基于夜光遥感与POI数据空间耦合关系的南海港口城市空间结构研究

南海港口城市研究是南海资源环境监测的重要内容,目前对于南海港口城市空间结构特别是港口在城市空间结构中的地位缺乏研究。夜光遥感数据和POI数据均为城市空间结构研究的重要数据源,但对于2种数据的空间耦合关系与集成应用研究存在不足。针对上述问题,本文选取南海港口城市典型代表的三亚市为研究区,以研究区2016年NPP-VIIRS夜光遥感数据和POI数据为数据源,利用叠加分析将夜光遥感数据和POI核密度分析结果数据分别网格化。然后,利用双因素组合制图法对两种数据的空间耦合关系进行可视化,分析空间耦合关系相异区域和城市空间结构的关系,并在此基础上探讨港口在三亚城市结构中的地位。研究表明,三亚市夜光遥感和POI数据的空间分布总体趋势相一致,空间耦合关系相近的区域占比达85.6%;夜光遥感和POI数据空间耦合关系在三亚市内存在一定量的相异区域,如新城区、经济开发区、城市边缘区和乡镇中心等,结合2种数据的特点可以更显著地表征这些区域的城市空间结构特征;三亚市作为重要的南海港口城市,其城市的中心区域与港口密切关联。本研究为港口城市空间结构研究提供了新视角。     

Jason-2测高卫星对湖泊水位的监测精度评价

湖泊水位是评估湖泊水量变化的重要指标。本文以洪泽湖、高邮湖及洞庭湖为研究对象,利用集中度的概率密度函数方法(CPDF)来提高Jason-2测高数据精度,分析了降水量与各个湖泊水位变化的相关性,并基于实测水位数据对比评价了Jason-2测高卫星原始GDR数据和CPDF方法处理后的卫星数据的精度。结果表明:①Jason-2原始GDR数据点的分布存在疏密之分,大部分数据分布相对集中,且有一定的周期变化,但评价结果显示精度较差,故原始GDR数据不能直接用于湖泊水位监测;②CPDF方法可以极大提高测高卫星的水位数据精度,洪泽湖与高邮湖的均方根误差分别由1.92 m与1.74 m减少到了0.32 m和0.36 m,相关系数由0.28和0.04提高到了0.85和0.72。对于南北宽度较窄且日水位变化较大的湖泊(如洞庭湖),CPDF方法提高原始GDR结果的精度有限;③洞庭湖降水与水位相关性最强,高邮湖次之,而洪泽湖降水与水位成不显著的负相关,是洪泽湖水利工程对于水位的调节导致了这一结果。本研究对于利用测高卫星获得湖泊水位值,进而对湖泊进行动态监控,特别是在填补资料匮乏地区湖泊水位数据方面具有重要意义。     

Lake inventory and potentially dangerous glacial lakes in the Nyang Qu Basin of China between 1970 and 2016

There are a large number of glaciers and lakes developed in the Nyang Qu Basin of China. Recent climate change has significant impacted on the high-mountain glacial environment. Rapid melting of glaciers contributes to the formation and expansion of moraine-dammed lakes which increase the probability of glacial lake outburst floods(GLOFs). We calculated a multi-temporal lake inventory based on(1) topographic maps in the 1970 s,(2) satellite imageries from 1990 to 2016,(3) First Chinese Glacier Inventory(FCGI),(4) Glacier Inventory of Southeastern Tibet(GIST) and(5) meteorological data. A total of 880 lakes(>0.01 km^2) have been mapped in 2016, with 318 being glacial lakes(GLs) and 462 non-glacier lakes(NGLs). Most of the lakes were mainly located at 4500 m a.s.l. and the lakes dominated by small lakes(<0.1 km^2) where the change of their actual sizes are more significant compared to the larger ones. Meanwhile, we found that there were 178 newly formed GLs and 51 of them had disappeared between 1970 and 2016. During the same period, there can be identified 157 newly formed GLs and 226 had disappeared. We additionally performed a hazard and risk assessment for GL in 2016 and exposed 14 potentially dangerous morainedammed lakes(PDMDLs), covering a total area of 5.88 km2 in the Nyang Qu Basin. There can be found 4 GLs with very high risk, 3 GLs with high risk, 4 GLs with medium risk and 4 GLs with low risk of GLOFs susceptibility. The findings of this study can be used for the future policy of risk management and also be adapted for promoting water resources management.     

