垃圾焚烧灰治理垃圾渗滤液重金属污染的试验研究

通过垃圾焚烧灰对模拟垃圾渗滤液重金属废水的正交吸附实验研究,并讨论其对重金属吸附的一般规律及pH、加入量和振荡时间几个影响因素对吸附效果的影响.研究结果表明:在一定的pH、加入量和振荡时间下,垃圾焚烧灰对Pb、Ni、Cd、Mn、Zn、Cr有一定的吸附效果,最大吸附率分别可以达到100%、84.18%、96.74%、93.52%、99%、81.69%.焚烧灰对重金属的吸附能力表现为Pb＞Mn＞Cd＞Zn＞Ni＞Cr.各影响因素对重金属吸附效率的影响大小顺序表现为pH＞加入量＞振荡时间,pH值对吸附率的影响最大,为主要影响因素.     

钢筋混凝土渡槽结构地震反应数值分析

首先介绍了钢筋混凝土渡槽结构在地震荷载作用下的分析理论,根据这些理论建立了渡槽结构的动力有限元分析模型,分别采用干模态法、附加质量法和ALE法考虑渡槽结构液固耦合作用,通过具体的工程算例,对钢筋混凝土渡槽结构进行了不同工况下的数值模拟研究,包括混凝土非线性材料分析、渡槽结构静水与动水响应分析、渡槽结构自振特性分析和槽墩的能力曲线分析。研究表明,考虑固液耦合作用的渡槽实体有限元模型能较好地模拟渡槽结构地震反应,并得到相应的渡槽结构地震反应规律。     

甘肃省金矿资源预测模型及潜力评价

为了更加科学有效地部署甘肃省金矿勘查找矿工作,必须对全省金资源总量作出定量预测,对省内各成矿带的金资源潜力作出定量评价。文章对甘肃省已发现的429处金矿床(点)的资料及全省1∶20万区域化探资料进行了统计和研究,建立了甘肃省金资源总量丰度估算模型、品位-储量回归预测模型及全省各成矿带金资源潜力分布模型。通过定量预测得知,甘肃省金资源总量的上限值为3166t,金资源总量为2420.6t;西秦岭成矿带的金资源潜力最大,占全省金资源潜力的37%,祁连成矿带次之,占24%,扬子成矿带占15%,北山成矿带占13%。据甘肃省岩金资源回归预测模型,岩金矿床在甘肃省具有极大的资源潜力。     

基于深度学习的海温观测数据质量控制应用研究

基于国家海洋信息中心质量控制后的西太平洋10度方区约100万站次温盐实测历史调查资料,对经过26种严格质量控制方法的综合海温质量符进行分类分析,首次将深度学习技术应用于海洋数据质量控制多分类(multiclass classification)算法与应用研究.通过人工合成少数类样本和加权损失函数方法减少多数类的频率来降...     

浅谈信息化测绘在土地利用与管理中的应用

当今社会,土地的利用与管理工作与人们的日常生活密切相关,小到居民住房的购买,大到国家的土地利用总体规划,其工作成效直接影响着人民生活的安居乐业和国家的长治久安。随着测绘相关技术的日臻完善,我国的测绘体系经历了由传统测绘向数字化测绘的转变,目前正在向信息化测绘过渡。信息化测绘是测绘行业发展的必然趋势,其高效的作业模式必然会给土地的利用和管理提供巨大的便利。首先介绍了信息化测绘的内涵及技术体系,然后探讨了信息化测绘技术在土地利用和管理中的应用,最后对信息化测绘技术在土地利用与管理上的发展前景进行了展望。     

寻路地图设计中相关问题研究

以郑州市街头的寻路地图为例,对其设计现状进行了分析,指出了这些地图的特点和其在设计上存在的不足之处.根据寻路地图的目的和用户的特殊性,制作了寻路地图样图,并就其在定向和路线选择等方面进行了试验,对实验结果进行了分析和研究.结果表明地图内容、参考方向和地图符号是影响用户定向和路线选择的主要因素.以此为基础,得出了寻路地图设计中应当遵循的一些规律.     

Post-depositional modification of NO-3 in snow layers at EastAntarctica and at the headwater of ürumqi River

Acidic species, such as Nitrate, in polar snow and firn layers are “reversibly” deposited, and are sufficiently volatile to undergo significant postdepositional exchange between snow/firn and the atmosphere. Through comparison of the snowpit and snowpack nitrate concentrations from central East Antarctica and the headwater of ürumqi River, we conclude that the nitrate peaks in the uppermost surface snow layers in central Antarctica are not related to an atmospheric signal and must account for post-depositional effects. Such effects, however, are not found in the surface snowpack nitrate profiles from the headwater of ürumqi River. Two reasons may account for the post-depositional difference. At first, nitrate in the polar snow and firn layers appears to be hydrated ion, which can be taken up by the atmosphere, while at the headwater of ürumqi River it seems mainly as mineral ion, which assembles the behavior of aerosol-derived species that are “irreversibly” deposited and do not undergo significant post-depositional exchange with the atmosphere. Secondly, the chemical features of the snow and ice on the Antarctica are mainly determined by wet deposition, to the contrary, dry deposition is more significant at the headwater of lUrumqi River than that on the East Antarctic Plateau.     

从永夏陈四楼煤矿水文地质特征看岩溶陷落柱并不存在

根据区域和矿区地质资料 ,结合岩溶陷落柱的形成地质条件进行认真的分析研究 ,得出了否定的认识 ,对正确认识永夏矿区的水文地质条件 ,有效地开展矿井防治水工作 ,正确指导生产有重要意义。     

基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因（英文）

The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the multi-factor synthesis are still relatively lacked. In this study, the simulation of soil erosion and its quantitative attribution analysis have been conducted in different geomorphological types in a typical karst basin based on the RUSLE model and the geodetector method. The influencing factors, such as land use type, slope, rainfall, elevation, lithology and vegetation cover, have been taken into consideration. Results show that the strength of association between the six influencing factors and soil erosion was notably different in diverse geomorphological types. Land use type and slope were the dominant factors of soil erosion in the Sancha River Basin, especially for land use type whose power of determinant(q value) for soil erosion was much higher than other factors. The q value of slope declined with the increase of relief in mountainous areas, namely it was ranked as follows: middle elevation hill> small relief mountain> middle relief mountain. Multi-factors interactions were proven to significantly strengthen soil erosion, particularly for the combination of land use type with slope, which can explain 70% of soil erosion distribution. It can be found that soil erosion in the same land use type with different slopes(such as dry land with slopes of 5° and above 25°) or in the diverse land use types with the same slope(such as dry land and forest with a slope of 5°), varied much. These indicate that prohibiting steep slope cultivation and Grain for Green Project are reasonable measures to control soil erosion in karst areas. Based on statistics of soil erosion difference between diverse stratifications of each influencing factor, results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small relief mountain and middle relief mountainous areas. Therefore, the spatial heterogeneity of soil erosion and its influencing factors in different geomorphological types should be investigated to control karst soil loss more effectively.