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桐柏大别山区土壤侵蚀特征及敏感性评价
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摘要
本文以地处淮河流域的桐柏大别山区为研究区域,以1987、1997、2007年三个典型时期的遥感影像为主要信息源,综合运用3S技术和水土保持理论与方法,通过人机交互解译与野外调查验证,依据水利部部颁土壤侵蚀分类分级标准(SL190-2007),对土壤侵蚀现状、时空变化特征、土壤侵蚀敏感性、主要环境影响因子等进行了系统研究,主要成果如下:
     1.掌握了桐柏大别山区土壤侵蚀格局特征
     2007年桐柏大别山区土壤侵蚀强度整体上以轻度侵蚀为主,中度、强烈侵蚀次之(局部地区),而极强烈、剧烈侵蚀所占比例很小。不同土壤侵蚀强度等级面积所占土壤侵蚀面积比例为:轻度侵蚀60.80%,中度侵蚀23.80%,强烈侵蚀13.59%,极强烈侵蚀1.81%。2007年土壤侵蚀面积为6378.15km~2,占土地总面积23.44%,土壤侵蚀综合指数为1.37。广水市、大悟县、舒城县、曾都区、岳西县、桐柏县、金寨县、新县、霍山县等9个县市区均高于平均指数,表明这些县市是桐柏大别山区土壤侵蚀相对比较严重的地区。
     2.阐明了桐柏大别山区土壤侵蚀的时空变化特征
     20年间,桐柏大别山区的土壤侵蚀面积(占土地总面积比例)由1987年的7416.11km~2(27.25%),增加到1997年的9904.80km~2(36.40%),而后减小到2007年的6378.15km~2(23.44%)。表明土壤侵蚀面积先增加后减小总体减小。土壤侵蚀面积减少的实质,是较高强度等级土壤侵蚀向较低等级土壤侵蚀转变的过程。在前一时段(1987~1997年)高强度侵蚀面积增加、低强度侵蚀面积减少,而在后一时段(1997~2007年)高强度侵蚀面积减少、低强度侵蚀面积增加,全时段(1987~2007)为高强度侵蚀面积减少、低强度侵蚀面积增加。这与土壤侵蚀面积先增加后减少总体减少的过程是一致的。
     3.评价了桐柏大别山区土壤侵蚀敏感性
     桐柏大别山区土壤侵蚀敏感性较高,中度及其以上敏感级别面积占总面积的46.34%,而轻度敏感和不敏感分别占44.30%和9.36%。在空间分布格局上,呈由南向北减弱的特征,敏感性较高的区域主要分布在金寨县、霍山县、岳西县、舒城县、商城县等中南部山区县,而北部平原区敏感性较低。土壤侵蚀敏感性分布与土壤侵蚀强度具有较高的一致性,土壤侵蚀敏感性高的区域也是目前土壤侵蚀严重的区域,这表明降雨、地形、土壤、植被等自然因素对土壤侵蚀的分布有重要影响。但在局部地区土壤侵蚀强度与土壤侵蚀敏感性并不完全一致,这是由于人类活动的作用程度和利用方式不同所造成的。
     4.分析了桐柏大别山区主要土壤侵蚀影响因素
     植被盖度是决定土壤侵蚀强度的关键因素。随着区域植被盖度增加,土壤侵蚀强度呈下降趋势,或高强度侵蚀比例下降,低强度侵蚀比例增加的特征。土壤侵蚀比较严重和集中的地区,发生在植被覆盖度15%~45%的低度和中低度覆盖区域,以中度侵蚀为主。
     土壤侵蚀与坡度密切相关。随着地面坡度的增加,区域土壤侵蚀强度增加的特征。土壤侵蚀主要发生在坡度为8°以上的区域。中度以上侵蚀主要发生在坡度大于15°的区域。
     土壤侵蚀主要分布在林地、草地和耕地等土地利用方式。其中,林地的土壤侵蚀最为严重,经济林是林地中土壤侵蚀问题最为突出的区域;而耕地也是土壤侵蚀的重点区域,坡耕地则是耕地中土壤侵蚀问题较为突出的区域。
This paper has chosen Tongbai-Dabie mountainous area in the Huaihe River Valley as the study region. Remote sensing (RS) images of three typical periods (1987、1997、2007) are the main information sources. Based on“3S”technology (RS、GIS、GPS) and soil and water conservation theory and method, through the methods of man-machine interaction interpretation and investigation in the open air, according to the soil erosion grading standards of the Ministry of Water Conservation (SL190-2007), this paper has researched soil erosion situation, temporal and spatial dynamics, soil erosion sensitivity and the relationship between the environmental factors and soil erosion. And the main results are as follows:
