Heterogeneity of water-retention capacity of forest and its influencing factors based on meta-analysis in the Beijing-Tianjin-Hebei region

Water retention is important in forest ecosystem services.The heterogeneity analysis of water-retention capacity and its influencing factors is of great significance for the construction of water-retention functional areas,restoration of vegetation,and the protection of forest ecosystems in the Beijing-Tianjin-Hebei region.A total of 1366 records concerning water-retention capacity in the canopy layer,litter layer,and soil layer of forest ecosystem in this region were obtained from 193 literature published from 1980 to 2017.The influencing factors of water-retention capacity in each layer were analyzed,and path analysis was used to investigate the contribution of the factors to the water-retention capacity of the three layers.The results showed that mixed forests had the highest water-retention capacity,followed by broad-leaved forests,coniferous forests,and shrub forests.In addition,no matter the forest type,the ranking of the water-retention capacity was soil layer,canopy layer,and litter layer from high to low.The main influencing factors of water-retention capacity in forest canopy were leaf area index and maximum daily precipitation(R2=0.49),and the influencing coeffi-cients were 0.34 and 0.30,respectively.The main influencing factors of water-retention ca-pacity in the litter layer were semi-decomposed litter(R2=0.51),and the influencing coefficient was 0.51.The main influencing factors of water-retention capacity in the soil layer were non-capillary porosity and soil depth(R2=0.61),the influencing coefficients were 0.60 and 0.38, respectively.This study verifies the simulation of the water balance model or inversion of remote sensing of the water-retention capacity at the site scale,and provides scientific basis for further study of the impact of global change on water retention.     

人工智能GIS软件技术体系初探

作为人工智能的代表性技术,深度学习已经成为大数据等各个领域中最具有突破性发展的新技术。深度学习的成功主要得益于其新颖的数据驱动的特征表示学习能力,这种能力成功地替代了传统建模中基于领域知识人为设计特征的方式。在这些技术推动下,人工智能技术在新一代GIS基础软件技术的研究与应用中发挥着极为重要的作用,而现有人工智能GIS（AI GIS）技术研究整体仍处于初步探索阶段,距离成熟阶段尚有较大距离。作为新一代GIS基础软件的方法和技术,AI GIS已经广泛应用在遥感数据分析、水资源研究、空间流行病学和环境健康等地学领域,与传统GIS模型相比大大提高了对非结构化的遥感或街景影像和文本的地理信息提取和特征理解能力,显示出巨大的价值和发展潜力,但现有研究对AI GIS软件技术体系的梳理和总结尚不够全面。大部分研究只关注地理空间人工智能算法的研究及其特定场景下的应用研究,而对相关的AI GIS软件技术体系关注较少。本文分析了地理智慧的几个层次,并讨论了其与AI GIS的关系,总体介绍了国内外现有人工智能技术与GIS软件相结合的发展现状,进而提出了AI GIS软件技术体系。根据AI与GIS的结合关系提出了AI GIS由地理空间智能算法、AI赋能GIS和GIS赋能AI三部分组成。此外,为深入介绍AI GIS各部分组成,本文以SuperMap为例,探讨了AI GIS软件的设计与实现。最后,探讨了AI GIS的未来发展中亟需解决的问题。本文基于AI GIS软件技术的初步探索,尝试为地理智能的基础GIS软件技术体系的构建提供理论基础,以促进人工智能技术与GIS技术的进一步融合和发展,为实现地理智能提供一个可行的研究方向。     

中国太阳总辐射的气候学计算法研究(英文)

Angstrom-Prescott公式的气候学计算法是应用较广的太阳辐射模拟方法,其系数一般通过线性回归确定。近年来,许多研究显示该系数存在明显的空间变异性,常见的解决方法是将研究区划分子区域逐个拟合。本研究采用1961-2010时段日照时数与太阳辐射站点资料,以天文辐射为起始值,基于地理加权回归得到全国尺度连续变化的Angstrom-Prescott系数。通过高精度曲面建模方法(HASM)构建的日照时数资料和天文辐射曲面,得到国家尺度太阳辐射曲面。空间非平稳和误差比较检验等结果表明,系数存在显著的空间非平稳性;与已有研究相比,本研究的模拟方法效果较好。     

Stratigraphic response to spatiotemporally varying tectonic forcing in rifted continental basin: Insight from a coupled tectonic‐stratigraphic numerical model

