Coupling numerical simulation with remotely sensed information for the study of frozen soil dynamics     

HuiRan Gao  WanChang Zhang 《寒旱区科学》2020,12(6):404-417

The acquisition of spatial-temporal information of frozen soil is fundamental for the study of frozen soil dynamics and its feedback to climate change in cold regions. With advancement of remote sensing and better understanding of frozen soil dynamics, discrimination of freeze and thaw status of surface soil based on passive microwave remote sensing and numerical simulation of frozen soil processes under water and heat transfer principles provides valuable means for regional and global frozen soil dynamic monitoring and systematic spatial-temporal responses to global change. However, as an important data source of frozen soil processes, remotely sensed information has not yet been fully utilized in the numerical simulation of frozen soil processes. Although great progress has been made in remote sensing and frozen soil physics, yet few frozen soil research has been done on the application of remotely sensed information in association with the numerical model for frozen soil process studies. In the present study, a distributed numerical model for frozen soil dynamic studies based on coupled water-heat transferring theory in association with remotely sensed frozen soil datasets was developed. In order to reduce the uncertainty of the simulation, the remotely sensed frozen soil information was used to monitor and modify relevant parameters in the process of model simulation. The remotely sensed information and numerically simulated spatial-temporal frozen soil processes were validated by in-situ field observations in cold regions near the town of Naqu on the East-Central Tibetan Plateau. The results suggest that the overall accuracy of the algorithm for discriminating freeze and thaw status of surface soil based on passive microwave remote sensing was more than 95%. These results provided an accurate initial freeze and thaw status of surface soil for coupling and calibrating the numerical model of this study. The numerically simulated frozen soil processes demonstrated good performance of the distributed numerical model based on the coupled water-heat transferring theory. The relatively larger uncertainties of the numerical model were found in alternating periods between freezing and thawing of surface soil. The average accuracy increased by about 5% after integrating remotely sensed information on the surface soil. The simulation accuracy was significantly improved, especially in transition periods between freezing and thawing of the surface soil.  相似文献   

敞开酸溶和偏硼酸锂碱熔ICP-MS法测定多金属矿中的稀土元素及铌钽锆铪   总被引：2，自引：2，他引：0  

门倩妮  沈平  甘黎明  冯博鑫 《岩矿测试》2020,39(1):59-67

用电感耦合等离子体质谱法(ICP-MS)测定地质样品中的稀土及难熔元素,混合酸敞开酸溶法和碱熔融法是两种主要的溶样方法。但地质样品组分复杂,元素之间存在相互共生的现象,对于特殊元素、特殊样品用传统酸溶法会造成部分元素消解不完全,使测定结果不准确;而碱熔法的操作过程繁琐,且溶液盐度高,易产生基体干扰和堵塞仪器进样系统。本文改进了传统四酸和五酸体系,采用氢氟酸-硝酸-硫酸敞开酸溶体系,用国家一级标准物质制作标准曲线测定15种稀土元素,方法准确度(ΔlgC)为0.001～0.027。同时改进了偏硼酸锂碱熔法,样品用偏硼酸锂碱熔提取,加入氢氧化钠调节溶液至碱性条件,所测元素与偏硼酸锂共沉淀后过滤分离熔剂,再用硝酸复溶测定15种稀土元素及铌钽锆铪。两种溶样方法的测定值与认定值的相对误差为1.09%～9.30%。将混合酸敞开酸溶法测定稀土元素、偏硼酸锂碱熔法测定铌钽锆铪的结果与其他实验室密闭酸溶法相比,两组数据的相对偏差为0.13%～15.32%。本实验表明,混合酸敞开酸溶法适用于测定地质样品中的稀土元素,偏硼酸锂碱熔法不仅适用于测定地质样品中的稀土元素及铌钽锆铪,也适用于测定如古老高压变质岩石及铝含量高的样品中的铌钽锆铪。  相似文献   

A review of fully coupled atmosphere-hydrology simulations     

Ning  Like  Zhan  Chesheng  Luo  Yong  Wang  Yueling  Liu  Liangmeizi 《地理学报(英文版)》2019,29(3):465-479

Journal of Geographical Sciences - The terrestrial hydrological process is an essential but weak link in global/regional climate models. In this paper, the development status, research hotspots and...  相似文献   

一套有效简易验潮站建设方案的设计     

刘望华  董炜烽 《海洋技术学报》2018,(2):110-113

简易验潮站具有投资少、见效快的优点,是长期验潮站的一种有益补充。作者对厦门地区简易验潮站建设与应用情况进行了系统总结,提出了一种简易验潮站的建设方案。该方案经实践检验证明可以解决在一定环境条件下简易验潮站长期、连续、准确验潮的问题,从而提高社会效益和经济效益,具有良好的推广示范价值。  相似文献   

