监测浒苔灾害的微波遥感数据选取

2008年奥帆赛举办地青岛海域出现了大面积的浒苔自然灾害,利用卫星遥感监测浒苔能够达到快速准确的效果.本文使用RADARSAT-1、ENVISAT-ASAR、ALOS-PALSAR三种星载雷达传感器的数据,首先进行了影像预处理,并且针对浒苔的影像特征提出了一种基于灰度值的影像分析方法,该方法能够快速的对监测浒苔灾害的星...     

合成孔径雷达在湿地资源研究中的应用

合成孔径雷达(SAR)因为其独特的优势,成为遥感研究的热点问题。湿地作为复杂水陆交汇系统,传统的遥感手段不能全面获取湿地信息。将SAR引入到湿地遥感研究中具有重要意义。论文系统、全面介绍了这一方面研究的最新成果,主要包括SAR在湿地制图、湿地水位及湿地生物量估算方面的应用。     

Application of Remote Sensing in Detection of Ocean Oil Pollution

It is well known that the increase of surface tension due to the presence of oil slicks causes the surface wave motion is depressed or even disappeared, thus making the surface electromagnetically smoother. Therefore, the radar backscattered energy is correspondingly decreased. These damping effects is now well understood and such effects enables the oil slicks to be discernible from the radar image. in this paper, we are concerned with the digital technique that effectively delineates the oil slicks pattern from the SAR image. the detected pattern allows us to estimate the coverage of oil spillage. the technique is based on the fact that the oil slicks make a gray value surface in the image which is a concave area with a certain size. in order to identify correctly these oil slicks and suppress the speckle noise and other natural phenomena, an image pyramid with multi-resolution layers is generated sequentially from the original image. Then a top-down approach, which applies both first and second order derivative operators, the Difference of Gaussian (DoG) and the Laplace of Gaussian (LoG), to the image pyramid, is used to detect oil patches. Two ERS-1 SAR images acquired on August 5, 1994 and September 5, 1994, around Taiwan, were used for testing. Results indicate that the proposed method depresses the speckle noise and other sea noise signals, and enhances the oil slicks pattern clearly. the robustness to the empirical parameters introduced in this scheme was also demonstrated.     

Synthesis and pharmacological properties of certain analogs of pilocarpine

The synthesis of 4‐(4'‐pyrimidinylmethyl)oxacyclohexan‐2‐one (2a) and 4‐(4'‐pyrimidinylmethyl)oxacycloheptan‐2‐one (3a) were achieved through the Michael addition of the anion derived from 4‐methylpyrimidine with oxacyclyo‐3‐hexen‐2‐one and oxacyclo‐3‐hepten‐2‐one respectively. These compounds 2a and 3a and their quaternary methiodide salts lack cholinomimetic activity.     

基于DEM的SAR图像洪水水体的提取

星载雷达遥感已广泛应用于洪水灾害的监测和评估中。但是由于其阴影与水体严重混淆 ,使得从雷达图像中提取洪水水体较为困难。为此 ,本文探讨了在地形数据的支持下 ,实现星载SAR图像洪水水体半自动提取的方法。主要包括以下几步 :首先 ,对雷达图像进行滤波处理 ,并将其与地形数据匹配 ,从雷达图像中提取出初步的洪水水体范围 ;其次 ,利用地形数据生成DEM ,并根据雷达图像的成像参数和DEM生成相应的模拟雷达图像 ;最后 ,利用模拟雷达图像上的阴影 ,剔除被误提为洪水水体的阴影 ,从而实现洪水水体的准确提取。研究表明 ,该方法能有效地、半自动地将星载雷达图像上的洪水水体提取出来 ;同时 ,该方法可以用于多种星载多模式的雷达图像的洪水水体的识别提取 ,尤其对含山区的大范围洪水水体的半自动提取 ,更为适用。     

内地与香港燃煤电厂大气污染物排放控制政策与标准比较

香港特区与广东省政府联合成立粤港持续发展与环保合作小组,并发表《改善珠江三角洲空气质量的联合声明》（简称＂减排联合声明＂）,同意制定合理的减排方案,共同执行管理计划。总结分析了粤、港地区在治理燃煤电厂大气污染物方面的控制政策,并对大陆与香港特区燃煤电厂大气污染物的排放标准进行比较。     

