地区级旅游卫星帐户构建的国际经验及启示

地区级旅游卫星帐户(R-TSA)的构建在世界范围内普遍面临着机构、统计、框架、方法等方面的障碍。有些国家已经在R-TSA的数据收集、统计体系规范、TSA框架构建、影响效应估算等方面进行了一些探索和试验,以丹麦、安达卢西亚、澳大利亚的R-TSA的编制实践为例,探讨其经验与不足,并总结提炼出其对中国省市自治区级旅游卫星帐户的编制启示。     

全球重要农业文化遗产(GIAHS)经济评估概念框架:以中国稻鱼共生系统为例（英文）

全球重要农业文化遗产(GIAHS)项目是2002年由联合国粮农组织(FAO)发起,旨在建立全球重要农业文化遗产及其有关的景观、生物多样性、知识和文化保护体系,并在世界范围内得到认可与保护,使之成为可持续管理的基础。农业文化遗产地往往被认为比非遗产地更具经济价值,但目前还没有经济学分析来证明这一点,也没有任何针对农业文化遗产地的复杂的经济性能标准来长期监测其经济功能。本研究的目的在于建立一个经济评价方法,可用于遗产地与非遗产地之间比较。为此,本文选择了成本效益分析(CBA)方法。鉴于数据可得性的限制,经济分析的框架应该包括分析的方向、假设和数据要求,由此指导未来对GIAHS的经济评价。本研究选择中国青田稻鱼共生系统作为案例,根据数据可得性并针对不同活动(旅游,国内和国际市场的销售产品)以及相似系统间比较进行计算。     

利国矿区铜（金）成矿条件的研究

利国矿区是江苏省重要铁矿基地之一,矿区位于秦岭一昆仑纬向构造带东延的南侧与新华夏构造体系第三隆起带的交接复合部位。铁矿床主要产于燕山期闪长玢岩杂岩体与下奥陶统碳酸盐地层的接触带及其附近灰岩中,矿体呈似层状一透镜状等,产状与围岩一致,具层控矿床的特征。笔者主要从成矿地质特征着手,分析总结了该区铜、金矿化特征及主要成矿规律,指出了利国矿区铜（金）矿的找矿方向和有望靶区。     

基于MAPGIS的区域化探异常查询系统的开发

随着地理信息系统（GIS）技术的不断完善,利用GIS的空间数据（矢量化数据）与化探测量数据（定量数据）的有机结合,建立基于地理信息系统（GIS）空间数据库对已有的海量化探数据进行统一管理,并开发基于GIS空间信息技术的地球化学异常查询系统,是化探相关地质信息提取的有效途径。     

合成孔径雷达差分干涉测量（D-InSAR）技术在多年冻土区地表变形监测中的应用

多年冻土区地表变形严重影响着区域内生态环境和工程设施的稳定性。合成孔径雷达差分干涉测量（differential interferometric synthetic aperture radar, D-InSAR）技术作为一种新型的空间对地观测技术, 为多年冻土区地表变形监测提供了新方法。通过近20年的不断深入研究, 利用D-InSAR技术的多年冻土区地表变形监测取得了大量研究成果。首先介绍了D-InSAR技术测量地表变形的理论基础, 进而概述了D-InSAR技术在多年冻土区地表变形测量中的应用现状, 然后总结了D-InSAR测量过程中存在的关键问题及可能的解决方法。在此认识和分析的基础上, 对D-InSAR技术今后在多年冻土区地表变形监测中的发展方向进行了探讨, 以期为D-InSAR技术在多年冻土区地表变形监测中的推广应用和深入研究提供参考。     

GPS精密单点定位中精密星历和钟差的内插算法选取

利用了IGS中心给出的精密星历,计算了几种插值以及拟合算法,分析和比较了插值与拟合的质量与运算效率,基于精密单点定位软件验证与对比了其精度。     

Retrieving multi-scale climatic variations from high dimensional time-series MODIS green vegetation cover in a tropical/subtropical mountainous island

