Study On Thermal Comfort Evaluation Of Slow Waterfront Of Hunhe River In Shenyang

In recent years,due to global warming,the phenomenon of high temperature in t he city has intensified,and the problem of outdoor thermal comfort has received more and more attention.The quality of the thermal environment directly affects people's d aily travel health.In order to provide citizens with a comfortable and healthy outdoor environment and enrich the city's slow-moving transportation system,Shenyang City has built a riverside slow channel,attracting many citizens to come for a walk and to ur.Due to its unique geographical advantages,the waterfront slow channel forms a mi croclimate environment that is different from other green spaces and has a good cooli ng and humidifying effect.Therefore,studying the thermal comfort variation law of th e Weihe Riverside slow channel,and the relationship between subjective thermal reacti on voting and objective meteorological parameters have certain reference significance f or future landscape planning.This paper conducted on-the-spot measurements on the waterfront slow channel an d the Wulin Square in the Shenshuiwan Park area of the Shenyang Riverside Waterwa y,including air temperature,relative humidity,wind speed and solar radiation,and obt ained a series of objective data affecting thermal comfort conditions.At the same time,questionnaires were randomly distributed to pedestrians on the waterfront slow channe l,and the subjective thermal sensation voting data on thermal comfort was obtained.A total of 409 valid questionnaires were obtained.By analyzing the actual data obtained,the following results were obtained:(1)Fro m the temperature point of view,the temperature trend of the forest-free open space a nd the forest under the ground is roughly similar,the temperature is raised first and t hen decreased,reaching the highest temperature at 14 o'clock in the afternoon.In the summer day,the temperature difference between the two places is the highest at 12 n oon,reaching 3.72°C;in autumn,the temperature difference is the highest at 8 am,3.74°C.In terms of humidity,the trend of the two places is opposite to the tempe rature,reaching a minimum at 14 o'clock in the afternoon.In the summer,the underg rowth is 3.84%higher than the forestless open space,and the average in autumn is 1.17%.From the perspective of solar radiation,the average difference of solar radiation at two observation points in different seasons is 220.13 W/m~2 in summer and 143.29W/m~2 in autumn.Both the forest-free open space and the under-forest open space are stronger in the daytime than in the morning and evening,and the wind in the autum n is stronger than in the summer.When the two observation sites are in the same sea son,the wind in the undergrowth is stronger.(2)In thermal comfort votes,summer di scomfort dependson theheat sensation,while autumn discomfort depends on the cold s ensation.The thermal sensation and thermal comfort have a quadratic curve fitting rel ationship,and the most comfortable thermal sensations in summer and autumn are-1.2and-0.08.(3)According to the relationship between meteorological parameters and e xpected voting,the air temperature has a significant relationship with each expected v ote.The air temperature and solar radiation expectations are highly correlated and neg atively correlated(correlation coefficient-0.851),and the wind speed expectation is po sitive.Correlation(correlation coefficient 0.829),relative humidity and temperature exp ected to be negatively correlated(correlation coefficient-0.396),and positively correlat ed with wind speed(correlation coefficient 0.334).The thermal sensation and various meteorological parameters were subjected to multiple linear regression to establish the thermal sensation prediction equation for summer and autumn.Summer:TSV=0.098Ta-0.001Rh+0.00011Sr-0.626Ws-1.186,R2=0.627;Autumn:TSV=0.059Ta-0.009Rh+0.00041Sr-0.306Ws-1.261,R2=0.635.(4)By analyzing the relationship between the UTCI index,TSVmodel and thermal sensation voting,it is found that the thermal and thermal sens ation criteria given by UTCI are more accurate for the thermalcomfort prediction of th e experimental area.