无人机复垦区植被覆盖度提取方法优选

为探寻无人机遥感对矿业复垦区域植被指数覆盖度的快速提取方法,以四川古蔺某硫磺复垦区为研究对象,通过ZC-6型无人机获取高分辨率遥感影像,采用多种植被指数计算方法作为分类器的选择,使用直方图峰谷法、基本全局阈值法及其融合方法确定图像最佳分割阈值,从而获取研究区植被覆盖度结果.结果表明:不同植被指数分类后的结果有所差异,EXG和VDVI植被指数分类后影像界定较为清晰,而NGBDI指数分类最为模糊;单一直方图峰谷法和基本全局阈值法所得分割结果不理想,而将二者融合后的阈值确定法能结合彼此的优势,弥补灰度不明显或多峰现象的缺点;植被覆盖度(FVC)提取精度显示,基于VDVI提取的人为干预条件下FVC的绝对误差和提取误差分别达到0.0409和7.05％,而基于EXG提取的自然条件下FVC的绝对误差和提取误差分别达到0.0366和6.94％,表明利用VDVI和EXG结合B-H融合的方法可有效用于复垦区条件下的FVC提取.     

DPH-环糊精纳米管状聚集体的计算机模拟

1,6-二苯基－1,3,5-己三烯（1,6-diphenyl-1,3,5-hexatriene）（简称DPH）不能与α-环糊精，但可以分别与β-、γ-环糊精通过超分子自组装作用形成纳米管状结构的聚集体.该文采用分子力学和分子动力学模拟对这些聚集体在中性和碱性下条件的理论模型进行了预测，并分析了其主客体间的非键相互作用以及氢键的形成情况.计算结果表明，在碱性条件下，环糊精分子间氢键的消失导致了纳米管状结构的解离；而空腔过小是α-环糊精和DPH之间不能形成纳米管状结构的原因.     

农村闲置宅基地复垦土壤重金属溯源与利用分区

为探明农村闲置宅基地复垦土壤重金属污染情况,以安徽省某山区、山区-平原过渡带和平原区的典型农村闲置宅基地复垦土壤为研究对象,开展宅基地复垦土壤重金属污染评价和溯源分析,提出安全利用分区与管控策略。结果表明,不同地形复垦土壤重金属含量存在差异,地势越高其重金属含量也相应较高,大部分重金属均超过当地背景值,以Hg和As最为明显,但均未超过土壤环境质量农用地土壤污染风险管控标准,属于安全范围之内;内梅罗综合污染指数结果显示,不同地形中As元素存在轻微污染,其他元素均属于清洁状态;Hg在不同地形中潜在生态风险指数均处于很强生态风险水平以上,为综合潜在生态风险系数的主导因子;结合实地调研,进一步通过相关性和主成分分析,Pb、Zn、Cr和Cd可能主要来源于农业污染源与交通污染源,As、Hg主要来源于居民生活污染源,这与闲置宅基地空间分布有关。研究区复垦土壤主要集中于低风险区和中风险区,应从综合监控、预警防控两方面进行管控。研究成果可为农村闲置宅基地土壤复垦和安全利用提供方法支持和经验参考。     

基于熵值组合模型的矿业复垦土壤重金属高光谱反演

探讨组合模型在土壤重金属含量高光谱估算中的可行性,以四川古蔺工矿废弃地复垦土壤为研究对象,采集样品并测得重金属含量(Cd、Cr、Ni、As和Hg)和光谱信息;对土壤光谱进行预处理,探索响应波段;利用PLS、ANN和RF构建单一估测模型;利用熵值法进行较优模型组合。结果表明,4种光谱预处理技术对光谱与重金属含量之间的相关性均有不同程度的提升;单一预测模型MSC-RF模型效果最优,可最大程度对重金属含量进行预测;通过熵值法构建的组合预测模型较单一预测模型效果有所提升,验证集R~2最高达到0.91;表明组合模型能够较大限度利用多种单个模型的样本信息,减少单个模型中随机因素的影响,增强模型的稳定性,对矿业废弃地复垦土壤重金属含量的预测具有更好的发挥作用。     

THE AVERAGE ABUNDANCE FUNCTION WITH MUTATION OF THE MULTI-PLAYER SNOWDRIFT EVOLUTIONARY GAME MODEL

This article explores the characteristics of the average abundance function with mutation on the basis of the multi-player snowdrift evolutionary game model by analytical analysis and numerical simulation.The specific field of this research concerns the approximate expressions of the average abundance function with mutation on the basis of different levels of selection intensity and an analysis of the results of numerical simulation on the basis of the intuitive expression of the average abundance function.In addition,the biological background of this research lies in research on the effects of mutation,which is regarded as a biological concept and a disturbance to game behavior on the average abundance function.The mutation will make the evolutionary result get closer to the neutral drift state.It can be deduced that this affection is not only related to mutation,but also related to selection intensity and the gap between payoff and aspiration level.The main research findings contain four aspects.First,we have deduced the concrete expression of the expected payoff function.The asymptotic property and change trend of the expected payoff function has been basically obtained.In addition,the intuitive expression of the average abundance function with mutation has been obtained by taking the detailed balance condition as the point of penetration.It can be deduced that the effect of mutation is to make the average abundance function get close to 1/2.In addition,this affection is related to selection intensity and the gap.Secondly,the first-order Taylor expansion of the average abundance function has been deduced for when selection intensity is sufficiently small.The expression of the average abundance function with mutation can be simplified from a composite function to a linear function because of this Taylor expansion.This finding will play a significant role when analyzing the results of the numerical simulation.Thirdly,we have obtained the approximate expressions of the average abundance function corresponding to small and large selection intensity.The significance of the above approximate analysis lies in that we have grasped the basic characteristics of the effect of mutation.The effect is slight and can be neglected when mutation is very small.In addition,the effect begins to increase when mutation rises,and this effect will become more remarkable with the increase of selection intensity.Fourthly,we have explored the influences of parameters on the average abundance function with mutation through numerical simulation.In addition,the corresponding results have been explained on the basis of the expected payoff function.It can be deduced that the influences of parameters on the average abundance function with mutation will be slim when selection intensity is small.Moreover,the corresponding explanation is related to the first-order Taylor expansion.Furthermore,the influences will become notable when selection intensity is large.     

再生混凝土在钢管混凝土结构中的应用

再生混凝土技术作为发展生态、绿色混凝土,实现建筑、资源、环境可持续发展的主要措施之一,正日益受到人们的重视。然而,由于再生混凝土结构性能较普通混凝土结构有不同程度的降低,阻碍了再生混凝土在结构工程中应用。将再生混凝土应用于组合结构中,形成钢-再生混凝土组合结构,可以弥补再生混凝土结构性能的不足,还具有十分重要的保护环境的意义。本文探讨了再生混凝土在钢管混凝土结构中应用的可能性。结果表明,再生混凝土应用于钢管混凝土结构中是完全可行的,这为再生混凝土应用于结构工程中提供了广阔的前景。     

浅谈SBS改性沥青的施工质量控制

SBS改性沥青路面施工主要分为沥青混合料的拌合、运输、摊铺、碾压质量控制等.