     1. The present situation characteristics of soil erosion are grasped.
     Mild erosion is the main soil erosion intensity in 2007, and moderate and serious erosion is in some areas, and extremely and severe erosion is so little. The proportions of different soil erosion intensity are: mild erosion accounts for 60.80%; moderate erosion is 23.80%; serious erosion is 13.59%; extremely erosion is 1.81%. Soil erosion area is 6378.15km~2 (23.44%) and soil erosion comprehensive index is 1.37. The index in Guangshui, Dawu, Shucheng, Zengdu, Yuexi, Tongbai, Jinzhai, Xin County and Huoshan is higher than the average and it shows that soil erosion in these cities is serious.
     2. The temporal and spatial dynamics of soil erosion are explored.
     Soil erosion area (proportion) increases from 7416 km~2 (27.25%) of 1987 to 9904.80 km~2 (36.40%) of 1997, and then reduces to 6378.15 km~2 (23.44%) of 2007. It shows that soil erosion area increases at first and then reduces, and takes on overall reduction tendency. The essence is that high intensity level transforms to low intensity level. High intensity area increases and low intensity area reduces in the first period (1987~1997), and high intensity reduces and low intensity increases in the second period (1997~2007), and high intensity weakenes and low intensity strengthens in the past 20 years (1987~2007). This is in coincidence with soil erosion area changing process.
     3. The soil erosion sensitivity is evaluated.
     Soil erosion sensitivity is relatively high, and over moderate level is 46.34% and mild level and insensitive level is separately 44.30% and 9.36%. In spatial distribution, sensitivity reduces from south to north, and high sensitivity is mainly in the south, such as Jinzhai, Huoshan, Shangcheng, Yuexi, Shucheng, and so on. And sensitivity in the north plain is low. The distribution of soil erosion sensitivity is high consistency with soil erosion intensity. The region of high sensitivity is also serious in soil erosion, indicating that regional soil erosion is highly influenced by natural factors, but in some areas there is a certain difference because of human activities.
     4. The main influence factors are analyzed.
     Vegetation coverage is a key factor to determine soil erosion intensity. With the increase of vegetation coverage, soil erosion intensity weakens. Serious erosion mainly distributes in low coverage (15%~45%) and relatively low coverage.
     Soil erosion and slope are closely related. With the increase of slope, soil erosion intensity strengthens. Soil erosion mainly distributes in over 8°. Over moderate erosion mainly occurs in over 15°.
     Soil erosion mainly occurs in forest land, grassland and farmland. In these land utilization, soil erosion in forest land is serious and economical forest land is priority. Besides, soil erosion in farmland is relatively serious and sloping farmland is priority.
