基于RS与GIS技术的松辽平原黑土退化研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
松辽平原黑土带是世界上仅有的三块黑土区之一,是国家重要的商品粮基地,是极其重要的战略资源。但由于多年来自然因素和人为活动的影响,黑土在不断退化,其主要表现在黑土数量减少和土质下降两个方面。黑土数量减少主要是由于人类活动对土地性质的改变(主要指建筑用地和道路的扩建),以及自然条件下空间面积(冲沟新生和扩大)以及垂向(厚度减薄)变化造成的;黑土质量下降主要是由于长期过度耕种造成的,表现在黑土土壤肥力下降,作物养分减少并失去平衡,土壤理化性状恶化等方面。
     为了探明松辽平原黑土资源状况、了解它们的区域特征及变化规律,本文首先基于RS与GIS技术对地表信息进行监测,从而实现黑土面积变化的研究;其次,通过遥感定量反演、比较土壤有机质含量来实现黑土质量变化的研究;然后,结合DEM(数字高程模型)数据,引入冲沟密度概念,利用三维遥感建模及系列计算对提取的黑土数据(数量和质量)进行详细地综合研究;最后,总结松辽平原黑土退化特点和时空分布规律,对黑土退化影响因素进行分析,预测黑土退化趋势,为黑土资源的利用与保护提供科学依据。
Songliao Plain Blacksoil Zone is one of the only three pieces of blacksoil land on the earth, which mainly lies in Heilongjiang Province, Jilin Province and a small amount of the land spreads across Liaoning Province and Innermongolia Autonomous Region. Its total area is about 5.956 million ha, including 4.438 million ha farmland. Since it is fertile, rich organic matter and strong nutrient supply capacity for crop growth, blacksoil is called as“the king of soil”. China is a country with a large population and only 43 percent of the arable land of the world for each person. Therefore, the blacksoil in Songliao Plain is extremely significant and strategic resource.
     Due to natural factors’restrictions and human activities’effect over the years, however, blacksoil degradation has become increasingly serious. The degradation of blacksoil is mainly in amount and quality. The decrease of blacksoil area is mainly related with human activities (including the expansion of construction sites and roads), changes of spatial areas in nature condition (gullies rebirth and enlarge) and soil erosion (the decrease in thickness and area). The degradation of blacksoil quantity is mainly caused by long-term excessive human cultivation, which is shown on declining in the blacksoil fertility, reduction of crop nutrient, loss of balance, deterioration of blacksoil physical and chemical properties that are the main characters of blacksoil quality decline.
     In order to explore the blacksoil resources in Songliao Plain, understand its regional characteristics and the change rules, this paper aims to research the technique using RS and GIS technology, which is based on the following thoughts:
     ①Chose MapGIS as a software platform for information extraction of blacksoil area degradation, TM, ETM and ASTER remote sensing data (key areas) as major data resource, according to field investigation and remote sensing images interpretation keys, so as to interpret the area of blacksoil, gully, construction and road, etc. The change of the blacksoil area is obtained through GIS spatial analysis in different period represented by different RS image data. The strength classification of the blacksoil area change has been achieved by calculating the reduce area in unit area of the blacksoil. Otherwise, the author chooses the representative zone as a key area to investigate in detail, using 2005 year’s ASTER remote sensing data to monitor the area change of blacksoil in recent years, to analyze the rule of spatial and temporal evolution of blacksoil in Songliao Plain.
     ②Establish the retrieval model related to remote sensing data reflectivity and soil organic matter content in blacksoil, to calculate soil organic matter content using the latest ASTER remote sensing data source, the TM data in the 1990s and the limited soil sample. Based on field samples and analysis of soil organic matter content which sampled in the spring of 2006 and 2007 year, as well as using ASTER remote sensing data in the spring of 2005 and 2006 year as the data source, the author calculates the organic matter content in blacksoil by retrieval. Through soil organic matter content of the second census in 1980s and 1990s, as well as TM data in the early 1990s, the author calculates the organic matter content in 1990s’blacksoil by retrieval. By comparing the change of soil organic matter content in blacksoil in different period, the author gets the information of quality degradation of blacksoil.
