近50年中国地面气候变化基本特征   总被引：403，自引：14，他引：403  

任国玉  郭军  徐铭志  初子莹  张莉  邹旭凯  李庆祥  刘小宁 《气象学报》2005,63(6):942-956

采用国家基准气候站和基本气象站的地面资料,系统地分析了中国大陆地区1951年以来近地表主要气候要素演化的时间和空间特征。结果表明,中国近50 a来年平均地表气温变暖幅度约为1.1℃,增温速率接近0.22℃/(10 a),比全球或半球同期平均增温速率明显偏高。地表气温增暖主要发生在最近的20余年,其季节和空间特征与前人分析结论基本一致。降水量变化趋势对所取时间段和区域范围敏感。1951年以来全国平均降水量变化趋势不明显,但1956年以来略有增加。降水变化的空间特征明显而相对稳定,东北北部、包括长江中下游的东南部地区和西部广大地区降水增加,而华北地区以及东北东南部和西北东部地区降水明显减少。分析还发现,近50a来全国平均的日照时数、平均风速、水面蒸发等气候要素均呈显著下降趋势,但积雪地带的最大积雪深度却有所增加。中国日照时间和水面蒸发量变化的空间特征很相似,减少最明显的地区均发生在华北和华东,新疆次之。影响中国年代以上尺度气候变化的因子错综复杂,人类活动引起的大气中温室气体浓度增高可能在一定程度上影响了中国近50 a来的气候,但考虑到尚存的不确定性,目前仍不能给出明确结论。中国东部大部分地区日照时间和水面蒸发量减少可能均起源于人为排放的气溶胶影响,平均风速减弱也有利于水面蒸发量下降,而在西部地区云量和降水量的变化可能更重要。  相似文献   

Analysis of the environmental sensitivities of a typical dynamic epikarst system at the Nongla monitoring site, Guangxi, China   总被引：6，自引：0，他引：6  

Zhang Cheng  Yuan Daoxian  Cao Jianhua 《Environmental Geology》2005,47(5):615-619

Nongla, a typical karst dynamic system (KDS) monitoring site, is located at Nongla Village, Mashan County, Guangxi, China. The data from a Greenspan CTDP300 multichannel data logger indicates that the KDS is highly sensitive to environmental changes. Multi-day and diurnal physico-chemical composition of epikarst spring water is quite different under different climatic conditions. During a day with no rainfall, water temperature and air temperature have similar variations. Electrical conductivity (EC) has good positive correlation with pH value and water temperature. During rainstorms, the physico-chemical composition of the spring water is initially strongly effected by dilution, pH and EC drop rapidly. However, half to one hour later, EC returns to normal and the CO₂ effects will be the dominant physical effect. This is due to the high fissure rates and high permeability in the epikarst zone. Dilution effects were observed during the entire rainstorm event,whereas, it only acts during the earliest period of light rain. Therefore, it is necessary to examine the water–rock–CO₂ combination as a whole system to explain the hydrochemical behavior of epikarst processes.  相似文献   

A nonstationary extreme value distribution for analysing the cessation of karst spring discharge          下载免费PDF全文

Yan Liu  Yonghong Hao  Yonghui Fan  Tongke Wang  Xueli Huo  Youcun Liu  Tian‐Chyi J. Yeh 《水文研究》2014,28(20):5251-5258

The effects of climate change and population growth in recent decades are leading us to consider their combined and potentially extreme consequences, particularly regarding hydrological processes, which can be modeled using a generalized extreme value (GEV) distribution. Most of the GEV models were based on a stationary assumption for hydrological processes, in contrast to the nonstationary reality due to climate change and human activities. In this paper, we present the nonstationary generalized extreme value (NSGEV) distribution and use it to investigate the risk of Niangziguan Springs discharge decreasing to zero. Rather than assuming the location, scale, and shape parameters to be constant as one might do for a stationary GEV distribution analysis, the NSGEV approach can reflect the dynamic processes by defining the GEV parameters as functions of time. Because most of the GEV model is designed to evaluate maxima (e.g. flooding, represented by positive numbers), and spring discharge cessation is a ?minima’, we deduced an NSGEV model for minima by applying opposite numbers, i.e. negative instead of positive numbers. The results of the model application to Niangziguan Springs showed that the probability of zero discharge at Niangziguan Springs will be 1/80 in 2025, and 1/10 in 2030. After 2025, the rate of decrease in spring discharge will accelerate, and the probability that Niangziguan Springs will cease flowing will dramatically increase. The NSGEV model is a robust method for analysing karst spring discharge. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   

Piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events on the Loess Plateau,China          下载免费PDF全文

Yu Guo‐Qiang  Zhang Mao‐Sheng  Li Zhan‐Bin  Li Peng  Zhang Xia  Cheng Sheng‐Dong 《水文研究》2014,28(21):5322-5336

Establishing a universal watershed‐scale erosion and sediment yield prediction model represents a frontier field in erosion and soil/water conservation. The research presented here was conducted on the Chabagou watershed, which is located in the first sub‐region of the hill‐gully area of the Loess Plateau, China. A back‐propagation artificial neural model for watershed‐scale erosion and sediment yield was established, with the accuracy of the model, then compared with that of multiple linear regression. The sensitivity degree of various factors to erosion and sediment yield was quantitatively analysed using the default factor test. On the basis of the sensitive factors and the fractal information dimension, the piecewise prediction model for erosion and sediment yield of individual rainfall events was established and further verified. The results revealed the back‐propagation artificial neural network model to perform better than the multiple linear regression model in terms of predicting the erosion modulus, with the former able to effectively characterize dynamic changes in sediment yield under comprehensive factor conditions. The sensitivity of runoff erosion power and runoff depth to the erosion and sediment yield associated with individual rainfall events was found to be related to the complexity of surface topography. The characteristics of such a hydrological response are thus closely related to topography. When the fractal information dimension is greater than the topographic threshold, the accuracy of prediction using runoff erosion power is higher than that of using runoff depth. In contrast, when the fractal information dimension is smaller than the topographic threshold, the accuracy of prediction using runoff depth is higher than that of using runoff erosion power. The developed piecewise prediction model for watershed‐scale erosion and sediment yield of individual rainfall events, which introduces runoff erosion power and runoff depth using the fractal information dimension as a boundary, can be considered feasible and reliable and has a high prediction accuracy. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   

基于最大发展潜力值的元胞自动机城市扩张模型     

张梦珂  刘艳芳  何青松 《测绘与空间地理信息》2016,(3):45-48

在城镇化发展水平及土地开发评价的基础上,评价待扩张区域土地转变潜力分值,基于最大转变潜力分值,提出一种有别于传统元胞自动机模拟城市扩张的新方法。该方法与传统元胞自动机模拟城市扩张相比在迭代方式上存在不同,它克服了传统元胞自动机因阈值设置不同而导致结果不确定的难题。分别将该方法与传统元胞自动机模型应用于武汉主城区,模拟了其2003年到2013年的城市扩张情况,最后,将模拟结果与实际土地利用现状图进行对比发现改进后的新方法在模拟精度上大大提高。  相似文献   

基于地性线分级的DEM信息量计算方法研究   总被引：1，自引：0，他引：1  

张萍  江文萍  邓晓龙  李伟 《测绘与空间地理信息》2016,(7)

主要对基于DEM提取的地性线进行信息量的定量分析,探讨地性线的信息量与分辨率、地形单元的关系。这个过程中首先利用河网的自相似理论研究与当前DEM所代表的地貌详细程度相适宜的地性线提取的阈值区间,并讨论此阈值下地性线的分级,以此为基础通过以该分级为权重进行DEM地形信息量的计算。实践证明,这种顾及地性线等级的DEM信息量计算方法能较准确地反映地性线的分布规律和不同等级的要素造成的信息量度量差异。  相似文献   

