曲面零件在拉深过程中内皱时刻及影响因素

进一步推导了曲面零件悬空区上的应力分布及临界失稳公式。然后通过计算机编程 ,求解了临界失稳方程 ,得到了拉深系数、相对锥顶半径、相对圆角半径、材料相对厚度与临界失稳时刻间的关系曲线 ,并对曲线变化的规律进行了分析。     

混凝法在滇池蓝藻暴发期净水除藻的可行性研究

采用精制硫酸铝为混凝剂,L93^4正交法安排滇池蓝藻暴发期混凝沉降除藻除净水工艺实验。结果表明,混凝剂种类、水样pH值对蓝藻去除率有很大影响。研究确定了混凝剂除藻最佳操作条件,为混凝法去除蓝藻的工业化提供了理论和实际操作依据。     

环境管理中“限期治理制度”的有关问题

基于我国法制建设的要求以及市场经济建设过程中所面临的问题，从法律角度出发探讨了我国环境管理制度中的“限期治理制度”，包括其性质及与其他环境管理制度的关系等。从立法上对此制度的完善作了探讨。     

关于公路环境监理专业化问题

根据公路项目的环境管理的现状和公路施工对环境的影响，结合公路环境监理试点工作的实践，提出建立专业化的环境监理队伍，专业化的组织形式，规范化的工作方法等。     

A THEORETICAL TRAVEL TIME BASED ON WATERSHED HYPSOMETRY1

ABSTRACT: The time to hydrograph peak of a watershed basin has been found to correlate with various statistical attributes (e.g., skewness and kurtosis) of its hypsometric curve (treated as probability distribution). This paper presents a theoretical travel time that is conceptually analogous to the time to hydrograph peak and can be calculated directly from the hypsometric curve of a watershed basin based on gravity and acceleration. The theoretical travel times for 23 selected watersheds in the United States are found to correlate significantly with their corresponding hypsometric attributes. In addition, the theoretical travel times are consistent with the times of concentration estimated from the Federal Aviation Administration method. Thus, this paper offers a simple theoretical explanation to the empirically identified linkage between time to hydrograph peak and hypsometric attributes. This theoretical travel time can provide an alternative way of characterizing the effects of basin morphometry on hydrologic response.     

显微构造分析法和包裹体方法在断层研究中的应用

在工程建设中，工地及邻近地区的断层活动性是工程设计的一项重要依据。在总结以往研究的基础上，介绍了显微构造分析法和包裹体方法在断层活动性评价中的国内外最新研究成果。事实表明，这两种方法在工程地质领域具有良好的应用前景。     

孟连,丽江地震前云南天文台时纬残差异常

本文分析了云南天文台光电等高仪自有观测以来的时纬残差异常与云南及其周邻地区大地震的对应关系；并报导了孟连、丽江地震前云南天文台的时纬残差均有明显异常。这再次证明时纬残差的明显异常可为台站周围的强震预测提供可靠信息     

一种DSP+FPGA实时信号处理系统

简要叙述了常用的信号处理系统的类型与处理机结构,介绍了正逐步得到广泛应用的DSP+FPGA处理机结构,在此基础上提出了一种实时信号处理的线性流水阵列,并举例说明了该结构的具体实现,最后分析说明了此结构的优越性。     

BASIN SCALE WATER MANAGEMENT AND FORECASTING USING ARTIFICIAL NEURAL NETWORKS1

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.     

SUMMER LOW FLOWS IN NEW ENGLAND DURING THE 20TH CENTURY1

ABSTRACT: High springtime river flows came earlier by one to two weeks in large parts of northern New England during the 20th Century. In this study it was hypothesized that late spring/early summer recessional flows and late summer/early fall low flows could also be occurring earlier. This could result in a longer period of low flow recession and a decrease in the magnitude of low flows. To test this hypothesis, variations over time in the magnitude and timing of low flows were analyzed. To help understand the relation between low flows and climatic variables in New England, low flows were correlated with air temperatures and precipitation. Analysis of data from 23 rural, unregulated rivers across New England indicated little evidence of consistent changes in the timing or magnitude of late summer/early fall low flows during the 20th Century. The interannual variability in the timing and magnitude of the low flows in northern New England was explained much more by the interannual variability in precipitation than by the interannual variability of air temperatures. The highest correlation between the magnitude of the low flows and air temperatures was with May through November temperatures (r =?0.37, p= 0.0017), while the highest correlation with precipitation was with July through August precipitation (r = 0.67, p > 0.0001).