利用Jason-1数据监测呼伦湖水位变化

卫星测高为内陆水域水位变化的实时和连续监测提供了一种高效的技术工具．但是这种应用受到数据点覆盖稀疏的限制。利用Jason-13年（2002-2004）GDRs测高数据作简单的数据编辑,并进行必要的地球物理改正．最后得到内蒙古地区呼伦湖水位变化的时间序列。呼伦湖地区由于近年来持续干旱,水位呈现明显的下降趋势．年平均下降约0．3～0．5m。在一般的内陆水域．水位变化主要取决于降雨量和蒸发量,所以,根据卫星测高所得的水位变化信息．可以为区域气候变化的研究提供一种全新的技术与方法。     

基于长时序MODIS数据的中国城市昼夜热岛强度时空特征

随着我国城市化进程的加快,城市热岛难显缓解之势,有关土地利用/覆盖类型、城市规模、城市形态对城市热岛的影响已有较多研究,尚缺少气候背景对我国城市昼夜地表热岛强度的影响研究。本文通过长时序的MODIS地表温度数据,从年均、季节和昼夜3个时间尺度,从全国、气候带、城市3个空间尺度探讨了我国347个城市昼夜地表热岛强度的空间分布特征以及时间变化规律。结果表明：(1)昼夜差异：我国城市年均地表热岛强度白天（1.25±0.81℃）高于夜晚（0.79±0.43℃）;(2)季节差异：昼夜地表热岛强度在不同季节表现不同,白天表现为夏季高,冬季弱,夜晚四个季节差异不大;(3)气候带差异：昼夜地表热岛强度分布呈现明显的空间分异。白天地表热岛强度表现为热带及亚热带地区高于温带及高原地区,其中南亚热带表现为最强,高原气候区最弱;夜晚则表现为温带高于亚热带、热带及高原地区,其中中温带最强,北亚热带最弱;(4)时空变化：白天地表热岛强度年际呈非显著下降趋势（|Z|<1.96）,而夜晚呈显著上升趋势（|Z|>1.96）;昼夜地表热岛强度年际变化存在季节差异,白天地表热岛强度夏季上升趋势显著高于其他季节,...     

Community structure changes of macrobenthos in the South Yellow Sea

The ecological environment in the Yellow Sea has changed greatly from the 1950s to 1990s and this has had significant impact on marine organisms. In this study, data on soft-sediment macrobenthos occurring in depths from 25 m to 81 m in the South Yellow Sea were used to compare changes in community structure. The agglomerative classification (CLUSTER) and multidimensional scaling (MDS) methods were applied. Five communities were recognized by cluster analysis: 1. The Yellow Sea Cold Water Mass community dominated by cold water species, which changed slightly in species composition since the 1950s; 2. The mixed community with the coexistence of cold water species and warm water species, as had been reported previously; 3. The polychaete-dominated eurythermal community in which the composition changed considerably as some dominant species disappeared or decreased; 4. The Changjiang (Yangtze) River Estuarine community, with some typical estuarine species; 5. The community affected by the Yellow Sea Warm Current. The greatest change occurred in the coastal area, which indicated that the change may be caused by human activities. Macrobenthos in the central region remained almost unchanged, particularly the cold water species shielded by the Yellow Sea Cold Water Mass. The depth, temperature and median grain size of sediments were important factors affecting the distributions of macrobenthos in the South Yellow Sea.     

