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| 1 | Constraining Anthropogenic CH_4 Emissions in Nanjing and the Yangtze River Delta,China,Using Atmospheric CO_2 and CH_4 Mixing Ratios显示文摘Methane(CH_4) emissions estimated with the Intergovernmental Panel on Climate Change(IPCC) inventory method at the city and regional scale are subject to large uncertainties. In this study, we determined the CH_4:CO_2emissions ratio for both Nanjing and the Yangtze River Delta(YRD), using the atmospheric CH_4 and CO_2concentrations measured at a suburban site in Nanjing in the winter. The atmospheric estimate of the CH_4:CO_2emissions ratio was in reasonable agreement with that calculated using the IPCC method for the YRD(within 20%), but was 200% greater for the municipality of Nanjing. The most likely reason for the discrepancy is that emissions from unmanaged landfills are omitted from the official statistics on garbage production. | SHEN Shuanghe YANG Dong XIAO Wei LIU Shoudong Xuhui LEE | 2014 | Advances in Atmospheric Sciences2014，31，6： | 6 |
| 2 | Diurnal and Seasonal Variations of Thermal Stratification and Vertical Mixing in a Shallow Fresh Water Lake显示文摘Among several influential factors, the geographical position and depth of a lake determine its thermal structure. In temperate zones, shallow lakes show significant differences in thermal stratification compared to deep lakes. Here,the variation in thermal stratification in Lake Taihu, a shallow fresh water lake, is studied systematically. Lake Taihu is a warm polymictic lake whose thermal stratification varies in short cycles of one day to a few days. The thermal stratification in Lake Taihu has shallow depths in the upper region and a large amplitude in the temperature gradient,the maximum of which exceeds 5°C m–1. The water temperature in the entire layer changes in a relatively consistent manner. Therefore, compared to a deep lake at similar latitude, the thermal stratification in Lake Taihu exhibits small seasonal differences, but the wide variation in the short term becomes important. Shallow polymictic lakes share the characteristic of diurnal mixing. Prominent differences on the duration and frequency of long-lasting thermal stratification are found in these lakes, which may result from the differences of local climate, lake depth, and fetch. A prominent response of thermal stratification to weather conditions is found, being controlled by the stratifying effect of solar radiation and the mixing effect of wind disturbance. Other than the diurnal stratification and convection, the representative responses of thermal stratification to these two factors with contrary effects are also discussed. When solar radiation increases, stronger wind is required to prevent the lake from becoming stratified. A daily average wind speed greater than 6 m s–1 can maintain the mixed state in Lake Taihu. Moreover, wind-induced convection is detected during thermal stratification. Due to lack of solar radiation, convection occurs more easily in nighttime than in daytime. Convection occurs frequently in fall and winter, whereas long-lasting and stable stratification causes less convection in summer. | Yichen YANG Yongwei WANG Zhen ZHANG Wei WANG Xia REN Yaqi GAO Shoudong LIU Xuhui LEE | 2018 | Journal of Meteorological Research2018，32，2： | 3 |