低压密闭消解-电感耦合等离子体发射光谱法测定地质样品中的硼     

杜宝华  盛迪波  罗志翔  王全 《岩矿测试》2020,39(5):690-698

采用酸溶-电感耦合等离子体发射光谱法(ICP-OES)测定地质样品中的全硼量,关键环节在于如何防止样品消解过程中硼元素的损失,降低测量过程中的基体干扰、光谱干扰和记忆效应。基于以上问题,本文采用氢氟酸-硝酸-高氯酸-磷酸在低压密闭溶样罐中消解样品,溶出的硼元素与少量磷酸充分络合,防止硼的挥发损失;以基体及主成分浓度与样品相类似的地质类固体标准物质绘制标准曲线做线性校准,有效匹配和降低样品的基体干扰;采用仪器自带的操作软件,观察分析谱线附近是否存在其他元素的干扰,来确定背景扣除最佳的位置及宽度,降低ICP-OES测量中的光谱干扰;以10%的王水作为进样系统的冲洗液,有效消减测量过程中的记忆效应。当稀释因子为200时,方法的检出限(3SD)为1.2μg/g,定量限(10SD)为4.0μg/g;用岩石、土壤及水系沉积物国家一级标准物质对精密度及准确度进行分析验证,11次测定相对标准偏差为1.8%～7.9%,相对误差为-3.6%～6.3%;以外检分析结果为参考,对硼含量在定量限以上的样品测定,相对误差为-9.3%～12.5%。  相似文献   

金活动态提取剂提取-电感耦合等离子体质谱法测定深穿透地球化学样品中的金     

王冀艳  胡家祯  丁汉铎  曹立峰  张明炜  张帆  黄杰  姚文生 《岩矿测试》2020,39(4):525-534

金的地球化学勘查基于金的准确测定,地球化学样品中金含量通常处于ng/g水平,需先进行分离富集,再采用电感耦合等离子体质谱法(ICP-MS)或石墨炉原子吸收光谱法(GFAAS)进行测定。当前,隐伏矿床勘查是地球化学探测技术的发展前沿,金活动态提取技术是寻找隐伏金矿的有效手段之一。相比于全量分析,金的活动态含量更低,需要解决选择性提取、高效预富集与准确测定等一系列难题。本文采用柠檬酸铵与土壤中黏土矿物及次生矿物作用促使吸附和可交换组分的金进入提取液,以硫脲和硫代硫酸钠络合金使活动态金向提取液中扩散,达到选择性提取的目的,建立了提取液中金的预富集及ICP-MS测定方法。实验确定的分析条件为:采用5g/L柠檬酸铵-2g/L硫脲-5g/L硫代硫酸钠为提取剂,提取时间24h,在酸性硫脲介质下用活性炭富集金,金吸附率可达89.6%～109.2%,灰化解吸温度为650～700℃。本方法检出限为0.05ng/g,相对标准偏差(RSD)为9.4%～10.2%,加标回收率为91.2%～93.4%。与已报道的硫酸铁-硫脲-硫代硫酸钠溶液提取再GFAAS测定的方法相比,本方法具有检出限低、测试线性范围宽、测试速度快的优势;应用于森林覆盖区黑龙江东安金矿区地球化学探测试验,金活动态异常与隐伏金矿位置一致。  相似文献   

台湾海峡冬、夏季氮通量的数值模拟研究     

杨金湘  王佳 《海洋学报》2018,40(4):30-40

本文建立了一个气候态驱动的台湾海峡物理-生态耦合模型（ROMS-NPZD）。与遥感观测数据的比较表明，模型能够较好地模拟出冬、夏季台湾海峡主要的温度和叶绿素分布特征。模型揭示了夏季台湾海峡营养盐输运的东、西通道，与南海次表层水的入侵通道一致；冬季，海峡中的营养盐来源于闽浙沿岸水和通过澎湖水道入侵的南海次表层水。模拟结果表明:夏季，通过海峡流入东海的氮主要为有机氮；冬季，闽浙沿岸流为海峡和南海北部陆架提供了丰富的营养盐，不仅如此，南海次表层水进入海峡的营养盐通量与夏季相当。  相似文献   

