阿克苏河流域的面雨量序列及其与径流关系

以数字高程模型 (DEM) 的1km×1km网格数据为基础,对阿克苏河流域14个气象站和水文站的1961~2000年的年降水资料进行了自然正交分解 (EOF),通过回归分析,建立主要特征向量与地理因子的插值模型,给出了一个面雨量序列的计算方法,为建立气候要素的区域平均序列提供了一个有效的解决方案,并由此推算出年阿克苏流域平均年降水量的空间分布以及面雨量序列。径流量与面雨量之比 (R/P) 平均为0.43,最高为0.69 (1997年),最低为0.30 (1963年)。计算出的阿克苏河流域面雨量序列与阿克苏河实测径流量序列的趋势变化率分别为5.79×10⁸ m³/10a和4.29×10⁸ m³/10a,两者均表现出增加趋势,但面雨量的增加速率要比径流量大一些,年际变化幅度也要大,面雨量和径流量的变差系数Cv值分别为0.17和0.13。阿克苏河年径流量的变化与夏季0^oC层高度、年面雨量有着十分密切的关系,表明20世纪90年代以来新疆气候的变化是阿克苏河流域径流稳定增加的一个非常重要的因素。     

西藏山地淋溶土系列与大骨节病分布的关系

通过西藏大骨节病县与非病县棕壤与暗棕壤各土属、土种的分布面积的对比分析对西藏耕型棕壤和暗棕壤分布与西藏大骨节病区分布的关系进行研究.结果表明,西藏大骨节病的分布与棕壤、暗棕壤为主的耕型淋溶土壤的分布有一定的联系,但土壤母质和发育程度不同,对大骨节病的分布影响不同.对于残坡积土壤,病区趋于分布在泥质土壤环境,而麻砂质土壤基本是大骨节病的非病区.同样的母质环境,大骨节病区趋于分布在土壤厚度较小,发育程度较低的地区;就洪积土壤来说,其与大骨节病分布的关系似乎与土壤质地有一定的联系,底部砾石含量高的土壤多集中在大骨节病地区.总体而言,山地棕壤、暗棕壤环境是西藏大骨节病区的主要土壤类型之一,西藏未开发的自然棕壤和暗棕壤环境将是大骨节病潜在危险区,因此系统研究西藏典型大骨节病区的土壤分异对探讨未来西藏大骨节病的分布与流行有重要意义.     

中国大气本底观测发展概述

中国早期的大气本底观测网建设起步于上世纪80年代初，并于10a后基本建成。目前，中国气象局、中国科学院在原有观测站的基础上各自建设和发展着自己下属的大气本底观测网络。全球大气观测网给出了一整套开展大气本底观测的技术标准，各国均予以严格遵循。20多年来，中国大气本底观测工作在基础数据积累以及观测标准制定等方面取得了较大进展，与此相关的科学研究也取得了长足进步。最后对中国大气本底观测发展过程中存在的一些问题进行了探讨。     

湖南省武陵山片区人口城镇化与流通产业发展协同演化及其减贫效应研究

运用协同度模型、空间ESDA、趋势面分析和面板计量回归模型,分析湖南省武陵山片区2001—2017年人口城镇化与流通产业发展协同的时空演化特征及其减贫效应。研究发现:湖南省武陵山片区人口城镇化与流通产业协同发展整体呈上升趋势但水平偏低,不同板块间协同水平差异显著且有扩大倾向;具有"集聚–分散–集聚"空间循环过程,局部空间极化效应明显,形成邵阳板块的显著热点区和湘西自治州板块的显著冷点区;协同发展"东高西低"空间分布格局更趋明显,"北高南低"分布态势减弱;两者协同发展对农民收入提升、贫困减缓具有显著正向促进作用,进一步空间效应分解发现协同减贫的空间正外溢性显著;实施人口城镇化与流通产业发展"双轮"协同驱动战略是实现乡村振兴的现实需要,也是落实高质量脱贫方略的重要支撑。     

Effects of land use and cultivation time on soil organic and inorganic carbon storage in deep soils

