CSTR:11738.11.ncdc.nieer.db2737.2023
10.12072/ncdc.nieer.db2737.2023
This data includes the spatial distribution of long-term forecast data of the mean of five models of three climate scenarios in Qilian Mountain National Park with a resolution of 1 km from 2020 to 2009, including annual evapotranspiration, soil water, water production, net primary vegetation productivity, drought index, soil erosion, water conservation and habitat degradation index
Based on the predicted data of each ecological environment element simulated by SWAT-DayCent eco-hydrological model after the correction of the measured data of key elements.
By collecting basic data such as terrain, soil, land use, meteorology and hydrology, the eco-hydrological coupling model of the basin where the Qilian Mountain National Park is located is constructed. Based on the observed runoff, sediment data and remote sensing vegetation productivity data of key river sections, the key eco-hydrological readings in the simulated historical stage are calibrated and verified. According to the calibrated model, based on the climate data of the future scenarios (RCP2.6, RCP4.5 and RCP8.5) released by CMIP5, the eco-hydrological model is driven to simulate and predict the eco-hydrological elements of the basin where the Qilian Mountain National Park is located in the future, and the spatial-temporal distribution data of annual evapotranspiration, soil water, water production, net vegetation primary productivity and water and soil loss from 2020 to 2009 are obtained. According to the predicted climate-hydro-ecological key elements, an assessment model of drought, water conservation and habitat degradation is constructed to predict the future spatiotemporal evolution characteristics of the three, and the future spatiotemporal data of drought, water conservation and habitat degradation index with a resolution of 1 km from 2020 to 1999 are obtained. Finally, taking the Qilian Mountain National Park as the boundary, the future forecast data of the ecological environment elements (evapotranspiration, water production, soil water, net vegetation primary productivity, water and soil loss, drought, water conservation and habitat degradation index) of the Qilian Mountain National Park from 2020 to 2009 are obtained through batch cutting.
1. The input data of the model comes from the open database, and its accuracy and quality are guaranteed。 2. The future climate scenario data has passed the deviation correction processing, and has been fully compared and verified with the historical data.3. After the construction of the model, it has been calibrated and verified by the measured data of key elements such as historical monthly runoff, annual sediment discharge, and annual net vegetation primary productivity, ensuring the reliability of the simulation results.
| # | number | name | type |
| 1 | 2019YFC0507400 | National key R & D plan |
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CC BY 4.0 (Creative Commons Attribution 4.0 International License).