| 3 | Seasonal Variations of CH_4 Emissions in the Yangtze River Delta Region of China Are Driven by Agricultural Activities显示文摘Developed regions of the world represent a major atmospheric methane(CH_4) source,but these regional emissions remain poorly constrained.The Yangtze River Delta(YRD) region of China is densely populated(about 16% of China's total population) and consists of large anthropogenic and natural CH_4 sources.Here,atmospheric CH_4 concentrations measured at a 70-m tall tower in the YRD are combined with a scale factor Bayesian inverse(SFBI) modeling approach to constrain seasonal variations in CH_4 emissions.Results indicate that in 2018 agricultural soils(AGS,rice production) were the main driver of seasonal variability in atmospheric CH_4 concentration.There was an underestimation of emissions from AGS in the a priori inventories(EDGAR—Emissions Database for Global Atmospheric Research v432 or v50),especially during the growing seasons.Posteriori CH_4 emissions from AGS accounted for 39%(4.58 Tg,EDGAR v432) to 47%(5.21 Tg,EDGAR v50) of the total CH_4 emissions.The posteriori natural emissions(including wetlands and water bodies) were1.21 Tg and 1.06 Tg,accounting for 10.1%(EDGAR v432) and 9.5%(EDGAR v50) of total emissions in the YRD in2018.Results show that the dominant factor for seasonal variations in atmospheric concentration in the YRD was AGS,followed by natural sources.In summer,AGS contributed 42%(EDGAR v432) to 64%(EDGAR v50) of the CH_4 concentration enhancement while natural sources only contributed about 10%(EDGAR v50) to 15%(EDGAR v432).In addition,the newer version of the EDGAR product(EDGAR v50) provided more reasonable seasonal distribution of CH_4 emissions from rice cultivation than the old version(EDGAR v432). | Wenjing HUANG Timothy JGRIFFIS Cheng HU Wei XIAO Xuhui LEE | 2021 | Advances in Atmospheric Sciences2021，38，9： | 2 |
| 4 | Water vapor and precipitation isotope ratios in Beijing, China显示文摘 | Wen Xue-Fa Zhang Shi-Chun Sun Xiao-Min Yu Gui-Rui Lee Xuhui | 2010 | Journal of Geophysical Research. Atmospheres2010，，1： | 2 |
| 5 | Forest-Air Fluxes Of Carbon, Water And Energy Over Non-Flat Terrain显示文摘 | Xuhui Lee Xinzhang Hu | 2002 | Boundary-Layer Meteorology2002，，2： | 1 |
| 6 | Forest-air fluxes of carbon, water and energy, over non-flat terrain 显示文摘 | Lee Xuhui Hu Xinzhang | 2002 | Boundary-Layer Meteorol2002，103，2： | 1 |
| 7 | Water vapor and precipitation isotope ratios in Beijing, China显示文摘 | Wen Xue-Fa Zhang Shi-Chun Sun Xiao-Min Yu Gui-Rui Lee Xuhui | 2010 | Journal of Geophysical Research Atmospheres2010，，1： | 1 |
| 8 | Rapid and transient response of soil respiration to rain 显示文摘 | Lee Xuhui Wu Huiju Jeffrey Sigler | 2004 | Global Change Biology2004，10，： | 1 |
| 9 | The effects of rapid urbanization on the levels in tropospheric nitrogen dioxide and ozone over East China显示文摘 | Jianping Huang Chenhong Zhou Xuhui Lee Yunxuan Bao Xiaoyan Zhao Jimmy Fung Andreas Richter Xiong Liu Yiqi Zheng | 2013 | Atmospheric Environment2013，，： | 1 |
| 10 | Hepatic RIG-I Predicts Survival and Interferon-α Therapeutic Response in Hepatocellular Carcinoma显示文摘 | Jin Hou Ye Zhou Yuanyuan Zheng Jia Fan Weiping Zhou Irene O.L. Ng Huichuan Sun Lunxiu Qin Shuangjian Qiu Joyce M.F. Lee Chung-Mau Lo Kwan Man Yuan Yang Yun Yang Yingyun Yang Qian Zhang Xuhui Zhu Nan Li Zhengxin Wang Guoshan Ding Shi-Mei Zhuang Limin Zheng | 2013 | Cancer Cell2013，，： | 1 |
| 11 | Remotely sensing the cooling effects of city scale efforts to reduce urban heat island 显示文摘 | MACKEY C W LEE Xuhui SMITH R B | 2011 | Building and Environment2011，10，8： | 1 |
| 12 | Hydrologic implications of the isotopic kinetic fractionation of open-water evaporation显示文摘The kinetic fractionation of open-water evaporation against the stable water isotope H_2 ^(18)O is an important mechanism underlying many hydrologic studies that use ^(18)O as an isotopic tracer. A recent in-situ measurement of the isotopic water vapor flux over a lake indicates that the kinetic effect is much weaker(kinetic factor 6.2‰) than assumed previously(kinetic factor14.2‰) by lake isotopic budget studies. This study investigates the implications of the weak kinetic effect for studies of deuterium