水雨情平台雨量数据

实时雨量监测数据在水文预报中的应用包括洪水预警、水文模型驱动、水库调度和水位控制、水资源管理以及持续监测和数据分析等。 1.通过分析监测点降水量、持续时间和强度，预报员可以评估河流和水库的水位变化，提前发出洪水预警，使民众和相关部门做好应对措施。 2.通过将实时监测的雨量数据与地表情况和河流特征相结合，可以驱动水文模型进行实时水文模拟和预报。这种模型可以根据实时降水情况和地表水状况，预测河流的水位、流量和洪水情况，为水利工程运营和水资源管理提供决策支持。 3.实时雨量监测数据可用于水库调度和水位控制。水库管理人员可以根据实时降雨数据，结合水库容量和径流特征，决策是否需要调整水库的放水量，以保持合理的水位和水流。 4.通过实时监测降雨量，可以评估监测区域的雨水供给情况，并有针对性地制定相关水资源管理策略。 5. 持续监测和数据分析：通过分析降雨的周期性和趋势性变化，可以预测潜在的气象灾害风险，采取相应的预防措施。一、原始数据：来自公司业务采集数据，包含设备编码，行政区划，地址，数据时间，累计雨量值等原始数据字段；5分钟雨量为计算数值。
二、算法规则：当前5分钟雨量的计算方式为：当前时间的累计雨量值减去5分钟前的累计雨量值。即R5 = RN - 5分钟前的RN；备注：采集的原始数据中，累计雨量值RN的封顶值为4095，超过4095则重置为0重新开始累计。计算公式需考虑4095问题，如果5分钟前的RN将要达到4095，当前的RN会因为超过4095而重新累计，则公式计算出的R5是一个较大的负数，需要加上4095再获得结果R5。

The applications of real-time rainfall monitoring data in hydrological forecasting include flood warning, hydrological model-driven simulation, reservoir operation and water level control, water resources management, as well as continuous monitoring and data analysis.
1. By analyzing the precipitation amount, duration and intensity at monitoring stations, hydrological forecasters can assess changes in river and reservoir water levels, issue flood warnings in advance, and enable the general public and relevant authorities to take preparedness actions.
2. By combining real-time monitored rainfall data with surface conditions and river characteristics, hydrological models can be driven to perform real-time hydrological simulation and forecasting. Such models can predict river water levels, flow rates and flood events based on real-time precipitation and surface water conditions, providing decision-making support for water conservancy project operation and water resources management.
3. Real-time rainfall monitoring data can be applied to reservoir operation and water level control. Reservoir managers can determine whether to adjust the reservoir's water discharge based on real-time rainfall data, combined with reservoir capacity and runoff characteristics, to maintain reasonable water levels and flow regimes.
4. By conducting real-time rainfall monitoring, the rainfall supply status of the monitored area can be evaluated, and targeted water resources management strategies can be formulated.
5. Continuous monitoring and data analysis: By analyzing the periodic and trend variations of rainfall, potential meteorological disaster risks can be predicted, and corresponding preventive measures can be taken.
I. Raw Data: Collected from the company's operational business data, it contains original data fields such as equipment code, administrative division, address, data timestamp, cumulative rainfall value, etc.; the 5-minute rainfall is a calculated metric.
II. Algorithm Rules: The calculation formula for the current 5-minute rainfall is as follows: subtract the cumulative rainfall value from 5 minutes prior from the cumulative rainfall value at the current time. Specifically, R5 = RN - RN_5min_ago; Note: In the collected raw data, the capped value of the cumulative rainfall value RN is 4095. Once RN exceeds 4095, it will be reset to 0 and restart accumulation. The calculation formula needs to account for the 4095 limit issue: if the RN from 5 minutes prior is about to reach 4095, and the current RN exceeds 4095 and restarts accumulation, the R5 calculated by the initial formula will be a relatively large negative number, and 4095 must be added to obtain the final valid R5 value.

AI搜集汇总

数据集介绍

特点

水雨情平台雨量数据由浙江天禹信息科技有限公司提供，包含1001条实时更新的雨量监测数据，用于洪水预警、水文模型驱动等水利管理场景。数据包含设备编码、行政区划等字段，并通过特定算法计算5分钟雨量值。