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1.
为揭示大盈江流域土地利用/土地覆被变化对径流变化的影响,基于SWAT(Soil and Water Assessment Tool)模型,通过设置不同情景,定量分析了土地利用类型变化对流域内径流的影响。结果显示:(1)SWAT模型在大盈江流域径流模拟中具有较好的适用性,率定期的模型参数R2、Ens分别达到0.68、066,验证期的模型参数R2、Ens分别达到0.69、0.67;(2)大盈江流域月均径流量与土地利用类型关系密切:把农业用地变成林地或者草地,径流量均会减少,把林地变成草地径流量则会增加,农、林、草3种土地利用类型中产流由强到弱依次为农业用地、草地、林地。(3)2006~2015年,大盈江流域土地利用类型变化主要为农业用地和林地转化为草地,这种转变导致流域的月均径流量略有增加,增加的径流量主要是由林地转化为草地所致,且林地转化为草地引起的径流增加量强于农业用地转化为草地引起的径流减少量。  相似文献   

2.
大理市土地利用变化及其驱动力分析   总被引:1,自引:0,他引:1  
利用大理市1995年和2000年两期TM影像解译土地利用数据,在GIS分析工具支持下,对土地利用变化和驱动因素进行分析,得出以下结论:(1)1995年到2000年这5年期间,土地利用变化总体呈现出林地和草地减少、耕地和建筑用地增加的趋势,水域面积变化不明显;(2)土地利用年变化率为0.5%,其中以建设用地面积的年变化率最大为5.84%,耕地和林地的年变化率分别为1.85%和-1.41%,而草地和水域年变化率较小,分别为-0.7%和0.01%;(3)土地利用类型转化主要呈现出林地和草地转化为耕地,耕地和草地转化为建筑用地,林地和草地相互转化的特点;(4)土地利用结构变化不明显,总体上表现出林地占优势,耕地、草地、水域相当的结构特征;(5)自然条件对土地利用结构具有重要的控制作用,而人口增长,政府行为决策和经济的发展直接影响土地利用的变化。  相似文献   

3.
2000-2010年中国退牧还草工程区土地利用/覆被变化   总被引:1,自引:0,他引:1  
在3S技术支持下,结合景观格局定量分析方法,基于30 m分辨率的土地利用/覆被数据,对中国退牧还草工程区2000-2010年土地利用/覆被时空分布特征进行研究。通过利用土地利用转移矩阵和动态度来判定土地利用变化的速度和区域差异,并在斑块类型和景观水平上分析研究区景观格局特征,探讨土地利用格局变化的生态效应。结果表明:①近10年来,研究区土地利用/覆被类型以草地和其他类用地为主,整体内部结构稳定少动。草地变化面积仅占2000年草地总面积的0.37%;林地、湿地、耕地和人工表面的面积均有所增加;其他类用地面积有所减少。②全区土地综合动态度均小于0.1%,土地利用/覆被变幅较小,除人工表面较活跃外,其他各类型变化相对缓慢,且各省土地利用区域差异较小。③研究区内景观基质未发生改变,区域景观破碎度递减,景观多样性水平上升,景观聚集度和连续性微弱下降,景观整体保持较完整态势。退牧还草工程的实施使土地利用/覆被结构和景观格局均得以优化。  相似文献   

4.
1990—2010年黄河宁蒙段所处流域土地利用变化   总被引:1,自引:0,他引:1  
以Landsat TM和ETM+遥感影像为基础数据源,应用地理信息系统技术,对黄河宁蒙段所处流域1990-2010年土地利用变化进行了监测,并结合气候变化、人类活动和政策因素探讨了土地利用变化的驱动力,初步分析了土地利用/覆被变化对流域水-沙关系的影响。结果表明:(1)20年来研究区建设用地面积增加了1 310.04 km2,耕地面积增加了611.15 km2,水域和草地面积分别减少了1 499.51 km2和474.93 km2;(2)20年来黄河宁蒙段所处流域土地利用变化速度经历了缓慢变化-显著变化-急剧变化的过程。各土地利用类型在后10 年(2000-2010年)的变化速度均比前10年(1990-2000年)大;(3)研究时段内草地和未利用地转化为林地,草地和耕地被开发为建设用地,未利用地和草地被开垦为耕地;(4)人类活动和政策因素是影响20年来土地利用变化的主要驱动因子,但人口数量的增加、经济的发展及环境政策的调整对研究区土地利用变化的影响更为显著;(5)1990-2010年流域耕地和林地面积分别增加了611.15 km2和543.19 km2,植被覆盖度由1990年的34.7%增加到2010年的40.8%。林地和耕地面积的增加均使得流域总蒸发量增加,灌溉用水增加,从而径流量减少,植被覆盖度的增加使得流域径流量和输沙量均降低。  相似文献   