The vertical distribution and exchange mechanisms of soil organic and inorganic carbon(SOC, SIC) play an important role in assessing carbon(C) cycling and budgets. However, the impact of land use through time for deep soil C(below 100 cm) is not well known. To investigate deep C storage under different land uses and evaluate how it changes with time, we collected soil samples to a depth of 500 cm in a soil profile in the Gutun watershed on the Chinese Loess Plateau(CLP); and determined SOC, SIC, and bulk density. The magnitude of SOC stocks in the 0–500 cm depth range fell into the following ranking: shrubland(17.2 kg m~(-2)) grassland(16.3 kg m~(-2)) forestland(15.2 kg m~(-2)) cropland(14.1 kg m~(-2)) gully land(6.4 kg m~(-2)). The ranking for SIC stocks were: grassland(104.1 kg m~(-2)) forestland(96.2 kg m~(-2)) shrubland(90.6 kg m~(-2)) cropland(82.4 kg m~(-2)) gully land(50.3 kg m~(-2)). Respective SOC and SIC stocks were at least 1.6-and 2.1-fold higher within the 100–500 cm depth range, as compared to the 0–100 cm depth range. Overall SOC and SIC stocks decreased significantly from the 5 th to the 15 th year of cultivation in croplands, and generally increased up to the 70 th year. Both SOC and SIC stocks showed a turning point at 15 years cultivation, which should be considered when evaluating soil C sequestration. Estimates of C stocks greatly depends on soil sampling depth, and understanding the influences of land use and time will improve soil productivity and conservation in regions with deep soils.     

中学地理科学实验的六大类型及其案例分析

依据实验的根本目的,为拓展学生对地理过程的理解,体验真实的地理原理,笔者将中学地理科学实验划分为经典实验室实验、时间变化模型实验、类比实验、空间变化模型实验、物理模型实验以及计算机模型实验六大类型,并对每一类型实验进行举例分析,希望以此深化地理科学实验的理论研究、丰富地理科学实验的实践案例、培养学生的地理核心素养,为地理科学实验教学研究提供新的视角。     

Identifying primary public transit corridors using multi-source big transit data

ABSTRACT

Effective public transit planning needs to address realistic travel demands, which can be illustrated by corridors across major residential areas and activity centers. It is vital to identify public transit corridors that contain the most significant transit travel demand patterns. We propose a two-stage approach to discover primary public transit corridors at high spatio-temporal resolutions using massive real-world smart card and bus trajectory data, which manifest rich transit demand patterns over space and time. The first stage was to reconstruct chained trips for individual passengers using multi-source massive public transit data. In the second stage, a shared-flow clustering algorithm was developed to identify public transit corridors based on reconstructed individual transit trips. The proposed approach was evaluated using transit data collected in Shenzhen, China. Experimental results demonstrated that the proposed approach is a practical tool for extracting time-varying corridors for many potential applications, such as transit planning and management.     

A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes

ABSTRACT

The spatio-temporal residual network (ST-ResNet) leverages the power of deep learning (DL) for predicting the volume of citywide spatio-temporal flows. However, this model, neglects the dynamic dependency of the input flows in the temporal dimension, which affects what spatio-temporal features may be captured in the result. This study introduces a long short-term memory (LSTM) neural network into the ST-ResNet to form a hybrid integrated-DL model to predict the volumes of citywide spatio-temporal flows (called HIDLST). The new model can dynamically learn the temporal dependency among flows via the feedback connection in the LSTM to improve accurate captures of spatio-temporal features in the flows. We test the HIDLST model by predicting the volumes of citywide taxi flows in Beijing, China. We tune the hyperparameters of the HIDLST model to optimize the prediction accuracy. A comparative study shows that the proposed model consistently outperforms ST-ResNet and several other typical DL-based models on prediction accuracy. Furthermore, we discuss the distribution of prediction errors and the contributions of the different spatio-temporal patterns.     

Rainfall interception of typical ecosystems in the Heihe River Basin: Based on high temporal resolution soil moisture data

Journal of Geographical Sciences - Rainfall interception is of great significance to the fully utilization of rainfall in water limited areas. Until now, studies on rainfall partitioning process of...     

人海关系地域系统视角下海洋本体的解构与研究重点

在揭示人海辩证关系与海洋社会属性的基础上,从人海关系地域系统的视角,解析了海洋的构成。第一海洋（自然海洋）是人海关系地域系统中自然存在而非人为构筑的海洋部分,其核心要素是地理位置、物质构成和空间形态。第二海洋（人工海洋）是人类海洋实践中所建造的设施及相应的物质、能量及信息流动,包括基地设施、人类主体之间的物质信息交流和人类与海洋之间的采集排放活动。第三海洋（关系海洋）是不同人类主体在海洋实践中形成的互动关系,核心内容是主体构成、内容组成以及表现形式。第四海洋（观念海洋）是人类对海洋及海洋实践活动的认知,核心是在处理人类与海洋、陆地与海洋和人类主体之间关系时所秉持的理念。现实中,自然海洋、实践性的人工海洋和关系海洋与构想性的观念海洋相互作用,形成了丰富多样的海洋世界。随着人类海洋实践的深化,关系海洋和观念海洋与自然海洋和人工海洋一并成为了研究与实践的重点。