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1.
根据我国测绘生产单位的实际情况 ,测绘项目管理的具体实施大致包括对项目的识别、选定、启动与筹集资金、计划、成本估算、执行计划、控制、收尾等主要步骤。当项目确定后 ,需要启动和筹集资金。而计划是项目管理的基本组成部分 ,包括明确项目目标和工作范围。项目成本估算有因素估算法和利用WBS方法的详细估算。项目质量管理规划的依据有质量目标、范围说明、标准和规范等。 相似文献
2.
长江三峡工程地壳形变监测网络 总被引:19,自引:10,他引:9
长江三峡工程地壳形变监测网络,采用了当今高精度GPS、INSAR空间大地测量技术,并与精密水准测量,精密重力测量,精密激光测距和峒体连续形变监测等技术相结合,构成一个空间上点、线、面结合,时间上长、中、短兼顾的高精度,高时空分辨率的地壳形变监测网络。该网络既可获取三峡库区特别是库首区区域形变场和区域应变场的动态变化,监测库区主要断层活动,为水库诱发地震预测及研究服务,又可用于气象、滑坡地质灾害监测等,该监测网络于1997年底开始建设,2001年6月建成,到目前为止,已获得大量宝贵的观测资料,必将产生显著的经济效益和社会效益。 相似文献
3.
Improper design, faulty planning, mismanagement and incorrect operation of irrigation schemes are the principle reasons for
the deterioration of groundwater quality in a large number of countries, in particular in semi-arid and arid regions. The
aim of this study is to determine the dimensions of groundwater quality after surface irrigation was begun in the semi-arid
Harran Plain. Physical and chemical parameters of the groundwater including pH, temperature, electrical conductivity (EC),
sodium, potassium, calcium, magnesium, chloride, bicarbonate, sulphate, nitrate, nitrite, ammonium, total phosphorus, total
organic carbon and turbidity were determined monthly during the 2006 water year. The quality of the groundwater in the study
area was assessed hydrochemically in order to determine its suitability for human consumption and agricultural purposes. In
the general plain, the EC values measured were considerably above the guide level of 650 μS/cm, while nitrate in particular
was found in almost all groundwater samples to be significantly above the maximum admissible concentration of 50 mg/l for
the quality of water intended for human consumption as per the international and national standards. Total hardness reveals
that a majority of the groundwater samples fall in the very hard water category. Interpretation of analytical data shows that
Ca–HCO3 and Ca–SO4 are the dominant hydrochemical facies in the study area. 相似文献
4.
The state of land subsidence and prediction approaches due to groundwater withdrawal in China 总被引:13,自引:6,他引:7
This article gives a general introduction to land subsidence with the prediction approaches due to withdrawal of groundwater
in three subsided/subsiding regions in China: the deltaic plain of Yangtse River (YRDP), North China Plain (NCP), and Fenwei
Plain (FP). On YRDP, Shanghai is the typical subsided/subsiding city; on NCP Tianjin is the typical subsided/subsiding city,
and on FP Taiyuan is the typical subsided/subsiding city. The subsided area with subsidence over 200 mm on YRDP is about 10,000 km2 and the maximum subsided value reached 2.9 m at Shanghai; on NCP the subsided area reached 60,000 km2 with the maximum subsidence of 3.9 m at Tianjing; on FP the subsided area is relatively smaller than that on the other two
plains and is about 1,135 km2 with maximum subsidence of 3.7 m at Taiyuan city. In order to protect the civil and industrial facilities, it is necessary
to predict the future development of land subsidence based on present state. Many researchers proposed several approaches
to predict the land subsidence due to groundwater withdrawal according to different geological conditions and groundwater
withdrawal practice. This article classifies these approaches into five categories: (i) statistical methods; (ii) 1D numerical
method; (iii) quasi-3D seepage model; (iv) 3D seepage model; (v) fully coupled 3D model. In China, the former four categories
are presently employed in the prediction practice and their merits and demerits are discussed. According to the prediction
practice, 3D seepage model is the best method presently. 相似文献
5.