【Title】
There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region. Therefore, this study investigated inter-annual vegetation dynamics and regular/irregular climate patterns in Taiwan. We applied principal component analysis （PCA） on 11 years （2001~2011） of high-dimensional monthly photosynthetically active vegetation cover （PV） derived from the Moderate Resolution Imaging Spectroradiometer （MODIS） and investigated the relationships between spatiotemporal patterns of the eigenvectors and loadings of each component through time and multi-scale climate-related variations. Results showed that the first five components contributed to 96.4% of the total variance. The first component （PC1, explaining 94.5% of variance） loadings, as expected, were significantly correlated with the temporal dynamics of the PV （r = 0.94）, which was mainly governed by regional climate. The temporal loadings of PC2 and PC3 （0.8% and 0.6% of variance, respectively） were significantly correlated with the temporal dynamics of the PV of forests （r = 0.72） and the farmlands （r = 0.80）, respectively. The low-order components （PC4 and PC5, 0.3% and 0.2% of variance, respectively） were closely related to the occurrence of drought （r = 0.49） and to irregular ENSO associated climate anomalies （r = -0.54）, respectively. Pronounced correlations were also observed between PC5 and the Southern Oscillation Index （SOI） with one to three months of time lags （r = -0.35 ~ -0.43, respectively）, revealing biophysical memory effects on the time-series pattern of the vegetation through ENSO-related rainfall patterns. Our findings reveal that the sensitivity of the ecosystems in this tropical/subtropical mountainous island may not only be regulated by regional climate and human activities but also be susceptible to large-scale climate anomalies which are crucial and comparable to previous large scale analyses. This study demonstrates that PCA can be an effective tool for analyzing seasonal and inter-annual variability of vegetation dynamics across this tropical/subtropical mountainous islandin the Pacific Ocean, which provides an opportunity to forecast the responses and feedbacks of terrestrial environments to future climate scenarios.     

Evapotranspiration Estimation Based on MODIS Products and Surface Energy Balance Algorithms for Land （SEBAL） Model in Sanjiang Plain, Northeast China

In this study,the Surface Energy Balance Algorithms for Land(SEBAL) model and Moderate Resolution Imaging Spectroradiometer(MODIS) products from Terra satellite were combined with meteorological data to estimate evapotranspiration(ET) over the Sanjiang Plain,Northeast China.Land cover/land use was classified by using a recursive partitioning and regression tree with MODIS Normalized Difference Vegetation Index(NDVI) time series data,which were reconstructed based on the Savitzky-Golay filtering approach.The MODIS product Quality Assessment Science Data Sets(QA-SDS) was analyzed and all scenes with valid data covering more than 75% of the Sanjiang Plain were selected for the SEBAL modeling.This provided 12 overpasses during 184-day growing season from May 1st to October 31st,2006.Daily ET estimated by the SEBAL model was misestimaed at the range of-11.29% to 27.57% compared with that measured by Eddy Covariance system(10.52% on average).The validation results show that seasonal ET from the SEBAL model is comparable to that from ground observation within 8.86% of deviation.Our results reveal that the time series daily ET of different land cover/use increases from vegetation on-going until June or July and then decreases as vegetation senesced.Seasonal ET is lower in dry farmland(average(Ave):491 mm) and paddy field(Ave:522 mm) and increases in wetlands to more than 586 mm.As expected,higher seasonal ET values are observed for the Xingkai Lake in the southeastern part of the Sanjiang Plain(Ave:823 mm),broadleaf forest(Ave:666 mm) and mixed wood(Ave:622 mm) in the southern/western Sanjiang Plain.The ET estimation with SEBAL using MODIS products can provide decision support for operational water management issues.     

南海海底天然地震台阵观测实验及其数据质量分析

本文对2019年10月—2020年5月在中国南海西北次海盆布放的宽频带海底地震仪的数据进行了分析,利用长短时窗均值比算法在单个海底地震仪台站拾取了多达25万个短时事件（SDE）。对拾取到的SDE信号特征进行了分析,并根据信号特征将事件分为连续短时事件（C-SDE）和随机短时事件（R-SDE）。探讨C-SDE和R-SDE的信号源,可能的产生机制,结果表明：在布放时间段内中国南海西北次海盆存在着活跃的C-SDE信号源可能来自人类活动,如气枪放炮或者低频水声通信;R-SDE则来源于离台站很近的源,很可能是海底沉积层中的气体逃逸过程造成的沉积层破裂所导致,表明中国南海西北次海盆海底沉积层中存在气体泄露。     

采样数据密度及栅格尺寸对高程中误差的影响分析

利用全数字摄影测量得到的高精度点数据,获取不同密度的点数据,建立基于ANUDEM和TIN方法的两种DEM,比较两种DEM的高程中误差,分析数据密度、栅格尺寸与高程中误差的关系。研究结果表明,建立1∶100 00比例尺,具有高程中误差2m左右、栅格尺寸5m以下的ANUDEM,需要的点密度水平为大于7 000个/km2,而TINDEM则为8 500个/km2。同时,当栅格尺寸小于20m、数据密度介于7 000～9 400个/km2时,无论是ANUDEM还是TINDEM,高程中误差都处于一个较稳定的状态。