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基于GIS的区域水土流失敏感性评价
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摘要
本文以位于渭河平原水蚀区与黄土高原沟壑水蚀区交错带的韩城市为研究区。在地理信息系统(GIS)软件的支持下,根据通用水土流失方程(USLE),对韩城市水土流失敏感性进行了评价,并分析其敏感性等级在地理空间上的分布状况,同时也对韩城市潜在水土流失敏感性进行了分析评价。在流域区划的基础上,评价各流域水土流失敏感性。通过本文的研究可以为韩城市水土流失预防和治理提供有益的参考,对整个渭河平原与黄土高原沟壑水蚀区交错带的环境改善提供科学依据。
     首先,通过对各水土流失敏感性的影响因子进行了计算分析,得到的各水土流失单因子敏感性等级的空间分布;再将各单因子的敏感性等级赋值进行叠加运算,得到韩城市水土流失敏感性各等级空间分布规律,同时,在不考虑地表覆盖因子的前提下,计算出韩城市潜在水土流失敏感性空间分布规律;最后,利用ArcGIS的水文分析工具,将研究区划分为4个小流域,按照韩城市水土流失敏感性值的计算方法,得到各流域的水土流失敏感性值,并对各流域水土流失的敏感性进行分析评价。
     经过运算分析,韩城市降水侵蚀力和土壤可蚀性单因子敏感性等级普遍偏高,中度敏感以上等级分别占研究区总面积的60.3%,78.46%;地形和地表覆盖单因子敏感性等级土壤可蚀性单因子敏感性等级总体上较低,中度敏感以下等级分别占研究区总面积的65.88%,63.63%。在此基础上,韩城市水土流失敏感性等级以轻度敏感和不敏感等级为主,分别占研究区总面积的52.76%,45.81%,其中,中部浅山丘陵区敏感性等级高于西北部深山区和东部河谷川道,这与韩城市潜在水土流失敏感性等级的空间分布相似。但在韩城市潜在水土流失敏感性中,中度敏感以上等级的分布面积有不同程度的提高,特别是中度敏感等级的分布面积增加到340.93km2。另外,各流域水土流失敏感性总体上也呈现与韩城市水土流失敏感性相似的空间分布特征。
     本文通过采用GIS技术对区域水土流失敏感性进行评价,可以更加方便、实时提取各敏感性因子,提高了水土流失敏感性评价的时效性,科学性。
This paper take Hancheng as study area, which located at the ecotone between the Weihe River plain water erosion area and the Loess Plateau gully erosion zone. In Geographical information system (GIS) software's support, according to the general soil erosion equation (USLE), has appraised the soil erosion sensitivity in Hancheng, and analyzes its sensitive rank in the geography space distributed condition, simultaneously has also analyzed the potential soil erosion sensitivity in Hancheng. In the basin regionalization's foundation, appraises various basins soil erosion sensitivity. May provides the beneficial reference of Prevention and government for soil erosion in Hancheng and provide the scientific basis for environment improvement in the entire ecotone between the Weihe River plain water erosion area and the Loess Plateau gully erosion zone, through this paper research.
     First, through to various soil erosion sensitive influence factor computation analysis, obtain the single-factor spatial distribution of soil erosion sensitivity; Then assignment for overlay operations for the sensitivity level of the single-factor, obtains distribution of various grades of sensitivity to soil and water loss in Hancheng. Simultaneously, in did not consider that the surface cover factor, calculate the sensitivity spatial distribution of the potential soil erosion sensitivity; Finally, through the hydrology analysis tool of ArcGIS, divided into four small basin of the study, according to the soil erosion sensitive value's computational method of Hancheng, obtain the various basins soil erosion sensitive value, and appraise various basins soil erosion's sensitivity.
     After the operation analysis, rainfall erosivity and soil erodibility are generally high level of single-factor sensitivity in Hancheng, more moderate level of sensitivity account for 60.3% of total area,78.46%; Terrain and land cover single factor sensitivity level single factor of soil erodibility generally lower sensitivity level, below moderate level account for the research area total area separately 65.88%,63.63%. On this basis, soil sensitivity by light-sensitive and insensitive level primarily, accounts for the research area separately 52.76%,45.81%. The sensitivity level of central shallow mountain area is higher than the mountain valley in northwest and eastern valley area, this is similar the potential soil erosion sensitivity level's spatial distribution. But the distribution area of above moderate sensitive level is enhanced of potential soil erosion of sensitivity in Hancheng, specially the moderate sensitive level's dispersal area increases 340.93km2. Moreover, the spatial distribution characteristic of various basins soil erosion sensitivity also presents as a whole with the soil erosion sensitivity similar of Hancheng.
     This paper evaluate the sensitivity of the regional soil erosion through the GIS technology, it can be more convenient, real-time extraction of the sensitivity factor, improves the timeliness and scientific of soil erosion sensitivity evaluation.
