Landscape response to tectonic and climatic forcing in the foredeep of the southern Apennines,Italy: insights from Quaternary stratigraphy,quantitative geomorphic analysis,and denudation rate proxies

We present new data about the morphological and stratigraphic evolution and the rates of fluvial denudation of the Tavoliere di Puglia plain, a low‐relief landscape representing the northernmost sector of the Pliocene‐Pleistocene foredeep of the southern Apennines. The study area is located between the easternmost part of the southern Apennine chain and the Gargano promontory and it is characterized by several orders of terraced fluvial deposits, disconformably overlying lower Pleistocene marine clay and organized in a staircase geometry, which recorded the emersion and the long‐term incision history of this sector since mid‐Pleistocene times. We used the spatial and altimetric distribution of several orders of middle to late Pleistocene fluvial terraces in order to perform paleotopographic reconstruction and GIS‐aided eroded volumes estimates. Then, we estimated denudation rates on the basis of the terraces chronostratigraphy, supported by published OSL and AAR dating. Middle to upper Pleistocene denudation rates estimated by means of such an approach are slightly lower than 0.1 mm yr^‐1, in good agreement with short‐term data from direct and indirect evaluation of suspended sediment yield. The analysis of longitudinal river profiles using the stream power erosion model provided additional information on the incision rates of the studied area. Middle to late Quaternary uplift rates (about 0.15 mm yr^‐1), calculated on the basis of the elevation above sea level of marine deposits outcropping in the easternmost sector of the study area, are quite similar to the erosion rates average value, thus suggesting a steady‐state fluvial incision. The approach adopted in this work has demonstrated that erosion rates traditionally obtained by quantitative geomorphic analysis and k_sn estimations can be successfully integrated to quantify rates of tectonic or geomorphological processes of a landscape approaching steady‐state equilibrium. Copyright © 2014 John Wiley & Sons, Ltd.     

Satellite monitoring of urbanization and environmental impacts—A comparison of Stockholm and Shanghai

This study investigates urbanization and its potential environmental consequences in Shanghai and Stockholm metropolitan areas over two decades. Changes in land use/land cover are estimated from support vector machine classifications of Landsat mosaics with grey-level co-occurrence matrix features. Landscape metrics are used to investigate changes in landscape composition and configuration and to draw preliminary conclusions about environmental impacts. Speed and magnitude of urbanization is calculated by urbanization indices and the resulting impacts on the environment are quantified by ecosystem services. Growth of urban areas and urban green spaces occurred at the expense of cropland in both regions. Alongside a decrease in natural land cover, urban areas increased by approximately 120% in Shanghai, nearly ten times as much as in Stockholm, where the most significant land cover change was a 12% urban expansion that mostly replaced agricultural areas. From the landscape metrics results, it appears that fragmentation in both study regions occurred mainly due to the growth of high density built-up areas in previously more natural/agricultural environments, while the expansion of low density built-up areas was for the most part in conjunction with pre-existing patches. Urban growth resulted in ecosystem service value losses of approximately 445 million US dollars in Shanghai, mostly due to the decrease in natural coastal wetlands while in Stockholm the value of ecosystem services changed very little. Total urban growth in Shanghai was 1768 km² and 100 km² in Stockholm. The developed methodology is considered a straight-forward low-cost globally applicable approach to quantitatively and qualitatively evaluate urban growth patterns that could help to address spatial, economic and ecological questions in urban and regional planning.     

高分辨率影像城市植被自动提取算法

近十几年来,随着城市化进程加剧,准确获取城市植被的分布信息,是城市气候和地表能量平衡研究的重要内容。高空间分辨率遥感影像数据,为精确获取和动态监测城市植被提供了重要资料。本研究利用资源三号数据对长江三角洲地区城市植被进行光谱特征分析与提取,提出一种城市植被的自动化信息提取算法—分离面法（Hyperplanes for Plant Extraction Methodology,HPEM）。结果表明：在假彩色反射率空间,植被与NDVI值低的背景有很好的分离性,而在真彩色反射率空间,植被与NDVI值高的背景有很好的分离性;HPEM能很好地避免NDVI最佳阈值法中将建筑物误分为植被的问题,其精度明显优于NDVI最佳阈值法,Kappa系数从0.85提高到0.90,总的错分与漏分误差从21.15%降低到14.18%。可见,本文的HPEM方法能有效提高城市植被信息自动提取的精度。     

Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation

The urban heat island (UHI) refers to the phenomenon of higher atmospheric and surface temperatures occurring in urban areas than in the surrounding rural areas. Mitigation of the UHI effects via the configuration of green spaces and sustainable design of urban environments has become an issue of increasing concern under changing climate. In this paper, the effects of the composition and configuration of green space on land surface temperatures (LST) were explored using landscape metrics including percentage of landscape (PLAND), edge density (ED) and patch density (PD). An oasis city of Aksu in Northwestern China was used as a case study. The metrics were calculated by moving window method based on a green space map derived from Landsat Thematic Mapper (TM) imagery, and LST data were retrieved from Landsat TM thermal band. A normalized mutual information measure was employed to investigate the relationship between LST and the spatial pattern of green space. The results showed that while the PLAND is the most important variable that elicits LST dynamics, spatial configuration of green space also has significant effect on LST. Though, the highest normalized mutual information measure was with the PLAND (0.71), it was found that the ED and PD combination is the most deterministic factors of LST than the unique effects of a single variable or the joint effects of PLAND and PD or PLAND and ED. Normalized mutual information measure estimations between LST and PLAND and ED, PLAND and PD and ED and PD were 0.7679, 0.7650 and 0.7832, respectively. A combination of the three factors PLAND, PD and ED explained much of the variance of LST with a normalized mutual information measure of 0.8694. Results from this study can expand our understanding of the relationship between LST and street trees and vegetation, and provide insights for sustainable urban planning and management under changing climate.     

