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Dive into the research topics where Jiyun Song is active.

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Featured researches published by Jiyun Song.


Remote Sensing | 2016

Spatio-Temporal Modeling of the Urban Heat Island in the Phoenix Metropolitan Area: Land Use Change Implications

Chuyuan Wang; Soe W. Myint; Zhi Hua Wang; Jiyun Song

This study examines the spatial and temporal patterns of the surface urban heat island (SUHI) intensity in the Phoenix metropolitan area and the relationship with land use land cover (LULC) change between 2000 and 2014. The objective is to identify specific regions in Phoenix that have been increasingly heated and cooled to further understand how LULC change influences the SUHI intensity. The data employed include MODerate-resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) 8-day composite June imagery, and classified LULC maps generated using 2000 and 2014 Landsat imagery. Results show that the regions that experienced the most significant LST changes during the study period are primarily on the outskirts of the Phoenix metropolitan area for both daytime and nighttime. The conversion to urban, residential, and impervious surfaces from all other LULC types has been identified as the primary cause of the UHI effect in Phoenix. Vegetation cover has been shown to significantly lower LST for both daytime and nighttime due to its strong cooling effect by producing more latent heat flux and less sensible heat flux. We suggest that urban planners, decision-makers, and city managers formulate new policies and regulations that encourage residential, commercial, and industrial developers to include more vegetation when planning new construction.


Boundary-Layer Meteorology | 2015

Interfacing the Urban Land–Atmosphere System Through Coupled Urban Canopy and Atmospheric Models

Jiyun Song; Zhi Hua Wang

We couple a single column model (SCM) to a cutting-edge single-layer urban canopy model (SLUCM) with realistic representation of urban hydrological processes. The land-surface transport of energy and moisture parametrized by the SLUCM provides lower boundary conditions to the overlying atmosphere. The coupled SLUCM–SCM model is tested against field measurements of sensible and latent heat fluxes in the surface layer, as well as vertical profiles of temperature and humidity in the mixed layer under convective conditions. The model is then used to simulate urban land–atmosphere interactions by changing urban geometry, surface albedo, vegetation fraction and aerodynamic roughness. Results show that changes of landscape characteristics have a significant impact on the growth of the boundary layer as well as on the distributions of temperature and humidity in the mixed layer. Overall, the proposed numerical framework provides a useful stand-alone modelling tool, with which the impact of urban land-surface conditions on the local hydrometeorology can be assessed via land–atmosphere interactions.


Journal of Geophysical Research | 2017

Biospheric and anthropogenic contributors to atmospheric CO2 variability in a residential neighborhood of Phoenix, Arizona

Jiyun Song; Zhi Hua Wang; Chenghao Wang

Urban environment contributes significantly to the global carbon cycle with complex governing mechanisms due to the combined biospheric and anthropogenic contributors. In this study, we analyzed the patterns of boundary-layer CO2 flux and concentration for a residential neighborhood in Phoenix, Arizona using the eddy covariance technique and a single column atmospheric model. Atmospheric stability, anthropogenic emission, and biogenic effect are found to be key determinants to atmospheric CO2 variability. In a diurnal cycle, two CO2 flux peaks coincide with morning and afternoon peak traffic hours, exemplifying the influence of traffic emissions. In the annual cycle, maximum CO2 concentration is found in winter, mainly due to additional emission from the combustion of natural gas combined with the effect of poor dispersion. On the other hand, the minimum CO2 concentration is found in the spring, and is attributable to the strong convective mixing and active vegetation uptake. In addition, prominent hysteresis has been found between the atmospheric CO2 concentration and air temperature with a ‘plait-shaped’ pattern in the diurnal cycle and an ‘oval-shaped’ loop for the seasonal variability.


Building Research and Information | 2018

Natural ventilation in cities: the implications of fluid mechanics

Jiyun Song; S. Fan; W. Lin; L. Mottet; H. Woodward; M. Davies Wykes; R. Arcucci; D. Xiao; J.-E. Debay; H.M. ApSimon; E. Aristodemou; David M. Birch; M Carpentieri; F. Fang; M. Herzog; G. R. Hunt; Roderic L. Jones; Christopher C. Pain; D. Pavlidis; Alan Robins; C. A. Short; P. F. Linden

ABSTRACT Research under the Managing Air for Green Inner Cities (MAGIC) project uses measurements and modelling to investigate the connections between external and internal conditions: the impact of urban airflow on the natural ventilation of a building. The test site was chosen so that under different environmental conditions the levels of external pollutants entering the building, from either a polluted road or a relatively clean courtyard, would be significantly different. Measurements included temperature, relative humidity, local wind and solar radiation, together with levels of carbon monoxide (CO) and carbon dioxide (CO2) both inside and outside the building to assess the indoor–outdoor exchange flows. Building ventilation took place through windows on two sides, allowing for single-sided and crosswind-driven ventilation, and also stack-driven ventilation in low wind conditions. The external flow around the test site was modelled in an urban boundary layer in a wind tunnel. The wind tunnel results were incorporated in a large-eddy-simulation model, Fluidity, and the results compared with monitoring data taken both within the building and from the surrounding area. In particular, the effects of street layout and associated street canyons, of roof geometry and the wakes of nearby tall buildings were examined.