引文
[1]王效科,欧阳志云,肖寒,等.中国水土流失敏感性分布规律及其区划研究[J].生态学报,2001,21(1):14-19
    [2]徐靓.基于GIS的水土流失强度的研究[D].西安:西安科技大学,2004
    [3]肖寒,欧阳志云,王效科,等.GIS支持下的海南岛土壤侵蚀空间分布特征[J].土壤侵蚀与水土保持学报,1999,5(4):75-80
    [4]廖鸿.水土流失成为头号环境问题[J].中国减灾,2004,1:1-3
    [5]贺奋琴.基于RS和GIS的水土流失因子提取与分析[D].成都:成都理工大学,2004
    [6]连米钧.水土流失概念及水土流失强度分级标准探析[J].山西水土保持科技,2001,1:25-28
    [7]陕西省土壤普查办公室.陕西土壤[M].北京:科学出版社,1992:586-588
    [8]张宇宾.县域水土流失监测信息系统初步研究[D].武汉:中国科学院研究生院,2002
    [9]陈军,黄光庆,周阳品.基于GIS的区域水土流失评价研究[J].贵州大学学报(自然科学版),2008,25(2):201-205
    [10]胡良军,李锐,杨勤科.基于GIS的区域水土流失评价研究[J].土壤学报,2001,38(2):167-175
    [11]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(5):13-18
    [12]李阳兵,邵景安,王世杰,等.基于岩溶生态系统特性的水土流失敏感性评价[J].山地学报,2007,25(6):671-677
    [13]唐政洪,蔡强国,许峰.流域侵蚀产沙的尺度变异规律研究[J].中国水土保持科学,2004,2(1):56-61
    [14]汪翠英.区域水土流失模型敏感性分析[D].西安:西北农林科技大学,2008
    [15]刘康,康艳,曹明明,等.基于GIS的陕西省水土流失敏感性评价[J].水土保持学报,2004,18(5):168-170
    [16]欧阳志云,王效科,苗鸿.中国生态环境敏感性区域差异性研究[J].生态学报,2000,20(1):9-12
    [17]王小丹,钟祥浩,范建容.西藏水土流失敏感性评价及其空间分异规律[J].地理学报,2004,59(2):183-188
    [18]吴志军,刘淼,王子楠.基于GIS的鞍山市水土流失敏感性评价[J].辽宁工程技术大学学报(自然科学版),2009,28(z1):131-133
    [19]陈晓燕.GIS技术在通用土壤流失方程中的应用研究[J].中国水土保持,2005,5:38-40
    [20]陈永宝,黄传伟,陈志伟,等.USLE在我国的应用和发展[J].中国水土保持,2003,10:11-13
    [21]Meyer L D. Evaluation of the universal soil loss equation[J]. Journal of Soil and Water Conservation,1984,39:99-104
    [22]Zingg A W. Degree and length of land slope as it affects soil loss in runoff[J]. Agricultural Engineering,1940,21:59-64
    [23]Smith D D. Interpretation of soil conservation data for field use[J]. Agricultural Engineering,1941,22:173-175
    [24]Wischmeier W H.,Smith D D.Predicting rainfall-erosion losses from cropland and east of the Rocky Mountains[S].USDA,ARS,Agriculture Handbook 282,1965
    [25]陈云明,刘国彬,郑粉莉等.RUSLE侵蚀模型的应用及进展[J].水土保持研究,2004,11(4):80-83
    [26]Renard,K QFoster G R,et al.Predicting soil erosion by water.A guide to conservation planning with the reviseduniversal soil loss equation (RUSLE) [S].USDA.Agric. Handb. No.703.Washington,DC.U.S.Gov.Print.Office,1997
    [27]Nearing M A,Lane L J,Alberts E E,et al.Prediction technology for soil erosion by water:status and research needs[J].Soil Sci.Soc.Am.J.,1990,54(6):1702-1711
    [28]张玉斌,郑粉莉,贾媛媛.WEEP模型概述[J].水土保持研究,2004,11(4):146-149
    [29]牛志明,解明曙.新一代土壤侵蚀水蚀预测模型——WEEP[J].中国水土保持,2001,1:20-22
    [30]张玉斌,郑粉莉.ANSWERS模型及其应用[J].水土保持研究,2004,11(4):165-168
    [31]张玉斌,郑粉莉.AGNPS模型及其应用[J].水土保持研究,2004,11(4):124-127
