1961 - 2017年中国东北地区降雪时空演变特征分析

利用东北地区162个气象台站逐日降水量和天气现象数据, 采用统计分析方法, 对近57年（1961 - 2017年）降雪的气候特征和时空演变规律进行了分析。结果表明： 降雪量和降雪日数最多出现在12月, 小雪和中雪最多出现在11月或12月, 大雪和暴雪在冬末春初出现概率最高。降雪分布为山地大于平原, 平原地区自北向南、 自东向西减少, 降雪高值区主要位于大兴安岭北部、 小兴安岭和长白山区, 降雪强度中心位于长白山区和辽宁中部平原地区。年、 秋季、 冬季、 春季降雪量占同期降水量比例分别为4.7%、 7.0%、 84.4%和7.6%; 辽宁省西部山区和南部大连地区日最大降雪量占年总降雪量比例最高, 最长连续降雪日数在2 d以下, 降雪较高纬度地区更为集中。近57年降雪量和降雪强度分别以1.93 mm?（10a）^-1和0.11 mm?d^-1?（10a）^-1的速率显著增加, 降雪日数以2.08 d?（10a）^-1速率显著减少; 降雪量增加主要表现为各等级降雪量的增加, 降雪日数减少主要是微量和小雪日数的减少, 降雪强度增加主要为大雪和暴雪降雪强度的增加。年、 秋季和冬季降雪量占同期降水量比例平均每10年增加0.36%、 0.48%和0.45%, 春季以0.11%?（10a）^-1的速率减少。中雪、 大雪和暴雪对降雪贡献率均呈增加趋势, 小雪降雪量和微量降雪日数贡献率减少; 1987年降雪量和降雪日数突变后, 微量降雪日数和暴雪日数、 小雪降雪量贡献率改变显著。就区域平均而言, 2001 - 2017年的降雪量较1961 - 1980年增加了27.8%, 降雪日数减少了22.4%。     

Determination of land degradation causes in Tongyu County,Northeast China via land cover change detection

Tongyu County in Northeast China is highly prone to land degradation due to its fragile physical settings characterized by a flat topography, a semi-arid climate, and a shallow groundwater table. This study aims to determine the causes of land degradation through detecting the long-term trend of land cover changes. Degraded lands were mapped from satellite images recorded in 1992 and 2002. These land cover maps revealed that the area subject to land degradation in the form of soil salinization, waterlogging and desertification increased from 2400 to 4214 km², in sharp contrast to most severely degraded land that decreased by 122.5 km². Newly degraded land stems from productive farmland (263 km²), harvested farmland (551 km²), and grassland (468 km²). Therefore, the worsened degradation situation is attributed to excessive reclamation of grassland for farming, over cultivation, overgrazing, and deforestation. Mechanical, biological, ecological and engineering means should be adopted to rehabilitate the degraded land.     

《东北地区1：150万大地构造相图》的编制

东北地区1：150万大地构造相图是2018年出版的一份区域性大地构造图.该图依据不断积累和丰富的基础地质资料,将大地构造理论研究与综合应用汇总和集成,是东北地区科技创新成果和技术方法进步转化应用的重要体现.此次编图以板块构造理论和大陆动力学思维为指导,以多岛洋、弧-盆系发展演化观点为切入点,运用大地构造相分析方法,研究东北地区地壳形成、演化历史,以及大地构造环境及其与成矿作用的时空关系.较系统地阐述了东北地区的岩石构造组合、建造构造与构造演化阶段的宏观背景.     

东北老工业基地振兴与吉林省新型城市化的响应

振兴东北老工业基地是我国21世纪重要的区域开发战略,作为东北地区重要组成部分的吉林省如何抓住这个机遇,推进城市化进程,提高城市化质量,走出一条新型城市化之路,从而拉动区域经济的发展,已经成为一个亟待解决的问题。本文在振兴东北老工业基地这一宏观背景下,客观分析了吉林省城市化的现状特点、存在的主要问题以及未来发展趋势,指出吉林省新型城市化未来发展重点是加强长吉大都市和区域性中心城市的建设,积极发展中等城市,完善城镇体系,构建“一群三组团”的城市体系格局,形成职能分工明确、功能协调,具有较强的综合竞争力的城市群体。     

Change of ancient hydrology net in Northeast China Plain

Comparing with lithofacies palaeogeography of several great plains, the authors analyzed four great plains in Quaternary diastrophism, the sedimentary facies, sedimentary environment and their evolution from the independent embryonic and river system of ancient Heilongjiang finally to the Halar highland, Songnen Plain, Sanjiang Plain, the Xingkai Lake Plain and various river systems, collected the unification outside the system of Heilongjiang River to release into the sea, south ancient Xialiao River finally piracy Dongliao River, Xialiao River had released into the sea the ancient water law vicissitude and the evolved rule.     

