Paleofire reconstruction for high-elevation forests in the Sierra Nevada, California, with implications for wildfire synchrony and climate variability in the late Holocene

Here, we present two high-resolution records of macroscopic charcoal from high-elevation lake sites in the Sierra Nevada, California, and evaluate the synchroneity of fire response for east- and west-side subalpine forests during the past 9200 yr. Charcoal influx was low between 11,200 and 8000 cal yr BP when vegetation consisted of sparse Pinus-dominated forest and montane chaparral shrubs. High charcoal influx after ∼ 8000 cal yr BP marks the arrival of Tsuga mertensiana and Abies magnifica, and a higher-than-present treeline that persisted into the mid-Holocene. Coeval decreases in fire episode frequency coincide with neoglacial advances and lower treeline in the Sierra Nevada after 3800 cal yr BP. Independent fire response occurs between 9200 and 5000 cal yr BP, and significant synchrony at 100- to 1000-yr timescales emerges between 5000 cal yr BP and the present, especially during the last 2500 yr. Indistinguishable fire-return interval distributions and synchronous fires show that climatic control of fire became increasingly important during the late Holocene. Fires after 1200 cal yr BP are often synchronous and corroborate with inferred droughts. Holocene fire activity in the high Sierra Nevada is driven by changes in climate linked to insolation and appears to be sensitive to the dynamics of the El Niño-Southern Oscillation.     

Empirical Analysis of City Contact in Zhujiang （Pearl） River Delta,China

In traditional urban geography, city contact research is a classic study element in city research. In general, researchers use the traditional gravity model to characterize the contacts that exist between two cities. The traditional gravity model assumes ideal condi- tions, but these preconditions and their results often do not exist in realistic conditions. Thus, we used a modified gravity model to char- acterize the city contacts within a specific region. This model considers factors such as intercity complementarities, government inter- vention, and the diversity of the transportation infrastructure which is characterized as the transportation distance instead of the tradi- tional Euclidean distance. We applied this model to an empirical study of city contact in the Zhujiang （Pearl） River Delta （PRD） of China. The regression results indicated that the modified gravity model could measure city contact more accurately and comprehen- sively than the traditional gravity model, i.e., it yielded a higher adjusted R2 value （0.379） than the traditional gravity model result （0.259）. Our study also suggests that, in addition to urban-regional and metropolitan development, the complementarities of the basic functions of cities at the administrative and market levels, as well as the corporeal and immaterial levels, play very significant roles in the characterization of city contact. Given the complexity of city contact, it will be necessary to consider more relevant influential fac- tors in the modified gravity model to characterize the features of city contact in the future.     

Gravitational clustering of galaxies in an expanding universe

We inquire the phenomena of clustering of galaxies in an expanding universe from a theoretical point of view on the basis of thermodynamics and correlation functions. The partial differential equation is developed both for the point mass and extended mass structures of a two-point correlation function by using thermodynamic equations in combination with the equation of state taking gravitational interaction between particles into consideration. The unique solution physically satisfies a set of boundary conditions for correlated systems and provides a new insight into the gravitational clustering problem.     

基于深度神经网络的台风中心定位方法

台风中心定位的微小误差会对台风路径预报造成较大的偏离,因此精确定位台风中心是台风路径预测和灾害预报的重要步骤。台风云系随时间不断变化且风力强弱不一,在卫星云图中呈现了多样性和复杂性,现有基于神经网络的模型由于缺少对台风特征图像多维度参数的权重合理分配,在自动提取台风图像特征上受到了限制。为此,提出一种融合通道注意力与坐标注意力的神经网络模型（TY-LOCNet）,首先搭建深度卷积神经网络模型提取台风特征;其次引入通道注意力机制从台风特征中捕获通道级别的信息,提升模型对重要通道的关注度;然后将通道注意力结果输入到坐标注意力机制中全局标定台风位置信息,使模型能够在较大的区域关注到台风的形态结构;此外,均方误差损失函数未能融合计算坐标导致定位精度低,因此提出距离损失函数(DISTLoss)通过距离回归提高模型定位精度。实验结果表明,TY-LOCNet的平均位置误差(MLE)、平均定位误差(MAE)和检测速度分别为 3.502 像素,0.292 °和 17 FPS,优于其他模型。台风中心定位模型 TY-LOCNet可为台风预报提供实时性台风中心定位支持。     

1971—2018年陕西省人体舒适度日数时空变化特征

根据1971—2018年陕西省94个气象观测站逐日气象资料,采用线性倾向率、累积距平、小波分析和EOF分析等方法,对陕西省人体舒适度日数时空变化特征进行了统计分析。结果表明：陕西全省大部分时间体感状态为从冷到舒适,日数占85.2%;体感状态为暖和以上日数较少,无炎热和酷热天气。1981—2018年陕西省平均人体舒适日数为132 d,呈显著增多趋势,线性倾向率为0.524 d·a^-1,四季中春、夏两季人体舒适日数增加最为显著。人体舒适日数存在准4 a和准8 a的振荡周期,滑动T检验表明陕西省及三个地区的人体舒适日数均在1997年左右发生了明显的突变。陕西全省3—11月均存在舒适日,舒适日数主要分布在5—9月,陕北7—8月舒适日数较多,陕西中部6—8月舒适日数较多,陕西南部6—9月舒适日数较多。年人体舒适日数呈现南多北少的空间分布特征,陕南汉中和安康地区最多。EOF分析结果显示,年均人体舒适日数异常分布在全省存在一致性。倾向率空间分布表明陕西全省80%的地区人体舒适日数均呈增长趋势,仅榆林北部、延安北部和安康东部11个区县人体舒适日数呈减少趋势。陕西全省不舒适日数变化...     

响应矩阵技术在唐马试验场地下水管理中的应用

响应矩阵技术是解决地下水管理问题的方法之一,它是通过表征系统结构特征的单位脉冲响应函数来求得由抽水产生的水位分布,并以此作为线性规划的约束条件建立地下水系统的水动力管理模型。本文造过对唐马试验场水文地质条件的分析,建立数学模型并将其分解和离散,对渗流区内各井点作用一单位脉冲来形成响应矩阵,建立水动力管理模型和水位预报方程,对本区未来地下水开采进行优化决策。     

“小而肥”油藏油水分布特征及成因探讨——以海拉尔贝尔凹陷贝中油田为例

针对“小而肥”油田油气成藏特点,以贝尔凹陷贝中油田为例,在对其探评井及开发井测井曲线、地震解释成果、测井解释资料、试油试采动态开发数据研究整理的基础上,结合其断裂系统拆分结果,通过典型实例分析和油藏解剖得知,贝中油田南一段主力油层在“满凹含油”的基础上,形成含油性差区或水区的主要控制因素为:断层断失作用造成目的层内主力...     

试论会计信息的作用

立足会计信息在国民经济中的地位，分析了会计信息的作用，提出了会计信息质量是建立诚信社会的保障。     

抗拔桩轴力分布函数和位移分布函数间的关系模型

为了从荷载传递微分方程导出具有实际意义的非线性解析解,建立一种简单的沿桩长轴力分布函数和位移分布函数之间的关系模型U(z)-?(z)是非常重要的。采用建立经验公式类数学模型的方法,从几何作图法获得的U(z)-?(z)曲线的形状入手,通过对若干个数学模型的试算,确定了指数形式的模型,并对模型中的参数意义和确定进行了讨论,认为参数?,b只与桩顶和桩底位移有关。