基于温度植被干旱指数的电网输电线路走廊干旱分析

以湖北省输电线路走廊地区作为研究区,利用2013年1~9月MODIS卫星影像数据,处理得到月尺度的归一化植被指数(Normalized Differential Vegetation Index,NDVI)与地表温度(Land Surface Temperature,LST)数据,构建NDVI-Ts特征空间,计算得到温度植被干旱指数(Temperature Vegetation Dryness Index,TVDI),用TVDI监测结果分析湖北省输电线路走廊区域2013年干旱时空分布情况。结果表明,湖北省输电线路走廊地区TVDI和土壤含水量之间存在显著的负相关,相关系数达到0.525(p0.05),由MODIS卫星影像计算得到TVDI影像可以有效表明湖北省输电线路走廊地区的土壤含水情况。     

Effects of Enclosure on Plant and Soil Nutrients in Different Types of Alpine Grassland

Enclosure is one of the most widely used management tools for degraded alpine grassland on the northern Tibetan Plateau, but the responses of different types of grassland to enclosure may vary, and research on these responses can provide a scientific basis for improving ecological conservation. This study took one site for each of three grassland types (alpine meadow, alpine steppe and alpine desert) on the northern Tibetan Plateau as examples, and explored the effects of enclosure on plant and soil nutrients by comparing differences in plant community biomass, leaf-soil nutrient content and their stoichiometry between samples from inside and outside the fence. The results showed that enclosure can significantly increase all aboveground biomass in these three grassland types, but it only increased the 10-20 cm underground biomass in the alpine desert. Enclosure also significantly increased the leaf nutrient content of the dominant plants and contents of total nitrogen (N), total potassium (K), and organic carbon (C) in 10-20 cm soil in alpine desert, thus changing the stoichiometry between C, N and P (phosphorus). However, enclosure significantly increased only the N content of dominant plant leaves in alpine steppe, while other nutrients and stoichiometries of both plant leaves and soil did not show significant differences in alpine meadow and alpine steppe. These results suggested that enclosure has differential effects on these three types of alpine grasslands on the northern Tibetan Plateau, and the alpine desert showed the most active ecological conservation in the responses of its soil and plant nutrients.     

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.     

基于新型单相MICP技术改性黏性土力学特性的试验研究

微生物诱导碳酸钙沉积(MICP)是一种绿色低碳的新型土体改性技术.该技术当前主要适用于渗透性较好的砂土,普遍使用两相处理方法,即菌液和胶结液分开施用.然而,对于渗透性相对较差的黏性土,传统的两相处理方法难以适用.为此,引入新的单相胶结方法,即菌液和胶结液混合施用,通过调节溶液的初始pH值为细菌水解作用提供窗口期,避免微生物絮凝阻塞孔隙,使混合液均匀分布于土体一定深度范围内,从而达到显著提升胶结效果的目的.利用喷洒法将混合液喷洒至土体表层进行MICP处理,处理完成后使用超微型贯入仪SMP-1测试土体表层不同深度处的结构强度,分析土体力学特性的空间差异,对土体的胶结效果进行定量评价.此外,探究了胶结液浓度(0.2M、0.5M和1.0M)及胶结方法(调节pH与否)对于土体结构强度及MICP改性效果的影响.结果表明:采用单相MICP技术对黏性土进行改性,能够显著提高其结构强度,具有较好的适用性;在不高于1.0 M的胶结液浓度范围内,黏性土的胶结效果随着胶结液浓度增加而提升;相比较而言,调节pH的单相胶结方法对于提升土体胶结的深度和均匀性有明显积极作用.新型单相MICP技术简单易行,能够节约成本,在黏性土表层加固方面具有潜在推广应用价值.     