     ③Using DEM (Digital Elevation Model) data and socio-economic statistical data, the author calculates the elevation, slope, slope length, aspect, gully density, etc so as to carry on detailed and comprehensive study on extracted blacksoil data (quantity and quality). In addition, the author discusses the blacksoil degradation characteristics, the regulations of spatial and temporal distribution, analyzes the mechanism and tendency of the blacksoil degradation and determines the borders of blacksoil. The research results will be the scientific foundation for protecting and using of blacksoil resource.
     The research results of this paper are as follows:
     1. Blacksoil zone in Songliao Plain lies in north from Nenjiang County Heihe City, west to Gannan County Qiqihar City, east arrives at Bin County Harbin City Heilongjiang Province and south reaches Changtu County Tieling City Liaoning Province. The West border is contiguous to the chernozem and sali-alkali soil in Songnen Plain. The east border extends to the verge of Sanjiang Plain, the valley of Xiaoxing'an Mountain and Changbai Mountain, etc. The shape of blacksoil is like an arc and stripe along the Beijing and Harbin railway. In 2000, the total area of blacksoil zone in Songliao Plain is about 85698.82km2, and blacksoil area is about 54989.92km2 which accounts for 64.17% of the total area of blacksoil zone; the gully area is about 24490.98km2 which accounts for 28.58%; the construction area is about 6217.92km2, which accounts for 7.25%. About 73.03% and 22.19% of the blacksoil zone area distributes in Heilongjiang and Jilin Province respectively.
     2. The interpretative results of different period remote sensing image illustrate that the area of blacksoil in Songliao Plain has reduced by 3765.21km2 in the past 10 years, with an average annual decrease of 376.52km2. The decrease tendency of blacksoil area is gradually weakening from north of the central (Harbin and Suihua City)of blacksoil zone to the south. The blacksoil degradation has mainly occurred in these areas, such as river cross-strait, the near district of larger construction sites and the sali-alkali soil.
     3. Organic matter content in blacksoil is higher in the northern region than in the southern, in the eastern than in the western. What is more, organic matter content is gradually increasing along with latitude (longitude) becoming high.
     4. Topographical condition is the primary factor in the process of the blacksoil degradation. The blacksoil degradation mainly concentrates on the middle and lower part of sloping land, the elevation about 100~300m, the average elevation about 227.87m, the average slope about 1.69°and the average slope length of 14605.51m. The blacksoil reduction in eastern and western slopes is worse than in other directions. And the blacksoil decrease is greater in southern slopes than in northern slopes.
     5. The area of gully has expanded by 2602.66km2 and the blacksoil has decreased by 3765.21km2 from 1990 to 2000 year. The area of gully increasing derives from the area decreasing of blacksoil; the amount of blacksoil decrease is closely related to gully density. The density of gull has been increased in the past 10 years. The situation of blacksoil degradation is worse than in 10 years ago.
     6. The major reasons for area decrease and organic matter degradation of blacksoil are mainly related with urbanization and other human activities.
引文
[1] 全国土壤普查办公室. 中国土壤[M]. 北京: 中国农业出版社, 1995.
    [2] 孟凯, 张红艳. 松嫩平原黑土农业生态系统演替规律分析[J]. 农业系统科学与综合研究, 2001, 17(4): 268-269.
    [3] 中国寒地黑土网[DB/OL]. http: //www.shhdht.com/web/htny.
    [4] 张桃林, 王兴祥. 土壤退化研究的进展与趋向[J]. 自然资源学报, 2000, 15(3): 280-284.
    [5] 鲁彩艳, 陈欣, 史亦等. 东北黑土资源质量变化特征研究概述[J]. 农业系统科学与综合研究, 2005, 21(3): 182-183.
    [6] 中国科学院林业土壤研究所. 中国东北土壤[M]. 北京: 科学出版社, 1980, 10: 124-179.
    [7] 程彬. 松辽平原黑土有机质及相关元素遥感定量反演研究[D]. 长春: 吉林大学遥感应用研究所, 2007.
    [8] 土壤地理学[EB/OL]. http: //4a.njau.edu.cn/DILI2.
    [9] 范昊明, 蔡强国. 世界三大黑土区水土流失与防治比较分析[J]. 自然资源学报, 2005, 20(3): 387-393.
