Global Plate Motions and Their Impact on the Earth's Surface Area Change

Based on their Euler poles,we calculated the relative velocities between every two plates in the typical global plate motion models,respectively,and estimated the area change along these boundaries. In our calculations,plates on both sides accommodated area changes depending on the boundary types: extensional, convergent or transform, so we can estimate area change of each plate and then globally. Our preliminary results show that the area of the southern hemisphere increased while that of the northern hemisphere decreased over the past 1 million years,and global area has increased by 26,000km2 to 36,000km2,which corresponds to the 160m～250m increment on the Earth's radius if all these area increments are attributed to Earth's expansion. Taking the NUVEL-1 model as an example,of the 14 plates in this model,11 are decreasing,but the global area has increased because of the larger increment amount from Africa,North America and Antarctica. Finally,we also discussed factors affecting the global area change such as subduction zone retreating and back-arc spreading.     

Understanding of the Common Land Model performance for water and energy fluxes in a farmland during the growing season in Korea

The Common Land Model (CLM) is one of the most widely used land surface models (LSMs) due to the practicality of its simple parameterization scheme and its versatility in embracing a variety of field datasets. The improved assessment of land surface water and energy fluxes using CLM can be an alternative approach for understanding the complex land–atmosphere interactions in data‐limited regions. The understanding of water and energy cycles in a farmland is crucial because it is a dominant land feature in Korea and Asia. However, the applications of CLM to farmland in Korea are in paucity. The simulations of water and energy fluxes by CLM were conducted against those from the tower‐based measurements during the growing season of 2006 at the Haenam site (a farmland site) in Korea without optimization. According to the International Geosphere–Biosphere Programme (IGBP) land cover classification, a homogeneous cropland was selected initially for this study. Although the simulated soil moisture had a similar pattern to that of the observed, the former was relatively drier (at 0·1 m³ m^?3) than the latter. The simulated net radiation showed good agreement with the observed, with a root mean squared error (RMSE) of 41 W m^?2, whereas relatively large discrepancies between the simulation and observation were found in sensible (RMSE of 66 W m^?2) and latent (RMSE of 60 W m^?2) heat fluxes. On the basis of the sensitivity analysis, soil moisture was more receptive to land cover and soil texture parameterizations when compared to soil temperature and turbulent fluxes. Despite the uncertainty in the predictive capability of CLM employed without optimization, the initial performance of CLM suggests usefulness in a data‐limited heterogeneous farmland in Korea. Further studies are required to identify the controls on water and energy fluxes with an improved parameterization. Copyright © 2010 John Wiley & Sons, Ltd.     

Assimilation of ASAR data with a hydrologic and semi-empirical backscattering coupled model to estimate soil moisture

The most promising approach for studying soil moisture is the assimilation of observation data and computational modeling.However,there is much uncertainty in the assimilation process,which affects the assimilation results.This research developed a one-dimensional soil moisture assimilation scheme based on the Ensemble Kalman Filter(EnKF)and Genetic Algorithm(GA).A two-dimensional hydrologic model-Distributed Hydrology-Soil-Vegetation Model(DHSVM)was coupled with a semi-empirical backscattering model(Oh).The Advanced Synthetic Apertture Radar(ASAR)data were assimilated with this coupled model and the field observation data were used to validate this scheme in the soil moisture assimilation experiment.In order to improve the assimilation results,a cost function was set up based on the distance between the simulated backscattering coefficient from the coupled model and the observed backscattering coefficient from ASAR.The EnKF and GA were used to re-initialize and re-parameterize the simulation process,respectively.The assimilation results were compared with the free-run simulations from hydrologic model and the field observation data.The results obtained indicate that this assimilation scheme is practical and it can improve the accuracy of soil moisture estimation significantly.     

