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Articles

by Yinghong Qin 1, Jia Liang 1, Kanghao Tan 1, Fanghua Li 2
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Urban structures consist of buildings, roofs, walls and streets. Buildings at both sides of the street create a canyon-like environment that is called urban canyon (UC). In a UC, conventional impervious pavements absorb and store solar radiation but negate the evaporative cooling, contributing to the development of urban heat island (UHI). One popular option to mitigate UHI is to make the pavements more reflective than conventional pavements and to absorb less solar radiation in the urban area. However, it remains unknown if a reflective pavement in an urban canyon can effectively reduce the solar absorption of the urban surfaces. This study prepares ten UC prototypes with differential pavement reflectivity and with south-north orientation, west-east orientation, and cross-street orientation, respectively. The albedo of these UC prototypes is measured by a new method that is proposed to estimate the reflectivity of urban canyon prototypes. It is found that raising the albedo of the pavement is inefficient to increase the albedo of the UC, especially for UC with great aspect ratio. In low aspect-ratio UC or parking lot, reflective pavements reflect a sizable additional diffuse radiation to pedestrians. Therefore, it should be caution to develop reflective pavements as urban cooling strategy.
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Articles

by MOHAMMAD SHAHI FERDOWS 1
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Enhancement of anomaly plays such a critical role in mineral exploration that this work has been carried out by removed noise in geophysical data. Power spectrum area (S-A) and multifractal singular value decomposition (MSVD) methods are application methods in enhancement of anomaly that are usually used in the geochemical exploration process. However, these methods have not been widely used in the geoelectrical data so far. Hamyj deposit is located about 80 kilometers west of Birjand city, South Khorasan province, Iran. In this area, resistivity and induced polarization data have been surveyed by dipole- dipole array. In this paper, IP data has been inversed by the linear method. Then, enhancement of anomaly IP data has been carried out by S-A and MSVD methods. Results of S-A and MSVD methods were compared with each other. Results indicate that the S-A method has determined the location of anomaly IP data better than the MSVD method.
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