5.
基于遥感技术的银川市土地利用/覆被研究   总被引:1,自引:2,他引:1  
杜灵通 《干旱区地理》2007,30(4):85-589
为消除地形复杂地区不同地物的同谱异物现象,在遥感(RS)和地理信息系统(GIS)技术的支持下,采用分区分类方法对宁夏银川市1991和1999年的Landsat TM/ETM 影像进行解译,得到了银川市两期土地利用/覆被变化数据。在此基础上,通过转移矩阵和土地利用/覆被变化幅度、动态度及状态指数模型,对银川市土地利用/覆被变化的状况和变化过程进行了研究。结果表明,在研究期内,银川市各土地利用/覆被变化类型都有不同程度的变化。林地、耕地和城市用地转入大于转出,朝着规模增加的方向发展,而草地和水体转出大于转入,朝着规模缩小的方向发展,未利用地虽然转入大于转出,但变化缓慢;土地利用/覆被年变化率最大的是草地,其次为耕地,未利用地的最小。  相似文献   

6.
基于遥感技术的宁夏南部山区LUCC研究   总被引:9,自引:1,他引:8  
以1975、1987 和2001 年的Landsat TM/MSS 影像为数据源, 利用遥感(RS) 和地理信息系 统(GIS) 相结合的技术, 运用统计方法和转移矩阵对宁夏南部山区26 年来的土地利用/覆被变化 ( LUCC) 状况进行了研究。结果表明, 宁夏南部山区土地利用/覆被的主要类型是耕地, 其次是草 地和林地; 耕地在1987 年达到了最高峰, 为790312.06hm2, 占总土地面积的70.03%。转移矩阵分 析得出, 在1975~1987 年间, 有370770.52hm2 草地和39813.57hm2 林地转化成耕地; 而在1987~ 2001 年间又有316865.89 hm2 耕地转化为草地和50729.16 hm2 耕地转化为林地。导致这种变化 的原因是上世纪70、80 年代当地经济发展思路以基本农田建设为中心, 鼓励农民进行开荒种地; 而到90 年代后, 国家开发政策的转变和重大生态工程的建设, 特别是退耕还林还草, 为当地草地 和林地的恢复起到了重要的作用。  相似文献   

7.
基于遥感和GIS的松嫩沙地土地利用/土地覆被时空格局研究   总被引:23,自引:9,他引:14  
利用1986年和2000年2期TM影像资料,建立相应的空间图形库系统,定量分析了松嫩沙地典型区近15a来土地利用数量变化,从土地利用斑块特征、斑块空间邻接关系变化和主导变化类型角度对土地利用/覆被格局进行了清晰的空间描述。结果表明,研究时段内该区土地利用量变和质变活跃。耕地面状成片、条带状延伸和斑块状空间扩展,从整体上呈现集中化特征。较大面积的草地和林地被分割、破碎化,小块盐碱化草地空间聚集与扩张。耕地与草地、草地与盐碱地空间相邻度变大,草地开垦强度增大、土地盐碱化日益严重。空间变化上表现为耕地、林地、草地和未利用地之间相互转化,以草地、林地-旱地,草地-未利用地,未利用地-旱地、水田及旱地-水田最为显著。  相似文献   

8.
榆林地区土地利用/覆被变化区域特征及其驱动机制分析   总被引:31,自引:18,他引:13  
利用榆林地区1986、1995年土地利用现状图,在地理信息系统支持下建立土地利用变化转移矩阵,结合多年社会统计资料分析榆林地区10多年来的土地利用动态变化特征。研究结果表明:土地利用类型变化幅度大、流转方向较为集中,具体表现为农田总面积下降、耕地质量局部改善,林草覆盖面积增长、其它用地类型面积减少;从区域角度分析,南部黄土丘陵沟壑区耕地面积减少、成熟林地面积增加幅度大与西北部风沙区耕地面积轻微增加、天然草地优势地位增强形成鲜明对比,这种区域特征符合“因地制宜”规律,与“退耕还林还草”政策导向吻合。全区总人口及其区域分布、农民年均收入和农业人口比重为该区土地利用/覆被变化的主要驱动力,同时人们的环境保护意识和相应的土地政策也对该区土地利用/覆被变化产生较大影响。  相似文献   