利用RADARSAT SWA SAR和LANDSAT TM的互补信息确定洪水水体范围

从RADARSAT SAR图像中自动提取洪水水体,一直是一个急需解决而又未能得到解决的问题。主要困难是由于阴影与水体严重相混淆。为此,本文研究发现,通过RADARSAT SWA SAR图像和LANDSAT TM图像上的互补信息,利用RADARSAT SWA SAR图像和LANDSAT TM图像上的水体和阴影进行复合处理,可以从RADARSAT SWA SAR图像上准确、半自动提取洪水水体范围。研究结果表明,该方法不仅适用于平地洪水水体范围的半自动提取,而且更适用于包含山区的大范围洪水水体的半自动提取。     

酸雨对鼎湖山土壤的累积效应及荷木的反应

运用盆栽实验研究了酸雨对鼎湖山季风常绿阔叶林土壤危害的累积效应和优势树种荷木的一些生理反应.结果表明,在酸雨直接淋洗土壤的条件下,与对照相比,土壤酸度,土壤淋洗液酸度增加;土壤交换性K⁺、Na⁺上升,Ca²⁺、Mg²⁺和有效Mn、Zn下降;土壤淋洗液中K、Na含量下降,Ca、Mg、Cu、Fe、Mn和Al在pH3.05的酸雨处理下含量显著上升;但生长于模拟酸雨土壤中的荷木在土壤化学性质发生变化后仍能健康生长.     

中国省域尺度下产业结构多维度特征及演化对碳排放的影响

在中国转向高质量发展及2030年前达到碳排放峰值的背景下,寻找保证经济增长的低碳减排途径是学界研究的热点。利用中国2005—2017年省域面板数据,建立SAR模型,并按八大经济区分别构建PECM模型,研究中国省域尺度下产业结构多维度特征及演化对碳排放的影响,主要结论如下：（1）中国省域碳排放具有显著的时滞性和空间溢出效应。（2）全国视角下,产业结构合理化水平提升对碳排放呈抑制作用,且存在负向空间溢出效应;而产业结构高度化对碳排放呈促进作用,且存在正向空间溢出效应,总体上处于“倒U型”曲线左侧。（3）八大经济区视角下,随着经济发展水平的提高,产业结构合理化水平提升总体上能够抑制碳排放,而产业结构高度化水平提升则呈现明显的“倒U型”趋势特征,具有两面性,发达地区呈现抑制效应,欠发达地区则相反;当前处于“倒U型”曲线右侧的区域多为发达地区。因此,由产业结构高度化提升导致碳排放量的增加依然属于中国多数省份当前发展的固有阶段性特征,而产业结构合理化提升在总体上能够拉动碳排放峰值前移,促使碳排放早日达峰。欠发达地区不应以增大三产份额为目标,盲目推动产业结构高度化水平提升,这将很有可能对区域经济发展产生负面影响;而产业结构合理化水平提升是既能够适应中国多数省份当前发展惯性,同时又能促进减排或排放降速的有效途径。     

Retrieving surface deformation by PSInSAR™ technology: A powerful tool in reservoir monitoring

Reservoir monitoring improves our understanding of reservoir behaviour and helps achieve more effective reservoir management and prediction of future performance with obvious economic benefits. It relies on an integrated approach involving both surveillance (well or surface based; seismic, electrical, leakage, flow and deformation measurements, etc.) and modelling. Surface deformation monitoring can provide valuable constraints on the dynamic behaviour of a reservoir enabling the evaluation of volumetric changes in the reservoir through time. Levelling campaigns, tiltmeters, GPS permanent stations and Permanent Scatterer SAR Interferometry (PSInSAR™) are the techniques most widely used to determine surface displacements. Whatever the surveying technique, the detection of millimetre-level surface deformation is required to monitor small surface displacement rates that could impact risk evaluation and land use planning. Depending on depth and reservoir/overburden rheology, volumetric changes in reservoirs due to fluid extraction and injection can induce either subsidence or uplift that could trigger fault reactivation and threaten well integrity; deformation may also be detectable at the surface. Mapping surface effects accurately requires hundreds of observation points per km² which cannot be delivered by traditional monitoring methods without unacceptably large expenditure. PSInSAR™ is one of the most promising and cost-effective techniques capable of providing high precision and high areal density displacement measurements over long periods of time. Moreover, the availability of PS data for both ascending and descending orbits enables the estimation of both vertical and E–W horizontal displacement fields. Two case histories will be presented to illustrate the advantages of PSInSAR™ technology for the detection of surface deformation induced by reservoir exploitation and monitoring of its evolution though time.