This dataset is the basic data for the evaluation of flooding catastrophicity factors in the lower reaches of the Yangtze River, which contains the Chase runoff data, precipitation data of meteorological stations, and daily high tide level data of Wusongkou.
The evaluation of flooding causality factors in the lower reaches of the Yangtze River is based on the data of 88 meteorological stations with complete daily precipitation series during 1980-2020, and the analysis of the change characteristics of the causality factors, such as the number of annual precipitation days and the average number of consecutive precipitation days, the concentration of precipitation, the number of days of torrential rainfall, and the amount of torrential rainfall in the lower reaches of the Yangtze River is carried out to provide the data support for the analysis of the resilience of the response to the floods in the next step. Data support was provided, while raster data at 0.1° resolution was obtained using inverse distance weight interpolation to provide a basis for analyzing precipitation changes on a spatial scale.
Based on the day-by-day flow data from 1950 to 2020 at the Datong station, we analyze the change characteristics of the upstream water inflow; based on the day-by-day maximum tide level data from 1956 to 2020 at the Wusongkou tidal station, we analyze the change characteristics of the coastal tide level, which provides support for the analysis of the change characteristics of the flood causative factors.
| collect time | 2022/09/01 - 2022/09/01 |
|---|---|
| collect place | Lower Yangtze River region |
| data size | 6.2 MiB |
| data format | *.xlsx |
| Coordinate system | WGS84 |
| Projection |
Precipitation data are daily precipitation data from meteorological stations provided by the National Center for Meteorological Information (https://data.cma.cn/);
Data on runoff volume at Datong Station and tidal level at Wusongkou are from the Hydrological Statistics Yearbook.
(1) The spatial raster data at 0.1° resolution were obtained by interpolating the precipitation data from 88 meteorological stations by using inverse distance weight interpolation through matlab software;
(2) For the data of the missing years of measurements the data of the previous and the previous years of the data were obtained by the method of linear interpolation to satisfy the consistency of the indicator data.
In terms of precipitation time course changes, the annual and flood season precipitation, the annual number of precipitation days and the average number of consecutive precipitation days, the concentration of precipitation, the number of days of heavy rainfall and the amount of heavy rainfall in the lower Yangtze River region from 1980 to 2020 show an increasing trend, and the precipitation during the flood season and in July, August and September show an increasing trend in the ratio of precipitation to annual precipitation, which, to a certain extent, indicates that the lower Yangtze River region has a concentration of precipitation towards the flood season, and the spatial precipitation decreases from south to north, which is consistent with the actual situation. To a certain extent, it shows that the precipitation in the lower reaches of the Yangtze River is concentrated in the flood season, and the precipitation is decreasing from the south to the north in space, which is in line with the actual situation.
Upstream water changes, 1950-2020, the lower reaches of the Yangtze River upstream water in the annual and flood season scale are downward trend, flood season water accounted for the proportion of the whole year has declined, but the July upstream water accounted for the proportion of the whole year upstream water showed an upward trend, the amount of upstream water in the year was “single peak” type distribution, the peak value of the “single peak” type distribution, the upstream water in the year was “single peak” type distribution, the peak value of the “single peak” type distribution, the peak value of the “single peak” type distribution. The upstream water inflow in the year shows a “single peak” distribution, with the peak in mid-July, which is in line with the actual situation.
In terms of tide level change, the average annual maximum tide level of 1995-2020 reaches 3.67m, which is larger than that of 1956-1991, which is 3.50m, which is in line with the actual situation. Therefore, this dataset can be used as a reliable basic data for the evaluation and analysis of flood causality in the lower reaches of the Yangtze River.
| # | number | name | type |
| 1 | 2021YFC3000100 | Lower Yangtze River Flood Disaster Integration and Control and Emergency De-risking Technology and Equipment | National key R & D plan |
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
| # | title | file size |
|---|---|---|
| 1 | _ncdc_meta_.json | 5.4 KiB |
| 2 | 洪涝致灾性因子数据集 |
| # | category | title | author | year |
|---|---|---|---|---|
| 1 | paper | Characteristics of intra-annual distribution of precipitation and incoming water and the synchronization analysis of their changes in the lower reaches of the Yangtze river basin | Lu,Kaidong,Cui,Tingting,Wang,Yintang,Liu,Yong | 2024 |
| 2 | paper | Study on the Characteristics and Persistence of PrecipitationChanges in the Lower Reaches of Yangtze River Basin | Lu Kaidong, Cui Tingting, Wang Yintang, etc | 2023 |
The lower reaches of the Yangtze River are prone to flooding with high tide levels and upstream inflow
©Copyright 2005-. Northwest Institute of Eco-Environment and Resources, CAS.
Donggang West Road 320, Lanzhou, Gansu, China (730000)