基于粗糙集与犹豫层次分析的北极东北航道风险评估

运用风险分析理论和方法,以北极东北航道6个关键海峡为研究目标,构建东北航道自然环境风险评价指标体系;针对全球气候变暖以及海冰融化背景下北极东北航道航行安全问题,引入犹豫层次分析方法确定指标主观权重、采用粗糙集思想来确定客观权重,集成得到组合权重。基于所建风险分析模型,对其中3个关键海峡的自然环境风险进行了量化评估和时空特征分析,同时计算了2013年8月份6个关键海峡的风险度,模拟了一条最优通航线路并与同时期永盛号轮船的实际航行线路进行了比对。研究表明:(1)2000-2014年东北航道3个关键海峡自然环境风险均呈现减小趋势,红军海峡自然环境风险减小趋势最大;(2)对比3个海峡海峡自然环境风险度,德朗海峡最低,维利基茨基海峡次之,二者均适合通航;红军海峡风险度最高,且不适宜通航;(3)模型模拟路线与实际航线较吻合,对实时航行路线的选择有参考意义。     

Oolitic shoal complexes characterization of the Lower Triassic Feixianguan Formation in the Yuanba Gas Field,Northeast Sichuan Basin,China

The Yuanba Gas Field is the second largest natural gas reservoir in the Sichuan Basin, southwest China. The vast majority of the natural gas reserve is from the Permian Changhsingian reef complexes and Lower Triassic Feixianguan oolitic shoal complexes. To better understand this reservoir system, this study characterizes geological and geophysical properties, spatial and temporal distribution of the oolitic shoal complexes and factors that control the oolitic shoals character for the Lower Triassic Feixianguan Formation in the Yuanba Gas Field. Facies analysis, well-seismic tie, well logs, seismic character, impedance inversion, and root mean square (RMS) seismic attributes distinguish two oolitic shoal complex facies – FA-A and FA-B that occur in the study area. FA-A, located in the middle of oolitic shoal complex, is composed of well-sorted ooids with rounded shape. This facies is interpreted to have been deposited in shallow water with relatively high energy. In contrast, FA-B is located in flanks of the oolitic shoal complex, and consists of poorly sorted grains with various shape (rounded, subrounded and subangular). The oolitic shoal complexes were mainly deposited along the platform margin. From the early Fei 2 Member period to the late Fei 2 Member period, the oolitic shoals complexes on the platform margin gradually migrated from the southwest to the northeast with an extent ranging from less than 100 km²–150 km² in the Yuanba Gas Field. The migration of oolitic shoals coincided with the development of a series of progradational clinoforms, suggesting that progradational clinoforms caused by sea-level fall maybe are the main reason that lead to the migration of oolitic shoals. Finally, this study provide an integrated method for the researchers to characterize oolitic shoal complexes by using well cores, logs, seismic reflections, impedance inversion, and seismic attribute in other basins of the world.     