自组织双重空间聚类算法的城市扩张结构分析应用

双重空间聚类是能顾及空间连续性和属性相似性的空间数据分析,而常规空间聚类算法难以同时顾及2方面的约束条件。本文采用自组织双重空间聚类算法,对城市扩张结构分析进行了研究。通过改造自组织特征映射的最佳匹配神经元搜索的算法机制,在空间域和属性域进行迭代聚类搜索,实现了自组织双重空间聚类。以武汉市扩张斑块的位置信息和扩张程度指数为输入数据,使用自组织双重空间聚类算法,实现了城市扩张动态结构的识别。自组织双重空间聚类算法使得聚类结果,既在空间域上连续,又在属性域上相近,算法过程具有自组织性,减少了人为影响。     

北京市顺义区农田景观格局变化研究

通过对1980,1995,2006年顺义区农田景观规模和空间格局演变的分析,总结出其作为典型的大城市近郊区域农田景观变化的显著特征:第一,农田景观规模呈加速缩减趋势,农村居民点等低密度建设用地是侵占农田的主体;第二,农田景观斑块的空间重心由原来较为居中的位置,持续向远离城市组团中心的东北方向移动;第三,从全境镶嵌体和农田单一景观水平上分析,其景观格局演变均呈破碎化、离散性和均一化趋势.顺义区农田景观因社会经济结构和区域发展方向的调整而发生巨大改变,被道路和大量小规模的无序建筑侵占和切割,正在逐步丧失农田景现美感,应通过探索不同模式的农田景观治理和建设途径,对城市远郊农田景观加以保护和利用.     

江淮流域一次特大暴雨的数值模拟及动力分析

以周晓平研制的有限区域细网格数值模式为基础，编制成一个套网格模式，并对１９９１年７月２～３日发生在江淮流域的特大暴雨过程，进行了数值模拟和动力分析。结果表明：低空急流加强，输送了大量暖湿空气并激发强烈的上升运动是造成该区暴雨的主要原因；在该过程中，热成风平衡遭到破坏，其非热成风平衡部分伴随相应的二级环流，也有利于垂直运动的产生。     

东北亚地区MS6.0以上地震异常电磁波动研究

利用2005-01~2009-12 DEMETER电磁卫星详查模式下磁场与电场的极低频（ELF）三分量波形数据,选取东北亚地区（38°~58°N,105°~145°E）6个M_S≥6地震,对震前30 d震中上空±10°的6 000余条1130和1135轨道数据进行波矢分析和坡印廷矢量分析。结果发现,2005-08-16日本本洲东岸近海M_S7.2地震和2009-06-05日本北海道地区M_S6.6地震震前在质子回旋频率以下记录到来源于地球的异常电磁波扰动;2005-11-10俄罗斯西伯利亚东南部M_S6.4地震和2007-08-02俄罗斯萨哈林岛(库页岛)M_S6.8地震震前在质子回旋频率以下没有记录到异常电磁波扰动;2007-02-17日本北海道地区M_S6.2地震和2008-06-13日本本州东岸近海M_S7.3地震震前在质子回旋频率以下记录到异常电磁波扰动,但并非来源于地球。     

青岛市崂山风景区崩塌地质灾害治理方法探讨——以大平岚崩塌人造景观石治理为例

青岛市崂山风景区旅游主线大平岚附近发生崩塌地质灾害,导致崂山风景区南线道路全线封闭,崩落巨石上方的残留危岩体存在严重安全隐患,急需治理。为使原有景观石得以保护,又不致于形成新的视觉污染,利用人造景观石在崂山风景区大平岚崩塌地质灾害治理工程中进行了探索。实践证明,该方案投资少、工期短、效果好,既消除了崩塌地质灾害隐患,使原有景观石得到了保护,又未形成新的视觉污染,为人造景观石在风景区地质灾害治理工程中的应用起到了示范作用。     

湖南益阳市土地利用空间梯度及影响因素分析

利用湖南益阳市2008年1∶1万土地利用现状数据库,采用景观指数分析与空间统计分析方法,对益阳市域土地利用空间梯度特征及影响因素进行研究。研究表明：益阳市土地利用空间梯度特征明显,呈现出＂平湖—丘岗—山地＂地域梯度、＂中心—外围＂城乡梯度、道路两侧轴带梯度;自然地理环境、经济社会发展以及差别化的区域发展政策等人为活动因...