    [10] Robert (BOb) Stephenson. Agricultural History[EB/OL]. http: //www.fhsu.edu/agriculture/AgHistoryChapter 7 Notes.htm, 2002: 10-26.
    [11] 范昊明, 蔡强国, 王红闪. 中国东北黑土区土壤侵蚀环境[J]. 水土保持学报, 2004, 18(2): 66-70.
    [12] 刘丙友. 典型黑土区土壤退化及可持续利用问题探讨[J]. 中国水土保持, 2003, (12): 28-29.
    [13] 何艳芬, 马超群. 东北黑土资源极其农业可持续利用研究[J]. 干旱区资源与环境, 2003, 17(4): 24-28.
    [14] 解运杰等. 东北黑土区地域界定及其水土保持区划探析[J]. 水土保持通报, 2005, 25(1): 48-50.
    [15] 陆继龙. 我国黑土的退化问题及可持续农业[J]. 水土保持学报, 2001, 15(2): 53-55, 67.
    [16] 沈波, 范建荣, 潘庆宾等. 东北黑土区水土流失综合防治试点工程项目概况[J].中国水土保持, 2003, (11): 7-8.
    [17] 汪景宽, 王铁宇, 张旭东等. 黑土土壤质量演变初探 I-不同开垦年限黑土主要质量指标演变规律[J]. 沈阳农业大学学报, 2002, 33(1): 43-47.
    [18] 于丹, 沈波, 谢军. 东北黑土区水土流失危害及其防治途径[J]. 水土保持通报, 1992, 12(2): 25-34.
    [19] 宇万太, 沈善敏, 张璐等. 黑土开垦后水稳性团聚体与土壤养分的关系[J].应用生态学报, 2004, 15(12): 2287-2291.
    [20] 杨学明, 张晓平, 方华军等. 20 年来部分黑土耕层有机质和全氮含量的变化[J]. 地理科学, 2004, 24(6): 710-714.
    [21] 王铁宇, 颜丽, 关连珠等. 长期定位监测黑土有机物质的变化[J]. 农业环境科学学报, 2004, 23(1): 76-79.
    [22] 于磊, 张柏, 宋开山. 基于 GIS 的黑土区环境地球化学质量评价[J]. 干旱区资源与环境, 2004, 18(2): 23-26.
    [23] 于磊, 张柏. 基于 GIS 的黑土区土壤相对环境容量空间分异特征研究[J]. 土壤学报, 2004, 41(4): 511-516.
    [24] 郭观林, 周启星. 中国东北北部黑土重金属污染趋势分析[J]. 中国科学院研究生院学报, 2004, 21(3): 386-392.
    [25] Valle H F Del, et al. Status of Desertification in the Patagonian Region: Assessment andmapping from Satellite Image[J]. Arid Soil Research and Rehabilitation, 1998(12): 95-122.
    [26] 高尚武, 王葆芳等. 中国沙质荒漠化土地监测评价指标体系[J]. 林业科学, 1998, 34(2): 1-10.
    [27] 张熙川, 赵英时. 应用线性光谱混合模型快速评价土地退化的方法研究[J]. 中国科学院研究生院学报, 1999, 16(2): 169-175.
    [28] 濮励杰, 包浩生等. Cs 应用于我国西部风蚀区土地退化的初步研究[J]. 土镶学报, 1998, 35(4): 441-449.
    [29] 濮励杰, 包浩生. 土地退化方法应用初步研究—以闽西沙县东西流域为例[J].自然资源学报, 1998, 14(1): 55-61.
    [30] 陈志军, 李志忠, 杨清华. 用遥感图像提取土地利用变化信息的特征变异增强方法[J]. 国土资源遥感, 2000, (3): 49-52.
    [31] 林艳玲, 崔文华. 大兴安岭岭东黑土区农业生态环境与土地生产力的演化[J].内蒙古农业科技, 2006, (2): 51-54.
    [32] 邢宇, 姜琦刚. 基于遥感技术表征参量的松辽平原黑土退化研究[C]. 第 16届全国遥感技术学术交流会论文集, 2007, 9: 194-197.
