垦利碱蓬Suaeda kenliensis J.W.Xing sp.nov.——碱蓬属一新种     

邢军武 《海洋科学》2018,42(9):51-54

报道了中国碱蓬属植物一新种——垦利碱蓬Suaeda kenliensis J.W.Xing sp.nov.。该种与南方碱蓬Suaeda australis(R.Br.)Moq.相近,但系一年生,种子具圆盘状和卵形两种形状,直径约2～3mm,叶长可达5～7 cm,无不定根,与南方碱蓬相区别。垦利碱蓬生长于潮间带和海水周期性淹没处。耐高盐,区域内海水盐度为25,滩涂表层含盐量在退潮后经日晒蒸发可达60‰以上。常形成单一种群的红海滩植被景观。模式标本存:中国科学院海洋生物标本馆;编号:MBM286537。采集地:莱州湾垦利海域潮间带泥滩。采集人:邢军武、曲宁、钟芳。  相似文献   

The isotopic signature of monsoon conditions,cloud modes,and rainfall type          下载免费PDF全文

Costijn Zwart  Niels C. Munksgaard  Alain Protat  Naoyuki Kurita  Dionisia Lambrinidis  Michael I. Bird 《水文研究》2018,32(15):2296-2303

This work provides a comprehensive physically based framework for the interpretation of the north Australian rainfall stable isotope record (δ¹⁸O and δ²H). Until now, interpretations mainly relied on statistical relationships between rainfall amount and isotopic values on monthly timescales. Here, we use multiseason daily rainfall stable isotope and high resolution (10 min) ground‐based C‐band polarimetric radar data and show that the five weather types (monsoon regimes) that constitute the Australian wet season each have a characteristic isotope ratio. The data suggest that this is not only due to changes in regional rainfall amount during these regimes but, more importantly, is due to different rain and cloud types that are associated with the large scale circulation regimes. Negative (positive) isotope anomalies occurred when stratiform rainfall fractions were large (small) and the horizontal extent of raining areas were largest (smallest). Intense, yet isolated, convective conditions were associated with enriched isotope values whereas more depleted isotope values were observed when convection was widespread but less intense. This means that isotopic proxy records may record the frequency of which these typical wet season regimes occur. Positive anomalies in paleoclimatic records are most likely associated with periods where continental convection dominates and convection is sea‐breeze forced. Negative anomalies may be interpreted as periods when the monsoon trough is active, convection is of the oceanic type, less electric, and stratiform areas are wide spread. This connection between variability of rainfall isotope anomalies and the intrinsic properties of convection and its large‐scale environment has important implications for all fields of research that use rainfall stable isotopes.  相似文献   

青藏高原农区农户的家庭能源消费研究     

姜璐  邢冉  陈兴鹏  薛冰 《地理科学》2020,40(3):447-454

农村能源转型是能源消费革命的重要组成部分。基于问卷调查和入户访谈,对青海省10个县（区）的318户农区家庭用能信息进行调查,辨识了青海省农区不同收入分层家庭的能源消费模式,并通过建立典型家庭能源流模型,总结了家庭能获取-消费-废弃过程的形态变化。结果显示：青海省农区家庭能源消费以煤炭、薪柴和秸秆为主,非商品能源消费占比为49.6%,清洁能源使用率低。煤炭消费在5类家庭中均占比最高,薪柴和秸秆消费在低收入家庭占比较高。高收入家庭能源消费类型更多,消费量也大,能源流动更复杂。最后,根据青海省的经济地理特征,提出相应政策建议。  相似文献   

甘南高原乡村社会固有脆弱性及其影响因素   总被引：2，自引：1，他引：1  

李花  赵雪雁  王伟军  李巍 《地理科学》2020,40(5):804-813

开展社会固有脆弱性研究不仅有助于了解区域社会系统的可持续发展状态,更有助于寻求提高社会系统适应能力的恰当策略。通过构建乡村社会固有脆弱性分析框架和评价指标体系,并以甘南高原为研究区,在分析乡村社会固有脆弱性特征的基础上识别了其关键影响因子。结果表明：① 甘南高原乡村社会固有脆弱性呈“梭型”分异,其中,高、中、低脆弱性乡镇分别占18.95%、47.37%、33.68%。② 社会固有脆弱性存在明显的区域差异性,从农区-半农半牧区-牧区、高山峡谷区-山地丘陵区-山原区,社会固有脆弱性趋于增加;同时,随着少数民族聚居度降低、经济发展水平升高,社会固有脆弱性趋于降低。③ 社会固有脆弱性在空间上呈“北高南低”的不均衡分布,敏感性呈“中间高四周低”的集聚分布,适应能力呈相对均衡的“碎片化”分布。④ 气温、生育结构、民族结构、住房安全性、社会弱势群体比重、经济条件、信息可得性和参保比例是影响社会固有脆弱性的关键因子。最后,提出相应的对策建议。  相似文献   