9.
汾河源区生态系统服务价值的时空变化   总被引:1,自引:0,他引:1  
高婧  李晋昌  杨永刚 《中国沙漠》2015,35(3):814-820
运用GIS和遥感技术分析了汾河源区宁武县1990、2000、2010年的土地利用/覆被时空变化特征,并参照中国不同陆地生态系统单位面积服务价值,分析了该区域生态系统服务价值的时空变化。结果表明:1990-2010年,研究区生态系统服务价值共损失0.34×108元,且损失量和损失幅度呈增加趋势;研究区东北到西南方向上的大片低海拔区域生态系统服务价值减幅较大,主要与该区域频繁的人类活动有关,而高海拔山区减幅较小或略有增加。气候暖干化、过度放牧和建设用地增加引起的草地和水域减少是导致研究区生态系统服务价值减少的主要原因。  相似文献   

10.
陕西大理河流域土地利用/覆被变化的水文效应   总被引:5,自引:3,他引:2  
近年来,土地利用/覆被变化的水文效应研究已成为国际的前沿和重点。在大理河流域,LUCC(包括水土保持措施)对水循环和水量平衡产生了深远影响,该流域LUCC水文效应的研究势在必行。根据研究区1990年代三期土地利用数据分析了LUCC的时空变化特征,采用特征变量时间序列法及降水-径流模型对LUCC水文效应进行了研究。结果表明:流域土地利用类型以耕地和草地为主,近10年来,耕地和草地面积有所减少,而林地和建设用地面积持续增加;流域年径流和月径流演化过程均表现出明显的下降趋势;LUCC及水土保持具有减少流域年径流、汛期流量以及增加枯季流量的作用,相对于降水因素,人类活动对流域水文的作用占主导地位;在1990~2000年期间,主要由LUCC引起的年均径流减少量达2616.6×104 m3,占该期间实测减水总量的62.19%。  相似文献   

11.
During the last decade of the 20th century, extensive conversion in agricultural land use took place in Northeast China. The goal of this study is to ascertain its spatial distribution and regional differentiation, determine its causes, and analyze its environmental impact. Especially we attempt to elucidate how institutional constraints have facilitated the change at a time of agrarian restructuring when newly emerging free market was hybridized with the former planned economy. Information on six categories of land use was mapped from interpretation of Landsat TM images recorded in 1990, 1995 and 2000. Most of land use changes took place during the first half of the decade, coinciding with abrupt and chaotic changes in government directives. Farmland was changed mainly to woodland, water body and built-up areas while woodland and grassland were converted chiefly to farmland. Spatially, the change from farmland to woodland was restricted to the west of the study area. The change from grassland to farmland took place in the grazing and farming interlocked west. These chaotic and occasionally conflicting changes were largely caused by lack of stability and consistency in agricultural land use policies promulgated. They have exerted adverse impacts on the local environment, including land degradation, increased flooding, and modified climate regime.  相似文献   

12.
1IntroductionLand use change has received lots of attention internationally (Turner etal., 1994). Understanding of the mechanism of land use change and its adverse effect on the environment is conducive to understanding of population, resources, environment and sustainable economic development on the global, national and regional scales. With the rapid rise in human population, human-induced changes in land use form an important component of regional environmental change. In China, to emphasi…  相似文献   

13.
Model simulation and scenario change analysis are the core contents of the future land-use change (LUC) study. In this paper, land use status data of the Three Gorges Reservoir Region (TGRR) in 1990 was used as base data. The relationship between driving factors and land-use change was analyzed by using binary logistic stepwise regression analysis, based on which land use in 2010 was simulated by CLUE-S model. After the inspection and determination of main parameters impacting on driving factors of land use in the TGRR, land use of this region in 2030 was simulated based on four scenarios, including natural growth, food security, migration-related construction and ecological conservation. The results were shown as follows: (1) The areas under ROC curves of land-use types (LUTs) were both greater than 0.8 under the analysis and inspection of binary logistic model. These LUTs include paddy field, dryland, woodland, grassland, construction land and water area. Therefore, it has a strong interpretation ability of driving factors on land use, which can be used in the estimation of land use probability distribution. (2) The Kappa coefficients, verified from the result of land-use simulation in 2010, were shown of paddy field 0.9, dryland 0.95, woodland 0.97, grassland 0.84, construction land 0.85 and water area 0.77. So the results of simulation could meet the needs of future simulation and prediction. (3) The results of multi-scenario simulation showed a spatial competitive relationship between different LUTs, and an influence on food security, migration-related construction and ecological conservation in the TGRR, including some land use actions such as the large-scale conversion from paddy field to dryland, the occupation on cultivated land, woodland and grassland for rapid expansion of construction land, the reclamation of woodland and grassland into cultivated land, returning steep sloping farmland back into woodland and grassland. Therefore, it is necessary to balance the needs of various aspects in land use optimization, to achieve the coordination between socio-economy and ecological environment.  相似文献   