南美洲的地表水体制图研究

采用Landsat TM遥感影像,辅以MODIS数据产品,应用像元的分类方法,选用水体指数AWEI（Automated Water Extraction Index）提取水体,估算了2011年南美洲陆表水域总面积。同时,在南美洲各大气候带内监测其典型水域的年内季节性面积及其变化。研究表明,南美洲陆表水域总面积为30.5×10⁴ km²,水域率为1.69%,主要集中分布在亚马逊河流域、巴拉那河流域,以及南部巴塔哥尼亚高原。南美洲共计有湖泊9579个,总面积为14.2×10⁴ km²,占水域总面积的46.42%;河渠总面积达15.7×10⁴ km²,占水域总面积的51.56%;水库坑塘总面积达6144.8 km²,占南美洲地表水域总面积的2.01%。从各大气候区看,热带地区的水域面积明显受到旱雨季的影响,其中,热带沙漠气候带内水域的干湿季变化最为明显;温带地区的水域面积变化相对较小,但有明显的四季之分;高原山地气候区由于其独特的气候特征,水域面积变化较小;亚热带季风性湿润气候和地中海气候区内的水域面积季节性波动很小,但是冬夏2个季节变化明显。从南美洲各国家看,水域面积最大的国家为巴西（14.7×10⁴ km²）,占南美洲水域总面积的48.17%,水域率为1.72%;其次为阿根廷（3.4×10⁴ km²）,占南美洲水域总面积的11.24%,水域率为1.23%;委内瑞拉的水域率最大（3.08%）。     

Trends of sea surface wind energy over the South China Sea

Studies on climate change typically consider temperature and precipitation over extended periods but less so the wind.We used the Cross-Calibrated Multi-Platform(CCMP)24-year wind field data set to investigate the trends of wind energy over the South China Sea during 1988-2011.The results reveal a clear trend of increase in wind power density for each of three base statistics(i.e.,mean,90 th percentile and 99 th percentile)in all seasons and for annual means.The trends of wind power density showed obvious temporal and spatial variations.The magnitude of the trends was greatest in winter,intermediate in spring,and smallest in summer and autumn.A greater trend of increase was found in the northern areas of the South China Sea than in southern parts.The magnitude of the annual and seasonal trends over the South China Sea was larger in extreme high events(i.e.,90~(th) and 99~(th) percentiles)compared to the mean conditions.Sea surface temperature showed a negative correlation with the variability of wind power density over the majority of the South China Sea in all seasons and annual means,except for winter(41.7%).     

DEM在湖泊水文变化研究中的应用进展

在全球变化背景下,湖泊水文的动态变化不仅是评估和预测气候与环境变化的重要指示剂,同时对社会可持续发展、水资源的开发与利用、生态文明建设等产生重要影响。湖泊水文的动态变化受到湖滨及湖底地形的控制,数字高程模型（DEM）成为湖泊水文研究的重要数据源。随着遥测技术的发展,高分辨率、区域/全球大尺度DEM数据的获取手段快速发展、数据源不断丰富,DEM对推动湖泊水文动态研究进展起到了关键作用。本文首先基于Web of Science平台对DEM在湖泊水文动态研究中的相关文献进行了分析,阐述了该主题现有研究在发文时间、发文数量增减态势、研究区域与热点地区、文献所涉及的DEM数据等方面的特点。接着,围绕着DEM在湖泊水文动态的研究中4个主要方向：湖泊水域变化、湖泊水位变化、湖泊水量变化、湖泊水文灾害情势,重点总结：DEM与其他遥感观测平台、实地观测及模型模拟等多源数据的融合策略,数字地形分析与水文学分析、遥感影像分析等方法的集成策略,以及DEM数据不确定性等对湖泊水文变化研究的影响。最后,本文论述了目前DEM在湖泊水文研究中存在的关键问题,并结合技术发展趋势和研究热点问题,提出了可能的解决路径和未来的研究前景。     