小波分析去噪在腰沙围垦变形监测中的应用     

许杭  王俊杰  高俊强 《测绘与空间地理信息》2016,(3):189-192

由于受到许多复杂因素影响,沉降监测过程中所得到的信号数据可能会含有噪声。Matlab中小波分析功能能够对信号数据中的噪声信号进行有效的分解,最后重构处理后的信号。通过实例对比,选用合适的去噪方法和去噪函数,对信号数据进行处理,最后能够得到更适合的最优估计。  相似文献   

青海省祁漫塔格地区1∶5万水系沉积物测量衬值异常圈定实例     

赵娟 《地质与勘探》2016,52(3):518-523

青海省祁漫塔格地区位于柴达木盆地西南缘,是青海省重要的铁多金属成矿基地之一。利用88442个野外采样点1∶5万水系沉积物测量数据,采用Geo Expl软件圈定了该地区的衬值异常。衬值是指各元素0.5 km×0.5 km网格化数据与其园域搜索半径5km、移动步长0.5km移动平均值的比值。选用自定义累频"90、95、98、100"确定了异常的外、中、内带。通过常规方法和衬值圈定的异常的对比,表明衬值异常能够削弱不同地质背景差异,使异常形态更为规整,浓集中心更为明显,并且可能发现新异常。  相似文献   

全球地面降水月值历史数据集研制   总被引：2，自引：0，他引：2  

杨溯  徐文慧  许艳  李庆祥 《气象学报》2016,74(2):259-270

全球降水历史数据是开展气候、水循环等研究的基础。收集整理全球12个数据源降水历史月值资料,通过站号、站名甄别不同数据源中相同台站,对344个通过相关系数、一致率、均值t检验、方差F检验的台站多源资料进行拼接,尽可能多地融合各套数据产品优势,最终形成全球降水历史月值数据集(CMA Global PrecipitationV1.0, CGP)。数据集重点解决当前国际数据产品在东亚地区站点稀少、同时应用多套数据应用门槛较高等问题。数据集收录3.1万个台站共计1.87×107组月降水记录, 4152个台站序列长度达百年。与美国大气海洋局(NOAA)的全球降水数据集(GHCN-M V2.0)对比,CGP新增1万个站点、0.5×107组有效观测记录和1030条百年序列,其中141条百年序列通过多源整合技术获取。CGP的站点和数据量优势主要体现在东亚、东欧、西伯利亚等站点稀疏地区。基于CGP分析的全球降水时空特征与国际同类产品的结果较一致。新增的数据虽然没有改变全球降水分布的总体特征,但对区域性的百年降水变化检测有一定影响。基于CGP的全球降水百年序列结果显示,20世纪前半叶全球降水量偏小,近20年是1900年以来全球降水量最大的时期,各纬度带、各个国家或地区的降水长期变化趋势呈现显著的差异。   相似文献   

四川地形谱特征及中尺度模式水平网格分辨率选取   总被引：1，自引：0，他引：1       下载免费PDF全文

黄永杰  崔晓鹏 《Acta Meteorologica Sinica》2016,74(1):114-126

四川地形复杂多样,暴雨频发,常诱发山洪、泥石流等灾害。在利用中尺度模式对复杂地形区域的暴雨进行研究时,模式水平分辨率的选取缺乏定量依据。为了揭示四川地形的复杂特征和给中尺度模式水平网格分辨率的选取提供定量依据,利用二维离散余弦变换,对四川地形高度场和暴雨分布场进行谱分解,根据暴雨分布特征分区讨论了四川盆地地形特征,同时利用地形谱方差和数值试验定量讨论了数值模式水平分辨率的选取问题,得到主要结论有:(1)二维离散余弦变换能较好地表现出研究区域各向异性的复杂特征;(2)雅安地区和四川盆地西北部的地形谱与降水谱有较好的同相关系,盆地东北部和盆地中部的地形谱与降水谱在波长较大处出现反相关系;(3)针对某个区域的地形特征,可以通过计算模式能分辨的地形方差与总地形方差的比值来确定合适的中尺度模式水平网格分辨率。  相似文献