喜马拉雅山脉中段土地覆被的垂直分异特征     

张镱锂  吴雪  郑度 《地理学报》2020,75(5):931-948

喜马拉雅山脉中段的珠穆朗玛峰等地,海拔高差巨大、生境复杂多变、土地覆被类型多样且植被垂直带谱完整,是全球范围内研究土地覆被垂直变化的理想场所。本文基于30 m空间分辨率的土地覆被数据（2010年）和DEM数据,在ArcGIS和Matlab平台的支持下,提出并运用脊线法、样带法和扇区法3种山地南北坡划分方法,研究了喜马拉雅山土地覆被垂直分布与结构差异。结果表明：① 山地土地覆被分布具有明确的垂直地带性结构特征,喜马拉雅中部土地覆被垂直带谱为南六北四式,土地覆被垂直带谱中具有人类活动的特点。② 南北坡之间的土地覆被垂直带谱差异明显,南坡土地覆被类型完整多样,北坡相对简单;对同类型土地覆被而言,南坡较北坡分布高程低、幅度宽。③ 依据各类型分布面积比随海拔变化情况,土地覆被类型在南北坡上的垂直分布可分为4种模式：冰川雪被、稀疏植被和草地为单峰分布型,裸地为南单峰北双峰分布型。④ 3种划分方法中,南坡的土地覆被垂直带结构具有相似性,而北坡的土地覆被垂直带结构存在差异,扇区法较好地反映了土地覆被自然分布格局。  相似文献   

内蒙古鄂伦春旗东部主要农耕区土壤有机碳含量及主要影响因素分析     

贺鹏飞  魏明辉  李秋燕  张哲寰  许江 《地质与资源》2020,29(6):574-578

利用鄂伦春自治旗东部主要耕地区1：25万土地质量地球化学调查数据，查明了研究区内表层和深层土壤有机碳储量和有机碳密度分布特征，分析了研究区内土壤有机碳储量、有机碳密度与土壤类型、土地利用方式之间的关系，探讨了土壤类型和土地利用方式对土壤有机碳的作用机理.结果表明研究区内土壤有机碳含量分布不均，土壤类型和土地利用方式是土壤有机碳储量和有机碳密度的主要影响因素.  相似文献   

A model for integrated spatial land use characteristics linking to surface nutrient concentration   总被引：1，自引：0，他引：1  

Erqi Xu 《International Journal of Digital Earth》2018,11(10):1064-1084

Quantifying land use heterogeneity helps better understand how it influences biophysical systems. Land use area proportions have been used conventionally to predict water quality variables. Lacking an insight into the combined effect of various spatial characteristics could lead to the statistical bias and confused understanding in previous studies. In this study, using spatial techniques and mathematical models, a diagnostic model was developed and applied for quantifying and incorporating three spatial components, namely, slope, distance to sampling spots, and arrangement. The upper catchment of Miyun Reservoir was studied as the test area. Total nitrogen, total phosphorus, and chemical oxygen demand of water samples from field measurements were used to characterize the surface water quality in 52 sub-watersheds. Using parameter calibrations and determinations, combined spatial characteristics were explored and detected. Adjusted land use proportions were calculated by spatial weights of discriminating the relative contribution of each location to water quality and used to build the integrated models. Compared with traditional methods only using area proportions, our model increased the explanatory power of land use and quantified the effects of spatial information on water quality. This can guide the optimization of land use configuration to control water eutrophication.  相似文献   

藏北高原地区地表辐射出支和能量平衡的季节变化   总被引：15，自引：5，他引：10  

马伟强  马耀明  李茂善  Z.   《冰川冻土》2005,27(5):673-679

对青藏高原地区地表能量的研究是一个十分重要的问题.基于中日合作项目"全球协调加强观测计划之亚澳季风青藏高原试验"(CAMP/Tibet)在2001年8月至2002年9月的观测数据资料,分析研究了青藏高原藏北地区地表能量,即净辐射通量、感热通量、潜热通量和土壤热通量等的变化规律,获得了有关藏北高原地表能量的新认识.  相似文献   

