摘要
Based on the TM remote sensing interpretation of land use data of a non-point source pol uted area in southern China in 2015, supported by ArcGIS and the fractal theory, this paper established the perimeter-area fractal equation of the spatial structure of land use types, quantitatively calculated the fractal dimension and stability index of various land use types in this non-point source polluted area in 2015, and analyzed the spatial structure characteristics of land use types. The results showed that the fractal dimension values of the different land use types in the research area ranged 1.141–1.657, and the whole fractal dimension of the research area was 1.206. To be specific, the fractal dimension values of unused land, grass land and rural residential land were high, and the fractal dimension values of dry land, paddy filed and waters were low, and the fractal dimension values of urban land, industrial traffic construction land and forest land were moderate. The area of the land use types whose stability index values were 0.2–0.4 accounted for 89.5% of total area, suggesting that the stability of the spatial structure of land use types of Beibei District in 2015 was not high generally. The rural residential land and urban land of the research area should be planned and managed more properly from now on.
Based on the TM remote sensing interpretation of land use data of a non-point source pol uted area in southern China in 2015, supported by ArcGIS and the fractal theory, this paper established the perimeter-area fractal equation of the spatial structure of land use types, quantitatively calculated the fractal dimension and stability index of various land use types in this non-point source polluted area in 2015, and analyzed the spatial structure characteristics of land use types. The results showed that the fractal dimension values of the different land use types in the research area ranged 1.141–1.657, and the whole fractal dimension of the research area was 1.206. To be specific, the fractal dimension values of unused land, grass land and rural residential land were high, and the fractal dimension values of dry land, paddy filed and waters were low, and the fractal dimension values of urban land, industrial traffic construction land and forest land were moderate. The area of the land use types whose stability index values were 0.2–0.4 accounted for 89.5% of total area, suggesting that the stability of the spatial structure of land use types of Beibei District in 2015 was not high generally. The rural residential land and urban land of the research area should be planned and managed more properly from now on.
引文
[1]Mandelbrot,B.B.(1967).How long is the coast of Britain?Statistical self-similarity and fractional dimension.Science,156(3775),636-638.
[2]Zhao,Y.H.,Zhao,H.&Xu,J.X.(2007).Spatial evolution of landscape pattern of mining area based on fractal dimension.Research of Soil and Water Conservation,24(2),36-41.
[3]Dong,H.Y.(2007).Spatial pattern change of land use types in Gaoling district of Xi’an based on fractal theory.Journal of Anhui Agricultural Science,45(31),199-201.
[4]Zou,M.&Zhang,W.W.(2016).Fractal analysis on spatial structure of land use types in the sea coastal zone of Yantai city.Research of Soil and Water Conservation,23(1),92-97.
[5]Xia,L.,Shi,Z.T.&Zhao,Y.et al.(2016).An analysis of land use types spatial structure in Nanting river basins.China Rural Water and Hydropower,(5),41-45.
[6]Lu,D.B.,Yu,Z.&Mao,W.L.et al.Research on the spatial structure of the mountainous land use types based on GIS and fractal theory.Research of Soil and Water Conservation,23(2),220-224.
[7]Liu,F.,Xie,D.T.&Wang,S.(2018).Evaluation of source-sink risk pattern of agricultural non-point source pollution in cultivated land based on MCR model-Taking Beibei District of Chongqing City as an example.Jiangsu Agricultural Sciences,46(14),253-259.
[8]Cao,Y.L.,Li,C.M.&Pei,P.(2007).Evaluation and cluster analysis of non-point source pollution in the Three Gorges Reservoir area of Chongqing.Journal of Agro-Environment Science,26(3),857-862.
[9]Yang,Z.M.,Chen,Y.C.&Wei,S.Q.(2009).Systems analysis of factors affecting agricultural non-point source pollution in Chongqing.Journal of Agro-Environment Science,28(5),999-1004.
[10]Pan,R.Y.(2016).Land cover change and benefit evaluation of New Town Development Zone(Master’s thesis).Retrieved from China National Knowledge Infrastructure.
[11]Retrieved from http://www.dsac.cn/
[12]Zuo,Y.Q.,Liu,W.&Zhu,D.J.et al.(2004).Cultivated land changes in urban area of Wanbailin District.Transactions of the Chinese Society of Agricultural Engineering,20(1),293-297.
[13]Xu,J.H.,Ai,N.S.&Jin,J.et al.(2002).Study on fractal characters of desert and desertification.Journal of Desert Research,22(1),6-10.