非饱和土壤水力参数预测的分形模型

综述了利用分形几何理论,可在土壤水力性质,包括土壤水分特征曲线及水力传导系数与土壤结构分维之间建立起一定的函数关系式.这些函数关系式大多与Campbell定律具有相同或相似的幂定律形式,一方面揭示了Campbell定律的物理实质,另一方面可用于土壤持水量及水力传导系数的预测.     

饱和土体瞬态响应有限元分析

给出基于Biot多孔介质理论分析饱和土体在动载荷作用下瞬态响应的有限元公式,数值计算部分采用本文有限元法分别计算一维饱和土柱在两种不同类型动载荷作用下的瞬态响应,并将数值计算结果与文献中的解析解进行比较,二者结果十分吻合,从而验证本文方法的可行性。     

固结比对石灰土动力特性的影响试验研究

以石灰改性膨胀土为研究对象,结合铁路路基实际的非等向固结状态,考虑了不同固结比或偏应力对石灰改性膨胀土动力特性的影响。通过循环振动三轴试验,对掺灰比为3 %石灰改性膨胀土,在选定的6组固结比下表现出的动力特性进行了研究,得出了固结比或偏应力的变化对其产生的影响。在研究的固结比范围内,随着固结比和偏应力的增大,石灰土的动弹模量显著地增大;阻尼比则相应地表现出减小的趋势,但所受影响程度较之动弹模量略小。     

土层随机地震反应分析中侧向边界的影响分析

研究了随机地震激励下土层地震反应及土-结构相互作用分析中有限土域的取值范围对计算精度的影响。分别以基岩白噪声谱和杜修力修正基岩谱作为输入,进行了土层随机地震反应分析,探讨了自由边界、固定边界和黏弹性边界3种人工边界条件下土域的取值范围、土介质阻尼和土体长深比（L/H）对土层随机地震反应的影响,给出了侧向人工边界合理位置的具体建议。在此基础上,选取土体的合理边界范围,建立土-结构相互作用分析模型,分别以基岩白噪声谱、杜修力修正基岩谱以及实测地震波功率谱作为输入,进行了土-结构相互作用体系随机地震反应分析,计算结果验证了侧向人工边界取值在土-结构相互作用体系随机地震反应分析中的有效性。     

长春市不同土地利用生境土壤甲虫群落结构特征

在长春市郊区天然次生林、农田、防护林和市区公园绿地等典型土地利用生境共捕获土壤甲虫32科598只,其中幼虫13科312只,成虫25科286只。应用个体密度、类群数量、群落多样性、丰富度和均匀度等指数,研究土壤甲虫的群落生态结构特征,了解土地利用差异对土壤甲虫群落结构的影响。研究结果表明:长春市不同土地利用生境凋落物的移除对土壤甲虫群落结构没有产生显著影响;农田土壤甲虫群落类群数、个体密度和多样性的降低源于生境作物品种单一和周期性的农田生产活动,防护林在空间上起着相邻农田物种交流廊道的作用;提高生境土壤甲虫群落类群数、个体密度和多样性的关键之一是保持生境类型的复杂性。     

低山丘陵区土地利用方式对土壤质量的影响—以河北省遵化市为例

通过调查河北省遵化市低山丘陵区油松林、板栗、草地和坡耕地等典型土地利用方式对土壤养分和土壤容重的影响，土地取样取土壤表层0-20cm，结果表明，森林的砍伐以及随后的耕种显著增加了土壤容重并降低了大部分土壤养分。和林地相比，草地、当年开垦的农地、板栗和耕种3年的农地容重分别增加了13.3%，14.2%,27.5%,39.7%。除全磷外，板栗和耕种3年的农地土壤养分有显著下降，和林地相比，板栗有机质减少了60.7%，全氮减少了35.6%，全钾减少了21.3%，速效钾减少了57%；耕种3年的农地土壤有机质、全氮、全钾和速效钾则分别减少了62.9%,52.6%,31%和60%。土壤退化指数的计算结果表明板栗和耕种3年的农地土壤发生了较为严重的退化。