1960-2018年中国西南地区旱涝急转的时空变化特征

基于 1960—2018 年的逐日降水观测数据,采用日尺度旱涝急转指数（DWAAI）计算方法,以生态地理区为框架,识别并分析了西南地区旱涝急转事件的时空变化特征。结果表明：西南地区旱涝急转事件的发生次数在 1960—2010年有增加趋势,在 2011—2018 年快速减少;旱转涝事件多发生在春夏季（4~8 月）,涝转旱事件则跨越了春、夏、秋季（5~11 月）;在云南高原常绿阔叶林、松林区（VA5）,西双版纳山地季雨林、雨林区（VIIA3）,闽粤桂低山平原常绿阔叶林、人工植被区（VIA2）,旱涝急转事件主要发生在夏季,而在湘黔高原山地常绿阔叶林区（VA3）和四川盆地常绿阔叶林、人工植被区（VA4）,旱涝急转事件主要发生在春季;旱涝急转事件发生次数的空间分布呈现东北多、西南少的格局;2000 年以来旱涝急转事件在滇中南亚高山谷地常绿阔叶林、松林区（VIA3）和闽粤桂低山平原常绿阔叶林、人工植被区（VIA2）发生次数减少,但有加重趋势,呈现极端化特征。     

Geomorphologic Study of Anhui Section of Changjiang River Using Landsat TM Image

Fluvial landforms in the Anhui section of the Changjiang(Yangtze)River are often considered as the main factors for frequent floods.It is these special landforms that influence the channel changes of the Changjiang River.Using Landsat TM image of 2000,this paper conducted a series of image processing,including principal component analysis,multi-spectral composition,gray value statistics,and spectral analysis of ground objects.Then it got a new interpretation map of different kinds of fluvial landforms of the Changjiang River in the Anhui section.Based on the interpretation mentioned above,the paper analyzes the distribution and characteristics of such typical landforms as terraces,floodplains and battures,and their functions on the changes of river channel.The results show a consistence with the earlier conclusion that the Anhui section of the Changjiang River tends to deflect gradually toward south,which provides more implications for further study on the geomorphologic evolution of the river channel.     

中国重点旅游城市气候舒适度及其变化趋势

基于地面气象观测资料和通用热气候指数,研究中国12个重点旅游城市的气候舒适度及其1960-2013年间的变化趋势。结果显示：① 依据气候舒适度年内分布特征,所有城市可分为5种类型,即春、秋适型,春、秋、冬适型,春、夏、秋适型,冬适型和全年不适型。② 1960-2013年,年均通用热气候指数基本均显著增加;哈尔滨、大连增幅最大,分别达1.73 ^oC/10a、1.44 ^oC/10a。月均通用热气候指数也一致增加,且增幅冬季大、夏季小。③ 从年尺度看,各城市“冷不舒适”频率降低,“热不舒适”频率增加。哈尔滨、乌鲁木齐、北京、拉萨、西安、上海、三亚年“舒适”频率增加,尤其拉萨增幅高达8.9 d/10a;呼和浩特、大连、昆明、重庆、广州年“舒适”频率降低。④ 从月尺度看,6-9月的“舒适”频率整体降低;11-2月的“舒适”频率整体增加;3-5月及10月表现为纬度或海拔较高城市的“舒适”频率增加,其余城市降低。     

基于MODIS数据新疆土壤干旱特征分析

干旱是一种常见的自然灾害,严重影响着新疆的农业生产。利用中分辨率成像光谱仪MODIS影像MOD11A2数据和MOD13A2数据,数字高程模型(DEM)对Ts进行了纠正,提取归一化植被指数(NDVI)和地表温度(Ts)构建NDVI-Ts特征空间,并依据特征空间计算的温度植被干旱指数(TVDI)作为监测土壤湿度指标,反演了新疆2013年5、6、7三个月每16 d的土壤湿度。较好地反映地表图层土壤湿度,分析了新疆土壤湿度的时空分布特征,新疆北部地区土壤湿度高于南部,西部的土壤湿度高于东部,且土壤湿度由西北向东南逐步减小,依次表现为湿润>正常>轻旱>中旱>重旱>极旱;由5月到7月土壤湿度不断增大,这与新疆降水量分布和实地土壤含水率十分吻合,监测结果可信,能够为决策部门防旱抗旱提供有力的信息支持。     