    [33] Frazier B E, and Cheng Y. Remote sensing of soils in the eastern palouse region with landsat thematicmapper[J]. Remote Sensing of Environment, 1989, 28: 317-325.
    [34] Chen F, Kissel D E, West L T, et al. Field-scalemapping of surface soil organic carbon using remotely sensed imagery[J]. Soil Science Society ofAmerica Journal, 2000, 64: 746-753.
    [35] Palacios-Orueta A, Pinzon J E, and Ustin S L, et al. Remote sensing of soils in the Santamonicamountains: II. Hierarchical foreground and background analysis[J]. Remote Sensing of Environment, 1999, 68: 138-151.
    [36] Fox G A, and Sabbagh G J. Estimation of soil Organic Matter from red and near-infrared remotely sensed data using a soil line Euclidean distance technique[J]. Soil Science Society of America Journal, 2002, 66: 1922-1929.
    [37] Fox G A, and Sabbagh G J, et al. An automated soil line identification routine for remotely sensed images[J]. Soil Science Society of America Journal, 2004, 68: 1326-1331.
    [38] Hill J, and Schiitt B. mapping complex patterns of erosion and stability in drymediterranean ecosystems[J]. Remote Sensing of Environment, 2000, 74: 557-569.
    [39] 李海毅. 3S 技术支持下的吉林省土地退化动态研究[D]. 长春: 吉林大学, 环境与资源学院, 2007.
    [40] 马士彬, 安裕伦. 喀斯特地区土地利用与坡度因子关系分析—以贵州省都匀市为例[J]. 贵州师范大学学报(自然科学版), 2008, 26(1): 18-21.
    [41] 柳长顺, 齐实, 史明昌. 土地利用变化与土壤侵蚀关系的研究进展[J]. 水土保持学报, 2001, 15(5): 10-13.
    [42] 蔡强国, 吴淑安. 紫色土陡坡地不同土地利用对水土流失过程的影响[J]. 水土保持通报, 1998, 18(2): 1-8.
    [43] 赵军, 孟凯等. 黑土区域土地利用变化及其生态效应分析—以海伦市为例[J].水土保持学报, 2004, 18(5): 138-145.
    [44] 江忠善, 刘志, 贾志伟. 地形因素与坡地水土流失关系的研究[J]. 中国科学院水利部水土保持研究所集刊, 1990, (12): 1-8.
    [45] 罗明, 龙花楼. 土地退化研究综述[J]. 生态环境, 2005, 14(2): 287-293.
    [46] 闫业超, 张树文, 李晓燕, 岳书平. 黑龙江克拜黑土区 50 多年来侵蚀沟时空变化[J]. 地理学报, 2005, 60(6): 1015-1020.
    [47] 崔文华, 辛亚军, 于彩娴. 呼伦贝尔市大兴安岭东麓黑土区土壤侵蚀研究[J].土壤, 2005, 37(4): 439-446.
    [48] 辛刚, 颜丽, 汪景宽等. 不同开垦年限黑土有机质变化的研究[J]. 土壤通报, 2002, 33(5): 332-335.
    [49] 何挺, 王静, 林宗坚, 程烨. 土壤有机质光谱特征研究[J]. 武汉大学学报, 2006, 31(11):975-978.
    [50] 徐彬彬. 土壤光谱反射特性与理化性状的相关分析[A]. 宁芜土壤遥感研究专辑[M]. 北京: 科学出版社, 1980.
    [51] 徐金鸿, 徐瑞松, 夏斌等. 土壤遥感监测研究进展[J]. 水土保持研究, 2006, 13(2): 17-20.
    [52] 陈焕伟, 张凤荣等. 土壤资源调查[M]. 北京: 中国农业大学出版社, 1997.
    [53] 樊政霖. 温带农林交错带黑土退化机理研究[D].长春: 东北师范大学, 2006.
    [54] 姜岩等. 吉林土壤[M]. 北京: 中国农业出版社, 1998, 145-160.
    [55] 宋桂茹, 李泽鸿, 姚玉霞等. 黑土资源及其退化防治[J]. 农业与技术, 1998, (2): 32-34.
    [56] 何宗宜, 刘新华. 浅论遥感影像地图的制作[J].测绘通报,2002,(11):44-45.
