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基于RS和GIS的巴仁哲里木地区土地利用/覆盖变化(LUCC)研究
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摘要
本论文以RS和GIS技术为基础,通过对巴仁哲里木地区1999年TM遥感影像和2009年ETM+遥感影像的处理与解译判读,提取了巴仁哲里木地区1999和2009年土地利用/覆盖动态变化的类型、位置和面积等信息。以此为基础,进一步采用土地利用/覆盖转移矩阵、土地利用动态度和土地利用程度指数等多种数学模型,分析了巴仁哲里木地区土地利用/覆盖动态变化的特点、规律、过程和驱动力。研究结果表明:
     (1)巴仁哲里木地区1999-2009年的土地利用/覆盖各类型面积变化明显,都发生了不同程度的增减变化。面积变化最大的是草地,然后是沙地和耕地,变化最小的是其他建筑用地,而河漫滩沙地面积变化也不大。面积变小的只有草地,但其绝对值又是最大的,草地面积减少了188784.3hm2。其它的土地类型面积均有增加,增加的面积自大到小依次为:沙地>耕地>林地>裸地>其他土地类型>居民地>河漫滩沙地>其他建筑用地。沙地面积增加了86145.5hm2,耕地面积增加了50003.6hm2。可见巴仁哲里木地区在这十年内大量占用草地开发为耕地,并且对草地和耕地的保护做的也不到位,使许多土地荒漠化。
     (2)1999-2009年间,巴仁哲里木地区的土地利用/覆盖各类型之间的转化明显。其中,转出面积最大的是草地,转出190751.2hm2,其次为沙地,转出3956.9hm2。转出面积按从大到小排序为:草地>沙地>耕地>裸地>河漫滩沙地>林地>居民地>其他土地类型>其他建筑用地。转入面积最大的是沙地,转入90102.4hm2,其次为耕地,转入52629.9hm2。转入面积按从大到小排序为:沙地>耕地>裸地>林地>其他土地类型>居民地>河漫滩沙地>草地>其他建筑用地。草地转出主要流向沙地和耕地,转入源主要是耕地与河漫滩沙地,而原始草地保留部分所占比例仍为最高;耕地转出主要流向沙地、草地和居民地等,而原始耕地保留部分所占比例为最高,而转入源主要是草地;裸地流出主要流向居民地和沙地,裸地转入源主要为草地;沙地转出主要流向裸地和耕地,而转入源主要为草地;其余类型虽然转化明显,但其占总量较小。
     5.土地利用/覆盖类型的变化趋势和状态指数表明,1999-2009年巴仁哲里木地区土地利用/覆盖变化整体处于极不平衡状态,除其他建筑用地外,草地的动态变化度最大,说明草地规模在不断减小,耕地、居民地、林地、其他土地类型和沙地的动态变化度值均大于0.9,说明这些土地利用类型面积在快速地扩大。草地向着规模减少的方向发展,处于“落势”状态,而除草地外的其他类型土地都向着规模增大的方向发展,处于“涨势”状态。
     (4)土地资源利用程度变化分析结果表明,1999年巴仁哲里木地区土地利用综合指数为197.142,而2009年为177.983,土地实际利用程度只达到理论可利用程度的45%左右,说明巴仁哲里木地区的土地利用程度还非常低。而1999-2009年巴仁哲里木地区土地利用程度综合指数变化量为-19.159,综合指数变化率为-9.718%,说明巴仁哲里木地区土地利用还没达到发展期阶段,调整阶段不够明显,有衰退迹象,需要及时控制。
     (5)巴仁哲里木地区土地利用/覆盖变化驱动力分析结果表明:巴仁哲里木地区土地利用/覆盖变化结果是由自然因素和人文因素共同作用而引起的。
On the basis of RS and GIS,the paper extracted the types, positions andareas of the two-phase land use change of TM remote sensing images in1999and ETM+remote sensing images in2009in the region ofBarenzhelimu,based on the processing and interpretation of theimages.Various kinds of mathematical models were used for further analysisof the features,regulation,procedure and driving force of the dynamic changeof land use/cover in the region of Barenzhelimu,and the models included theshifi matrix of land use/cover,land use dynamic degree,land use degree indexand so on.The results showed the following aspects of the study.