Soil salinity and vegetation cover change detection from multi-temporal remotely sensed imagery in Al Hassa Oasis in Saudi Arabia     

Amal Allbed  Lalit Kumar  Priyakant Sinha 《国际地球制图》2018,33(8):830-846

Detecting soil salinity changes and its impact on vegetation cover are necessary to understand the relationships between these changes in vegetation cover. This study aims to determine the changes in soil salinity and vegetation cover in Al Hassa Oasis over the past 28 years and investigates whether the salinity change causing the change in vegetation cover. Landsat time series data of years 1985, 2000 and 2013 were used to generate Normalized Difference Vegetation Index (NDVI) and Soil Salinity Index (SI) images, which were then used in image differencing to identify vegetation and salinity change/no-change for two periods. Soil salinity during 2000–2013 exhibits much higher increase compared to 1985–2000, while the vegetation cover declined to 6.31% for the same period. Additionally, highly significant (p < 0.0001) negative relationships found between the NDVI and SI differencing images, confirmed the potential long-term linkage between the changes in soil salinity and vegetation cover.  相似文献   

Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules   总被引：2，自引：0，他引：2  

Yongjiu Feng  Xiaohua Tong 《地理信息系统科学与遥感》2018,55(5):678-698

The dynamic relationships between land use change and its driving forces vary spatially and can be identified by geographically weighted regression (GWR). We present a novel cellular automata (GWR-CA) model that incorporates GWR-derived spatially varying relationships to simulate land use change. Our GWR-CA model is characterized by spatially nonstationary transition rules that fully address local interactions in land use change. More importantly, each driving factor in our GWR model contains effects that both promote and resist land use change. We applied GWR-CA to simulate rapid land use change in Suzhou City on the Yangtze River Delta from 2000 to 2015. The GWR coefficients were visualized to highlight their spatial patterns and local variation, which are closely associated with their effects on land use change. The transition rules indicate low land conversion potential in the city’s center and outer suburbs, but higher land conversion potential in the inner near suburbs along the belt expressway. Residual statistics show that GWR fits the input data better than logistic regression (LR). Compared with an LR-based CA model, GWR-CA improves overall accuracy by 4.1% and captures 5.5% more urban growth, suggesting that GWR-CA may be superior in modeling land use change. Our results demonstrate that the GWR-CA model is effective in capturing spatially varying land transition rules to produce more realistic results, and is suitable for simulating land use change and urban expansion in rapidly urbanizing regions.  相似文献   

不同天气现象下毕节高温特征及预报回归检验分析          下载免费PDF全文

吴姗  姚浪  刘健平  帅龙  聂祥 《中低纬山地气象》2022,46(1):68-72

利用毕节2010-2019年观测资料,分析不同天气现象下日最高气温特征,建立高温模型,并对近5 a 24 h高温进行检验,得出如下结论:(1)毕节高温日变化在夏季最稳定,春季波动最大。气温日较差晴天最大,阴天最小,多云时略大于阴间多云。(2)毕节8~10成云出现频率高达65.7%,夏季晴天频率波动大,春、夏季多云频率较高,且按天气现象分类统计月平均高温时,其峰值均出现在7月。(3) 24 h高温预报准确率月、季变化特征明显,夏季准确率最高,较最低的冬季高出21.4%,在区别天气现象的情况下,阴雨天时预报准确率最高,多云时最低,其中12月多云时最低为25%。(4)回归模型分析发现不同季节同种天气现象24 h高温预报影响因子权重差异明显,日照时数和平均本站气压对模型影响程度较高。不同季节晴天影响因子差异最大,拟合效果最好时段在夏季,平均估计误差为1.2℃,估计误差最大在冬季,平均估计误差为1.7℃。  相似文献   

The Impact of Tibetan Plateau Snow Cover on the Summer Temperature in Central Asia     

