Estimation of regional evapotranspiration in alpine area and its response to land use change: A case study in Three-River Headwaters region of Qinghai-Tibet Plateau, China

Three-River Headwaters(TRH) region involved in this paper refers to the source region of the Changjiang(Yangtze) River,the Huanghe(Yellow) River and the Lancang River in China.Taking the TRH region of the Qinghai-Tibet Plateau as a case,the annual evapotranspiration(ET) model developed by Zhang et al.(2001) was applied to evaluate mean annual ET in the alpine area,and the response of annual ET to land use change was analyzed.The plant-available water coefficient(w) of Zhang’s model was revised by using vegetation-temperature condition index(VTCI) before annual ET was calculated in alpine area.The future land use scenario,an input of ET model,was spatially simulated by using the conversion of land use and its effects at small regional extent(CLUE-S) to study the response of ET to land use change.Results show that the relative errors between the simulated ET and that calculated by using water balance equation were 3.81% and the index of agreement was 0.69.This indicates that Zhang’s ET model based on revised plant-available water coefficient is a scientific and practical tool to estimate the annual ET in the alpine area.The annual ET in 2000 in the study area was 221.2 mm,11.6 mm more than that in 1980.Average annual ET decreased from southeast to northwest,but the change of annual ET between 1980 and 2000 increased from southeast to northwest.As a vast and sparsely populated area,the population in the TRH region was extremely unbalanced and land use change was concentrated in very small regions.Thus,land use change had little effect on total annual ET in the study area but a great impact on its spatial distribution,and the effect of land use change on ET decreased with increasing precipitation.ET was most sensitive to the interconversion between forest and unused land,and was least sensitive to the interconversion between cropland and low-covered grassland.     

Agriculture development-induced surface albedo changes and climatic implications across northeastern China

To improve the understandings on regional climatic effects of past human-induced land cover changes,the surface albedo changes caused by conversions from natural vegetation to cropland were estimated across northeastern China over the last 300 years,and its climatic effects were simulated by using the Weather Research and Forecasting (WRF) model.Essential natural vegetation records compiled from historical documents and regional optimal surface albedo dataset were used.The results show that the surface albedo decreased by 0.01-0.03 due to conversions from grassland to cropland in the Northeast China Plain and it increased by 0.005-0.015 due to conversions from forests to cropland in the surrounding mountains.As a consequence,in the Northeast China Plain,the surface net radiation increased by 4-8 W/m 2,2-5 W/m 2,and 1-3 W/m 2,and the climate was therefore warmed by 0.1℃-0.2℃、0.1℃-0.2℃、 0.1℃-0.3 ℃ in the spring,autumn and winter,respectively.In the surrounding mountain area,the net radiation decreased by less than 1.5 W/m 2,and the climate was therefore cooled too slight to be detected.In summer,effects of surface albedo changes on climate were closely associated with moisture dynamics,such as evapotranspiration and cloud,instead of being merely determined by surface radiation budget.The simulated summer climatic effects have large uncertainties.These findings demonstrate that surface albedo changes resulted in warming climate effects in the non-rainy seasons in Northeast China Plain through surface radiation processes while the climatic effects in summer could hardly be concluded so far.     

冬季北极涛动与行星波活动的关系

为了进一步认识北极涛动与行星波之间的关系,利用NCEP/NCAR再分析资料并借助谐波分析、相关分析等方法讨论了北极涛动异常下行星波的活动情况。结果表明:在北极涛动指数强(弱)值年,纬向平均风场在中纬度明显减小(增大),在中高纬度明显增大(减小);行星波1波振幅在低纬度对流层中层和中纬度平流层明显增大(减小),在高纬度平流层明显减小(增大);2波振幅在中纬度对流层明显减小(增大),在高纬度平流层有所增大(减小)。E-P通量反映出在北极涛动强(弱)值年,行星波1波在中高纬度从地面向上传播显著增强(减弱),低纬度波导显著增强(减弱),极地波导显著减弱(增强);2波在中高纬度从地面向上传播显著减弱(增强),低纬度波导和极地波导变化不明显。     

福建永安雷暴气候特征分析

通过统计福建省永安市1958—2007年逐日雷暴观测资料,找出雷暴发生时空分布、年际、月际和日变化特征。结果表明：永安市雷暴日50年平均68．12日,年际变化呈波动减少趋势,3—9月是雷暴发生的高发期,占全年雷暴的95．3％,月际雷暴发生次数呈单峰型特征,峰值出现在8月,16—17时是一天中发生雷暴的最高期,西南方向发生的雷暴略多于其它方向。     

