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Remote Sensing Mathematical Model Of Fluvial Landform In The Lijiang River Basin

Posted on:2020-07-19Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z Q JiaFull Text:PDF
GTID:1360330575981111Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
The water environment,water resources and tourism resources of the Lijiang River basin are affected and restricted by the fluvial landform,change of the morphology and parameters of the river,which will result in change of the ecological environment,and may even cause gradual or abrupt natural disasters.Therefore,we must master the rule of the present situation and development of the Lijiang River geomorphology,and combined with the new tectonic movement,climate,hydrology,human activities on the Lijiang River basin ecological environment comprehensive evaluation and management,we can truly realize the harmonious coexistence of human beings and the Lijiang River,to achieve scientific development and utilization and management of the Lijiang River.Study on the geomorphology of the Lijiang River has a long history,which involves multiple disciplines and forms precious and abundant data of the Lijiang River.However,due to the limitations of conditions,it is not enough to study the Lijiang River using modern river geomorphology theory and advanced technology.The Lijiang River basin covers a large area,with complicated landform and inconvenient transportation.So it is difficult to study the whole basin by using traditional geomorphology method.But,however,remote sensing technology has the advantages of wide vision,multi-spectral and timeliness,is the key to accurate analysis and research of the morphology and evolution of the Lijiang River.Therefore,based on the theory of geomorphology and remote sensing geology,remote sensing technology was displayed to analyze of the characteristic parameters of the Lijiang River basin,including the water level,water quantity,length of the drainage,drainage branch ratio,longitudinal slope drainage,drainage confluence angle,longitudinal valley and hyper/multi-spectral reflectance spectra of water information.Also,the mathematical model of geomorphology and remote sensing in the Lijiang River basin is established from both the land and underwater geomorphology using the mathematical statistics and mathematical analysis.The following research results are mainly obtained:1.Study was emphasized on morphology of the Lijiang River basin water system features,length and elevation characteristics,the Lijiang River landscape remote sensing characteristic parameters and the relationship between the water level of mathematical analysis,summing up the relationship between them,by using mathematical model to establish the Lijiang River basin water system and to display a mathematical model of remote sensing.It is suggested that the quantity,branch capacity,average length,total length and longitudinal ratio of the water system are all related to the semi-logarithmic linear relation of the water system.2.Combined with the Strahler elevation analysis theory,through the method of mathematical statistics and analysis,the average branching ratio,shape of the river valley profile,height and elevation integral value were carried out on the development stage of the Lijiang River through quantitative analysis,so as to establish a mathematical model of remote sensing for the Lijiang River basin development stage.The results showed that the average branching ratio of the Lijiang River basin is 3.49,with the elevation integral value of 23%,and the vertical and elevation curves of the river valley are both concave parabola.It is concluded that the Lijiang River is currently in the old stage of river development.3.On the basis of water remote sensing theory,by using the mathematical method to analyze water depth and water hyper-spectral data in the cross-sectional area of Guilin hydrometric station,looking for the optimal detection band for the depth of water.Furthermore,a mathematical model for remote sensing of the Lijiang River is established based on the Avs-2 hyper-spectral data.The results showed that most sensitive wavelengths of water depth detection in the Lijiang River are 710 nm and 720 nm,and the water depth values obtained by hyperspectral remote sensing mathematical model are basically consistent with the measured values.4.Based on the water remote sensing theory,by using the mathematical method to analyze the QB-2 high resolution multi-spectral image data and the water depth data,so as to establish Lijiang underwater topography based on QB-2 satellite high resolution multi-spectral remote sensing mathematical model.This model was also used to conduct the underwater morphological inversion experiments on the 100 meters of the horizontal section of the water station,and verify the accuracy of the inversion results.The results showed that the residual range of the high-resolution multi-spectral remote sensing water depth inversion model is between 0.028 m and 0.734 m,which is feasible for using remote sensing to invert the Lijiang River.5.On the basis of summarizing the technical methods of land geomorphology and under-water geomorphological remote sensing in the Lijiang River basin,space remote sensing technology,timeliness and spectrum characteristics,multi-scale time series were used based on multi-source satellite remote sensing of the Lijiang River landscape remote sensing dynamic monitoring technique integration system,which is important for further study on remote sensing analysis and research on the Lijiang River landscape.Mathematical model of the water system,development stage of remote sensing mathematical model and topography under hyper/multi-spectral remote sensing model of the Lijiang River is the key and innovative research work in this study.The results are of great significance and valuable for further understanding of the evolution of the Lijiang River and enriching the basic data of and comprehensive management of the Lijiang River.
Keywords/Search Tags:The Lijiang River basin, Remote sensing, Land geomorphology, Under-water geomorphology, Mathematical mode
PDF Full Text Request
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