引文
[1]白占国,万国江.贵州碳酸岩区域的侵蚀速率及环境效应研究[J].土壤侵蚀与水土保持通报,1998,4(1):1-7
    [2]卜兆宏,唐万龙,杨林章等.水土流失定量遥感方法新进展及其在太湖流域的应用[J].土壤学报,2003,40(1):1-9
    [3]蔡继清,任志勇,李迎春.土壤侵蚀遥感快速调查中有关技术问题的商榷[J].水土保持通报,2002,22(6):45-47
    [4]陈建军,张树文,李洪星,等.吉林省土壤侵蚀敏感性评价[J].水土保持通报,2005,25(3):49-53
    [5]陈永宗,景可,蔡强国.黄土高原现代侵蚀与治理[M].北京:科学出版社,1988
    [6]陈云浩,李晓兵,史培军.北京海淀区植被覆盖的遥感动态研究.植物生态学报,2001,25(5):588-593
    [7]范建容,柴宗新等.基于RS和GIS的四川省李子溪流域土壤侵蚀动态变化[J].水土保持学报,2001,15(4):25-28
    [8]郭学军,郭立民.应用不同时期的航片分析土壤侵蚀量的动态变化[J].中国水土保持,1994,2:40-42
    [9]洪双族,高兆蔚.利用森林资源连续清查体系进行水土流失动态监测的探讨[J].福建水土保持仁,1994(3):24-25
    [10]胡广录.遥感技术在水土保持中的应用[J].甘肃水利水电技术,1997,(4):63—65
    [11]胡续礼,姜小三,杨树江,等.降雨侵蚀力简易算法地区适用性的初步探讨.中国水土保持科学, 2006,4(5):44-49
    [12]颉耀文,陈怀录,徐克斌.数字遥感影像判读法在土壤侵蚀调查中的应用[J].兰州大学学报(自然科学版),2002,38(2):157-162
    [13]靳英华,赵东升,杨青山,等.吉林省生态环境敏感性分区研究[J].东北师范大学报:自然科学版,2004,36(2):68-74
    [14]李国强,陈利顶,高启晨,等.黄土高原地区西气东输工程沿线水土流失敏感性评价.水土保持学报,2003,17(6):55-58
    [15]李荣生.黄河流域资源环境与开发整治[M].北京:气象出版社,1994
    [16]李锐.水土流失动态监测与评价研究现状与问题[J].中国水土保持,1999,(11):31-33
    [17]李晓燕,王宗明,张树文.东北典型丘陵漫岗区沟谷侵蚀动态及空间分析[J].地理科学,2007,27(4):531-536
    [18]林敬兰,杨学震,陈明华.基于3S技术的福建省土壤侵蚀动态监测研究[J].水土保持学报2003,17(1):155-158
    [19]林开旺,陈永宝.闽南沿海水蚀区土壤侵蚀遥感监测技术[J].福建农业学报,2002,17(2):74-77
    [20]刘康,康艳,曹明明,等.基于GIS的陕西省土壤侵蚀敏感性评价[J].水土保持学报,2004,18(5):168-170
    [21]刘康,欧阳志云,王效科,等.甘肃省生态环境敏感性评价及其空间分布.生态学报,2003,23(12):2711-2718
    [22]刘康,欧阳志云.基于GIS的甘肃省土地沙漠化敏感性评价[J].水土保持通报,2002,22(5):29-35
    [23]刘淑珍,陶和平,柴宗新,等.关于土壤侵蚀遥感调查中几个问题的思索[J].水土保持学报,2001,15(5):18-21
    [24]刘新华,杨勤科,李锐.中国地形起伏度的提取及在水土流失定量评价中应用.水土保持通报,2001,21(1): 57-59
    [25]刘震.水土保持监测技术[M].中国大地出版社,2004
    [26]卢远,华璀,周兴.基于GIS的广西土壤侵蚀敏感性评价.水土保持研究,2007,14(1):98-100
    [27]马晓微,杨勤科,刘宝元.基于GIS的中国潜在水土流失评价研究[J].水土保持学报,2002,16(4):49-53
    [28]莫斌,朱波,王玉宽,等.重庆市土壤侵蚀敏感性评价[J].水土保持通报,2004,24(5):45-59
    [29]南秋菊,华洛.国内外土壤侵蚀研究进展[J].首都师范大学学报(自然科学版),2003,24(2):86-95
    [30]欧阳志云,王效科,苗鸿.中国生态环境敏感性及其区域差异规律研究[J].生态学报,2000,20(1):9-12
    [31]潘剑君,赵其国,张桃林.江西省兴国县、余江县土壤侵蚀时空变化研究[J].土壤学报,2002,39(1):58-64
    [32]潘竟虎,鱼腾飞,相得年.陇东黄土高原土壤侵蚀景观格局变化分析[J].山地农业生物学报,2007,26(4):314-318
    [33]潘贤章,梁音,李德成.基于”3S”集成技术的土壤侵蚀图野外校核[J].土壤学报, 2007,39(6):948-952
    [34]乔彦肖.卫星遥感技术在永定河流域(河北)土壤侵蚀调查评价中的应用研究[J].遥感技术与应用,2001,16(2):91-96
    [35]沈云良,邱沛炯等.利用TM图像监测水土流失变化及对策分析[J].中国水土保持,1993,(4):45-49
