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37篇 您的检索式:作者名="Laixiang"
    题名 作者 年代 出处 被引量
1Estimating potential yield of wheat production in China based on cross-scale data-model fusion显示文摘到环境的 agro 生态的系统的反应包括单个庄稼的生理的过程的反应和庄稼社区的改编到环境。在单个规模水平的观察和模拟不能充分解释上述过程。开发跨规模的 agro 生态的模型并且越过不同规模学习 agro 生态的过程的相互作用是必要的。在这研究,二典型 agroecological 当模特儿,为 Agrotechnology 转移(DSSAT ) 模型的决定支持系统和 Agroecological 地区(AEZ ) 当模特儿,被采用,并且为有效跨规模的数据模型熔化的一个框架被建议并且说明。来自 36 个不同农业观察车站和历史的气象站(1962-1999 ) 的国家观察数据被采用估计平均庄稼生产率。二个模型的评价的比较是一致的,它将显示可能性 ofcross 规模庄稼模型熔化[出版摘要]Zhan TIAN Honglin ZHONG Runhe SHI Laixiang SUN Gunther FISCHER Zhuoran LIANG 2012Frontiers of Earth Science2012,6,4:8
2The genetic diversity of central and peripheral populations of ratlike hamster (Cricetulus triton)显示文摘The impact of habitat fragmentation and isola-tion on the genetic diversity of populations has attracted much attention in studies of meta-population and conserva-tion biology. In this work, using the randomly amplified po-lymorphic DNA (RAPD) technique, we studied the genetic diversity of central, peripheral and peninsular populations of ratlike hamster, which were collected in five locations of the North China Plain and its surrounding areas, in 1999. The study revealed that, i ) the genetic diversity of central population of Raoyang County > the sub-central populations of Gu’an County and Taikang County > the peripheral population of Shunyi District > the peninsular population of Mentougou District; ii) the genetic diversities of the five populations were positively correlated to the nearest dis-tances to the peripheral line of population distribution; iii) there were significant differences of gene frequencies of some RAPD fragments among the five populations. More RAPD fragments disappeared inYongqing Wang Zhibin Zhang Laixiang Xu 2002Chinese Science Bulletin2002,47,3:5
3深度不确定性下沿海洪水气候变化适应决策方法述评显示文摘深度不确定性下适应气候变化的稳健决策是当前决策者和科学家共同面临的难题.以往基于气候模式预估结果进行风险评估和决策规划的局限性日益凸显,模型参数、预测结果等多方面不确定性组成的深度不确定性给决策带来的风险远超一般不确定性.近年来,研究者将稳健决策理论、适应路径方法、工程选择分析等运用于气候变化适应决策研究,它们能够系统化筛选处理深度不确定性,从而更好地把握不确定性对气候变化决策的影响.本文以沿海城市洪水适应气候变化为例,综述稳健决策、适应路径、工程选择分析3种方法的特点和相互联系.稳健决策方法结合了传统控制理论与现代管理决策理论,专注于未来场景生成、适应措施的成本-效益比较、巨量场景-适应措施的比较静态筛选.适应路径方法更关注时间维度上的场景-适应措施选择,但对未来场景缺乏充分考量.工程选择分析方法基于适应路径方法框架,专注于具体工程设计,但缺乏应用经验.如何将3种决策方法综合应用,以期服务于面向多个决策目标、构建多个未来场景、组合多种应对措施的决策过程,促进科学家、政策制定者和其他利益相关者在决策中的持续有效对话的“知识共创”过程是开展深度不确定性下气候变化适应决策的新趋势.田展 吴文娴 刘俊国 Laixiang Sun 2022科学通报2022,67,22:4
4LTL Formulae to Bchi Automata Translation Using on-the-Fly De-generalization显示文摘In this paper, we present a conversion algorithm to translate a Linear temporal logic(LTL) formula to a Bu¨chi automaton(BA) directly. Acceptance degree(AD) is presented to record acceptance conditions satisfied in each state and transition of the BA. According to AD, on-the-fly de-generalization algorithm, which is different from the standard de-generalization algorithm, is conceived and implemented. On-the-fly de-generalization algorithm is performed in the case of the given LTL formula containing U-subformulae or F-subformulae, that is,it is performed as required during the expansion of the given LTL formula. We compare the conversion algorithm presented in this paper to previous works, and show that it is more efficient for a series of LTL formulae in common use.SHAN Laixiang QIN Zheng 2015Chinese Journal of Electronics2015,24,4:2
5Outsourcing CO2 within China显示文摘Kuishuang Feng Steven J. Davis Laixiang Sun Xin Li Dabo Guan Weidong Liu Zhu Liu Klaus Hubacek 2013Proceedings of the National Academy of Sciences2013,,28:2
6Model based analysis of future land-use development in China显示文摘Fischer G Sun Laixiang 2001Agriculture Ecosystem & Environment2001,85,:1
7Iodine metabolism and thyroid function in rat model induced by iodine deficiency and iodine excess at different levels of high iodine intake显示文摘Chen Zupei Lin Laixiang Nie Xiuling 2005Thyroid2005,,:1
8Ascenario analysis of China's land use and land cover change:incoporating biophysical infor- mation into input output modeling显示文摘Klaus Hubacek Laixiang Sun 2001Structural Change and Economic Dynami- cs2001,12,:1
9A scenario analysis of China's land use and land cover change : Incorporating biophysical information into input -output modeling 显示文摘Klaus Hubacek Laixiang Sun 2001Structural Change and Economic Dynamics2001,12,:1
