ◽  
R.L. Scott ◽  
T.O. Keefer ◽  
W.E. Emmerich ◽  
M. Hernandez ◽  
...  
Keyword(s):  
Time Series ◽  
Surface Temperature ◽  
Soil Surface ◽  
Semiarid Grassland ◽  
Soil Surface Temperature

Analytical Model to Predict Annual Soil Surface Temperature Variation

1995 ◽  
Vol 117 (2) ◽  
pp. 91-99 ◽  
Author(s):  
M. Krarti ◽  
C. Lopez-Alonzo ◽  
D. E. Claridge ◽  
J. F. Kreider
Keyword(s):  
Surface Temperature ◽  
Analytical Model ◽  
Annual Variation ◽  
Soil Surface ◽  
Weather Data ◽  
Phase Lag ◽  
Model Predictions ◽  
Soil Thermal Properties ◽  
Soil Surface Temperature ◽  
Surface Temperature Variation

An analytical model is developed to predict the annual variation of soil surface temperature from readily available weather data and soil thermal properties. The time variation is approximated by a first harmonic function characterized by an average, an amplitude, and a phase lag. A parametric analysis is presented to determine the effect of various factors such as evaporation, soil absorptivity, and soil convective properties on soil surface temperature. A comparison of the model predictions with experimental data is presented. The comparative analysis indicates that the simplified model predicts soil surface temperatures within ten percent of measured data for five locations.

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