Spatio-temporal variability in sea surface temperatures for the Yellow Sea based on MODIS dataset

The spatio-temporal variabilities in sea surface temperature (SST) were analyzed using a time series of MODIS datasets for four separate regions in the Yellow Sea (YS) that were located along a north-south axis. The space variant temporal anomaly was further decomposed using an empirical orthogonal function (EOF) for estimating spatially distributed SST. The monthly SSTs showed similar temporal patterns in each region, which ranged from 2.4°C to 28.4°C in the study years 2011 to 2013, with seasonal cycles being stronger at the higher latitudes and weaker at the lower latitudes. Spatially, although there were no significant differences among the four regions (p < 0.05) in any year, the geographical distribution of SST was characterized by an obvious gradient whereby SST decreased along the north-south axis. The monthly thermal difference among regions was largest in winter since the SST in the southeast was mainly affected by the Yellow Sea Warm Currents. The EOF1 mode accounted for 56% of the total spatial variance and exhibited a warming signal during the study period. The EOF2 mode accounted for 8% of the total variance and indicated the warm current features in the YS. The EOF3 mode accounted for 6% of the total variance and indicated the topographical features. The methodology used in this study demonstrated the spatio-temporal variabilities in the YS.     

Adjoint free four-dimensional variational data assimilation for a storm surge model of the German North Sea

In this paper, a data assimilation scheme based on the adjoint free Four-Dimensional Variational(4DVar) method is applied to an existing storm surge model of the German North Sea. To avoid the need of an adjoint model, an ensemble-like method to explicitly represent the linear tangent equation is adopted. Results of twin experiments have shown that the method is able to recover the contaminated low dimension model parameters to their true values. The data assimilation scheme was applied to a severe storm surge event which occurred in the North Sea in December 5, 2013. By adjusting wind drag coefficient, the predictive ability of the model increased significantly. Preliminary experiments have shown that an increase in the predictive ability is attained by narrowing the data assimilation time window.     

Nutrient and chlorophyll a anomaly in red-tide periods of 2003-2008 in Sishili Bay, China

Sishili Bay is the most important aquiculture and tourism area for the city of Yantai, China; however, red tides occurred frequently and have caused huge economic losses in this bay in recent years. To gain a better understanding of the local ecological environments in the bay, we conducted this research between 2003 and 2008 to analyze variations in nutrients and chlorophyll (chl-a) during high frequency red tide period (May to September). The results show that the chl-a concentration increased from 2.70 in 2003 to 7.26 mg/m3 in 2008, while the concentration of total inorganic nitrogen (TIN) and silicate (SiO3-Si) increased lineally from 5.18 and 1.45 μmol/L in 2003 to 18.57 and 9.52 μmol/L in 2008, respectively, and the annual phosphate (PO4-P) varied between 0.15 and 0.46 μmol/L. Special attention was given to a red tide in August 2007 occurred when water temperature was high and nutrient concentrations increased sharply because of a heavy rainfall. Overall, the results show the P limitation in Sishili Bay, and reveal that red tides were caused by eutrophication from terrestrial inputs and local warm weather, particularly during rainy periods. Therefore, to control red tide, greater efforts should be made to reduce sewage discharges into Sishili Bay, particularly during rainfall seasons.     

Method of integrating landsat-5 and landsat-7 data to retrieve sea surface temperature in coastal waters on the basis of local empirical algorithm

A useful radiance-converting method was developed to convert the Landsat-7 ETM+thermal-infrared (TIR) band’s radiance (Lλ,_L7/ETM+) to that of Landsat-5 TM TIR (Lλ,_L5/TM) as: Lλ,_L5/TM=0.9699xLλ,_L7/ETM++0.1074 (R²=1). In addition, based on the radiance-converting equation and the linear relation between digital number (DN) and at-satellite radiance, a DN-converting equation can be established to convert DN value of the TIR band between Landsat-5 and Landsat-7. Via this method, it is easy to integrate Landsat-5 and Landsat-7 TIR data to retrieve the sea surface temperature (SST) in coastal waters on the basis of local empirical algorithms in which the radiance or DN of Lansat-5 and 7 TIR band is usually the only input independent variable. The method was employed in a local empirical algorithm in Daya Bay, China, to detect the thermal pollution of cooling water discharge from the Daya Bay nuclear power station (DNPS). This work demonstrates that radiance conversion is an effective approach to integration of Landsat-5 and Landsat-7 data in the process of a SST retrieval which is based on local empirical algorithms.     

张掖城市主要功能用地演变特征及其动因分析

研究城市功能用地演替可以揭示出新时期中国城市功能空间演化的特征、趋势与形成机制,为城市管理提供理论依据。本文以张掖中心城区为研究范围,运用GIS工具及方法,定量分析了张掖市1981年以来居住用地、工业用地、公共服务用地三大功能用地的空间演变特征及其动因,进而绿洲城市空间的可持续发展提供指导。研究发现：张掖城市居住用地和公共服务用地呈逐步增加趋势,空间上呈“内聚→外散”的演变趋势,两者均由老城区向四周扩散,而工业用地先增加后减少,空间上呈“混杂→集中”的转变特征,整体上集中于东北部产业园区内。张掖城市功能用地演变是人口经济驱动、宏观政策调控、城市开发与生态环境博弈、交通线路牵引、城市规划引导等共同作用的结果。     