10Economic and societal changes in China and their effects on water use显示文摘Klaus Hubacek Laixiang Sun 2005Journal of Industrial Ecology2005,9,12:1
11Iodine metabolism and thyroid function in rat model induced by iodine deficiency and io- dine excess at different levels of high iodine intake显示文摘Chen Zupei Lin Laixiang Nie Xiuling 2005Thyroid2005,15,1:1
12A scenario analysis of China's land use and land cover change:incorporating biophysical information into input-output modeling显示文摘Klaus Hubacek Laixiang Sun 2001Structural Change and Economic Dynamics2001,12,:1
13Model Based Analysis of future Land-usc Development in China显示文摘Gunther Fischer Laixiang Sun 2001Agriculture Ecosystem & Envitoment2001,85,13:1
14Model based analysis of future land-use development in China显示文摘Günther Fischer Laixiang Sun 2001Agriculture, Ecosystems and Environment2001,,1:1
15Foreign direct investment and total factor productivity in China: a spatial dynamic panel analysis显示文摘Hong E Sun Laixiang 2011Oxford Bulletin of Economics &Statistics2011,73,6:1
16Potentials of crop residues for commercial energy production in China: A geographic and economic analysis显示文摘Huanguang Qiu Laixiang Sun Xinliang Xu Yaqing Cai Junfei Bai 2014Biomass and Bioenergy2014,,:1
17Iodine metabolism and thyroid function in rat model induced by iodine deficiency and iodine excess at different levels of high iodine intake 显示文摘Chen Zupei Lin Laixiang Nie Xiuling 2005Thyroid2005,15,1:1
18A scenario analysis of China' s land use and land cover change: incorporating biophysical informationinto input-output modcling显示文摘Hubacek K SUN LaiXiang 2001Structural Change and Economic Dynamics2001,,12:1
19Dynamics of inter-nationalization and outward investment : Chinese corpora-tions strategies 显示文摘Hong Eunsuk Sun Laixiang 2006The China Quarterly2006,,4:1
20High-Resolution Projections of Mean and Extreme Precipitation over China by Two Regional Climate Models显示文摘In this study, we employ two regional climate models(RCMs or RegCMs), which are RegCM4 and PRECIS(Providing Regional Climates for Impact Studies), with a horizontal grid spacing of 25 km, to simulate the precipitation dynamics across China for the baseline climate of 1981–2010 and two future climates of 2031–2060 and 2061–2090. The global climate model(GCM)—Hadley Centre Global Environment Model version 2-Earth Systems(HadGEM2-ES) is used to drive the two RCMs. The results of baseline simulations show that the two RCMs can correct the obvious underestimation of light rain below 5 mm day^-1 and the overestimation of precipitation above 5 mm day^-1 in Northwest China and the Qinghai–Tibetan Plateau, as being produced by the driving GCM. While PRECIS outperforms RegCM4 in simulating annual precipitation and wet days in several sub-regions of Northwest China, its underperformance shows up in eastern China. For extreme precipitation, the two RCMs provide a more accurate simulation of continuous wet days(CWD) with reduced biases and more realistic spatial patterns compared to their driving GCM. For other extreme precipitation indices, the RCM simulations show limited benefit except for an improved performance in some localized regions. The future projections of the two RCMs show an increase in the annual precipitation amount and the intensity of extreme precipitation events in most regions. Most areas of Southeast China will experience fewer number of wet days, especially in summer, but more precipitation per wet day(≥ 30 mm day^-1). By contrast, number of wet days will increase in the Qinghai–Tibetan Plateau and some areas of northern China. The increase in both the maximum precipitation for five consecutive days and the regional extreme precipitation will lead to a higher risk of increased flooding. The findings of this study can facilitate the efforts of climate service institutions and government agencies to improve climate services and to make climate-smart decisions.Zhiyu JIANG Zhan TIAN Guangtao DONG Laixiang SUN Peiqun ZHANG Erasmo BUONOMO Dongli FAN 2020Journal of Meteorological Research2020,34,5:1
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