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| 1 | Characterizing CO_2 fluxes for growing and non-growing seasons in a shrub ecosystem on the Qinghai-Tibet Plateau显示文摘To assess carbon budget for shrub ecosystems on the Qinghai-Tibet Plateau, CO2flux was measured with an open-path eddy covariance system for an alpine shrub ecosystem during growing and non-growing seasons. CO2 flux dynamics was distinct between the two seasons. During the growing season from May to September, the ecosystem exhibited net CO2uptake from 08:00 to 19:00 (Beijing Standard Time), but net CO2 emission from 19:00 to 08:00.Maximum CO2 uptake appeared around 12:00 with values of 0.71, 1.19, 1.46 and 0.67 g CO2m-2 h-1 for June, July, August and September, respectively. Diurnal fluctuation of CO2 flux showed higher correlation with photosynthetic photon flux density than temperature. The maximum net CO2 influx occurred in August with a value of 247 g CO2 m-2. The total CO2 uptake by the ecosystem was up to 583 g CO2 m-2 for the growing season. During the non-growing season from January to April and from October to December, CO2 flux showed small fluctuation with the largest net CO2 efflux of 0.30 g CO2 m-2 h-1 in April. The diurnal CO2 flux was close to zero during most time of the day, but showed a small net CO2 efflux from 11:00 to 18:00. Diurnal CO2 flux, is significantly correlated to diurnal temperature in the non-growing season. The maximum monthly net CO2 efflux appeared in April, with a value of 105 g CO2 m-2. The total net CO2 efflux for the whole non-growing season was 356 g CO2 m-2. | XU Shixiao, ZHAO Xinquan, FU Yuling, ZHAO Liang, LI Yingnian, CAO Guangmin, GU Song, WANG Qinxue & DU Mingyuan Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810001, China Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China Graduate School of the Chinese Academy of Sciences, Beijing 100136, China National Institute for Environmental Studies, Tsukuba 305-8569, Japan National Institute for Agro-Environmental Science, Tsukuba 305-8604, Japan | 2005 | Science China Earth Sciences2005，48，z1： | 12 |
| 2 | Hydroelastic analysis of a nonlinearly connected floating bridge subjected to moving loa-s 显示文摘 | Fu Shixiao Cui Weicheng Chen Xujun Wang Cong | 2005 | Marine Structures2005，18，： | 1 |
| 3 | Hydroelasticity based fatigue assessment of the connector for a ribbon bridge subjected to a moving load 显示文摘 | Wang Cong Fu Shixiao Cui Weicheng | 2009 | Marine Structures2009，22，： | 1 |
| 4 | Ribbon bridge in waves based on hydroelasticity theory显示文摘For the design and operation of a floating bridge,the understanding of its hydroelastic behavior in waves is of great importance.This paper investigated the hydroelastic performances of a ribbon bridge under wave action.A brief introduction on the estimation of dynamic responses of the floating bridge and the comparisons between the experiments and estimation were presented.Based on the 3D hydroelasticity theory,the hydroelastic behavior of the ribbon bridge modeled by finite element method(FEM)was analyzed by employing the mode superposition method.And the relevant comparisons between the numerical results and experimental data obtained from one tenth scale elastic model test in the ocean basin were made.It is found that the present method is applicable and adaptable for predicting the hydroelastic response of the floating bridge in waves. | Cong WANG Shixiao FU Weicheng CUI | 2009 | Frontiers of Structural and Civil Engineering2009，3，1： | 1 |
| 5 | Polynomial chaos surrogate and bayesian learning for coupled hydro-mechanical behavior of soil slope显示文摘As rainfall infiltrates into soil slopes,the hydraulic and mechanical behaviors of soils are interacted.In this study,an efficient probabilistic parameter estimation method for coupled hydro-mechanical behavior in soil slope is proposed.This method integrates the Polynomial Chaos Expansion(PCE)method,the coupled hydro-mechanical modeling,and the Bayesian learning method.A coupled hydro-mechanical numerical model is established for the simulation of behaviors of unsaturated soil slope under rainfall infiltration,following by training a cheap-to-run PCE surrogate to replace it.Probabilistic estimation of soil parameters is conducted based on the Bayesian learning technique with the Markov Chain Monte Carlo(MCMC)simulation.A numerical example of an unsaturated slope under rainfall infiltration is presented to illustrate the proposed method.The effects of measurement durations and response types on parameter estimation are addressed.The result shows that with the increase of measurement duration,the uncertainties of soil parameters are significantly reduced.The uncertainties of hydraulic properties are reduced significantly using the pore water pressure data,while the uncertainties of soil strength parameters are reduced greatly using the measured displacement data. | Lulu Zhang Fang Wu Xin Wei Hao-Qing Yang Shixiao Fu Jinsong Huang Liang Gao | 2023 | Rock Mechanics Bulletin2023，2，1： | 0 |
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