    [36]石承苍等.川西南山地区土地资源、土壤侵蚀遥感调查及土壤侵蚀定量评价.西南农业学报,1995,8(4):53-56
    [37]史德明,韦启幡.中国南方侵蚀土壤退化指标体系研究[J].水土保持学报,2000,14(3):2-11
    [38]孙希华.基于GIS的济南市山丘区土壤侵蚀潜在危险度评价研究[J].水土保持学报,2003,17(6):47-50
    [39]孙秀美,孙希华,冯军华.沂蒙山区土壤侵蚀敏感性评价.水土保持通报,2007,27(3):84-92
    [40]唐克丽.中国水土保持[M].北京:科学出版社,2004
    [41]同业超,张树文,李晓燕.黑龙江克拜黑土区多年来侵蚀沟时空变化[J].地理学报,2005,60(6):1015-1020
    [42]万忠成,王治江,董丽新,等.辽宁省生态系统敏感性评价[J].生态学杂志,2006,26(5):677-681
    [43]王安明,章孝灿,黄智才.浙江省水土流失遥感普查有关技术问题的研究[J].中国水土保持,1999,(7):19-21
    [44]王春菊,汤小华,郑达贤,等.GIS支持下的土壤侵蚀敏感性评价研究[J].水土保持通报,2005,25(1):68-74
    [45]王让会,樊自立.塔里木河流域生态脆弱性评价研究[J].干旱环境监测,1998,12(4):218-223
    [46]王小丹,钟祥浩,范建容.西藏土壤侵蚀敏感性评价及其空间分异规律[J].地理学报,2004,59(2):183-188
    [47]王效科,欧阳志云,肖寒,等.中国土壤侵蚀敏感性分布规律及其区划研究[J].生态学报,2001,21(1):14-19
    [48]韦中亚,徐素宁,吴景双,等.土壤侵蚀调查中的航空137Cs测量方法初探[J].水土保持研究,2001,8(2):45-49
    [49]吴素业.安徽大别山区降雨侵蚀力简化算法与时空分布规律.中国水土保持,1994,4:12-13
    [50]吴素业.安徽大别山区降雨侵蚀力指标的研究.中国水土保持,1992,2:32-33
    [51]杨存建,刘纪远,张增祥,等.遥感和GIS支持下的云南省退耕还林还草决策分析[J].地理学报,2001,56(2):181-188
    [52]杨勤科,李锐.中国水土流失和水土保持定量研究进展[J].水土保持通报,1998,18(5):13-18
    [53]杨勤科,李锐等.中国水土流失宏观动态评价与趋势预测研究.区域水土流失快速调查与管理信息系统研究[M].郑州:黄河水利出版社,2000
    [54]杨胜天,朱启疆.人机交互式解译在大尺度土壤侵蚀遥感调查中的作用[J].水土保持学报,2000,14(3):88-91
    [55]尹海伟,徐建刚,陈昌勇,等.基于GIS的昊江东部地区生态敏感性分析[J].地理科学,2006,26(1):64-69
    [56]喻权刚.陕北黄土丘陵区土壤侵蚀遥感研究[J].水土保持学报,1997,(3):46-51
    [57]张兵,王向军,童庆禧.一种黄土区土壤侵蚀强度遥感调查新方法[J].国土资源遥感,1996(4):36-39
    [58]张登荣等.基于卫星遥感和GIS技术的水土流失动态监测体系研究[J].浙江大学学报,2001,28(5):577-582
    [59]张洪江.土壤侵蚀原理[M].北京:中国林业出版社,2005
    [60]张树文,王文娟,李颖.近50年来三江平原土壤侵蚀动态分析[J].资源科学,2008,30(6):843-849
    [61]张有全,宫辉力,赵文吉.基于GIS和USLE的密云县土壤侵蚀评价及空间特征研究[J].水土保持研究,2007,14(3):358-364
    [62]张征云,孙贻超.天津市土壤盐渍化现状与敏感性评价[J].农业环境科学学报,2006,4:954-957
    [63]赵文武,朱靖,郭雯雯.基于降雨量和降雨时间的月降雨侵蚀力简易算法—以陕北黄土丘陵沟壑区为例.中国水土保持科学,2007,5(6):8-14
    [64]赵晓丽,张增样,等.中国土壤侵蚀现状及综合防治对策研究[J].水土保持学报,2002,16(l):40-43
    [65]赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003
    [66]郑永春,王世杰,欧阳自远.地球化学示踪在现代土壤侵蚀研究中的应用[J].地理科学进展,2002,21(5):507-516
    [67]周佩华,川均良,刘普灵,等.黄土高原土壤侵蚀与稀土元素示踪研究[J].水土保持研究,1997,4(2):2-9
    [68]周修萍,秦文娟.华南三省(区)土壤对酸雨的敏感性及其分区图[J].环境科学学报,1992,12(1):78-83
    [69]周跃,万哗,汪竹青,等.对研制云南山地水土流失动态监测系统的初步尝试[J].山地学报,2002,20(4):480-484
    [70]朱韦,魏虹,彭月.三峡库周区不同土地利用方式下土壤侵蚀变化特征[J].水土保持研究,2007,14(3):376-383