Many formulations have been developed so far to predict the wave height and period from fetch length and wind blowing duration for a constant wind speed. This study aimed to predict wave parameters from fetch length and meteorological factors by using triple diagram methodology based on Kriging principles. Proposed model results were compared with Joint North Sea Wave Project (JONSWAP) model which is used so commonly in the ocean and coastal engineering studies. For the implementation of the methodology hourly wave and wind data were obtained from a buoy located in Lake Ontario. Numerical and graphical comparisons demonstrated that the proposed method outperforms the classical formulation. 相似文献
6.
7.
Deterministic sea-wave prediction (DSWP) models are appearing in the literature designed for quiescent interval prediction in marine applications dominated by large swell seas. The approach has focused upon spectral methods which are straightforward and intuitively attractive. However, such methods have the disadvantage that while the sea is aperiodic in nature, the standard discrete spectral processing techniques force an absolutely periodic structure onto the resulting sea surface prediction models. As it is the shape of the sea surface that is important in such applications, particularly near the end of the domain which is important, the standard windowing techniques used in signal processing work to reduce leakage artifacts cannot be employed. This has necessitated the use of end matching methods that can be both inconvenient and may reduce the fraction of the time for which legitimate predictions are available. As a result, an investigation has been undertaken of the use of finite impulse response prediction filters to provide the necessary dispersive phase shifting required in DSWP systems. The present work examines the theoretical basis for such filters and explores their properties together with their application to both long and short crested swell seas. It is shown that wide band forms of such filters are only convergent in the sense of distributions having both infinite duration impulse responses and asymptotically divergent first derivatives. However, appropriate band limitation can produce useful finite impulse responses allowing implementation via standard discrete convolution methods. It is demonstrated that despite the prediction filters having a non-causal impulse response such filters can be used in practice due to a combination of the asymmetric nature of the impulse response and the fundamental nature of the prediction process. The findings are confirmed against actual sea-wave data. 相似文献
8.
根据1963-1992年嵊山海洋站2月海气感热输送和22a太阳磁周期与降水的关系,提出了一个长江中下游6月降水的综合预报指标,用此指标,对1993年6月长江中下游降水进行回报,结果与实况一致。 相似文献
9.
地质灾害治理工程项目管理是地质灾害管理的具体体现和实施过程,其基本任务是根据地质灾害管理目标和管理方法,组织实施防治工程,保障取得预期的减灾成果。就镇江市地质灾害治理工程项目管理目前现状,从规范文件、招标机构、管理工具、管理经验、干扰因素、风险评价、人员素质等方面进行粗浅分析,并针对存在的问题提出相应的对策,借以提高镇江市地质灾害治理工程项目管理的能力和水平,以便今后地质灾害治理项目管理更好地完善和发展。 相似文献
10.
This article presents the application of a multivariate prediction technique for predicting universal time (UT1–UTC), length of day (LOD) and the axial component of atmospheric angular momentum (AAM χ 3). The multivariate predictions of LOD and UT1–UTC are generated by means of the combination of (1) least-squares (LS) extrapolation of models for annual, semiannual, 18.6-year, 9.3-year oscillations and for the linear trend, and (2) multivariate autoregressive (MAR) stochastic prediction of LS residuals (LS + MAR). The MAR technique enables the use of the AAM χ 3 time-series as the explanatory variable for the computation of LOD or UT1–UTC predictions. In order to evaluate the performance of this approach, two other prediction schemes are also applied: (1) LS extrapolation, (2) combination of LS extrapolation and univariate autoregressive (AR) prediction of LS residuals (LS + AR). The multivariate predictions of AAM χ 3 data, however, are computed as a combination of the extrapolation of the LS model for annual and semiannual oscillations and the LS + MAR. The AAM χ 3 predictions are also compared with LS extrapolation and LS + AR prediction. It is shown that the predictions of LOD and UT1–UTC based on LS + MAR taking into account the axial component of AAM are more accurate than the predictions of LOD and UT1–UTC based on LS extrapolation or on LS + AR. In particular, the UT1–UTC predictions based on LS + MAR during El Niño/La Niña events exhibit considerably smaller prediction errors than those calculated by means of LS or LS + AR. The AAM χ 3 time-series is predicted using LS + MAR with higher accuracy than applying LS extrapolation itself in the case of medium-term predictions (up to 100 days in the future). However, the predictions of AAM χ 3 reveal the best accuracy for LS + AR. 相似文献