吉林省主要产粮区NDVI时空变化特征

为了确定作物长势遥感监测的评价指标,利用2000—2012年吉林省EOS/MODIS数据,采用NDVI旬最大值法,结合吉林省主要农作物生长发育的特点,对主要产粮区作物生长季旱田和水田的NDVI时空变化规律进行研究,并分析其与气温和降水的关系。结果表明:2000—2012年吉林省作物生长季农作物的NDVI随作物生长发育进程有明显的变化,水田和旱田两种作物的NDVI时间变化均呈单峰型;吉林省不同区域的NDVI变化趋势一致,5月上旬至6月上旬,NDVI呈缓慢增加的趋势;6月中旬至7月上旬,NDVI迅速增加;7月中旬至8月上旬,NDVI增加缓慢;8月中旬开始,NDVI开始下降。6月中旬开始,吉林省中部地区旱田NDVI明显高于西部地区,NDVI增长速率中部地区大于西部地区,达到峰值的时间中部地区也早于西部地区。吉林省水田NDVI变化中西部地区差异较小,均在8月上旬达到峰值,植被指数时间变化与吉林省作物生长发育进程相吻合。吉林省中西部地区作物的NDVI与气温和降水均呈正相关,气温和降水对NDVI的影响有明显滞后效应,且气温的影响大于降水。     

中国区域干旱的持续性特征研究

利用1961-2012年中国区域586个气象站的降水、气温、日照时数、相对湿度、风速等资料计算了逐月K干旱指数, 在此基础上, 对全国16个区的干旱持续性特征进行了研究. 结果表明: 华北、河套、西北地区东部、西南地区北部、黄淮及新疆南部地区干旱的持续性较强, 常发生3个月以上的长期干旱过程, 并且容易在旱情解除后的短期内(1个月)再次出现干旱; 而南方、东北和新疆北部地区干旱的持续性较弱, 以1个月的短期干旱为主, 且干旱过程之间的时间间隔相对较长, 大多为3个月以上; 华北、河套、西北地区东部、西南地区北部和南部、以及华南地区的干旱过程在冬、秋季开始的频次最高, 且大部分在春季结束, 而冬、春两季的干旱明显比夏、秋两季偏多. 100°E以西(新疆北部除外)的广大地区干旱过程的开始时间主要集中在秋季, 结束时间集中在春、冬两季; 同时, 冬季和秋季干旱多发, 其次是春季, 夏季出现的干旱频次最少.     

湖南省极端降水过程客观监测指标

利用1981-2010年湖南省97个地面气象观测站降水观测资料,基于二阶求导和尖顶突变模型等方法,分别对短历时降水序列和过程降水序列进行时间突变分析。结果表明：不同时间的最大小时累积降水量在时间上的突变点分别为12.0 h、6.1 h;过程降水持续时间突变点分别为10.0 d、4.4 d,不同持续时间最大降水量占过程总降水量的百分比及最大降水量在时间序列上的突变点分别为10.0 d、4.6 d和10.0 d、4.9d。建立的湖南省极端降水过程客观监测指标为：连续1-6 h、12 h最大降水量,连续1-5 d、10 d最大降水量和过程累积降水量及降水持续时间。指标的适用性通过与农作物因洪涝灾害的受灾率、成灾率及单位面积粮食减产量的相关分析验证。     

