Wind speed changes and its influencing factors in Southwestern China

In this paper, an office building's indoor environmental parameters in winter are tested and its comfort and its influencing factors are analyzed. The study used a thermal comfort equipment to obtain parameters including dry bulb temperature, wet bulb temperature, black ball temperature, relative humidity and wind speed. Then these parameters are available to calculate PMV-PPD. The results showed that the range of PMV mean value is from-0.83 to 0.58 and the range of PPD mean value is from 8 % to 22 %.

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Assessment of the Factors Influencing Sulfur Dioxide Emissions in Shandong, China

Atmosphere ◽

10.3390/atmos13010142 ◽

2022 ◽

Vol 13 (1) ◽

pp. 142

Author(s):

Huisheng Wu ◽

Shan Hong ◽

Maogui Hu ◽

Yongheng Li ◽

Wenzheng Yun

Keyword(s):

Wind Speed ◽

Sulfur Dioxide ◽

Influencing Factors ◽

Secondary Production ◽

Diurnal Temperature Range ◽

Meteorological Factors ◽

Diurnal Temperature ◽

Temperature Range ◽

Significant Difference ◽

Soot Emissions

Sulfur dioxide (SO2) is a serious air pollutant emitted from different sources in many developing regions worldwide, where the contribution of different potential influencing factors remains unclear. Using Shandong, a typical industrial province in China as an example, we studied the spatial distribution of SO2 and used geographical detectors to explore its influencing factors. Based on the daily average concentration in Shandong Province from 2014 to 2019, we explored the influence of the diurnal temperature range, secondary production, precipitation, wind speed, soot emission, sunshine duration, and urbanization rate on the SO2 concentration. The results showed that the diurnal temperature range had the largest impact on SO2, with q values of 0.69, followed by secondary production (0.51), precipitation (0.46), and wind speed (0.42). There was no significant difference in the SO2 distribution between pairs of sunshine durations, soot emissions, and urbanization rates. The meteorological factors of precipitation, wind speed, and diurnal temperature range were sensitive to seasonal changes. There were nonlinear enhancement relationships among those meteorological factors to the SO2 pollution. There were obvious geographical differences in the human activity factors of soot emissions, secondary production, and urbanization rates. The amount of SO2 emissions should be adjusted in different seasons considering the varied effect of meteorological factors.

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Prevalence and influencing factors of depression of caregivers in children with epilepsy in southwestern China: a cross-sectional study

Medicine ◽

10.1097/md.0000000000023571 ◽

2021 ◽

Vol 100 (10) ◽

pp. e23571

Author(s):

Chunsong Yang ◽

Tang Yao ◽

Yuanlong Huang ◽

Li Zhao ◽

Lingli Zhang

Keyword(s):

Influencing Factors ◽

Cross Sectional Study ◽

Southwestern China ◽

Sectional Study ◽

Cross Sectional

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Spatial and Temporal Variation of Wind Speed in Southwestern China

Study on Climate Change in Southwestern China - Springer Theses ◽

10.1007/978-3-662-44742-0_6 ◽

2014 ◽

pp. 169-197

Author(s):

Zongxing Li

Keyword(s):

Wind Speed ◽

Temporal Variation ◽

Southwestern China ◽

Spatial And Temporal Variation

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Increase in Surface Friction Dominates the Observed Surface Wind Speed Decline during 1973–2014 in the Northern Hemisphere Lands

Journal of Climate ◽

10.1175/jcli-d-18-0691.1 ◽

2019 ◽

Vol 32 (21) ◽

pp. 7421-7435 ◽

Cited By ~ 6

Author(s):

Zhengtai Zhang ◽

Kaicun Wang ◽

Deliang Chen ◽

Jianping Li ◽

Robert Dickinson

Keyword(s):

Wind Speed ◽

Atmospheric Circulation ◽

Influencing Factors ◽

Northern Hemisphere ◽

Surface Wind ◽

Surface Friction ◽

Surface Wind Speed ◽

Urbanization Effect ◽

Turbulent Friction ◽

Novel Approach

Abstract During 1973–2014, a reduction trend in the observed surface wind speed (10 m) in the Northern Hemisphere lands has been widely reported; this reduction is referred to as “global stilling.” The primary determining factors of global stilling include atmospheric circulation, turbulent friction, and surface friction when ignoring the vertical influencing factors. Most of the existing studies on the attribution of global stilling do not take changing surface friction into account. In addition, there are other changes in the climate system, such as aerosol loading, which could have an impact on atmospheric circulation, but are not included in the majority of current models either. Here, we developed a novel approach based on modeled winds calculated from sea level pressure observations and applied the method to approximately 4000 weather stations in the Northern Hemisphere lands from 1973 to 2014 to attribute the stilling in the three factors. In our methods, we neglected the vertical influencing factors on surface wind speed but took the aerosols’ changes on atmospheric circulation and gradual urbanization effect on surface wind speed into account. We found that atmospheric circulation has dictated the monthly variation in surface wind speed during the past four decades. However, the increased surface friction dominates the long-term declining trend of wind stilling. Our studies had uncertainties while neglecting the influence of vertical factors on surface wind stilling, despite most of the existing studies showing their effect was minor compared to the three factors explored in our study.

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Quantitative Analysis of the Influencing Factors and Their Interactions in Runoff Generation in a Karst Basin of Southwestern China

Water ◽

10.3390/w12102898 ◽

2020 ◽

Vol 12 (10) ◽

pp. 2898

Author(s):

Wenjuan Hou ◽

Jiangbo Gao ◽

Shaohong Wu

Keyword(s):

Quantitative Analysis ◽

Influencing Factors ◽

Southwestern China ◽

Dominant Factor ◽

Comprehensive Treatment ◽

Runoff Generation ◽

Mountain Regions ◽

Rocky Desertification ◽

Factors Influencing ◽

Geological Conditions

The unique geological conditions of karst regions create highly heterogeneous habitat characteristics, and the addition of human disturbance results in rocky desertification. Water and soil loss are the core questions, and moreover, runoff is the key factor in this process. To further investigate these problems, a typical karst peak cluster depression in southwestern China was selected for this study. Based on the optimal simulation of the runoff yield and flow in this area, the factor detectors and interaction detectors in the geographical detector method were used to quantitatively analyze the factors influencing runoff and their interactions for different geomorphic types. The results show that: (1) the three main factors influencing the total river runoff, surface runoff, and groundwater are landscape fragmentation, land use type, and precipitation, but the ranking of these main influencing factors in each geomorphic type region exists different; (2) the dominant factor in the relatively higher elevation regions is precipitation; (3) the interaction detector results reveal that the interactions between factors enhance the overall influence of a single factor on the runoff generation in all of the geomorphic type regions, including two interaction types of nonlinear enhancement and bifactor enhancement; and (4) the interactions between the factors in the middle elevation plain, middle elevation terrace, and middle relief mountain regions are stronger than those in the middle elevation hill and small relief mountain regions. Quantitative analysis of the factors influencing runoff in karst areas cannot only promote optimization of the water and soil services, but it also provides a scientific basis for improving the comprehensive treatment of rocky desertification.

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