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Sedimentary Characteristics of the Second Marine Layer During the Late Marine Isotope Stage 3 in Southern Yellow Sea and Their Response to the East Asian Monsoon

We use the particle size of sediments in core YS01 A to study the sedimentary environment of the mud deposit in the central South Yellow Sea of China during late Marine Isotope Stages 3(MIS3;40.5 kyr–31.3 kyr).In addition,the East Asian Monsoon and its relationship with the North Atlantic Ocean climate change are discussed based on the sensitive grain-size calculation and the spectrum analysis.The results show that during late MIS3,the muddy area in the central South Yellow Sea experienced the evolution of coastal facies,shallow marine facies,coastal facies,and continental facies,with weak hydrodynamic conditions.Compared with other climate indicators,we found that there were many century to millennium-scale climate signals documented in the muddy area sediments in the central South Yellow Sea.According to our particle size results,three strong winter monsoon events occurred at 37.6 kyr,35.6 kyr and 32.2 kyr.The East Asian Winter Monsoon records in core YS01 A are consistent with the Greenland ice core and the Hulu cave stalagmite δ~(18)O.The millennial and centennial scale cycles,which are 55 yr,72 yr,115 yr,262 yr respectively,correspond to solar activity cycles,while the 1049 yr and 2941 yr cycles correspond to the Dansgaard-Oeschger cycles.These cycles indicate that the paleoclimate evolution of the area was controlled by the solar activities,with the high-latitude driving thermohaline circulation as the main energy conveyor belt,followed by the sea-air-land amplification of the winter monsoon variation in the central Yellow Sea in the late MIS3.     

A comparison of Argo nominal surface and near-surface temperature for validation of AMSR-E SST

Satellite SST(sea surface temperature) from the Advanced Microwave Scanning Radiometer for the Earth Observing System(AMSR-E) is compared with in situ temperature observations from Argo profiling floats over the global oceans to evaluate the advantages of Argo NST(near-surface temperature: water temperature less than 1 m from the surface). By comparing Argo nominal surface temperature(~5 m) with its NST, a diurnal cycle caused by daytime warming and nighttime cooling was found, along with a maximum warming of 0.08±0.36°C during 14:00–15:00 local time. Further comparisons between Argo 5-m temperature/Argo NST and AMSR-E SST retrievals related to wind speed, columnar water vapor, and columnar cloud water indicate warming biases at low wind speed(5 m/s) and columnar water vapor 28 mm during daytime. The warming tendency is more remarkable for AMSR-E SST/Argo 5-m temperature compared with AMSR-E SST/Argo NST, owing to the effect of diurnal warming. This effect of diurnal warming events should be excluded before validation for microwave SST retrievals. Both AMSR-E nighttime SST/Argo 5-m temperature and nighttime SST/Argo NST show generally good agreement, independent of wind speed and columnar water vapor. From our analysis, Argo NST data demonstrated their advantages for validation of satellite-retrieved SST.     

ESTARFM模型在西藏色林错湖面积时空变化中的应用分析(1976-2014年)

湖泊（特别是内陆湖）作为全球气候变化的敏感区域,是气候变化与环境变异的指示器,其面积变化在一定程度上可反映区域的气候变化。因此,精确监测湖泊面积的时空变化,对分析区域生态环境变化具有重要的意义。本文基于ESTARFM时空数据融合模型,利用MODIS数据模拟了2000年后无法得到的Landsat数据;利用NDWI和MNDWI 2种水体指数并辅以DEM数据分析了1976-2014年西藏色林错湖湖面面积的时空变化;综合湖区周围6个气象站点的气象数据(1970-2014年),探究了湖面面积变化的原因及其对气候变化的响应。结果表明：(1)利用ESTARFM时空融合模型得到的Landsat-Like数据与真实的Landsat数据在水体信息提取方面具有较高的相关性,R²可达0.93,时空数据融合的结果可用于湖泊水体的信息提取;(2)近40年来（1976-2014年）,色林错湖处于持续扩张状态,面积呈较显著的增长趋势,增加了近711.652 km²,增幅为42.36%,年平均增长速率约为18.728 km²a^-1,增长最快时可达55.954 km²a^-1;湖面面积变化先后经历了平稳变化-迅速变化-平稳变化3个阶段;北部湖区在40年间变化最为明显,向北扩展了约22.812 km;2003-2005年,南部湖区已与雅根错湖连为一体,随后二者共同扩张;(3)气温的持续升高造成的冰雪融水补给增加可能是导致湖泊面积扩张的主要因素,风速的降低为次要因素,湖面的面积变化与降水量、日照时数的变化相关性不明显。     

