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Remote Sensing Monitoring Of Mine Development And Recovery In Hainan Province

Posted on:2021-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:P W LiFull Text:PDF
GTID:2370330602472334Subject:Geological engineering
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Mineral resources are the essential material basis for social development.With the rapid economic growth,the contradiction between economic development and environmental damage caused by mining has become increasingly prominent.For a long time,unreasonable mining methods and unauthorized mining have caused serious environmental pollution and damage to mines.At the same time,the landslides,collapses,soil erosion,water pollution and other problems caused by the mining process also have a great impact on the production and life of local residents.Today,the country vigorously advocates that green water and green mountains are golden mountains and silver mountains,which not only need to develop economy but also protect ecological environment,so it is very important to carry out mine environmental management work in the country.The research area of this paper is Hainan Island.High-resolution remote sensing data such as P1,WorldView-2 and GF-2 are used in the key research areas of Haikou,Wenchang and Sanya,respectively,and medium-resolution remote sensing data such as SPOT6 are used as data in other areas.In combination with the geological background,mining right,geographical data,historical Mine Remote Sensing monitoring data and other data of the research area,the mine environment in Hainan is evaluated.The article generally understands the current status of the mine environment in Hainan Province from three aspects: mineral resource development status,remote sensing monitoring of mine geological environment and the recovery and management of mines.The details are as follows:The content of mineral resources development includes the newly added(decreased)mine development area and restored governance area in 2017,the types of illegal mines,and the main illegal mining types.And then compared and analyzed the application range and classification effect of several classification methods such as natural discontinuity method,equal interval method,quantile method,standard deviation method,geometric interval method,etc.Finally,the natural discontinuity method was used to calculate the newly developed mine land The area changes,and divides the distribution area of illegal mining hot spots.The contents of remote sensing monitoring of mine geological environment include the types of mine geological disasters frequently occurred in Hainan in recent years,the areas with frequent mine geological disasters and some areas with poor mine geological environment discovered by remote sensing monitoring in recent years.Finally,according to the research results of previous work,Hainan Province is divided into non impact area,general impact area of mine geological environment,serious impact area of mine geological environment and more serious impact area of mine geological environment to evaluate the mine geological environment.The results show that the mine geological environment of Hainan Province is poor except for the Zircaloy area of Wenchang City,Shilu iron mine area of Changjiang County and a few mining areas of Haikou City In addition,the overall mine geological environment of the province is good.This paper analyzes the situation of mine restoration and management and puts forward the restoration and management mode.Including the recovery of governance area in recent years,the main types of recovery governance.Some typical recovery and management modes summarized in the mine recovery and management work,and typical mines with good recovery and management effect in recent two years.The results of mine remote sensing monitoring show that the effect of mine management in Hainan Province is remarkable in recent years,the area of mine re green is increasing significantly,and the mining environment is getting better.
Keywords/Search Tags:mine development and land occupation, geological disaster, restoration and management, mine environment, GIS
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