    [71] C.S.Renschler,C.Mannaerts,B.Diekkruger.Evaluating spatial and temporal variability in soil erosion risk-rainfall erosivity and soil loss ratios in Andalusia,Spain[J].1999,34:209-225.
    [72] Chisci.G, Influence of change in land use and management on the acceleration of land degradation phenomena in the Apennines hilly areas.In:Chisci.G, Morgan, R.P.C. (Eds.), Soil erosion in the European Community-Impact of change in agriculture.Balkema, Rotterdam, The Netherlands, 1986.53-71
    [73] Harley D. Bet&l & Ronald C. DeRosel. Digital elevation models as a tool for monitoring and measuring gully erosion., 1999,1 (2):91-101
    [74] HORSER, HICKEY J. Ecological sensitivity of Austr1ian rainforests to Selective Logging [J]. Austrlian Jounal of Ecology, 1991,16(1):114-12
    [75] Hua Lu, John Gallant, Ian P Prosser, et al.Prediction of sheet and rill erosion over the Australian continent. Incorporating monthly soil loss distribution. CSIRO Land and Water Technical Report,2001
    [76] Kosmas.C,Danalatos.N,Cammeraat.L.H,etal.The effect of land use on runoff and soil erosion rates under Mediterranean conditions.Catena.Elsevier,Amsterdam,The Netherlands,1997,29(1):45-59
    [77] KUMAR KSK, PARIKHJ. Indian agriculture and climates sensitivity[J]. Global Environment Change, Part A:Human and Policy Dimensins,2001,11(2):147-154
    [78] Lester R.B.全球耕地土壤资源的侵蚀状况[J].地理译报,1987,3:12-17
    [79] Mathieu, R, King, C, LeBissonnais, Y. Contribution of multi-tempora1 SPOT data to the mapping of a soil erosion index. the case of the loamy plateaux of northern France.Soil Technology,1997,10(2):99-110
    [80] Matthew J.Cohen,Keith D.Shepherd,Markus G.Walsh.Empirical reformulation of the universal soil loss equation for erosion risk assessment in a tropical watershed[J].Geoderma.2005,124:235-252
    [81] Mellerowiez K T, Rees H w, Chow T L, Chanem I. Soil conservation planning and the watershed level using the Universal soil Loss Equation with GIS and microcomputer technologies: A case study [J].soil and Water Cons, 1994, 49, 2:194-200
    [82] R.K.Misra,P.C.Teixeira.The sensitivity of erosion and erodibility of forest soils to structure and strength[J].Soil&Tillage Research.2001,59:81-93

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