    [32]贾媛媛,郑粉莉.LISEM模型及其应用[J].水土保持研究,2004,11(4):91-93
    [33]贾媛媛,郑粉莉,杨勤科.国外水蚀预报模型述评[J].水土保持通报,2003,23(5):82-87
    [34]胡良军,邵明安.区域水土流失研究综述[J].山地学报,2001,19(1):69-74
    [35]杨勤科,李锐,曹明明.区域土壤侵蚀定量研究的国内外进展[J].地球科学进展,2006,21(8):849-856
    [36]土壤学与水土保持编辑委员会.土壤学与水土保持:朱显谟院士论文选集[M].西安:陕西人民出版社,2005
    [37]黄秉维.编制黄河中游流域土壤侵蚀分区图的经验教训[J].科学通报,1955,12:15-21
    [38]卫伟,陈利顶,傅伯杰,等.半干旱黄土丘陵沟壑区降水特征值和下垫面因子影响下的水土流失规律[J].生态学报,2006,26(11):3847-3853
    [39]张岩,刘宝元,史培军,等.黄土高原土壤侵蚀作物覆盖因子计算[J].生态学报,2001,21(7):1050-1056
    [40]张爱国,马志正,杨勤科,等.中国水土流失土壤因子研究进展[J].山西师范大学学报(自然科学版),2002,16(01):79-85
    [41]杨勤科,罗万勤,马宏斌,等.区域水土流失植被因子的遥感提取[J].水土保持研究,2006,13(05):267-268
    [42]张瑞芳.基于GIS的山西省朔州市水土流失强度评价研究[D].乌鲁木齐:新疆师范大学,2006
    [43]李锐,杨勤科,赵永安.水土流失动态监测与评价研究现状与问题[A].见:李锐.全国区域水土流失快速调查与管理信息系统研讨会论文集[C],1998,1-7
    [44]张信宝,贺秀斌,文安邦,等.不同尺度域的侵蚀模数[J].水土保持通报,2006,26(2):69-71
    [45]王万忠,焦菊英,郝小品,等.中国降雨量侵蚀力R值的计算与分布(Ⅰ)[J].水土保持学报,1995,4:5-18
    [46]刘兴昌,张友顺.水土保持原理与规划[M].西安:西北大学出版社,1988:41-46
    [47]李新,程国栋,卢玲.空间内插方法比较[J].地球科学进展,2000,15(3):260-265
    [48]宋阳,刘连友,严平,等.土壤可蚀性研究述评[J].干旱区地理,2006,29(01):124-131
    [49]Bouyoucos G J.The clay ratio as a criterion of susceptibility of soils erosion[J]. Journal of American Society of Agronomy,1935,27:738-741
    [50]张黎明.我国南方不同类型土壤可蚀性K值及相关因子研究[D].广州:华南热带农业大学,2005
    [51]梁音,史学正.长江以南东部丘陵山区土壤可蚀性K值研究[J].水土保持研究,1999,6(2):47-52
    [52]刘宝元,张科利,焦菊英.土壤可蚀性及其在侵蚀预报中的应用[J].自然资源学报,1999,14(04):345-350
    [53]周为锋.基于遥感和GIS的区域土壤侵蚀调查研究[D].北京:中国科学院研究生院博士学位论文,2005
    [54]陈庆男,魏成阶.“礼炮”号遥感图像在于桥水库流域土壤侵蚀调查及治理规划中的应用[J].环境遥感,1993,8(1):45-53
    [55]王万忠,焦菊英.中国的土壤侵蚀因子定量评价研究[J].水土保持通报,1996,16(5): 1-20
    [56]周红艺,李辉霞,范建蓉,等.元谋干热河谷土壤侵蚀敏感性评价[J].中国水土保持,2009,4:39-41
    [57]汤国安,杨昕.ArcGIS地理信息系统空间分析实验教程[M].北京:科学出版社,2006
    [58]焦超卫.基于DEM的1:50000区域尺度水土流失地形因子研究——以黄土高原部分样区的实验为例[D].西安:西北大学,2006
    [59]刘新华.区域水土流失地形因子分析与提取研究[D].杨陵:中国科学院水利部水土保持研究所,2001
    [60]刘新华,张晓萍,杨勤科,等.不同尺度下影响水土流失地形因子指标的分析与提取[J].西北农林科技大学学报,2004,32(6):107-111
    [61]中华人民共和国水利部.中华人民共和国行业标准(SL 190-96)土壤侵蚀分类分级标准[S].1997
    [62]王治国,段喜明,李文银,等.开发建设项目水土流失预测的若干问题讨论[J].中国水土保持,2000,(4):36-39
    [63]刘敬军,田素平.铁路建设工程水土流失预测方法探讨[J].黑龙江水利科技,2002,(1):25-30
    [64]赵静.三峡库区1998~2007年植被覆盖动态变化研究[D].武汉:华中农业大学,2008
    [65]刘玉洁,杨忠东.MODIS遥感信息的处理原理与算法[M],北京:科学出版社,2001
    [66]师庆东.基于FVC指数对1982~2000年中国西部干旱区植被覆盖时空变化特征分析[D].南京:南京气象学院,2004
    [67]李苗苗.植被覆盖度的遥感估算方法研究[D].北京:中国科学院遥感应用研究所,2003
    [68]张雪花,侯文志,王宁.东北黑土区土壤侵蚀模型中植被因子C值的三研究[J].农业环境科学学报,2006,25(3):797-801

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