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根据钢筋混凝土多层框架的设计经验和设计规范,对如何调整电算结果中的梁,柱截面尺寸,配筋率,裂缝宽度和梁,柱配筋等问题进行探讨,并提出相应的建议。 相似文献
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高晓勤 《中国安全生产科学技术》2006,2(6):108-110
定量化风险管理技术有其无可比拟的优势,但无法对风险因素中的人为因素进行管理。本文通过分析量化管理的缺陷和定性化管理的优势,提出应根据具体情况,采用定量化与定性化管理相结合的管理方式,并提出定性化管理的具体方法。 相似文献
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提高洪水智能预报中洪峰预报精度方法的研究 总被引:1,自引:0,他引:1
针对防洪减灾的实际需要,对如何提高智能网络对洪峰的预报精度问题进行了深入系统的研究,提出了峰值放大修正系数和遗传算法优化网络初始权重相结合的改进算法,历史资料的检验结果表明了这些改进策略的有效性和可靠性. 相似文献
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新疆中低产田发展人工草地的初步研究 总被引:3,自引:0,他引:3
从新疆天然草地的利用,农业面临的问题出发,说明在绿洲内发展人工草地的必要性。针对全疆中低产田特点,将其分成7种基本类型。按类型总结出相应适生的饲草种类。通过人工种植这些饲草,达到合理利用改良耕地的目的,进而带动整个农业产业结构的调整,建立起适宜新疆农业发展的草地农业模式。 相似文献
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Ashu Jain Lindell E. Ormsbee 《Journal of the American Water Resources Association》2004,40(6):1617-1630
ABSTRACT: This paper presents the findings of a study aimed at evaluating the available techniques for estimating missing fecal coliform (FC) data on a temporal basis. The techniques investigated include: linear and nonlinear regression analysis and interpolation functions, and the use of artificial neural networks (ANNs). In all, seven interpolation, two regression, and one ANN model structures were investigated. This paper also investigates the validity of a hypothesis that estimating missing FC data by developing different models using different data corresponding to different dynamics associated with different trends in the FC data may result in a better model performance. The FC data (counts/100 ml) derived from the North Fork of the Kentucky River in Kentucky were employed to calibrate and validate various models. The performance of various models was evaluated using a wide variety of standard statistical measures. The results obtained in this study are able to demonstrate that the ANNs can be preferred over the conventional techniques in estimating missing FC data in a watershed. The regression technique was not found suitable in estimating missing FC data on a temporal basis. Further, it has been found that it is possible to achieve a better model performance by first decomposing the whole data set into different categories corresponding to different dynamics and then developing separate models for separate categories rather than developing a single model for the composite data set. 相似文献
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Abedalrazq F. Khalil Mac McKee Mariush Kemblowski Tirusew Asefa 《Journal of the American Water Resources Association》2005,41(1):195-208
ABSTRACT: Water scarcity in the Sevier River Basin in south‐central Utah has led water managers to seek advanced techniques for identifying optimal forecasting and management measures. To more efficiently use the limited quantity of water in the basin, better methods for control and forecasting are imperative. Basin scale management requires advanced forecasts of the availability of water. Information about long term water availability is important for decision making in terms of how much land to plant and what crops to grow; advanced daily predictions of streamflows and hydraulic characteristics of irrigation canals are of importance for managing water delivery and reservoir releases; and hourly forecasts of flows in tributary streams to account for diurnal fluctuations are vital to more precisely meet the day‐to‐day expectations of downstream farmers. A priori streamflow information and exogenous climate data have been used to predict future streamflows and required reservoir releases at different timescales. Data on snow water equivalent, sea surface temperatures, temperature, total solar radiation, and precipitation are fused by applying artificial neural networks to enhance long term and real time basin scale water management information. This approach has not previously been used in water resources management at the basin‐scale and could be valuable to water users in semi‐arid areas to more efficiently utilize and manage scarce water resources. 相似文献