Journal of Geographical Sciences | 2018

Characteristics of dry-wet abrupt alternation events in the middle and lower reaches of the Yangtze River Basin and the relationship with ENSO

Lijie Shan; Liping Zhang; Jiyun Song; Yanjun Zhang; Dunxian She; Jun Xia

During recent decades, more frequent flood-drought alternations have been seen in China as a result of global climate change and intensive human activities, which have significant implications on water and food security. To better identify the characteristics of flood-drought alternations, we proposed a modified dry-wet abrupt alternation index (DWAAI) and applied the new method in the middle and lower reaches of the Yangtze River Basin (YRB-ML) to analyze the long-term spatio-temporal characteristics of dry-wet abrupt alternation (DWAA) events based on the daily precipitation observations at 75 rainfall stations in summer from 1960 to 2015. We found that the DWAA events have been spreading in the study area with higher frequency and intensity since 1960. In particular, the DWAA events mainly occurred in May and June in the northwest of the YRB-ML, including Hanjiang River Basin, the middle reaches of the YRB, north of Dongting Lake and northwest of Poyang Lake. In addition, we also analyzed the impact of El Niño Southern Oscillation (ENSO) on DWAA events in the YRB-ML. The results showed that around 41.04% of DWAA events occurred during the declining stages of La Niña or within the subsequent 8 months after La Niña, which implies that La Niña events could be predictive signals of DWAA events. Besides, significant negative correlations have been found between the modified DWAAI values of all the rainfall stations and the sea surface temperature anomalies in the Nino3.4 region within the 6 months prior to the DWAA events, particularly for the Poyang Lake watershed and the middle reaches of the YRB. This study has significant implications on the flood and drought control and water resources management in the YRB-ML under the challenge of future climate change.


Building Research and Information | 2018

Challenges in the low-carbon adaptation of China’s apartment towers

C. Alan Short; Jiyun Song; Laetitia Mottet; Shuqin Chen; Jindong Wu; Jian Ge

ABSTRACT Low-carbon building retrofit will contribute to delivering China’s policy to reduce carbon emissions. This paper proposes viable low-carbon adaptation strategies for a recurrent building type within the Hot Summer and Cold Winter (HSCW) zone. An existing 23-storey tower in Hangzhou is investigated within the context of a representative city environment. Indoor air temperatures and energy consumption were monitored across a typical floor and simulated in EnergyPlus. Outdoor and indoor airflow patterns were modelled in an advanced computational fluid dynamics (CFD) tool, FLUIDITY. Across a typical floor, observations and modelling show marked variations. South-facing flats overheat significantly in summer largely due to solar radiation. External sun-shading structures are proposed and evaluated to counter summer overheating. An innovative wind catcher and exhaust-stack natural ventilation system is proposed to enhance indoor thermal comfort using natural ventilation. Modelling of this integrated ventilation system indicates that the proposed retrofit system will improve indoor thermal comfort even in the lower floors. The proposed building retrofit strategy is costed using locally established construction cost estimates. Predicted energy savings suggest that the adaptation strategy proposed is potentially viable with significant implications for policy-makers, developers, constructors and designers in this challenging climate zone in China.


Applied Energy | 2016

Cooling and energy saving potentials of shade trees and urban lawns in a desert city

Zhi Hua Wang; Xiaoxi Zhao; Jiachuan Yang; Jiyun Song


Building and Environment | 2015

Impacts of mesic and xeric urban vegetation on outdoor thermal comfort and microclimate in Phoenix, AZ

Jiyun Song; Zhi Hua Wang


Environmental Research Letters | 2016

Diurnal changes in urban boundary layer environment induced by urban greening

Jiyun Song; Zhi Hua Wang


Atmospheric Chemistry and Physics | 2016

Evaluating the impact of built environment characteristics on urban boundary layer dynamics using an advanced stochastic approach

Jiyun Song; Zhi Hua Wang

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Zhi Hua Wang

Arizona State University

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Chenghao Wang

Arizona State University

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Chuyuan Wang

Arizona State University

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Jiachuan Yang

Arizona State University

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Soe W. Myint

Arizona State University

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Gilad Arwatz

Arizona State University

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