地面稠密观测资料在强对流天气监测预警中的研究进展     

李佩芝  周长春  华维 《云南地理环境研究》2020,(1):53-58

综述国内外数篇论文,从强对流天气监测、预报预警、模式同化3个方面总结分析了近年来地面稠密观测资料的应用与优劣之处。综述表明:地面加密自动站、风廓线雷达、地基GPS、雨滴谱仪等多种观测仪器组成的地面稠密观测网具有时间尺度密集、覆盖面积广泛、能捕捉较多细微变化的优势,通过该观测网所得数据总结出的一系列指示性指标在强对流监测预警中具有重要的指示意义。但因中国地形天气情况复杂多变、数据缺失、仪器造价昂贵等问题,导致该观测网所得指示性指标不能适用于中国全境,应根据该观测网数据分析总结适应本地的预报指标。  相似文献   

1980—2016年黄土高原地区人口和可达性异速标度分析     

吕敏娟  曹小曙 《地理科学进展》2020,39(11):1884-1897

论文基于黄土高原地区乡镇1980、1990、2000、2010、2016年5期截面数据,利用位序—规模法则和异速标度律,分析了乡镇尺度人口和可达性规模结构、等级体系及异速标度演化关系。结果表明：① 人口规模以中小等级乡镇为主,60%的乡镇人口规模正增长,总体呈“南北高、中间低”分布格局;可达性水平总体呈明显上升趋势,空间上自东南向西北逐渐降低;河谷平原区人口规模和可达性均最大。② 人口和可达性均呈位次型分布,人口位序—规模具有明显双分形结构,由均衡向极化转变;可达性位序—规模以2000年为转折点由双分形演变为单分形,由低水平均衡转向更高水平均衡。③ 3006个乡镇整体以正异速生长为主,负异速生长为辅,黄土高塬沟壑区、河谷平原区内乡镇异速生长类型以人口增长正异速生长为主,黄土丘陵沟壑区、土石山区、沙地和沙漠区内乡镇以人口下降正异速生长为主,农灌区内乡镇异速生长以人口增长正异速一级和人口下降负异速一级为主。最后根据人口和可达性异速类型和空间分布特征,提出各分区发展的建议。  相似文献   

阿拉尔河悬浮物对铀的吸附影响研究          下载免费PDF全文

钟翼  许建新  韩积斌  徐凯 《盐湖研究》2020,28(1):112-122

为了解阿拉尔河悬浮物对铀的吸附特性,通过静态吸附实验,研究了吸附时间、pH值、温度和铀初始浓度等因素对模拟含铀水中U(VI)去除率的影响,并从热力学和动力学方面对吸附过程进行了分析。结果表明,在T=25℃,溶液初始pH=7,接触时间为16 h时,悬浮物对铀的平衡吸附率最佳,为95.48%。随着铀初始浓度的增加,吸附量增加,但吸附率随之下降,升高温度有利于铀的吸附。铀在悬浮物上的吸附过程符合Langmuir等温吸附方程,说明悬浮物对铀为单分子层吸附,且化学吸附占主导地位。吸附动力学过程可用准二级吸附动力学模型描述,表明吸附主要受动力学控制,由两个以上步骤共同控制。FTIR和EDS分析结果表明,吸附过程中铀主要与悬浮物表面活性基团螯合并以表面络合吸附为主。吸附前后的能谱对比分析表明,吸附过程中存在离子交换行为。因此,悬浮物对铀的吸附机理是以表面络合吸附和离子交换为主、物理吸附为辅的混合吸附过程。  相似文献   

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

Yibin Ren  Huanfa Chen  Tao Cheng  Yang Zhang  Ge Chen 《International journal of geographical information science》2020,34(4):802-823

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.  相似文献   

Detecting regional dominant movement patterns in trajectory data with a convolutional neural network     

Can Yang  Győző Gidófalvi 《International journal of geographical information science》2020,34(5):996-1021

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A note on the lake level variations of Nam Co,south-central Tibetan Plateau from 2005 to 2019     

ShiQiao Zhou 《寒旱区科学》2020,12(6):430-435

Tibetan lake levels are sensitive to global change, and their variations have a large impact on the environment, local agriculture and animal husbandry practices. While many remote sensing data of Tibetan lake level changes have been reported, few are from in-situ measurements. This note presents the first in-situ lake level time series of the central Tibetan Plateau. Since 2005, daily lake level observations have been performed at Lake Nam Co, one of the largest on the Tibetan Plateau. The interannual lake level variations show an overall increasing trend from 2006 to 2014, a rapid decrease from 2014 to 2017, and a surge from 2017 to 2018. The annual average lake level of the hydrological year (May-April) rose 66 cm from 2006 to 2014, dropped 59 cm from 2014 to 2017, and increased 20 cm from 2017 to 2018, resulting in a net rise of 27 cm or an average rate of about 2 cm per year. Compared to the annual average lake level based on the calendar year, it is better to use the annual average lake level based on the hydrological year to determine the interannual lake level changes. As the lake level was stable in May, it is appropriate to compare May lake levels when examining interannual lake level changes with fewer data. Overall, remote sensing results agree well with the in-situ lake level observations; however, some significant deviations exist. In the comparable 2006-2009 period, the calendar-year average lake level observed in-situ rose by 10-11 cm per year, which is lower than the ICESat result of 18 cm per year.  相似文献