Multi-scale impacts of 2D/3D urban building pattern in intra-annual thermal environment of Hangzhou, China

To consider the deformation of thin rectangular plate under temperature. In this paper, the wavelet multi-scale method was used to solve the thin plate governing differential equations with four different initial or boundary conditions. An operational matrix of integration based on the wavelet was established and the procedure for applying the matrix to solve the differential equations was formulated, and got the deflection of thin rectangular plates under temperature. The result provides a theoretical reference for solving thin rectangular plate deflection in thermal environment using multi-scale approach.

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Multi-scale effects of urban agglomeration on thermal environment: A case of the Yangtze River Delta Megaregion, China

The Science of The Total Environment ◽

10.1016/j.scitotenv.2020.136556 ◽

2020 ◽

Vol 713 ◽

pp. 136556 ◽

Cited By ~ 3

Author(s):

Weifeng Li ◽

Chunmeng Han ◽

Wenjun Li ◽

Weiqi Zhou ◽

Lijian Han

Keyword(s):

Yangtze River ◽

Thermal Environment ◽

Scale Effects ◽

Yangtze River Delta ◽

River Delta ◽

Urban Agglomeration ◽

The Yangtze River ◽

Multi Scale ◽

The Yangtze River Delta

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A multi-scale view of skin thermal pain: from nociception to pain sensation

Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rsta.2009.0234 ◽

2010 ◽

Vol 368 (1912) ◽

pp. 521-559 ◽

Cited By ~ 24

Author(s):

Y. J. Zhu ◽

T. J. Lu

Keyword(s):

Thermal Environment ◽

Skin Tissue ◽

Engineering System ◽

Thermal Treatments ◽

Pain Sensation ◽

Biological Behaviour ◽

Thermal Pain ◽

Multi Scale ◽

Scale Modelling ◽

Underlying Mechanisms

All biological bodies live in a thermal environment, including the human body, where skin is the interface with a protecting function. When the temperature is out of the normal physiological range, skin fails to protect, and the pain sensation is evoked. Furthermore, in medicine, with advances in laser, microwave and similar technologies, various thermal therapeutic methods have been widely used to cure disease/injury involving skin tissue. However, the corresponding problem of pain relief has limited further application and development of these thermal treatments. Skin thermal pain is induced through both direct (i.e. an increase/decrease in temperature) and indirect (e.g. thermomechanical and thermochemical) ways, and is governed by complicated thermomechanical–chemical–neurophysiological responses. However, a complete understanding of the underlying mechanisms is still far from clear. In this article, starting from an engineering perspective, we aim to recast the biological behaviour of skin in engineering system parlance. Then, by coupling the concepts of engineering with established methods in neuroscience, we attempt to establish multi-scale modelling of skin thermal pain through ion channel to pain sensation. The model takes into account skin morphological plausibility, the thermomechanical response of skin tissue and the biophysical and neurological mechanisms of pain sensation.

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Multi-Scale Relationship between Land Surface Temperature and Landscape Pattern Based on Wavelet Coherence: The Case of Metropolitan Beijing, China

Remote Sensing ◽

10.3390/rs11243021 ◽

2019 ◽

Vol 11 (24) ◽

pp. 3021 ◽

Cited By ~ 4

Author(s):

Qiong Wu ◽

Jinxiang Tan ◽

Fengxiang Guo ◽

Hongqing Li ◽

Shengbo Chen

Keyword(s):

Landscape Pattern ◽

Land Surface ◽

Spatial Configuration ◽

Thermal Environment ◽

Pearson Correlation ◽

Landscape Composition ◽

Wavelet Coherence ◽

Multi Scale ◽

Urban Thermal Environment ◽

The Relationship

The relationship between urban landscape pattern and land surface temperature (LST) is one of the core issues in urban thermal environment research. Although previous studies have shown a significant correlation between LST and landscape pattern, most were conducted at a single scale and rarely involve multi-scale effects of the landscape pattern. Wavelet coherence can relate the correlation between LST and landscape pattern to spatial scale and location, which is an effective multi-scale correlation method. In this paper, we applied wavelet coherence and Pearson correlation coefficient to analyze the multi-scale correlations between landscape pattern and LST, and analyzed the spatial pattern of the urban thermal environment during the urbanization of Beijing from 2004 to 2017 by distribution index of high-temperature center (HTC). The results indicated that the HTC of Beijing gradually expands from the main urban zone and urban function extended zone to the new urban development zone and far suburb zone, and develops from monocentric to polycentric spatial pattern. Land cover types, such as impervious surfaces and bare land, have a positive contribution to LST, while water and vegetation play a role in mitigating LST. The wavelet coherence and Pearson correlation coefficients showed that landscape composition and spatial configuration have significant effects on LST, but landscape composition has a greater effect on LST in Beijing metropolitan area. Landscape composition indexes (NDBI and NDVI) showed significant multi-scale characteristics with LST, especially at larger scales, which has a strong correlation on the whole transect. There was no significant correlation between the spatial configuration indexes (CONTAG, DIVISION, and LSI) and LST at smaller scales, only at larger scales near the urban area has a significant correlation. With the increase of the scale, Pearson correlation coefficient calculated by spatial rectangle sampling and wavelet coherence coefficient have the same trend, although it had some fluctuations in several locations. However, the wavelet coherence coefficient diagram was smoother and less affected by position and rectangle size, which more conducive to describe the correlation between landscape pattern index and LST at different scales and locations. In general, wavelet coherence provides a multi-scale method to analyze the relationship between landscape pattern and LST, helping to understand urban planning and land management to mitigate the factors affecting urban thermal environment.

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