黄河现行清水沟流路汊河运用方案探讨   总被引：1，自引：1，他引：0  

王开荣  凡姚申  韩沙沙  杜小康 《海洋科学》2020,44(10):91-100

对黄河河口现行清水沟流路范围内不同汊河的形成、演化及其特征进行了梳理总结，围绕汊河不同运用方案的影响效应进行了论证分析。研究表明：现行清水沟流路范围内的汊河运用方案不适用于多汊河轮流行河模式、同时行河与轮流行河联合模式和同时行河模式，而采用单一汊河轮流行河模式可以充分发挥海洋输沙动力，保证河口海域向外海的较大输沙量，对延长清水沟流路使用年限更有利，更为科学和经济合理。在现行清8汊河达到改道标准后，应优先使用老河道汊河，该方案不仅有利于未来海岸线的均衡发展，而且更有利于延长清水沟流路的使用年限。  相似文献   

用于厄尔尼诺-南方涛动(ENSO)研究的海气耦合模式综述：中间型和混合型模式     

张荣华 《海洋与湖沼》2024,55(1):1-23

厄尔尼诺-南方涛动(El Niño-Southern Oscillation, ENSO)是地球气候系统中最强的年际变率信号, 起源于热带太平洋海气相互作用过程, 并对全球的天气和气候等产生显著的影响。过去几十年来, 广泛、深入而细致的海气相互作用研究致力于发展和改进海气耦合模式以用于ENSO模拟和预测, 各种类型的海气耦合模式应运而生。经过半个多世纪的努力, ENSO数值模式及其应用已经取得了巨大进展, 包括已发展了一些高度理想化的概念(concept)模型来解释ENSO准周期性循环(包括正负反馈机制等); 同时也已发展了几类复杂程度不同的海气耦合模式并用于对ENSO的真实模拟和实时预测等研究, 尤其是已能提前6个月或更长时间对ENSO事件的发生和发展等进行有效的实时预测。其中最为复杂的模式是基于原始方程组的大气环流模式(Atmospheric General Circulation Models, AGCMs)与海洋环流模式(Oceanic General Circulation Models, OGCMs)等所组成的环流型耦合模式(Coupled General Circulation Models, CGCMs), 这类模式变量取为完全变量的形式(如总的海表温度场, 其可以分解为气候态部分和年际异常部分), 还考虑了尽可能详尽的物理过程及其参数化方案。中间型耦合模式(Intermediate Coupled Models, ICMs)是一类介于高度理想化概念模型与复杂的环流型耦合模式之间的简化模式, 其对应的控制方程组采用距平形式, 直接取大气和海洋年际异常场作为预报变量(如海表温度年际异常), 而相应的气候平均态部分则由对应的观测资料来给定; 大气与海洋模式间的耦合采用异常耦合(anomaly coupling)。混合型耦合模式(Hybrid Coupled Models, HCMs)是另一类简化的海气耦合模式, 其中海洋或大气模式有一个分量模式采用了简化的距平类模式(类似于ICMs),而另一个分量模式则采用环流型模式(General Circulation Models, GCMs); 如可采用统计的大气风应力年际异常模式与OGCM间的耦合而构建一种HCM_OGCM,也可采用简化的海洋距平类模式(如ICM中的海洋分量模式)与AGCM间的耦合而构建另一种HCM^AGCM。历史上, ICMs、HCMs和CGCMs等这几类耦合模式都在ENSO理论体系的发展、数值模拟和实时预测等方面都起到了重要作用。本文主要回顾作者与合作者所研发的ICMs和HCMs的构建、特点和应用例子等。  相似文献   

Probabilistic calibration of a coupled hydro-mechanical slope stability model with integration of multiple observations     

Lulu Zhang  Fang Wu  Yafei Zheng  Lihong Chen  Jie Zhang  Xu Li 《Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards》2018,12(3):169-182

Multiple types of responses, such as displacements, ground water level, pore water pressures, water contents, etc., are usually measured in comprehensive monitoring programmes for rainfall-induced landslide prevention. In this study, a probabilistic calibration method for coupled hydro-mechanical modelling of slope stability is presented with integration of multiple types of measurements. A numerical example of a soil slope under rainfall infiltration is illustrated to compare the effects of single and multiple types of responses on parameter estimation and model calibration. The results show that the soil parameters can be estimated with less uncertainty and total uncertainty bounds are narrower with multiple types of responses than with a single type of response. Model calibration based on multiple types of responses can compromise different responses and hence the means and standard deviations of model error are the smallest. A feasible correlation coefficient between soil modulus and permeability can be obtained from model calibration with multiple types of responses and single type of response as long as the responses include displacement data.  相似文献