The Application Study of RS
and GIS Technology in Environmental Remote Sensing Investigation of She Fu
-- Dongsheng Coal fields In China Lei Jiannian Gao Huijun Qiu
Shaopeng Zhang Guangchao Zhang Feng Abstract(Remote Sensing Application Institute of ARSC,Xi'AN 710054 China) The regional invesgation and evaluation quality becomes global focus with the conception of continued development accepted universally .In 1998,Remote Sensing Application Institute of ARSC completed the investigation of ShenFu - Dongsheng coal fields which was implemented by means of remote sensing and GIS technique .The project provided the scientific evidence as a successful attempt regarding the policy of both reasonable coal exploitation and environment protection. The investigation of environment quality was owed to TM image interpretation combining with field investigation and ground reflective wave test. The analysis of environment quality was based upon multi-period remote sensing interpretation and routine inspection data. Remote sensing information and routine information were conducted by quality synthetic evaluation system attributing to GIS Application which enabled coal field environment quality synthetic evaluation to come true and the proposals to put forward concerning coal exploitation environment protection and management. TM5,4,3 wave synthetic image obtained in 1987 and 1996 with the enlargement at the scale of 1:1000 by means of mosaic proof -reading benefits the field investigation assuring indoor mapping with accuracy. Not only does the image provide the vision of landforms, vegetation, earth's surface ingredients, coal mining, transport and other large-scale engineering projects but also it makes a good response to air pollution aroused by some polluting sources as small coal pit, coke pit without exception of building, power, and iron-smelting enterprises. The investigation of environment quality begins with primary interpretation. It conducts the investigation in typical area as the first procedure and establishes the interpretation sign as an environment factor on TM image. Then the investigation perfect the interpretation sign expanding to the whole area.6 maps of environment quality covering 33,000 km2 respectively at the scale of 1:100,000 are implemented by environmental interpretations and investigation with the application of MICROSTATION geologic mapping software pack. The spatial distributing features were accurately represented by the forms of vegetation desertization,soil erosion,surface water pollution,air pollution,solid waste and other elements. Through the interpretation of multi-period remote sensing image and the comparative analysis of routine data,the environment factor develops as a trend of less soil desertization after 1987. Severe and average desertization reduced 28.5%. Soil erosion remarkably lessened. In 80's,river silt discharge decreased 56.18% compared with 50's and 60's. Environment quality synthetic evaluation system is based upon layer analysis theory raised by American operational researcher T.L.santy and GIS technology. The evaluation cannot be conducted by manual work because of its large range and huge data. However,it is the compute with ARC/INFO3.4 software that devotes to the establishment of managing system ranging from digital mapping of environment factor,the calculation of weight in different layers,imitation and environment factor data synthetic processing to the display of synthetic evaluation achievements. The total 24 maps were completed in the investigation. The coal field environment quality is classified as the degree of 3 class 9 in the first ration accordingly. They represent the characteristics of environment quality spatial distribution. These characteristics indicate that the environment quality in whole area is poor,the good quality part merely takes 16.61% of whole area; the framework of environment quality manifests south superior to morth and west superior to east. As coal mining construction is developing rapidly ,environment quality has worsened severely in middle are. |