新一代区域海-气-浪耦合台风预报系统

依托国家重点基础研究（973）计划项目"上层海洋对台风的响应和调制机理研究",中国气象局上海台风研究所联合国家海洋局的相关单位,通过实施近海台风的外场观测科学试验、加强台风边界层（特别是海气相互作用）物理过程诊断分析及参数化方案等的研究,建立并改进了台风强度预报的海-气-浪耦合预报模式系统,并在此基础上发展了台风强度的集合预报技术,在历史典型台风个例和2016-2017年台汛期的业务化测试中表现出良好的预报性能。     

军曹鱼（Rachycentron canadum）幼鱼对环境低氧胁迫氧化应激与能量利用指标的响应

本文探究环境低氧对军曹鱼(Rachycentron canadum)氧化应激和能量利用指标的影响,为军曹鱼的健康养殖提供参考依据。通过设置低氧胁迫–恢复实验,将军曹鱼幼鱼(平均体质量(220.67±20.73)g)在低氧((2.64±0.25)mg/L)胁迫3 h及复氧((6.34±0.15)mg/L)8 h、24 h和48 h后,测定其肝脏和肌肉组织的氧化应激与能量利用指标。结果显示,低氧胁迫后,肝脏中丙二醛（Malondialdehyde,MDA)、过氧化氢酶(Catalase,CAT)和谷胱甘肽还原酶(Glutathione Reductase,GR)活力均显著低于对照组(p<0.05),乳酸脱氢酶(Lactate Dehydrogenase,LDH)活性显著高于对照组(p <0.05);肌肉中MDA和脂质过氧化物(Lipid Peroxidase,LPO)活性均显著低于对照组(p<0.05),超氧化物歧化酶(Superoxide Dismutase,SOD)和LDH活性均显著高于对照组(p<0.05);肌糖原和肝糖原含量极显著低于对照组(p<0.01)。复氧过程中,肝脏和肌肉中MDA、LPO、SOD、CAT、谷胱甘肽过氧化物酶(Glutathione Peroxidase,GPx)和GR含量均出现不同程度的升高;肝糖原在复氧24 h后显著高于对照组(p<0.05),复氧48 h后显著低于对照组(p<0.05);肌糖原在复氧8 h、24 h和48 h后均显著低于对照组(p<0.05)。研究表明,低氧胁迫能够对军曹鱼幼鱼机体造成一定的氧化损伤,肝脏和肌肉组织的酶活力和能量供应发生变化;低氧胁迫后的再复氧环境,对机体造成更为强烈的氧化损伤,可通过自身生理调节逐渐恢复到正常水平。     

中国近海生态环境变化的同位素示踪研究

同位素在确定物质来源、指示生物地球化学循环路径、定量生物地球化学过程速率等方面具有独特的优势,本文以近海生态环境变化研究中常用的稳定同位素（13C、15N、18O）和放射性核素（14C、234Th、232Th、230Th、228Th、210Po、210Pb、137Cs、226Ra、228Ra、224Ra、223Ra）为对象,介绍它们在揭示海洋有机质来源、食物网结构、水体缺氧机制、氮循环过程、颗粒动力学、海底地下水输入、有机地球化学过程、沉积年代学等方面的应用,侧重于总结我国近海生态环境研究中同位素示踪取得的进展。伴随着我国经济的发展,近百年来我国近海生态环境也发生了明显的变化,基于同位素示踪揭示的近海富营养化和沉积环境的演变规律表明,我国近海生态环境自20世纪50年代起经历持续的变化,特别是在过去20~30年时间里,近海生态环境的变化尤为剧烈,反映出人类活动是我国近海生态环境变化的主要驱动力。未来需要通过发展新的同位素技术及拓展更广泛的应用,围绕近海海洋生态环境变化的突出问题,重点揭示近海生态环境变化的响应特征、变化速率和作用机制,从而系统地掌握近海生态环境的时空变化规律。     

Extreme Flood Events over the Past 300 Years Inferred from Lake Sedimentary Grain Sizes in the Altay Mountains,Northwestern China

Understanding the temporal variations of extreme floods that occur in response to climate change is essential to anticipate the trends in flood magnitude and frequency in the context of global warming. However, long-term records of paleofloods in arid regions are scarce, thus preventing a thorough understanding of such events. In this study, a reconstruction of paleofloods over the past 300 years was conducted through an analysis of grain sizes from the sediments of Kanas Lake in the Altay Mountains of northwestern China. Results showed that grain parameters and frequency distributions can be used to infer possible abrupt environmental events within the lake sedimentary sequence, and two extreme flood events corresponding to ca. 1736–1765 AD and ca. 1890 AD were further identified based on canonical discriminant analysis(CDA) and coarse percentile versus median grain size(C-M) pattern analysis, both of which occurred during warmer and wetter climate conditions by referring to tree-ring records. These two flood events are also evidenced by lake sedimentary records in the Altay and Tianshan mountains. Furthermore, through a comparison with other records, the flood event from ca. 1736–1765 AD in the study region seems to have occurred in both the arid central Asia and the Alps in Europe, and thus may have been associated with changes in the North Atlantic Oscillation(NAO) index.     

