水文情报
- 网络hydrological information
![水文情报](../cache/1350284.jpg)
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我国水文情报预报工作的主要成就及展望
Achievements and Prospect of Hydrological Information and Forecasting in China
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水文情报预报系统开发中的若干问题探讨
Discussion on Some Key points in Concerning the Development of Hydrological Information and Forecast System
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黄河上游水文情报预报的发展与应用
Development and application of hydrological forecast in the upstream of Yellow River
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继续加强河北省水文情报预报工作的必要性&对96·8暴雨洪水的思考
The Necessity of Continuously Strengthening Hydrology Information & Forecast Work in Hebei Province
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水文情报信息网络系统的安全策略和措施
Hydrological Information Network System Security Policies and Measures
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网络技术在水文情报传输上的应用
Network Technology for Hydrologic Information Transmission
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对96·8暴雨洪水进行了简述,就96·8期间水文情报预报工作进行了回顾。
Through the brief introduction of96 · 8rain-storm flood , it is recalled the hydrology information & forecast in the period of96 · 8rain-storm flood .
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分析了河北省当前水文情报预报工作现状,浅析了继续加强河北省水文情报预报工作的必要性。
It is analyzed that the current hydrology information SC forecast work in Hebei province . , the necessity of continuously strengthening hydrology information SC forecasting work is presented .
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本文介绍了国内外水文情报信息收集、传输和实时处理系统、水文预报系统和水文预报调度自动化系统的发展概况。
This article briefly introduces the case of hydrologic information collection , transmission and real-time processing system , hydrologic forecasting system and hydrologic forecasting regulation automatic system in and out .
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另外,本文采用《水文情报预报规范》中的确定性系数作为目标函数,使得预报结果更加直观。
In addition , the thesis took the certain coefficient in " Forecasting norm for hydrology intelligence " as the objective function in order to make the forecasting result more clear .
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文中通过对此次洪水的水文情报预报,总结出了对预报有益的经验和方法,使吉林省获得减灾效益39.8亿元,其社会效益巨大。
Based on the hydrological information and forecasting of the flood witch obtained decreasing flood loss about 39.8 hundreds million Yuan and the tremendous societal benefits in Jilin province , the paper summarizes some beneficial experiences and methods in allusion to flood forecasting .
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总体上,两个模型拟合程度都很高,都达到了预期效果,拟合结果不管是定性,还是定量上都符合水文情报预报规范的要求。
Overall , the fitting degrees of those two models are very high , and achieved the desired effect . The fitting results , whether qualitative or quantitative , are in accordance with requirements of " Standard for hydrological information and hydrological forecasting " .