Impacts of future climate change on agroclimatic resources in Northeast China

In this study, the spatial distribution and changing trends of agricultural heat and precipitation resources in Northeast China were analyzed to explore the impacts of future climate changes on agroclimatic resources in the region. This research is based on the output meteorological data from the regional climate model system for Northeast China from 2005 to 2099, under low and high radiative forcing scenarios RCP4.5 (low emission scenario) and RCP8.5 (high emission scenario) as proposed in IPCC AR5. Model outputs under the baseline scenario, and RCP4.5 and RCP8.5 scenarios were assimilated with observed data from 91 meteorological stations in Northeast China from 1961 to 2010 to perform the analyses. The results indicate that: (1) The spatial distribution of temperature decreases from south to north, and the temperature is projected to increase in all regions, especially under a high emission scenario. The average annual temperature under the baseline scenario is 7.70°C, and the average annual temperatures under RCP4.5 and RCP8.5 are 9.67°C and 10.66°C, respectively. Other agricultural heat resources change in accordance with temperature changes. Specifically, the first day with temperatures ≥10°C arrives 3 to 4 d earlier, the first frost date is delayed by 2 to 6 d, and the duration of the growing season is lengthened by 4 to 10 d, and the accumulated temperature increases by 400 to 700°C·d. Water resources exhibit slight but not significant increases. (2) While the historical temperature increase rate is 0.35°C/10a, the rate of future temperature increase is the highest under the RCP8.5 scenario at 0.48°C/10a, compared to 0.19°C/10a under the RCP4.5 scenario. In the later part of this century, the trend of temperature increase is significantly faster under the RCP8.5 scenario than under the RCP4.5 scenario, with faster increases in the northern region. Other agricultural heat resources exhibit similar trends as temperature, but with different specific spatial distributions. Precipitation in the growing season generally shows an increasing but insignificant trend in the future, with relatively large yearly fluctuations. Precipitation in the eastern region is projected to increase, while a decrease is expected in the western region. The future climate in Northeast China will change towards higher temperature and humidity. The heat resource will increase globally, however its disparity with the change in precipitation may negatively affect agricultural activities.     

WRF模拟的1980-2000年中国东北农业开发对气候的影响

利用WRF模式,基于中国东北1980年代前期和2000年的土地利用/覆盖数据,分别进行了1980-2000年的气候变化模拟试验。通过两个试验结果的对比,分析了1980-2000年中国东北农业开发对气候的影响。在冬季和春季,农业开发使地表反照率增强,地表吸收的短波辐射减少,地表感热通量相应减少,地表气温降低;在夏季和秋季,农业开发削弱了地表反照率,地表吸收的短波辐射增加,同时地表潜热通量大幅增加,且增幅大于地表吸收的短波辐射的增幅,地表感热通量则相应减少,地表气温降低。农业开发的致冷幅度大多为0.1°C~1.0°C,与同期大尺度气候变化导致的当地背景温度变幅基本相当。农业开发引起的夏季降水变化因气候年景而异,“南旱北涝”年景下,呼伦贝尔—黑龙江省中部以及吉林省中部少雨,黑、吉、蒙三省（自治区）交界处降水增加,辽、蒙交界处以及辽东湾北部降水减少;“南涝北旱”年景下,呼伦贝尔—黑龙江省中部以及吉林省中部多雨,黑、吉、蒙三省（自治区）交界处降水减少,辽、蒙交界处以及辽东湾北部降水减少。农业开发的面积极其有限,因而由其导致的温度和降水显著变化主要出现在农业开发当地,尚不足以显著影响区域平均温度和降水变化。     

夏季鄂海阻高活动天数的年际变化及其前期征兆分析

利用1951-2009年NCEP/NCAR高度场月平均资料、全球海表温度月平均资料、国家气候中心提供的东北地区24站逐月温度资料、鄂霍次克海阻塞高压（东阻）活动天数等数据,采用相关和奇异值分解分析（SVD）方法,分析夏季（6-8月）东阻活动天数的年际变化及其前期征兆,结果表明：夏季东阻活动天数年际变化阶段性明显,21世纪以来不仅处于强盛后期明显下降趋势阶段,而且年际变率显著增大;夏季东阻活动天数与中国东北地区中部及东部的温度呈显著负相关;春季至夏季赤道东太平洋（NINO3区）SSTA（特别是1977-2009年）呈El Niño位相是夏季东阻活动的最重要强迫源,当赤道东太平洋为El Niño状态,以及阿拉伯海与北太平洋西风漂流区为暖海温时,夏季东阻活动天数偏多;与夏季同期大西洋海温的SVD1模态表明,当大西洋海温SSTA整体上处于冷（暖）位相分布时,东阻活动天数偏少（多）;夏季东阻活动天数与春季NPO和极涡面积指数相关存在着的年代际变化特征,1951-1976年,夏季东阻活动天数仅与春季北半球极涡面积指数、亚洲极涡面积指数呈显著正相关, 1977-2009年,不仅与春季极涡面积指数呈正相关信号消失,而且,1951-2009年与春季NPO指数呈显著的正相关信号,在此期间也迅速减弱消失。