Large-scale desiccation of the Aral Sea due to over-exploitation after 1960

The Aral Sea was one of the largest lakes in the world before it started to shrink in the 1960s due to water withdrawal for agricultural irrigation.Precipitation decreased from 9.4 km3 in 1960 to 3.2 km3 in 2009,and annual river inflow into the Aral Sea decreased from 31.5 km3 in 1998 to 5.2 km3 in 2009.Comparison on the hydrological data of the Aral Sea between 1960 and 2009 showed the evaporation,water surface area,and water volume decreased by 90%,80%,and 88%,respectively.This study employs the observed values of water volume,precipitation,runoff,evaporation,and salinity to estimate water volume and salinity from 1960 to 2009,and the efficiency coefficients for predicted water volume and salinity are 0.975 and 0.974,respectively.Regression equations calculated from the observed data are used to predict precipitation,runoff,evaporation,and salinity from 2010 to 2021,and the results are then applied in the estimation of water volume and salinity.Our estimates suggest that salinity will increase to around 200 g/L and water volume will decrease to around 83 km3 in 2021.     

Variations in aeolian landform patterns in the Gonghe Basin over the last 30 years

Wind erosion, or the transportation and deposition of sand into desert dunes and aeolian loess, is one of the most important aeolian activities. The progression of aeolian landforms expands arid and barren landscapes, leading to the degradation of adjacent areas. The Gonghe Basin, as a typical plateau with abundant sand sources, is highly sensitive to changes in the local climate conditions. In order to quantify the spatial-temporal variations in the aeolian landforms in the Gonghe Basin, we conducted field surveys and also analyzed twelve remote sensing(Landsat5 TM and Landsat8 OLI) images that sample the Gonghe Basin from 1989 to 2019. In the Gonghe Basin, we identified aeolian landforms such as climbing dunes on the windward slopes of the foothills, checkerboard dunes in the southeastern part of the basin, flat dunes, parabolic dunes and crescent dunes on the east and west sides of Longyangxia Reservoir, shrubby sandbanks on the valley slope in Shazhuyu, Tanggemu, and Indel, and sandy thickets at the bottom of the valley near the Dalian Sea, the Longyangxia Reservoir, and the tributaries of the Yellow River. From 1989 to 2005, the area of theaeolian regions expanded by 816.7 km~2, with an annual conversion rate of 0.05%. From 2015 to 2019, the area of the aeolian regions shrunk by 2411.9 km~2, with an annual conversion rate of-0.15%.The number and size of the fixed and semi-fixed dunes(e.g. the shrubby sandbanks on the valley slope and the sandy thickets at the bottom of the valley) were more stable than those of the mobile dunes(e.g. the checkerboard dunes, the flat dunes, the crescent dunes, the parabolic dunes, and the climbing dunes). The fixed and semi-fixed dunes were arranged in an irregular ring shape, and the location of the center of gravity of this ring did not change significantly from 1989 to 2019; in this time, the mobile dunes migrated to the northwest.     