ENVIRONMENTAL CHANGES SINCE LATE PLEISTOCENE IN ESTUARINE PLAIN OF JIULONG RIVER, FUJIAN PROVINCE

TheestuarineplainoftheJiulongRiver,whichisthesecondlargestrivernexttotheMinjiangRiverinFujianPrc)vince,intervenesbetweenXi~enandZhangzhoucitiesinthesouthoftheprovince.'I'heplainconsistsofthreeparts:thenorthernplain,thesouthernPlainandZiniIsles.Withsoutllcrn--Subtr<)picoceanicm(>nasexinclimate,itdevelol>saregionalvegetationtypeofeveTgreen13r(Jad--lcav(3dfores[,ofwhicll,however,mosthasbeendestroyedbyhumanbeing.Nowaday-s.shruborgrasslandvegetationcanbeseenonthehillsintheviciTlily'ofthisarea…     

东平-汶上铁成矿带西侧低缓磁异常区找矿前景分析

梁山东丁庄铁矿位于东平-汶上铁成矿带西侧的低缓磁异常区,为区内新发现的沉积变质型铁矿床。通过1∶1万高精度磁法面积测量工作,在区内圈定3个磁异常,并进行钻探验证,证实其中2个为隐伏磁铁矿体引起,矿体赋存于泰山岩群山草峪组中。通过研究矿体的地质特征、磁异常特征,并与区域铁矿成矿条件对比分析,认为区内矿致磁异常特征一般表现为在数十纳特的平缓背景场基础上,突然升高至数百纳特的相对高值异常,具突变特征。该类异常一般呈NW走向,与东平-汶上铁成矿带走向基本一致,其形态一般呈规则的长条带状、椭圆状或串珠状。区域上存在较多与研究区具有相似特征的低缓磁异常,且具备有利的成矿地层条件,因此认为区域上低缓磁异常区具有较大的找矿潜力,找矿前景良好。     

山东省平邑归来庄金矿深部矿床特征及成矿规律研究

山东平邑归来庄金矿深部矿床,受近EW向归来庄F_1断裂和中生代隐爆角砾岩体共同控制,赋存于Ⅰ号构造蚀变带内,属"中低温热液隐爆角砾岩型"。通过对矿床地质特征、矿体特征、矿石质量、矿石类型、围岩蚀变、找矿标志及矿床成因等方面的研究,总结了该区基本成矿规律:归来庄F_1断裂为一经历多次活动的构造隐爆角砾岩蚀变带,既控矿又赋矿,矿体的展布、金的富集与隐爆角砾岩体关系密切;矿体总体向南西侧伏,具有侧伏向延伸大于倾向延长的特点,侧伏向深部仍可能再次出现富集带,具有良好的找矿前景和一定的资源潜力。     

山东海阳周格庄多金属矿化带地质特征及找矿标志

周格庄多金属矿化带位于山东海阳周格庄东部,区内中生代地层广泛分布,中生代岩浆岩活动频繁,构造活动强烈、破碎带发育.激电异常明显且低阻高激化特征,多金属矿化期为岩浆期后热液阶段.岩体边部和外侧的断裂破碎带为成矿热液运移、储存提供了有利空间,是寻找多金属矿的有利部位.     

20世纪90年代中国东西部土地利用变化时空特征分析

在覆盖全国的1km栅格土地利用本底与动态成分数据时空信息平台支持下,应用土地利用动态度模型,分别计算了全国及东西部地区土地利用一级类型的单一和综合动态度,并分析了土地利用动态度的空间格局。通过分析东西部土地利用类型变化特征和土地利用类型转换特征,对20世纪90年代中国东西部土地利用变化过程的时空特征进行了全面分析,揭示了东西部地区土地利用变化的时空规律。并对主要土地利用类型变化的原因进行了分析。     

基于超像元词包特征和主动学习的高分遥感影像变化检测

为解决高分辨率遥感影像变化检测中存在底层特征缺乏语义信息、像元级的检测结果存在“椒盐”现象以及监督分类中样本标注自动化程度较低,本文提出一种基于超像元词包特征和主动学习的变化检测方法。首先采用熵率分割算法获取叠加影像的超像元对象;其次提取两期影像像元点对间的邻近相关影像特征（相关度、斜率和截距）和顾及邻域的纹理变化强度特征（均值、方差、同质性和相异性）,经线性组合作为像元点对的底层特征;然后基于像元点对底层特征利用BOW模型构建超像元词包特征,并采用一种改进标注策略的主动学习方法从无标记样本池中优选信息量较大的样本,且自动标注样本类别;最后训练分类器模型完成变化检测。通过选用2组不同地区的GF-2影像和Worldview-Ⅱ影像作为数据源进行实验,实验结果中2组数据集的F1分数分别为0.8714、0.8554,正确率分别为0.9148、0.9022,漏检率分别为0.1681、0.1868,误检率分别为0.0852、0.0978。结果表明,该法能有效识别变化区域、提高变化检测精度。此外,传统主动学习方法与改进标注策略的主动学习方法的学习曲线对比显示,改进的标注策略可在较低精度损失下,有效提高样本标注自动化程度。