基于高分辨率遥感影像的林地变化检测方法研究

本文采用2013年QuickBird和2017年GF-1卫星遥感影像,以黑龙江省五常市为研究区,利用遥感影像的光谱特征提取纯净森林像元,构建整合森林指数(Integrated Forest Z-Score,IFZ)对影像的森林和非森林区域进行区分,叠加对比分析两期影像提取结果,得到研究区内林地的变化区域.再将自动提取结果与人工判读图斑进行精度验证,面积误差为4.2％,图斑重叠率为85％.从精度结果可知,高分辨遥感影像可以准确地监测林地变化,对研究环境变化和森林经营管理具有决策性作用.     

南半球平流层大气环流的若干特点

利用欧洲中期预报中心(ECMWF)5°×5°格点场南北半球6层位势高度场资料计算分析了南半球平流层100hPa平均地转西风随纬度的分布特点、平均地转西风季节变化特点、厄尔尼诺年前后西风廓线形态差异计算分析了南半球位势高度对纬向平均的偏差,分析了超长波的分布特征.以上结果均与北半球同期计算结果作了对比比较,指出了南北半球大气环流在这几方面的异同点.     

An Improved Approach for Parameterizing Surface-Layer Turbulent Transfer Coefficients in Numerical Models

Based on classic iterative computation results, new equations to calculate the surface turbulent transfer coefficients are proposed, which allow for large ratios of the momentum and heat roughness lengths. Compared to the Launiainen scheme, our proposed scheme generates results closer to classical iterative computations. Under unstable stratification, the relative error in the Launiainen scheme increases linearly with increasing instability, even exceeding 15%, while the relative error of the present scheme is always less than 8.5%. Under stable stratification, the Launiainen scheme uses two equations, one for 0 < Ri _B ≤ 0.08 and another for 0.08 < Ri _B ≤ 0.2, and does not consider the condition that Ri _B > 0.2, while its relative errors in the region 0 < Ri _B ≤ 0.2 exceed 31 and 24% for momentum and heat transfer coefficients, respectively. In contrast, the present scheme uses only one equation for 0 < Ri _B ≤ 0.2 and another equation for Ri _B > 0.2, and the relative error of the present scheme is always less than 14%.     

双天线干涉实验中的数据处理

主要根据我们实现的相关函数的获取方式，讨论对数据后处理的理解。     

乳化植物油强化土著微生物修复中高浓度Cr(Ⅵ)污染地下水

以天然细砂为微生物来源,模拟研究了乳化植物油强化原位生物修复中高浓度Cr（Ⅵ）污染地下水的可行性,考察了修复效果及修复过程中地下水质变化及产物的稳定性。结果表明,反应77 d后,Cr（Ⅵ）质量浓度分别从20.0、30.0、50.0、80.0、110.0 mg/L降低到0.0、5.8、19.0、43.6、65.8 mg/L,去除率分别为100.0%、80.7%、61.9%、45.5%、40.2%。反应后介质中Cr形态分析表明,其主要以能在自然条件下稳定存在的铁锰结合态和有机结合态形式存在。此外,随反应进行,实验体系逐渐呈弱酸性环境,pH为5.80~6.70。当Cr被完全还原后,体系会发生异化铁还原,Fe（Ⅱ）质量浓度逐渐升高,最高可达117.0 mg/L,最终形成二价铁矿物。综上所述,天然细砂介质中的土著微生物能够利用乳化植物油强化并还原地下水中的中、高浓度Cr（Ⅵ）,且产物能够在自然状态下稳定存在,修复过程对地下环境的影响较小。     

Soil property variation mapping through data mining of soil category maps

Spatial information on soil properties is an important input to hydrological models. In current hydrological modelling practices, soil property information is often derived from soil category maps by the linking method in which a representative soil property value is linked to each soil polygon. Limited by the area‐class nature of soil category maps, the derived soil property variation is discontinuous and less detailed than high resolution digital terrain or remote sensing data. This research proposed dmSoil, a data‐mining‐based approach to derive continuous and spatially detailed soil property information from soil category maps. First, the soil–environment relationships are extracted through data mining of a soil map. The similarity of the soil at each location to different soil types in the soil map is then estimated using the mined relationships. Prediction of soil property values at each location is made by combining the similarities of the soil at that location to different soil types and the representative soil property values of these soil types. The new approach was applied in the Raffelson Watershed and Pleasant Valley in the Driftless Area of Wisconsin, United States to map soil A horizon texture (in both areas) and depth to soil C horizon (in Pleasant Valley). The property maps from the dmSoil approach capture the spatial gradation and details of soil properties better than those from the linking method. The new approach also shows consistent accuracy improvement at validation points. In addition to the improved performances, the inputs for the dmSoil approach are easy to prepare, and the approach itself is simple to deploy. It provides an effective way to derive better soil property information from soil category maps for hydrological modelling. Copyright © 2014 John Wiley & Sons, Ltd.     

物理实验中的不确定度评定

阐述了不确定度的定义、来源、分类及用不确定度评定测量结果的一些表示方法。分析了误差和不确定度的区别。最终给出了测量不确定度的评定。