     (1)The area of each type of land use/cover in the region ofBarenzhelimu from1999to2009was changing obviously.The area of eachtype changed in different degrees.The area of grass land changed biggest,andthen was sand land and cultivated land.The area of land for otherconstructions changed least,and the area of flood sand land also did notchange much.The grass land was the only type of which area wasdecreasing,but its absolute value was the biggest.The area of grass land wasdecreasing188784.3hm2.The area of other types of land all hadincreasing,and their area was arranged from big to small as: sand land>cultivated land>forest land>bare land>other type of land>settlementplace>flood sand land>land for other constructions.The area of sand land was increasing86145.5hm2, and the cultivated land’s area was increasing50003.6hm2.It could be seen that during the ten years much grass land wasoccupied and developed for cultivated land in the region of Barenzhelimu,inaddition the protection of grass land and cultivated land was notenough,therefore made much land desertification.
     (2)There was an obvious change of land use/cover types from1999to2009in the region of Barenzhelimu.The grass land conversion output was themost,and the number was190751.2hm2.Next was sand land and its numberwas3956.9hm2.The output area was arranged from big to small as: grass land>sand land>cultivated land>bare land>flood sand land>forest land>settlement place>other type of land>land for other constructions.The sandland conversion input was the most,and the number was90102.4hm2,Next wascultivated land and its number was52629.9hm2. The input area was arrangedfrom big to small as: grass land>sand land>cultivated land>bare land>flood sand land>forest land>settlement place>other type of land>land forother constructions.The grass land output was the conversion to sand land andcultivated land,and the main input sources were the cultivated land and floodsand land.However,original grass land still kept the highest proportion.Thecultivated land output was the conversion to sand land,grass land andsettlement placeand so on,but original cultivated land still kept the highestproportion.The main input source of the cultivated land was the grass land.The bare land output was the conversion to settlement place and sand land,and the main input source was the grass land. The sand land output wasthe conversion to bare land and cultivated land,and the main input source wasthe grass land.Although the others were changing obviously,the proportionwas small.
     (3)It was indicated from the trend and state index of the land use/coverthat the conversion of land use/cover was whole in a extremelyno-equilibrium state from1999to2009in the region of Barenzhelimu.Exceptthe land for other constructions,the dynamic change degree of grass land wasthe biggest,which meaned the scale of grass land was decreasingconstantly.The dynamic change degree of cultivated land,settlementplace,forest land,other type of land and sand land was all greater than0.9,which meaned the area of these types of lang use was expandingrapidly.The scale of grass land developed in reduced direction,showing thefalling trend.However,except the grass land,the other types of land alldeveloped in increased direction,showing the rising trend.
     (4)It was indicated from the result of analysis of degree change of landresources utilization that the comprehensive variation quantity of the land usedegree in the region of Barenzhelimu was197.142in1999and177.983in2009.The land use degree could only reach the45%of the theory,whichdemonstrated that the land use degree was very low.However,thecomprehensive index variation quantity of the land use degree in the region ofBarenzhelimu was-19.159from the year1999to2009,with the variation rate was-9.718%,which showed that the land use degree failed to reach thedevelopment stage in the region of Barenzhelimu and the adjustment stagewas not obvious.Because of the recession of land use,it needed control intime.
     (5)After the analysis of the driving force of LUCC in the region ofBarenzhelimu,it was shown that the consequence of LUCC was caused byboth the natural factors and human factors.
引文
[1]史培军,宫鹏,李晓兵,等.土地利用/土地覆盖变化研究的方法与实践[M].北京:科学出版社,2000.
    [2]史培军.人地系统动力学研究的现状与展望[J].地学前缘,1997,4(1-2):201-211.
    [3]蔺卿,罗格平,陈曦. LUCC驱动力模型研究综述[J].地理科学进展,2005,24(5):79-86.
    [4]秦丽杰,张郁,许红梅,等.土地利用变化的生态环境效应研究—以前郭县为例[J].地理科学,2002,22(4):508-512.
    [5]后立胜,蔡运龙.土地利用/覆被变化研究的实质分析与进展评述[J].地理科学进展,2003,23(6):91-102.
    [6] MARSH G P. Man and Nature:or Physical Geography as Modified by HumanAction[M]. New York:Charles Scribner,1869.
    [7]陈颖彪,吴志峰,程炯,等.遥感与GIS支持下的城市绿地信息提取方法研究—以深圳市为例[J].生态环境,2004,13(3):362-364.
    [8]邬伦,刘瑜,张晶,等.地理信息系统—原理、方法和应用[M].北京:科学出版社,2001.
    [9]杨立民,朱智良.全球及区域尺度上土地覆盖土地利用遥感研究的现状和展望[J].自然资源学报,1994,14(4):340-344.
    [10] MARSCHNER F J. Land Use and Its Patterns in the United States[M].Washington,DC:U.S. Department of Agriculture,1959.
    [11] ANDERSON J R,HARDY E E,ROACH J T,et al. A land use and land coverclassification system for use with remote sensor data[R]. U.S. GeologicalSurvey Professional Paper946. Washington,DC:USGPO,1976.