14.
近30年玉门市土地利用与景观格局变化及其驱动力   总被引:7,自引:0,他引:7  
潘竟虎  苏有才  黄永生  刘晓 《地理研究》2012,31(9):1631-1639
干旱内陆河流域生态环境非常脆弱,是土地利用和景观格局变化的敏感区域,也是全球环境变化响应比较突出的区域。采用1976年、1989年、2000年和2010年的Landsat遥感影像,利用GIS技术和景观格局分析方法,系统地分析了疏勒河中游玉门市的土地利用和景观格局变化的时空特征,为研究区土地可持续利用政策的制定提供参考和依据。研究结果显示:近34a来,玉门市土地利用和景观格局发生了剧烈变化,土地利用变化经历了"缓慢变化—急剧变化—显著变化"的过程。研究区景观密度增大,多样性和均匀度先减小,后增加;不同斑块间的分离度减小。农业人口增长和经济发展是玉门市土地利用景观格局变化的最直接驱动力,同时还受气候因素和政策因素的影响。  相似文献   

15.
土地利用/覆被变化(Land Use and Cover Change, LUCC)模拟是LUCC研究的主要内容和重要手段。时间间隔是模拟过程中的重要参数,对模拟结果精度有何影响,有待深入研究。以新疆玛纳斯河流域典型绿洲区四道河子镇为例,基于遥感影像提取1975、1985、1995、2000、2005、2010年和2015年的土地利用数据,分别以20 a、15 a、10 a和5 a为时间间隔构建CA-Markov模型,模拟2015年土地利用结构,定量探讨时间间隔对CA-Markov模型精度的影响。结果表明:1975—2015年,四道河子镇LUCC以耕地和草地为主,期间耕地、建设用地迅速扩张,林地、草地和未利用地大幅减少,水域在1985—2000年呈现小幅增长。耕地的增加和草地及林地的减少是研究区近40 a LUCC最显著的特征。对比模拟结果与实际结果,时间间隔为20 a、15 a、10 a、5 a的TFOM分别为70.35%,69.18%,76.32%和88.00%。基于2005—2010年转移概率的模拟结果更接近于2015年实际结果,适合模拟四道河子镇未来的土地利用变化。土地利用模拟应依据区域LUCC特征确定最佳的时间间隔,提高模拟精度。  相似文献   

16.
嘉陵江中下游地区近30年土地利用与 覆被变化过程研究   总被引:12,自引:3,他引:12  
应用遥感和GIS技术及数理统计学的方法,利用1972年MSS遥感影像、1986年和2000年的TM遥感影像,在总结了目前使用较广泛的土地利用类型动态度模型的基础上,提出了转出速度、转入速度、综合动态度、状态指数等模型,并指出唯有将这些模型综合运用,才能更好地理解土地利用类型的动态变化。利用上述模型以及LUCC的幅度、区域差异模型,深入而全面的研究了自上世纪70年代初期以来嘉陵江中下游地区14个县市区LUCC的过程。  相似文献   

17.
阴山中段山地土地利用类型转换格局分析   总被引:3,自引:0,他引:3  
利用1990年TM数据和2000年ETM数据,以农牧交错带的阴山山地中段为研究区,分析1990~2000年土地利用类型的空间分异规律,重点探讨各土地利用类型中耕地、林地和草地的变化过程。研究表明,耕地的转移流向主要集中于草地,而草地的转移流向又集中于耕地,林地消失区主要转变为草地。阴山北麓为草地向耕地转变的集中区域;阴山南部是林地向草地转变最为集中的区域;阴山中部土地利用类型相互转化相对较少。在土地利用的垂向变化上,耕地减少区域集中分布于海拔1500~1600m及1700~1850m;而其他土地利用类型向耕地转变的集中分布区域大致在海拔1700~1900m范围;海拔1600-1800m为草地-耕地相互转移变化最为集中的区域;草地面积主要在海拔1450-1600m范围增加,在1650-1800m范围内减少;林地除在海拔2000~2200m范围内与非林地相互转变大致持平外,在其余地区均发生退化。海拔1800m和海拔2100左右是本农牧交错带山地土地利用类型波动最为集中的两个分布区。  相似文献   