    [57] 万晓霞, 易尧华. 全彩色遥感影像彩色合成效应的研究[J]. 武汉大学学报, 2002, 27(2): 203-207.
    [58] 陈宁强. 基于遥感与地理信息系统的土地利用动态变化研究—以吴县市为例[D]. 中国科学院南京地理与湖泊研究所, 1999, 10-15.
    [59] 李小文. 地球表面时空多变要素的定量遥感项目综述[J]. 地球科学进展, 2006, 21(8): 771-780.
    [60] 卜兆宏, 唐万龙, 席承藩等. 水土流失定量遥感方法应用与研究的新进展[J].世界科技研究与发展, 2000, 22: 64-66.
    [61] 梅安新, 彭望琭, 秦其明等. 遥感导论[M]. 北京: 高等教育出版社, 2001.
    [62] 谢伯承, 薛绪掌, 王纪华等. 褐潮土的光谱特性及用土壤反射率估算有机质含量的研究[J]. 土壤通报, 2004, 35(4): 391-395.
    [63] 徐永明, 蔺启忠, 黄秀华等. 利用可见光近红外反射光谱估算土壤总氮含量的实验研究[J]. 地理与地理信息科学, 2005, 21(1): 19-22.
    [64] 陈怀亮. 麦田土壤水分 NOAA/AVHRR 遥感监测方法研究[J]. 遥感技术与应用, 1998, 13(4): 27-35.
    [65] Weimann A, et al. Soilmoisture with ERS-1SAR data in the East –German loess soil area[J]. Int.J., Remote Sens., 1998, 19(2): 237-243.
    [66] Swain P H, Davis Sm. Remote Sensing: The Quantitative Approch[M].mcGRAW HILL International Book Company, 1978: 153-160.
    [67] 徐彬彬, 季耿善. 土壤光谱反射特性与理化性状的相关分析[J]. 土壤专报, 1987, 41: 66-77.
    [68] 徐彬彬等. 中国陆地背景和土壤光谱反射特性的地理分区的初步研究[J]. 环境遥感, 1991, 6(2): 142-151.
    [69] Baumgardnerm F, Kristof S, Johannsen C J, et al. Effects of Organic Matter on themultispectral Properties of Soils[J]. Proc. Indiana A cad.Sci, 1970(79): 413-422.
    [70] Galvao L S, Vitorello I. Role of Organic Matter in Obliterating the Effects of Iron on Spectral Reflectance and Colour of Brazilian Tropical Soils[J]. Int. J. Remote Sens, 1998(19): 1969-1979.
    [71] Henderson T L, Szilagyi A, Baumgardnerm F, et al. Spectral Band Selection for Classification of Soil Organic Matter Content[J]. SoilSci. Soc. Am. J. 1989(53): 1778-1784.
    [72] 黑龙江省土壤普查办公室. 黑龙江土壤[M]. 北京: 中国农业出版社, 1992.
    [73] 吉林省土壤肥料总站. 吉林土壤[M]. 北京: 中国农业出版社, 1998.
    [74] Stone E R, and Baungardnerm F. Characteristic variations in reflectance of surface soils[J]. Soil Sci. Soc. Am. J., 1981, 45: 1161-1165.
    [75] 宁亚灵. 长春石头口门水库水质参数遥感反演与模拟研究[D]. 长春: 吉林大学, 2007.
    [76] 刘纪选, 曾朝铭, 张秀茵. 航天遥感图像数据索引及应用实例[M]. 北京: 中国地质调查局, 2004.
    [77] Conghe Song, Curtis E. Woodcock, Karen C. Seto, et al. Classification and Change Detection using Landsat TM Data: When and How to Correct Atmospheric Effect[J]. Remote Sens. Envir., 2001(75): 230-244.
    [78] 张友水, 冯学智, 周成虎. 多时相 TM 影像相对辐射校正研究[J]. 测绘学报, 2006, 35(2): 122-127.
    [79] 任若恩, 王惠文. 多元统计数据分析—理论、方法、实例[M]. 北京: 国防工业出版社, 1997, 6.
