ESTIMATION OF REMOTE MICROCLIMATES FROM WEATHER STATION DATA WITH APPLICATIONS TO LANDSCAPE ARCHITECTURE |
Posted on:1986-02-15 | Degree:Ph.D | Type:Dissertation |
University:University of Guelph (Canada) | Candidate:BROWN, ROBERT DOUGLAS | Full Text:PDF |
GTID:1470390017960690 | Subject:Physics |
Abstract/Summary: | |
Several components of a system for quantitative application of climatic statistics to landscape planning and design (CLIMACS) have been developed.;A physically-based model (COMFA) was developed for the determination of outdoor human thermal comfort from microclimate inputs. Estimated versus measured comfort levels in a wide range of environments agreed with a correlation coefficient of r = 0.91.;Using these components, the CLIMACS concept has been applied to a typical planning example. Microclimate data were generated from weather station information using MICROSIM, then input to COMFA and to a house energy consumption model called HOTCAN to derive quantitative climatic justification for design decisions.;One component model (MICROSIM) estimated the microclimate at the top of a remote crop using physically-based models and inputs of weather station data. Temperatures at the top of unstressed, uniform crops on flat terrain within 1600 m of a recording weather station were estimated within 1.0 C 96% of the time for a corn crop and 92% of the time for a soybean crop. Crop top winds were estimated within 0.4 m/s 92% of the time for corn and 100% of the time for soybean. This is of sufficient accuracy for application in landscape planning and design models. |
Keywords/Search Tags: | Landscape, Weather station, Planning, Data, Microclimate, Time |
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