应用BP神经网络预测嵌岩桩竖向承载力的研究

利用BP神经网络,建立了嵌岩桩竖向承载力预测的BP神经网络模型,采用嵌岩桩竖向承载力的实验数据对网络进行了训练,并以此训练好的BP神经网络对嵌岩桩承载力进行了预测。预测结果表明,该模型具有很高的预测精度,为预测嵌岩桩承载力提供了一种新的方法。     

煤矿风井轴流风机噪声控制设计计算

煤矿风井轴流风机气流速度大,扩散口噪声辐射强度高达113dB(A),降噪难度较大的低频成份突出。正确合理的低频噪声控制设计计算是噪声控制成功的关键。     

控制系统在污水处理中的应用

介绍了污水控制系统的工艺流程、系统配置和软件设计，并对由PLC和上位机组成的自动控制系统的主要功能进行了说明。上位机通过组态软件设计承担监控和管理任务，下位机通过编程软件实现实时数据采集和自动控制功能。     

民国前期荆江两岸地区洪水灾害若干特征分析

“万里长江，险在荆江”，民国前期（1912-1927）荆江两岸地区水灾频仍．在荆江两岸地区1912-1927年洪水灾害相关资料的基础上，运用一般统计方法和理论分析了这一时期洪水灾害的若干特征，即普遍性、连续性、积累性和区域性四个特征．对洪水灾害基本特征及其规律的探讨至今对于有效的进行水患治理与防治仍有着深远的影响．     

炼油厂污水的综合治理

针对近年炼油厂高污染负荷污水增加问题,就采取预处理措施减少污染负荷及改进污水处理工艺提高污水处理能力进行了探讨,并提出污水综合治理方案.     

长荡湖水环境现状及控制措施

长荡湖为太湖流域一过水型、浅水草型湖泊 ,受过水水质和湖内水产业的过度开发 ,造成湖水质量逐年下降 ,湖水质量已处于Ⅴ类和富营养状态。针对存在的问题 ,提出了控制建议     

天然林保护与东北地区水患治理方略

从天然林水文功能出发，阐述了东北地区天然林削减及其与洪涝灾害的关系，提出了东北地区水患治理方略。同时建议建立防汛信息系统，提高暴雨和洪水预报准确率以及防洪保险灾后重建。     

燃煤倒焰窑烟尘治理方案初探

结合某燃煤倒焰窑烟尘治理的实践 ,探讨炉前治理技术解决烟尘污染问题的方法 ,介绍了催化燃烧方法的基本原理以及燃烧装置、控制系统等的设计方法 ,分析了该系统的优缺点并提出了改进的方法     

Mitigation of the Impact of Tropical Cyclones in Northern Australia through Community Capacity Enhancement

Community mitigation of hazard impact requires hazard knowledge and preparedness on the part of the members of diverse and complex communities. Longitudinal research in the tropical cyclone prone north of Australia has gathered extensive datasets on community awareness, preparedness and knowledge, in order to contribute to education campaigns and mitigation strategies. Data have been used to identify issues of vulnerability to cyclones and capacity to deal with the hazard. This has been developed as a community vulnerability and capacity model that may be applied to diverse communities in order to assess levels of capability to mitigate and deal with the cyclone hazard. The model is presented here in a simplified form as its development is evolving and ongoing.     

Institutional and cost implications of multi-project baselines

Starting from a theoreticalnotion of capacity building this paperfocuses on the implications ofmulti-project baselines for costs andinstitutions. Availability of data and thelevel of data aggregation determine to alarge extent the cost of derivingmulti-project baselines. For localinstitutions this implies that theircapacity development needs are linked todecisions made on strictness of baselines.The initial higher costs of multi-projectcalculations in the development stage areeasily offset once more projects will usesuch a baseline. This paper argues theseinitial demands are not as high asexpected. Multi-project approaches willreduce transaction costs, especially forsmall-scale projects, will reducevalidation costs and likely reduce humanresource demands in other stages of theproject cycle.