    [80] Zied Elouedi, Khaledmellouli, Philippe Smets, Belief decision trees: theoretical foundations[J]. International Journal of Approximate Reasoning, 2001, (28): 91-124.
    [81] 王占昌.利用决策树对卫星遥感数据进行分类[J].青海科技,2005,(5):28-33.
    [82] 李爽, 张二勋. 基于决策树的遥感影像分类方法研究[J]. 地域研究与开发, 2003, 22(1): 17-21.
    [83] 曾志远. 卫星遥感图像计算机分类与地学应用研究[M]. 北京: 科学出版社, 2004.
    [84] 程彬, 姜琦刚, 周云轩等. 基于 ASTER 数据遥感影像的决策树分类[J]. 吉林大学学报(地球科学版), 2007, 37(1): 179-184.
    [85] 海伦县土壤普查办公室. 海伦县土壤志[M]. 北京: 中国农业出版社.
    [86] 全国土壤普查办公室. 中国土壤普查数据[M]. 北京:中国农业出版社, 1997.
    [87] 东北黑土土壤养分数据库[DB/OL].http: //www.blackland.csdb.cn/SUBDBINFO/HTFL/index.htm
    [88] 李发鹏, 李景玉, 徐宗学. 东北黑土区土壤退化及水土流失研究现状[J]. 水土保持研究, 2006, 13(3): 50-54.
    [89] 于磊, 张柏. 中国黑土退化现状与防治对策[J]. 干旱区资源与环境, 2004, 18(1): 99-103.
    [90] 刘巍, 吕亚泉. 中国黑土地退化成因及生态修复学研究[J]. 东北水利水电, 2006, 24(258): 59-61.
    [91] 白人海. 气候变化与松嫩流域黑土退化[J]. 黑龙江气象, 2005(3): 6-7.
    [92] 隋跃宇, 张兴义, 张少良. 黑龙江典型县域农田黑土土壤有机质现状分析[J].土壤通报, 2008, 39(1): 186-188.
    [93] 韩秉进, 隋跃宇, 赵军等. 黑龙江省黑土农田养分时空演变分析[J]. 农业系统科学与综合研究, 2005, 21(4): 288-291.
    [94] 崔明, 蔡强国, 范昊明. 东北黑土区土壤侵蚀研究进展[J]. 水土保持研究, 2007, 14(5): 28-32.
    [95] 刘新华, 杨勤科, 汤国安. 中国地形起伏度的提取及在水土流失定量评价中的应用[J]. 水土保持通报, 2001, 21(1): 57-59, 62.
    [96] 李远华, 姜琦刚, 张秉仁. 利用等高线数据制作大规模 3D 遥感影像[J]. 国土资源遥感, 2005, 64(2): 76-79.
    [97] 胡昌龙, 易燕. 数字高程模型 DEM 及其显示[J]. 黑龙江科技学院学报, 2004, 14(4): 233-236.
    [98] 李志林,朱庆.数字高程模型[M].武汉:武汉测绘科技大学出版社,2000:29-59.
    [99] 张瑞军, 杨武年, 刘汉湖等. 数字高程模型(DEM)的构建及其应用[J]. 工程勘察, 2005, (5): 61-64.
    [100] 孔凡哲, 芮孝芳. 处理 DEM 中闭合洼地和平坦区域的一种新方法[J]. 水科学进展, 2003, 14(3): 290-294.
    [101] 郭耀文, 杨军, 王满堂. 地表侵蚀与地貌相互关系的研究[J]. 中国水土保持, 1996, (2): 23-25.
    [102] 张国成, 胡召玲, 禚昌芬等. 南京市区景观格局及生态绿地现状遥感研究[J].徽林业科技, 2006, (4): 5-7.
    [103] 杨文, 张学培, 王洪英. 东北黑土区坡耕地水土流失及防治技术研究进展[J].北京林业大学水土保持研究, 2005, 10(5): 232-236.
    [104] 孟凯, 张兴义. 松嫩平原黑土退化的机理及其生态复原[J]. 土壤通报, 1998, 29(3): 100-102.
    [105] 孙广友, 王海霞, 于少鹏等. 强胁迫力使脆弱环境突变—松辽平原百年开发史例证[J]. 第四纪研究, 2004, 24(6): 664-671.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700