Xuke LIU  Xiaojing JIA  Min WANG  Qifeng QIAN 《大气科学进展》2022,39(7):1103-1114

The current work examines the impact of the snow cover extent (SCE) of the Tibetan Plateau (TP) on the interannual variation in the summer (June?July?August) surface air temperature (SAT) over Central Asia (CA) (SAT_CA) during the 1979?2019 period. The leading mode of the summer SAT_CA features a same-sign temperature anomalies in CA and explains 62% of the total variance in SAT_CA. The atmospheric circulation associated with a warming SAT_CA is characterized by a pronounced high-pressure system dominating CA. The high-pressure system is accompanied by warm advection as well as descending motion over CA, favoring the warming of the SAT_CA. Analysis shows that the interannual variation in the summer SAT_CA is significantly positively correlated with the April SCE over the central-eastern TP. In April, higher than normal SCE over the central-eastern TP has a pronounced cooling effect on the column of the atmosphere above the TP and can persist until the following early summer. Negative and positive height anomalies appear above and to the west of the TP. In the following months, the perturbation forcing generated by the TP SCE anomalies lies near the western center of the Asian subtropical westerly jet (SWJ), which promotes atmospheric waves in the zonal direction guided by the Asian SWJ. Associated with this atmospheric wave, in the following summer, a significant high-pressure system dominates CA, which is a favorable condition for a warm summer SAT_CA.  相似文献   

积雪升华过程对高寒湿地陆气相互作用的影响     

张海宏  苏永玲  姜海梅  晁红艳  苏文将 《冰川冻土》2018,40(6):1223-1230

利用青海玉树隆宝地区2014年12月积雪升华过程的观测资料,分析了积雪升华过程中高寒湿地陆气相互作用特征及积雪深度对陆气相互作用的影响。结果表明：在降雪和积雪升华过程中,高寒湿地浅层土壤温度在短时期内有所升高,而深层土壤温度和土壤体积含水量对降雪过程的响应不敏感。积雪升华过程中净辐射、感热通量和潜热通量的日平均值增加,向上短波辐射的日平均值减少。积雪逐渐升华导致地表吸收的能量增加,同时地表向大气传递的能量也随之增加。随着积雪的逐步升华,感热占比和潜热占比逐渐升高,而土壤热通量占比和热储存占比逐渐降低。积雪深度增加会导致地表反照率和地表比辐射率增大,感热输送系数减小。  相似文献   

FY-3 A/MERS I积雪制图中NDS I指标建立及积雪判识模型研究 ——以祁连山区为例     

韩涛  王大为  李丽丽 《冰川冻土》2018,40(3):511-527

我国新型自主的极轨气象卫星风云3号A星（简称FY-3A）上搭载的中分辨率光谱成像仪（MERSI）为大面积雪监测提供了新的遥感数据源。以中国西北祁连山区为例,分析FY-3A/MERSI传感器积雪与其它地物的图谱特征差异,建立了适用于FY-3A/MERSI的归一化差分积雪指数（NDSI）,以此为基础,构建了综合利用多光谱判别指标及土地覆盖类型（LULC）定类辅助的积雪判识模型,生成250 m分辨率的日积雪制图产品。模型通过逐步逼近的树状判别结构,去除了易和积雪混淆的部分乔木林、云、云阴影、水体、湖冰、沙（盐）地等地物,并提出应考虑积雪下覆地表特性的影响,调整设定不同LULC类型的积雪判别阈值约束,实时结合区域LULC影像进行积雪的最终判定与优化。对祁连山区2010-2011年积雪季FY-3A/MERSI影像的积雪制图应用结果表明,该资料能够客观精细地反映积雪的空间分布与动态发展过程。同时利用气象台站积雪观测记录及Terra/MODIS积雪判识结果进行对比验证,结果表明基于FY-3A/MERSI建立的积雪判识模型具有较高的精度和稳定性,特别是提高了云雪区分的效能。  相似文献