Carbon, nitrogen, phosphorus, sulfur and potassium are important basic life elements of ecosystem. It plays an important role in revealing the impact of its regional variation and spatial pattern on human activities and the sustainable development of ecosystem in the future. The Qinghai Tibet Plateau has unique alpine vegetation types and rich vertical zone landforms and surface cover types. The biogeographic pattern of surface elements (carbon, nitrogen, phosphorus, sulfur, potassium) is an important manifestation of the coupling of carbon, nitrogen and water cycle processes and related mechanisms of alpine ecosystems. This dataset focuses on the distribution pattern and spatial variation of surface materials (plant leaf branch stem root and litter) in the complex ecosystem of the Water tower area of Qinghai Tibet Plateau and Himalayan Mountains, in order to provide data support for regional model simulation and ecological management.
LI Mingxu
The data is 1:250000 topographic data of the Himalayan mountains where the Himalayan mountain basin is located. It is extracted by strm90m elevation data entity according to the Himalayan mountain boundary mask in ArcGIS software. It is 90m grid resolution. Because DEM describes the ground elevation information, it is widely used in the fields of Surveying and mapping, hydrology, meteorology, geomorphology, geology, soil, engineering construction, communication, military and other national economy and national defense construction, as well as humanities and natural sciences. In terms of flood control and disaster reduction, DEM is the basis for hydrological analysis, such as catchment area analysis, water system network analysis, rainfall analysis, flood storage calculation, inundation analysis, etc.
WANG Zhonggen
During the thematic implementation period (2019-2021), the data set collected sediment samples of typical dam break flood in the middle of the Himalaya mountains through the field, including sample number, longitude and latitude of sampling points and other field data. Through sample data processing, testing and analysis, the relevant parameters of high-energy flood scale in Yarlung Zangbo River Basin, such as water depth, flow velocity and so on, changing with time, were obtained. The simulation results can provide reference for the analysis of flood dynamic process in corresponding basins, and preliminarily reveal that the high-energy ancient flood in Yarlung Zangbo provides a direct erosion power source for the "tectonic tumor" model of the Grand Canyon, which may lead to the change of the Indian ocean current and may cause disastrous damage to the ancient humans in the lower Ganges plain.
LIU Weiming
This data includes: 30m mountain flood comprehensive risk data, 30m mountain flood risk data, 30m mountain flood disaster bearing body data and 30m mountain flood vulnerability distribution data in the Himalayas. Based on the results of national investigation and evaluation of mountain flood disasters, the distribution of comprehensive risk indicators of mountain flood disasters in the study area, the distribution of mountain flood risk indicators in each administrative village, the distribution of mountain flood disaster bearing body indicators and the distribution of mountain flood vulnerability indicators are obtained, forming the comprehensive risk distribution data of mountain flood disasters in the Himalayas. This data is helpful to analyze the spatial variation characteristics and distribution law of mountain flood disaster. The zoning of mountain flood disaster risk plays a guiding role in the flood control management and deployment of flood control emergency departments.
WANG Zhonggen
This data set contains the data of Himalayan river system network and small watershed distribution. The water network data is extracted according to the national level 6 river network data of Haihe edition and the Himalayan range mask, which is vector data. The water system can be used to determine the basin area and calculate the characteristic parameters of the water system, such as river network density, river system development coefficient, river system non-uniformity coefficient, etc. it can also be used as flood confluence path routing. The distribution data of small watersheds is the distribution data of 1:1 million small watersheds in the Himalayas. Based on the national mountain flood disaster investigation and evaluation results, the concentration time distribution of small watersheds in the study area is obtained to form the concentration time distribution data of small watersheds in the Himalayas.
WANG Zhonggen
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