Spatio-temporal Variation of Soil Respiration and Its Driving Factors in Semi-arid Regions of North China

Soil respiration (SR) is the second-largest flux in ecosystem carbon cycling. Due to the large spatio-temporal variability of environmental factors, SR varied among different vegetation types, thereby impeding accurate estimation of CO₂ emissions via SR. However, studies on spatio-temporal variation of SR are still scarce for semi-arid regions of North China. In this study, we conducted 12-month SR measurements in six land-use types, including two secondary forests (Populus tomentosa (PT) and Robinia pseudoacacia (RP)), three artificial plantations (Armeniaca sibirica (AS), Punica granatum (PG) and Ziziphus jujuba (ZJ)) and one natural grassland (GR), to quantify spatio-temporal variation of SR and distinguish its controlling factors. Results indicated that SR exhibited distinct seasonal patterns for the six sites. Soil respiration peaked in August 2012 and bottomed in April 2013. The temporal coefficient of variation (CV) of SR for the six sites ranged from 76.98% to 94.08%, while the spatial CV of SR ranged from 20.28% to 72.97% across the 12-month measurement. Soil temperature and soil moisture were the major controlling factors of temporal variation of SR in the six sites, while spatial variation in SR was mainly caused by the differences in soil total nitrogen (STN), soil organic carbon (SOC), net photosynthesis rate, and fine root biomass. Our results show that the annual average SR and Q₁₀ (temperature sensitivity of soil respiration) values tended to decrease from secondary forests and grassland to plantations, indicating that the conversion of natural ecosystems to man-made ecosystems may reduce CO₂ emissions and SR temperature sensitivity. Due to the high spatio-temporal variation of SR in our study area, care should be taken when converting secondary forests and grassland to plantations from the point view of accurately quantifying CO₂ emissions via SR at regional scales.     

Control of high-order harmonic generation with two-colour laser field

We numerically investigate the high-order harmonic generation with two-colour optical field, taking into consideration the propagation effects. Some harmonics can be dramatically enhanced at a certain delay between the fundamental pulse and its second harmonics. Choice of the enhanced harmonics can be realised by changing the time delay between the two laser pulses.     

网络视角下中国十大城市群区域创新模式研究

从地理开放、区域协同和创新能力3个维度构建理论分析框架,基于网络视角刻画2015年中国十大城市群的区域创新特点,并据此划分城市群的区域创新模式。研究表明,中国十大城市群的区域创新模式存在显著差异。长三角、京津冀和珠三角城市群已具有较好基础,海西城市群缺乏高水平的内部协同,长江中游和成渝城市群过度依赖外部联系,北部湾城市群拥有较明显的核心-边缘内部网络结构,哈长、中原和关中城市群各维度评价均不高,区域创新模式最差。     

经济地理学视角下创新网络与区域增长研究述评

创新是引领经济发展的第一动力,创新与区域增长之间的关系成为经济地理学者关注的重点领域。文章通过梳理近年来有关创新网络测度、创新网络与区域增长关系、创新网络作用于区域增长方式等方面的文献发现：网络资本可以弥补社会资本在解释企业创新结网经济价值方面的不足,区域增长呈现出网络化特征已成为学界共识,知识流与邻近性能较好地解释创新网络与区域增长的关系机理。然而,当前研究对社会资本如何促进区域增长,网络资本与区域增长关系模型如何构建,不同类型的邻近性与知识对区域增长的影响有何差异等问题尚不明确,建议重视网络资本对区域增长的作用并实证检验二者的关联,同时还应重视创新网络中企业家精神、创新个体心理行为特征等因素对区域增长的影响。     

福建省复杂地形下旬平均气温分布式模拟

为建立高时空分辨率的福建省复杂地形下气温栅格数据集,利用福建省及其周边33个常规气象站观测资料,基于数字高程模型（DEM）数据,综合考虑海拔、太阳总辐射、地表长波有效辐射对旬平均气温的影响,模拟了福建省复杂地形下旬均温的空间分布。结果表明：1）常规站验证结果显示：各旬气温绝对误差平均值（MAE）最小为0.46℃,最大为2.3℃,全年平均为0.87℃;加密站验证结果显示,MAE最大为2.3℃,最小0.5℃,全年平均为0.96℃。2）模拟结果能反映旬均温的宏观分布规律与局地细节特征。宏观范围内,旬均温受纬度影响较大,由北至南气温逐渐升高,沿海地区旬均温整体高于内陆,山区旬均温明显较低;局地范围内,各坡向上气温差异显著,海拔越高、坡度越大,差异越明显;地形因子对旬平均温的影响具有季节差异,具体表现为冬季时地形因子对旬均温的影响最大,秋季次之,春夏季节中地形因子对旬均温的影响最弱。