基于长时间序列MODIS数据的鄱阳湖湖面面积变化分析

湖泊是气候、水和生物地球化学循环的关键组分,遥感观测有助于获得湖泊面积变化及对环境的响应信息。本文基于长时间序列遥感观测提出了一种利用像元水淹没/陆地出露比例的湖面变化分析算法,并应用于鄱阳湖的湖面提取及变化分析。首先,用全年遥感数据合成获得当年最大湖面;然后,在此最大湖面范围内,识别出每景数据的水体和陆地状态;最后,统计一定时期内每个像元的水淹没比例,并据此分析湖泊的年际和季节变化特征。该算法的最大优势是克服了云的干扰,以及湖面快速变化造成的年际变化对比分析困难问题。算法应用于2000-2010年MODIS观测,分析结果表明,本算法检测出的湖面面积与鄱阳湖水文站水位观测资料非常一致;算法可以获得鄱阳湖湖面面积的显著季节变化信息;2000-2010年间,鄱阳湖湖面面积在丰水期未发现有规律的变化;在枯水期,2003年后湖面面积急剧减小。     

南海北部陆架区海域深水金线鱼的产卵场

根据 1997年 12月至 1999年 6月在南海北部陆架区海域进行的底拖网渔业资源调查的资料 ,统计分析了南海北部陆架区海域深水金线鱼性腺成熟期的组成及分布、季节性变化和水深变化规律。结果表明 ,南海北部陆架区海域深水金线鱼的产卵场位于广东沿海水深 6 0～ 15 0m海区 ,尤其是珠江口外海区的群体更为密集 ;该生殖群体的产卵期较长 ,且分布范围大 ,未见有显著性变化。     

用交叉点数据计算中国近海海平面变化

讨论了由测高卫星升、降弧段海面高在交叉点上的约束监测海平面变化的方法；用TOPEX／POSIDON测高数据计算了中国黄海、东海、南海海域的海平面变化，其中黄海、东海海域受两个月周期分量的振荡信号影响，而南海海域以年周期变化为主要表现特征；分析了3个海区海平面变化的相关性，扣除两个月的周期分量振荡信号后，其海平面变化的相关性达到90％以上；分析了海水面积随纬度带的变化对不同纬度分布的海区海平面变化量的影响。     

Environmental change and its effects on inter-decadal variations of diatom production,species composition and frustule dissolution in a coastal marginal sea

The implications of climate change during the second half of the 20 th century have been reported throughout the world. Although marginal seas are sensitive to climate change and anthropogenic impacts, relatively little attention has been given to the South East Asian marginal seas. Thus, to bridge this gap in knowledge, a sediment core was collected from the coastal areas of the Leizhou Peninsula in the South China Sea(SCS) to study the inter-decadal climate change and its consequences using diatom species composition as a proxy record. Diatom absolute abundance varied from 2 300 to 68 000 and averaged 16 000 valves per gram of dry weight(v/gdw). The fractional dissolution index(Fi) was usually below 0.5, which indicates low to moderate preservation of diatom valves at coastal area of the SCS. At the inter-decadal time scale, total diatom abundance was high for the period after 1972, which coincided with 1) increased percentage of planktonic diatom abundance and Fi; 2) emergence and dominance of high productivity indicative cosmopolitan species such as T halassionema nitzschioides and Paralia sulcata(their relative abundance increased from 1.5% to 7% for the period before and after 1972, respectively); 3) decreased relative abundance of the small-sized eutrophication indicative species, C yclotella striata, from 70% to 40%. This study reveals that variations in the abundance of diatoms preserved in the sediment was a function of both production and dissolution/preservation of diatom valves, which in turn was intimately connected to the prevailing environmental/climatic conditions. In conclusion, these data reveal the existence of substantial changes in the coastal SCS in response to the 1970 s climate shift that was recorded in dif ferent parts of the world.     

RELATIONSHIP BETWEEN QINGHAI LAKE LEVEL DESCENDING AND ARTIFICIAL WATER－CONSUMPTION

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