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| 1 | Severe drought strongly reduces water use and its recovery ability of mature Mongolian Scots pine(Pinus sylvestris var. mongolica Litv.) in a semi-arid sandy environment of northern China显示文摘Trees growing in a semi-arid sandy environment are often exposed to drought conditions due to seasonal variations in precipitation, low soil water retention and deep groundwater level.However, adaptability and plasticity of individuals to the changing drought conditions greatly vary among tree species.In this study, we estimated water use(Ts) of Mongolian Scots pine(MSP;Pinus sylvestris var.mongolica Litv.) based on sap flux density measurements over four successive years(2013–2016) that exhibited significant fluctuations in precipitation in a semi-arid sandy environment of northern China.The results showed that fluctuations in daily Ts synchronously varied with dry-wet cycles of soil moisture over the study period.The daily ratio of water use to reference evapotranspiration(Ts/ET0) on sunny days in each year showed a negative linear relationship with the severity of drought in the upper soil layer(0–1 m;P<0.01).The decrease in Ts induced by erratic drought during the growing season recovered due to precipitation.However, this recovery ability failed under prolonged and severe droughts.The Ts/ET0 ratio significantly declined with the progressive reduction in the groundwater level(gw) over the study period(P<0.01).We concluded that the upper soil layer contributed the most to the Ts of MSP during the growing season.The severity and duration of droughts in this layer greatly reduced Ts.Nevertheless, gw determined whether the Ts could completely recover after the alleviation of long-term soil drought.These results provide practical information for optimizing MSP management to stop ongoing degradation in the semi-arid sandy environments. | DANG Hongzhong ZHANG Lizhen YANG Wenbin FENG Jinchao HAN Hui CHEN Yiben | 2019 | Journal of Arid Land2019，11，6： | 4 |
| 2 | A multilevel preconditioner and its shared memory implementation for a new generation reservoir simulator显示文摘As a result of the interplay between advances in computer hardware, software, and algorithm, we are now in a new era of large-scale reservoir simulation, which focuses on accurate flow description, fine reservoir characterization, efficient nonlinear/linear solvers, and parallel implementation. In this paper, we discuss a multilevel preconditioner in a new-generation simulator and its implementation on multicore computers. This preconditioner relies on the method of subspace corrections to solve large-scale linear systems arising from fully implicit methods in reservoir simulations. We investigate the parallel efficiency and robustness of the proposed method by applying it to million-cell benchmark problems. | Wu Shuhong Xu Jinchao Feng Chunsheng Zhang Chen-Song Li Qiaoyun Shu Shi Wang Baohua Li Xiaobo Li Hua | 2014 | Petroleum Science2014，11，4： | 2 |
| 3 | Review of the Distribution,Status and Conservation of Musk Deer in China显示文摘 | Meng Xiuxiang Feng Jinchao | 2004 | Folia Zoologica2004，53，2： | 1 |
| 4 | Isolation and characterization of nine polymorphic microsatellite loci in the rock carp,Procypris rabaudi(Tchang)显示文摘 | Xiuyue Zhang Bisong Yue Jinchao Feng | 2008 | Molecular Ecology Resources2008，，8： | 1 |
| 5 | Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers显示文摘.The geometric multigrid method(GMG)is one of the most efficient solving techniques for discrete algebraic systems arising from elliptic partial differential equations.GMG utilizes a hierarchy of grids or discretizations and reduces the error at a number of frequencies simultaneously.Graphics processing units(GPUs)have recently burst onto the scientific computing scene as a technology that has yielded substantial performance and energy-efficiency improvements.A central challenge in implementing GMG on GPUs,though,is that computational work on coarse levels cannot fully utilize the capacity of a GPU.In this work,we perform numerical studies of GMG on CPU–GPU heterogeneous computers.Furthermore,we compare our implementation with an efficient CPU implementation of GMG and with the most popular fast Poisson solver,Fast Fourier Transform,in the cuFFT library developed by NVIDIA. | Chunsheng Feng Shi Shu Jinchao Xu Chen-Song Zhang | 2014 | Advances in Applied Mathematics and Mechanics2014，6，1： | 0 |
| 6 | Evaluation of GOFP over four forest plots using RAMI and UAV measurements显示文摘Comparison and validation of canopy reflectance(CR)models are two important steps to ensure their reliability.Pure forest plantations are an ideal type of forest for validating CR models because of their simple background and the low variance in the crown structures which are usually assumed to be identical in most CR models.A Geometric Optical Model for Forest Plantations(GOFP)was compared using dataset in two radiation transfer model intercomparison exercise(RAMI)stands and validated using in situ dataset of detailed optical and structural data of two forest plantations in the Saihanba Forestry Center,China.The results show that(1)the tree distributions in stands described by the hypergeometric model in GOFP show good consistencies with the dataset in the two RAMI stands and measurements from the two Saihanba forest stands;and(2)the CRs simulated with GOFP are also compared well in the two RAMI stands and validated with measurements collected with unmanned aerial vehicles in the two Saihanba stands.GOFP shows a better consistency with the CR measurements than those from CR models for natual forestsbecause the tree distribution in forest plantations is described more reasonably in GOFP. | Jun Geng Qian Zhang Feng Qiu J.M.Chen Yongguang Zhang Weiliang Fan Lili Tu Jianwei Huang Shaoteng Wang Lichen Xu Jinchao Li | 2021 | International Journal of Digital Earth2021，14，10： | 0 |
| 7 | A highly selective and sensitive upconversion nanoprobe for monitoring hydroxyl radicals in living cells and the liver显示文摘Excessive reactive oxygen species(ROS)would attack living cells and cause a series of oxidative stress related diseases,such as liver damage.Hydroxyl radicals(·OH)are currently known as one of the most toxic and harmful free radicals to organisms.Therefore,studies involving hydroxyl radicals have become important research topics in the fields of biology,biochemistry,and biomedicine.In addition,imaging of analytes using upconversion nanoparticles(UCNPs)possesses significant advantages over that using general fluorescent dyes or nanoparticles due to its high spatial resolution,reduced photodamage,and deep tissue penetration properties.Herein,we designed a highly selective and sensitive hydroxyl radical nanoprobe based on the luminescence resonance energy transfer between upconversion nanoparticles and methylene blue(MB).The concentration of·OH could be determined by the fluorescence recovery of the UCNPs due to the oxidative damage of MB.Using this nanoprobe,the·OH in living cells or in liver tissues could be monitored with high sensitivity and selectivity. | Guangshun Yu Na Feng Dan Zhao Hao Wang Yi Jin Dandan Liu Zhenhua Li Xinjian Yang Kun Ge Jinchao Zhang | 2021 | Science China(Life Sciences)2021，64，3： | 0 |
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