典型沙漠绿洲城市表土磁性特征及环境指示意义

选取典型沙漠绿洲城市（乌海、石嘴山、银川）表土为研究对象,对其环境磁学性质、土壤质地与重金属含量分布进行系统研究.结果表明,乌海市和石嘴山市表土为典型砂土,银川市为砂壤土.三个城市表土样品均以较粗的MD-PSD颗粒的亚铁磁性矿物（磁铁矿）为主导,磁化率均值分别为152×10^-8、104×10^-8和117×10^-8 m³·kg^-1.乌海市表土磁性矿物含量和磁性颗粒大小都显著高于石嘴山和银川市.重金属（Cr、Cu、Pb、Zn、Fe）的污染负荷指数（PLI）均显示,三个城市表土均存在轻度污染特征.同时磁化率和污染负荷指数在非工业区表现出点状高值分布,在工业区表现为面状高值分布特征.乌海市表土磁参数与重金属的相关系数显著高于石嘴山和银川,表明磁参数对于污染来源单一地区的污染程度评估更具优势.尽管三个城市表土磁学性质存在较大差异,但其磁化率均随污染负荷指数的增加呈现相同程度的递增.磁化率可以作为宁夏平原地区表土重金属污染程度评估的统一有效的代用指标.     

Multilevel assessment of spatiotemporal variability of vegetation in subtropical mountain-hill region

The complex spatiotemporal vegetation variability in the subtropical mountain-hill region was investigated through a multi-level modeling framework. Three levels - parcel, landscape, and river basin levels- were selected to discover the complex spatiotemporal vegetation variability induced by climatic, geomorphic and anthropogenic processes at different levels. The wavelet transform method was adopted to construct the annual maximum Enhanced Vegetation Index and the amplitude of the annual phenological cycle based on the 16-day time series of a5om Moderate Resolution Imaging Spectroradiometer Enhanced Vegetation Index datasets during 2OOl-2OlO. Results revealed that land use strongly influenced the overall vegetation greenness and magnitude of phenological cycles. Topographic variables also contributed considerably to the models, reflecting the positive influence from altitude and slope. Additionally, climate factors played an important role： precipitation had a considerable positive association with the vegetation greenness, whereas the temperature difference had strong positive influence on the magnitude of vegetation phenology. The multilevel approach leads to a better understanding of the complex interaction of the hierarchical ecosystem, human activities and climate change.     

Inversion of potential field data using the structural index as weighting function rate decay

Nonparametric inverse methods provide a general framework for solving potential‐field problems. The use of weighted norms leads to a general regularization problem of Tikhonov form. We present an alternative procedure to estimate the source susceptibility distribution from potential field measurements exploiting inversion methods by means of a flexible depth‐weighting function in the Tikhonov formulation. Our approach improves the formulation proposed by Li and Oldenburg (1996, 1998) , differing significantly in the definition of the depth‐weighting function. In our formalism the depth weighting function is associated not to the field decay of a single block (which can be representative of just a part of the source) but to the field decay of the whole source, thus implying that the data inversion is independent on the cell shape. So, in our procedure, the depth‐weighting function is not given with a fixed exponent but with the structural index N of the source as the exponent. Differently than previous methods, our choice gives a substantial objectivity to the form of the depth‐weighting function and to the consequent solutions. The allowed values for the exponent of the depth‐weighting function depend on the range of N for sources: 0 ≤N≤ 3 (magnetic case). The analysis regarding the cases of simple sources such as dipoles, dipole lines, dykes or contacts, validate our hypothesis. The study of a complex synthetic case also proves that the depth‐weighting decay cannot be necessarily assumed as equal to 3. Moreover it should not be kept constant for multi‐source models but should instead depend on the structural indices of the different sources. In this way we are able to successfully invert the magnetic data of the Vulture area, Southern Italy. An original aspect of the proposed inversion scheme is that it brings an explicit link between two widely used types of interpretation methods, namely those assuming homogeneous fields, such as Euler deconvolution or depth from extreme points transformation and the inversion under the Tikhonov‐form including a depth‐weighting function. The availability of further constraints, from drillings or known geology, will definitely improve the quality of the solution.