The role of spatiotemporally varying tectonic forcing in the development of stratigraphic patterns along passive margins and continental rift basins has been recognized for decades, but the exact nature of the stratigraphic response is still debated. This study develops a coupled tectonic‐stratigraphic numerical model with a fixed absolute lake level and constant climate conditions to quantify the signatures of spatiotemporally varying tectonic forcing on the stratigraphic record. This model consists of a three‐dimensional rift basin with a range of geomorphic features and produces a number of well‐recognized stratigraphic patterns, which are commonly interpreted to be caused by lake‐/sea‐level or climate fluctuations. This study demonstrates that the shoreline and grain‐size front are decoupled through the adjustment of the depositional slope and sediment dispersal under spatiotemporally varying tectonic forcing, especially in underfilled basins. Under such a decoupled situation, the pathway of the migrating subsidence centre correlates with the pathway of the grain‐size front, a result of competition between spatiotemporally varying tectonic forcing and autogenic sediment transport. The model results also highlight the significance of three‐dimensional variability in the stratigraphic response to tectonic forcing, which may be overlooked or misinterpreted and suggests a high degree of uncertainty in re‐establishing the base‐level cycles from the stratigraphic record alone. Moreover, spectral analysis of the modelled stratigraphy and tectonic forcing suggests that low‐frequency tectonic signals are more likely to be recorded in the stratigraphy with a lag time, whereas high‐frequency tectonic signals are likely to be shredded, mixed with autogenic signals, or buffered through sediment‐routing systems. Finally, quantitative measurements of the stratigraphic architecture of the Nanpu sag in the Bohai Bay Basin, China are used to tune the numerical model of this study to illustrate how to evaluate the role of tectonic forcing on the development of characteristic stratigraphic sequences.     

HASM解算的2维双连续投影方法

基于曲面论原理的高精度曲面建模方法（HASM）解决了长期困扰地理信息系统界的误差问题,但使用该方法需要求解大规模线性方程系统导致其计算效率较低并限制了其广泛应用。为提高HASM线性系统的解算速度和精度,本文基于二维双连续投影提出了一种解算HASM的新方法（HASM-DSPM）。为了提高收敛速度和解算精度,该方法采用选取优化的投影空间和两次校正策略。理论分析表明,使用该方法比使用高斯赛尔方法（Gauss-Seidel, GS）和改进的高斯赛德尔方法(Modified Gauss-Seidel, MGS)效率明显提高。分别用本文引入的方法、高斯赛德尔方法和效率较高的MGS方法分别进行了HASM方程组的解算,并对高斯合成曲面和实际项目区模拟进行了模拟试验。结果表明,和GS、MGS方法相比,本文提出的HASM-DSPM解算方法无论收敛速度和计算时间都有明显改善。     

Formation of point bars through rising and falling flood stages: Evidence from bar morphology,sediment transport and bed shear stress

Flow processes and sediment transport in a channel bend and associated point bar have been studied in modern rivers, theoretical models and physical experiments: however, the relationship between flow process and point‐bar morphology has rarely been explained due to the complex nature of open channel flow. Plan‐view exposures of an ancient point‐bar complex, exposed at the top of the Cretaceous Ferron Sandstone Member of the Mancos Shale Formation, south‐central Utah, allowed reconstruction of bar morphology, sediment transport and bed shear stress, which were used to extrapolate flow processes. Studies of these outcrops show that compound point bars and scroll bars were probably formed during falling and rising flood stages, respectively. A simulation model of plan‐view channel form shows that channel dimensions, such as radius of curvature and sinuosity of the point‐bar complex, range between 205 m and 351 m and 1·04 and 1·22, respectively, throughout the evolution of the channel bend. Variations in strength of the helical flow were interpreted as the main control on facies architecture and bar morphology. Strong helical flow was related to the deposition of the scroll bars, while strength of helical flow is decreased for compound bars. The use of cross‐beds as a common palaeocurrent indicator was found to be inconsistent with mean flow directions and channel margin orientation.     

高精度曲面建模的中国气候降尺度模型

 与站点统计降尺度插值和动力降尺度相比,高精度曲面建模(HASM)降尺度,具有不需大尺度预报因子,直接从GCM结果构建区域上高空间分辨率的未来气候模拟曲面的优势。HASM降尺度将未来气候,分为历史观测拟合的气候基准值和GCM未来气候变化值进行模拟,精度明显高于传统方法,但常系数全局拟合的气候基准值忽略了降水分布的空间非平稳性,导致降水模拟受到较大影响。为增强降水降尺度的气候背景值的描述能力,通过分析全国尺度降水的非线性非平稳性特点,提出耦合空间变系数气候基准值的HASM空间变系数降尺度模型(HASM-SVDM)以改进HASM对非平稳要素的降尺度能力,并以1961-2010年全国气温降水观测数据结合地形特征信息,利用HASM降尺度方法对HadCM3的A1Fi、A2a和B2a 3种情景的1961-1990、2010-2039、2040-2069和2070-2099时段的全国未来气温与降水进行降尺度模拟。分析表明,耦合全局线性模型的HASM常系数降尺度模型适合全国气温的降尺度模拟,而耦合空间变系数拟合的HASM-SVDM增强了空间非平稳背景值的描述能力,模拟的空间分布更能体现降水总体的非均匀分布趋势,适合全国降水的降尺度模拟。     

Information diffusion theory-based approach for the risk assessment of meteorological disasters in the Yangtze River Basin

Natural Hazards - Hazard mitigation plans (HMP) inform residents and policymakers of the risks a community is vulnerable to, as well as prioritize measures implemented to minimize hazard damage....     

基于混合最小二乘与总体最小二乘的激光雷达滤波算法

机载激光雷达点云数据滤波技术是LiDAR数据后处理最关键的内容之一。利用最小二乘平差的曲面拟合滤波算法存在一定不足,基于混合最小二乘和总体最小二乘的算法可以有效弥补不足。本文提出一种基于混合最小二乘和总体最小二乘的曲面拟合滤波算法。实验表明,本文滤波算法效果良好,满足实际应用需求。