    [12] THOMAS Jr,W L. Man’s role in changing the face of the earth[M]. Chicago:University of Chicago Press,1956.
    [13] TUCKER C J,TOWNSHEND J R G,GOFF T E. Africa land cover classificationusing satellite data[J]. Science,1985,227:369-375.
    [14] TOWNSHEND J R G,JUSTICE C O,KALB V T. Characterization andclassification of South America land cover types using satellite data[J].International Journal of Remote Sensing,1987,8:1189-1207.
    [15]罗湘华,倪晋仁.土地利用/土地覆盖变化研究进展[J].应用基础与工程科学学报,2000,8(3):262-272.
    [16]宋金易慧,崔亮伟,肖文.土地利用和土地覆盖变化研究综述[J].安徽农业科学,2011,39(19):11862-11863,11866.
    [17]施明乐.国际上LUCC研究的现状、问题和未来展望[J].上饶师范学院学报,2004,24(3):89-94.
    [18]陈佑启,杨鹏.国际上土地利用/覆盖变化的新进展[J].经济地理,2001,21(1):95-100.
    [19]牛文先.生态环境脆弱带Ecotone的基本判定[J].生态学报,1989,9(2):97-105.
    [20]高洪文.生态交错带Ecotone理论研究进展[J].生态学杂志,1994,13(1):32-38.
    [21]葛全胜,等.中国环境脆弱带特征研究[J].地理新论,1990,5(2):17-27.
    [22] Turner B L,David Skole,Steven,Sanderson. Land use and land cover change(LUCC):science/Research plan[R]. IGBP Reports,NO.35,1995.
    [23]陈百明.试论中国土地利用和土地覆被变化及其人类驱动力研究[J].自然资源,1997,(2):31-35.
    [24]乌敦.20世纪科尔沁地区的土地利用变化研究[D].内蒙古:内蒙古师范大学,2005.
    [25]沈阳地质矿产研究所.中华人民共和国内蒙古1∶5万宝日根、巴仁哲里木、坤都冷幅区域地质调查[R].2011:1-2.
    [26]西哲里木苏木人民政府.西哲里木苏木土地利用总体规划(1998-2010)[R].1998.
    [27]刘纪远.中国资源环境遥感宏观调查与动态研究[M].北京:中国科学技术出版社,1996:21-45.
    [28]梁长秀.基于RS和GIS的北京市土地利用/覆被变化研究[D].北京:北京林业大学,2009.
    [29] R.Gil Pontius Jr.,Laura C.Schneider. Land-cover change model validation by anROC method for the Ipswich watershed,Massachusetts[J]. USA.Agriculture,Ecosystems and Environment,2001,(85):239-248.
    [30]彭望录.遥感数据的计算机处理与地理信息系统[M].北京:北京师范大学出版社,1991.
    [31]陈俊,宫鹏编.实用地理信息系统[M].北京:北京出版社,1998.
    [32]赵庚星,李玉环,徐春达.遥感和GIS支持的土地利用动态监测研究—以黄河三角洲垦利县为例[J].应用生态学报,2000,11(04):573-576.
    [33]陈宁强,戴锦芳.人机交互式土地资源遥感解译方法研究[J].遥感技术与应用,1998,13(2):15-20.
    [34]钱乐祥.遥感影像处理与地理特征提取[M].北京:科学出版社,2004.
    [35]颜长珍,冯毓荪,王建华等.西北地区土地资源类型TM影像解译标志的建立[J].中国沙漠,1999,(03):206-209.
    [36]刘瑞,朱道林.基于转移矩阵的土地利用变化信息挖掘方法探讨[J].资源科学,2010,32(8):1544-1550.
    [37]梁治平,周兴.土地利用动态变化模型的研究综述[J].广西师范学院学报(自然科学版),2006,23(6):22-26.
    [38]史培军.中国北方风沙活动的驱动力分析[J].第四纪研究,2001,21(1):41-47.
    [39]周亚荣,张增祥.中国农牧交错区土地利用变化空间格局与驱动力分析[J].自然资源学报,2003,18(2):222-227.
    [40] Veldkamp A,Lambin E F. Predicting land-use change[J]. Agriculture,Ecosystems and Environment,2001,(85):1-6.
    [41]刘文超.基于GIS和RS的辽西北地区土地利用覆盖变化分析及驱动机制研究[D].吉林:吉林大学,2007.
    [42]张学俭.基于遥感和GIS的宁夏盐池县土地利用/覆被变化研究[D].北京:北京林业大学,2004.

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