18.
Land cover changes during agrarian restructuring in Northeast China   总被引:6,自引:0,他引:6  
During the last quarter of the 20th century the agrarian sector in China went through a series of reforms. Changes in government policy on land use led to extensive changes in land cover, culminating in the 1990s. These changes were detected from multi-temporal Landsat TM images of 1990, 1995 and 2000 for Northeast China. Overlay of the mapped land cover in ArcInfo showed that farmland and grassland decreased while water, built-up areas, and woodland increased. More than three-quarters of the detected changes occurred during 1990–1995. Farmland changed mainly to woodland, water, and built-up areas while woodland and grassland were converted chiefly to farmland. Spatially, the change from woodland to farmland adjoined the margin of natural forests while change in the opposite direction was restricted to the agropastoral west. Paradoxically, reclamation of grassland to farmland also took place in the agropastoral west. These conflicting changes were caused primarily by lack of stability and consistency in the government's land use policies.  相似文献   

19.
In areas with topographic heterogeneity, land use change is spatially variable and influenced by climate, soil properties, and topography. To better understand this variability in the high-sediment region of the Loess Plateau in which soil loss is most severe and sediment diameter is larger than in other regions of the plateau, this study builds some indicators to identify the characteristics of land use change and then analyze the spatial variability as it is affected by climate, soil property, and topography. We build two indicators, a land use change intensity index and a vegetation change index, to characterize the intensity of land use change, and the degree of vegetation restoration, respectively. Based on a subsection mean method, the two indicators are then used to assess the spatial variability of land use change affected by climatic, edaphic, and topographic elements. The results indicate that: 1) Land use changed significantly in the period 1998-2010. The total area experiencing land use change was 42,302 km2, accounting for 22.57%of the study area. High-coverage grassland, other woodland, and forest increased significantly, while low-coverage grassland and farmland decreased in 2010 compared with 1998.2) Land use change occurred primarily west of the Yellow River, between 35 and 38 degrees north latitude. The four transformation types, including (a) low-coverage grassland to medium-coverage grassland, (b) medium-coverage grassland to high-coverage grassland, (c) farmland to other woodland, and (d) farmland to medium-coverage grassland, were the primary types of land use change, together constituting 60% of the area experiencing land use change. 3) The spatial variability of land use change was significantly affected by properties of dryness/wetness, soil conditions and slope gradient. In general, land use changed dramatically in semi-arid regions, remained relatively stable in arid regions, changed significantly in clay-rich soil, remained relatively stable in clay-poor soil, changed dramatically in steeper slopes, and remained relatively stable in tablelands and low-lying regions. The increase in vegetation coincided with increasing changes in land use for each physical element. These findings allow for an evaluation of the effect of the Grain to Green Program, and are applicable to the design of soil and water conservation projects on the Loess Plateau of China.  相似文献   

20.
In areas with topographic heterogeneity, land use change is spatially variable and influenced by climate, soil properties, and topography. To better understand this variability in the high-sediment region of the Loess Plateau in which soil loss is most severe and sediment diameter is larger than in other regions of the plateau, this study builds some indicators to identify the characteristics of land use change and then analyze the spatial variability as it is affected by climate, soil property, and topography. We build two indicators, a land use change intensity index and a vegetation change index, to characterize the intensity of land use change, and the degree of vegetation restoration, respectively. Based on a subsection mean method, the two indicators are then used to assess the spatial variability of land use change affected by climatic, edaphic, and topographic elements. The results indicate that: 1) Land use changed significantly in the period 1998-2010. The total area experiencing land use change was 42,302 km2, accounting for 22.57% of the study area. High-coverage grassland, other woodland, and forest increased significantly, while low-coverage grassland and farmland decreased in 2010 compared with 1998. 2) Land use change occurred primarily west of the Yellow River, between 35 and 38 degrees north latitude. The four transformation types, including (a) low-coverage grassland to medium-coverage grassland, (b) medium-coverage grassland to high-coverage grassland, (c) farmland to other woodland, and (d) farmland to medium-coverage grassland, were the primary types of land use change, together constituting 60% of the area experiencing land use change. 3) The spatial variability of land use change was significantly affected by properties of dryness/wetness, soil conditions and slope gradient. In general, land use changed dramatically in semi-arid regions, remained relatively stable in arid regions, changed significantly in clay-rich soil, remained relatively stable in clay-poor soil, changed dramatically in steeper slopes, and remained relatively stable in tablelands and low-lying regions. The increase in vegetation coincided with increasing changes in land use for each physical element. These findings allow for an evaluation of the effect of the Grain to Green Program, and are applicable to the design of soil and water conservation projects on the Loess Plateau of China.  相似文献   

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