退耕还林对牡丹江区域生态环境脆弱性的影响研究

从脆弱生态系统的特征入手,选取景观分离度、分维数倒数、破碎度3个反映景观稳定性及抗干扰能力的景观格局指数,并结合土壤侵蚀强度构成区域生态环境脆弱性的敏感因子,针对研究区地形,以景观生态适宜度作为生态系统自我恢复能力的表征,构建了牡丹江区域生态环境脆弱度评价模型。评价结果表明:（1）退耕还林前后景观类型脆弱度均表现为旱田>建设用地>水田>林地>未利用土地>水域>沼泽>草地;（2）研究区生态脆弱度表现为以脆弱度高值区为中心呈环状向四周递减的趋势,脆弱度高值区面积比重由退耕前的21.57%减小到退耕后的17.11%,脆弱度低值区面积比重由退耕前的63.14%增加到退耕后的67.66%;（3）生态脆弱度高值区域主要分布在200~400m的海拔高度,0~8°的坡度范围内,且退耕后面积比例呈下降趋势,而低值区域则分布在>300m海拔高度的各个坡度范围内,且退耕后面积比例呈上升态势。研究结果符合研究区实际状况。概言之,退耕还林缓和了研究区生态脆弱度状况,促进了生态环境质量向良好方向发展。     

WRF-chem sensitivity to vertical resolution during a saharan dust event

The Saharan dust event that occurred between the 22nd and 30th of June 2012 influenced the atmospheric radiative properties over North Africa, the Iberian Peninsula, the Western Mediterranean basin, extending its effects to France and Southern England. This event is well documented in satellite imagery, as well as on the air quality stations over the Iberian Peninsula and the AERONET NASA network. In order to assess the effect of the model vertical resolution on the extinction coefficient fields, as a proxy to the particulate matter concentrations in the atmosphere, the WRF-Chem model was applied during this period over a mother domain with a resolution of 18 km, covering Europe and North Africa. To this end five model setups differing in the number of vertical levels were tested. Model skills were evaluated by comparing the model results with CALIPSO and EARLINET LIDAR data. Results show that the model is able to simulate the higher level aerosol transport but it is susceptible to the vertical resolution used. This is due to the thickness of the transport layers which is, eventually, thinner than the vertical resolution of the model. When comparing model results to the observed vertical profiles, it becomes evident that the broad features of the extinction coefficient profile are generally reproduced in all model configurations, but finer details are captured only by the higher resolution simulations.     

历史解译知识引导下组合遥感图谱特征的变化检测方法

高空间分辨率遥感影像为地表变化监测提供了大量细节信息,这使得基于高分辨率影像的变化检测技术成为当前遥感领域的研究热点之一。本文提出了一种历史解译知识引导下组合遥感图谱特征的变化检测方法。首先,通过分割前后时相的组合影像构建空间位置一致的对象,并在提取对象光谱和纹理特征后,引入前期土地覆盖专题图指导2类图谱特征相似度的DS证据融合;然后,利用其历史存档图斑所属区域的优势地类标签指示不同特征相似度的证据差异融合;最后,基于GMM（Gaussian Mixture Mode）模型的二值化方法提取最终的变化区域。实验结果表明,该方法能充分利用历史解译知识指导不同时相高分辨率影像对象特征相似度组合,一定程度上提高了变化检测正确率。     

北京市房价与地价的动态关系——基于结构方程模型的实证分析

城市房价与地价之间的关系错综复杂,不仅受多种因素的交织影响,相互之间也存在动态关系。研究房价与地价关系的传统方法,如Granger因果检验和回归分析等,无法刻画房价与地价之间多维的网络状关系,相比之下,结构方程模型能同时处理多个内生潜变量,且不受观测指标共线性的影响,为刻画地价与房价的交互作用提供了新的工具。从住房与土地市场的供需传导机制出发,推导出房价与地价的结构模型,以北京市为例,运用2003-2013年居住用地价格和2014年在售楼盘价格,与北京市GIS电子地图相匹配,提取商服中心可达性、公共交通可达性、道路可达性、商服繁华度、设施便利性等解释变量,构建地价与房价结构方程模型,分析二者之间的结构关系。     

三维复电阻率电磁场正演研究

将Cole—Cole模型表示的地下异常体各剖分单元复电阻率,引入到体积分方程求解均匀大地三维电磁场计算中,实现电偶源地面激发、接收复电阻率三维电磁场正演模拟。