Vegetation coverage area surface runoff determination method

Abstract

The invention relates to a vegetation coverage area surface runoff determination method, under the support of remote sensing data, a water conservation amount model and a Zhang model are improved andintegrated, and a new method capable of calculating the surface runoff on a vegetation coverage area space pixel scale is constructed based on a vegetation coverage area water amount balance equation.Real-time dynamic multi-space remote sensing data is utilized to calculate vegetation canopy interception water quantity, vegetation dry branch and fallen leaf interception water quantity, soil waterstorage variation, vegetation water source conservation quantity, vegetation evapotranspiration quantity and vegetation runoff yield, so that the traditional regional investigation work with long monitoring time, large monitoring workload and labor and money consumption is avoided; the invention breaks through the limitation of meteorological hydrological station data in a research area and on-point evaluation in a traditional method, realizes long-time dynamic estimation of the surface runoff on the spatial pixel scale of a regional and global vegetation coverage area, and has the advantagesof high efficiency, quickness, accuracy and suitability for large-area vegetation coverage areas.

Description

technical field [0001] The invention relates to the fields of ecological environment monitoring and water resource utilization, in particular to a method for determining surface yield in a vegetation-covered area. Background technique [0002] Surface runoff in vegetation-covered areas is an important part of surface water resources, and it is also an important source of water resources in rivers and lakes. Monitoring the characteristics of surface runoff in vegetation-covered areas is not only of great significance for the study of ecological hydrological processes, but also for the protection of surface water resources. Evaluation and utilization as well as agricultural production and ecological restoration all play an important role. At present, the monitoring and evaluation of surface runoff in vegetation-covered areas is mainly focused on the watershed and regional scales, and there is a lack of necessary technical support for research on spatial pixels. Traditional re...

AI Technical Summary

Problems solved by technology

Traditional research mainly relies on the construction of slope runoff pools to conduct monitoring research based on specific slope point lines. The monitoring time is long and unsustainable. It is greatly affected by weather and human interference, and the monitoring results have large errors.

From a regional point of view, the monitoring area is small, the cost is high, and the cycle is long, so it is difficult to apply to the evaluation and monitoring of large areas

From the data point of view, due to the influence of the weather, the data is difficult to be sustained, and it takes a long time to obtain long-term time series data, and the data can only reveal the runoff characteristics of the monitored slope, and it is difficult to reveal the characteristics of spatial differences. , the data on the slope points cannot support multi-scale spatial area research

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