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Changing Spatial-Temporal Patten Of Wetland In Panyu And Forecasts For Eco-environmental Quality

Posted on:2008-10-24Degree:MasterType:Thesis
Country:ChinaCandidate:Y W ZhengFull Text:PDF
GTID:2120360215996944Subject:Physical geography
Abstract/Summary:PDF Full Text Request
Wetland is the special area between water and lands. It is an important ecosystem. Thelandscape structure dynamic changes of wetland deeply affect on other ecosystems in theworldwide.The paper is based on ecology theory and four remote sensing images to study the wetlandof Panyu. According neural network, it forecasts the trends of the landscape structure dynamicchanges and the eco-environmental quality classifications. The important results have beenwritten down.The contrast of the all kinds of classification shows: The SVM-classification is the bestkinds of all the classifications. Its overall accuracy is all over 85%.The wetland areas are narrowed fatherly.. Forecast the trends of changes: Wetland areas arenarrowed continually. The gravity center of constructed wetland is from southeast to northwest.The gravity center of natural wetland is from northwest to southeast. The gravity center of allwetland is half circle trend.The relative poor regions of eco-environmental quality are in orchard wetland and naturalponds in 1990,including mud-flat and natural ponds in 2000. The relative normal regions ofeco-environmental quality are in mud-flat and fish ponds in 1990,including rice fields and fishponds in 2000. The relative good regions of eco-environmental quality are in rice fields in1990,including rice fields and fish ponds in 2000.In1979 and 2006,all wetlands are the relativebetter regions of eco-environmental quality, but they are different backgrounds. The paperforecasts that the relative normal regions of eco-environmental quality are in mud-fiat in2011 and 2016.According to the study, the government should take strict action to manage mud-flat andcoordinate the relation between economic development and the contradiction between men andthe earth to realize sustainable development of the wetland regions.
Keywords/Search Tags:wetland, remote sensing images, neural network, eco-environmental quality, Panyu
PDF Full Text Request
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