This data set is the runoff and sediment observation data of runoff station in xindiangou watershed from 1980 to 2009. Through the observation of water level of runoff section measured by runoff station and sediment sampling, the runoff and sediment volume during runoff production are calculated. The data set includes the results of measured discharge of runoff station in xindiangou watershed, the excerpt of flood hydrological elements, the results of successive flood tests, the daily average discharge, the daily average sediment concentration and the daily average sediment transport rate.
|collect time||1954/01/01 - 1960/12/31|
|altitude||2.0m - Nonem|
|data size||328.1 KiB|
Manual timing observation
1. The method of observing the water level of the runoff station is: read the water gauge of the current measurement section of the current measurement section. It is observed once every day during the non-flood season. If there is rainfall, the daily water level changes slowly at 8 o'clock and 20 o'clock. Twice; Observe four times at 2 o'clock, 8 o'clock, 14 o'clock, and 20 o'clock when the daily water level changes greatly or there are slow peaks and valleys. Observe the multiples of 6 minutes when the water level changes drastically during the flood season. 2. Flow measurement method of the runoff station in the test field: Basel water measuring tank is adopted for flow measurement, and the flow calculation adopts the push flow formula. 3. Sediment sampling and treatment: The sediment on the current measurement section is sampled by the Zhonghong buoy method. The number of times of taking sand depends on the number of times of flood level changes. During flood peaks, the number of samples is increased to control the change of sediment content. Samples were processed using the displacement method. p>
Manual observation shall be conducted by professional technicians; during data entry, four levels of manual verification shall be conducted, including tabulation, primary calibration, re calibration and audit, so as to ensure data quality.
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