海水中大分子有机质对铂族元素的吸附动力学研究

Adsorption kinetics of the interaction between Pt, Pd and Rh(defined here as platinum group elements, PGEs)ions and macromolecular organic compounds(MOCs, 10 kDa), including humic acid, carrageenan and bovine serum albumin, and different cutoff fractions of natural organic matter(1 kDa and 3 kDa) obtained from seawater using centrifugal ultrafiltration devices were investigated. For a given element, all the adsorption kinetics did not reach equilibrium except the interaction between Pt and 1 kDa cutoff, and between Pd and humic acid.For all the tested MOCs, the adsorption kinetics could be divided into two stages, a rapid adsorption process in the first 8 h and the desorption stage after the first 8 h until the equilibrium. The change trend of partition coefficient(log_(10)K_d) values with experiment time was consistent with that of the kinetic curves. However, in the interaction between PGE ions and natural dissolved organic matter(NDOM), an obvious difference in the change trends of log_(10)K_d and kinetic curves was observed. It indicated that the partition behavior of PGE ions interacting with NDOM in seawater was a combined effect of different organic constituents. The adsorption and log_(10)K_d of PGEs in the 1 kDa NDOM fraction were higher and more stable than those in the 3 kDa NDOM fraction. The results also indicated that the 1–3 kDa NDOM may dominate the interaction between PGEs ions and NDOM. Moreover, no kinetic model could perfectly simulate the adsorption process. It indicated that the colloidal struction and morphology of MOCs or NDOM in seawater might be inhomogeneous. Hence, the interaction between PGE ions and organic matter in seawater was a complicated process and needs further research.     

基于反射峰面积的水体叶绿素遥感反演模拟研究

叶绿素浓度是水体富营养化状态的重要指标,也是水色遥感反演的水质参数之一。水体中叶绿素浓度的遥感反演主要是建立实测光谱和实测水质参数二者之间的关系模型,利用遥感影像进行叶绿素浓度的信息提取。传统的叶绿素浓度遥感反演受区域性和季节性的影响,反演精度不高,而且反演模型不具普适性,需对叶绿素光谱特征进行分析,建立高精度的反演模型。本文采用Hydrolight数据模拟了不同叶绿素浓度(1~200 µg·L^-1)的水体在可见光近红外的反射波谱曲线,通过分析叶绿素的光谱特征选取了特征波段或波段组合,并建立了叶绿素浓度反演模型。研究表明,除反射峰波长模型外,反射峰面积模型、三波段模型、红光线高度模型等均能较好地反演叶绿素浓度。在不同叶绿素反演模型中,除红光线模型外,最优的是反射峰面积模型,其决定系数为0.9689,反演误差为25.25 µg·L^-1;其次是三波段模型,其决定系数为0.9637,反演误差为10.66 µg·L^-1。究其原因,三波段模型考虑了水体中非色素悬浮物、黄色物质及水体后向散射对叶绿素浓度反演造成的影响;反射峰面积模型除此之外还综合考虑了叶绿素散射效率的影响。     

关于陆地水循环演变及其在全球变化中的作用研究设想

围绕中国在全球变化及应对领域多学科交叉研究能力提升和维护国家利益两大重大实践需求,本研究将以全球变化背景下大气-陆面-水文过程演变为主线,融合气象与气候学、水文及水资源学、系统工程学等多学科理论与技术,采用高密度原型观测、多尺度机理实验、数值模拟与仿真、地理信息技术等多方法相结合的途径,发挥云平台的存储、计算和管理等功能与优势,按照“机理识别-规律揭示-形势诊断”的总体思路开展陆地水循环演变及其在全球变化中的作用研究,将发布过去60年全球陆地广义水资源及水循环通量与干旱事件、1级至4级河流径流性水资源与洪涝事件的成果数据;将为中国参与全球气候谈判、国际气候治理和“一带一路”等国家战略的实施提供直接支撑,潜在的经济社会效益显著。     

吉林省松原市国土资源电子政务建设

本文以松原市国土资源局"以国土资源电子政务建设省级试点项目"为实例,分析了项目的总体目标和设计,详细地阐述了所采用的关键技术,具体地论述了数据中心和三大平台的建设,概述了项目建设的保障措施,并就今后的工作重点作了进一步的说明。     

高光谱红外谱段交叉定标与近海遥感应用试验

以MODIS红外谱段数据为基准,对高光谱红外谱段数据进行辐射交叉定标试验,同时运用高光谱红外谱段数据对近海海表水温进行了评估试验.交叉定标数据选取2012年—2013年冬、夏两季各一幅代表性图像,MODIS与高光谱红外谱段数据成像时间均为同一天白天.实验结果表明,天宫一号高光谱红外谱段数据与MODIS数据具有极好的相关性,相关系数R大于0.95;在此基础上建立了基于MODIS 32波段的辐亮度线性回归校正方程,并用于海表温度反演、检测自然与人工扰动造成的海表温度异常.基于校正数据反演的中国南北典型冬、夏代表性季节的海表温度与常识较为一致.由此表明,基于MODIS交叉定标的天宫一号数据可用于实际的业务化定量评估;同时,由于空间分辨率较高,天宫一号高光谱红外谱段数据在海水精细空间动态变化检测上表现出极好的性能.