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Influential variables were commonly direct measures of moisture in the watershed such as snowmelt, rainfall + snowmelt, and antecedent baseflow, or measures of potential snowmelt volume in the watershed such as air temperature.
The research presented in this paper is part of an ongoing research effort to move away from such comparative or empirical measures of moisture induced damage of asphaltic materials and develop a fundamental approach via a comprehensive energy based computational framework.
Measures of moisture availability, such as relative humidity and vapor pressure deficit, explained more of the variance in fungal abundance and richness than did temperature.
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Soil moisture level measures the amount of moisture in the soil: the lower the deficit, the more water present.
The next process was to measure the amount of moisture by extracting moisture from the tongue surface and measuring the weight of water gain.
To get around that challenge, the researchers focused on the relationship between relative humidity — a measure of moisture in the atmosphere — and clouds.
The ratio of ITS value of conditioned specimens to that of normal specimens is known as tensile strength ratio (TSR), which is a measure of moisture resistance of bituminous mixtures.
Most of these aimed at a comparative measure of moisture damage, either via visual observations from field data or comparative laboratory tests.
The Topographic Wetness Index (TWI: a measure of moisture on the landscape), the Topographic Position Index (TPI: a measure of position on the landscape), and the distance to groundwater (DTG: a measure of the distance from the land surface to the groundwater surface) provided the best set of indicators of orchid habitat.
Wetness is a measure of moisture in soils and vegetation.
However, relative humidity of the air is a good measure of moisture availability [ 13].
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