excess-humidity relationships, regional moisture recycling, and global evapotranspiration partitioning. The results indicate that the low kinetic factor is consistent with the deuterium excess-humidity relationships observed over open oceans.The moisture recycling rate in the Great Lakes region derived from the isotopic tracer method with the low kinetic factor is a much better agreement with those from atmospheric modeling studies than if the default kinetic factor of 14.2‰ is used. The ratio of transpiration to evapotranspiration at global scale decreases from 84±9%(with the default kinetic factor) to 76±19%(with the low kinetic factor), the latter of which is in slightly better agreement with other non-isotopic partitioning results. | Wei XIAO Yufei QIAN Xuhui LEE Wei WANG Mi ZHANG Xuefa WEN Shoudong LIU Yongbo HU Chengyu XIE Zhen ZHANG Xuesong ZHANG Xiaoyan ZHAO Fucun ZHANG | 2018 | Science China Earth Sciences2018，61，10： | 1 |
| 13 | An efficient multi-path structure for con current data transport in wireless mesh networks显示文摘 | Hu Xuhui Lee M J | 2007 | Computer Communications2007，30，17： | 1 |
| 14 | Forest-Air Fluxes Of Carbon, Water And Energy Over Non-Flat Terrain显示文摘 | Xuhui Lee Xinzhang Hu | 2002 | Boundary - Layer Meteorology2002，，2： | 1 |
| 15 | Continuous measurement of water vapor D/H and 18 O/ 16 O isotope ratios in the atmosphere显示文摘 | Xue-Fa Wen Xiao-Min Sun Shi-Chun Zhang Gui-Rui Yu Steve D. Sargent Xuhui Lee | 2007 | Journal of Hydrology2007，，3： | 1 |
| 16 | Simulation of crop growth and energy and carbon dioxide fluxes at different time steps from hourly to daily显示文摘 | Wang Jing Yu Qiang Lee Xuhui | 2007 | Hydrological Processes2007，21，18： | 1 |
| 17 | Remotely Sensing the Cooling Effects of City Scale Efforts to Reduce Urban Heat Island显示文摘 | MacKey Christopher W Lee Xuhui | 2011 | Building and Environment2011，，8： | 1 |
| 18 | Long-term observation of the atmospheric exchange of CO2 with a temperate deciduous forest in southem Ontario, Canada 显示文摘 | Xuhui Lee | 1999 | Geophysical Research1999，104，15： | 1 |
| 19 | An efficient multipath structure for concurrent data transport in wireless mesh networks 显示文摘 | Hu Xuhui Lee Myung J | 2007 | Computer Communications2007，30，17： | 1 |
| 20 | Factors Influencing the Spatial Variability of Air Temperature Urban Heat Island Intensity in Chinese Cities显示文摘Few studies have investigated the spatial patterns of the air temperature urban heat island(AUHI)and its controlling factors.In this study,the data generated by an urban climate model were used to investigate the spatial variations of the AUHI across China and the underlying climate and ecological drivers.A total of 355 urban clusters were used.We performed an attribution analysis of the AUHI to elucidate the mechanisms underlying its formation.The results show that the midday AUHI is negatively correlated with climate wetness(humid:0.34 K;semi-humid:0.50 K;semi-arid:0.73 K).The annual mean midnight AUHI does not show discernible spatial patterns,but is generally stronger than the midday AUHI.The urban–rural difference in convection efficiency is the largest contributor to the midday AUHI in the humid(0.32±0.09 K)and the semi-arid(0.36±0.11 K)climate zones.The release of anthropogenic heat from urban land is the dominant contributor to the midnight AUHI in all three climate zones.The rural vegetation density is the most important driver of the daytime and nighttime AUHI spatial variations.A spatial covariance analysis revealed that this vegetation influence is manifested mainly through its regulation of heat storage in rural land. | Heng LYU Wei WANG Keer ZHANG Chang CAO Wei XIAO Xuhui LEE | 2024 | Advances in Atmospheric Sciences2024，41，5： | 0 |
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