Quantitative Estimation of Groundwater Leakage from Namco Lake by SAR Monitoring

Objective This study focused on the Namco, the largest lake on the Tibet plateau as well as the highest large lake in the world. A large imbalance between water input and output of this lake has attracted great attention in the field of hydrogeology during recent years. As there is no surface outflow from Namco, the large water imbalance can only be explained by water seepage. Synthetic aperture radar （SAR） image data were used for the first time in combination with hydrological data actually measured in the field and meteorological station data, to quantitatively acquire the information of surface fluctuation, water storage variation, and to estimate groundwater leakage from Namco Lake. The results provide theoretical support and data for further understanding the processes and extent of water resource response to global climate change, and also provide a scientific basis for rational development and utilization of water resource in the Tibetan Plateau.

An improved temperature vegetation dryness index(iTVDI) and its applicability to drought monitoring

Using Moderate Resolution Imaging Spectroradiometer(MODIS) data from the dry season during 2010–2012 over the whole Yunnan Province, an improved temperature vegetation dryness index(iTVDI), in which a parabolic dry-edge equation replaces the traditional linear dry-edge equation, was developed, to reveal the regional drought regime in the dry season. After calculating the correlation coefficient, root-mean-square error, and standard deviation between the iTVDI and observed topsoil moisture at 10 and 20 cm for seven sites, the effectiveness of the new index in depicting topsoil moisture conditions was verified. The drought area indicated by iTVDI mapping was then compared with the drought-affected area reported by the local government. The results indicated that the iTVDI can monitor drought more accurately than the traditional TVDI during the dry season in Yunnan Province. Using iTVDI facilitates drought warning and irrigation scheduling, and the expectation is that this new index can be broadly applied in other areas.

Test Research of Seepage Monitoring Based on Distributed Optical Fiber

In this paper,a theoretical model of temperature and velocity of a fiber is derived.A test model simulating seepage indoor is designed.The optical fiber heating temperatures under different compaction degree and seepage velocities are measured through applying AC voltage on the optical fiber.The analyzing results show that the optical fiber heating temperature and seepage velocity are related in quadratic function.The quantitative relations of optical fiber temperature and seepage velocity under different soil types and compaction degree are fitted.Analysis on how the compaction degree influences the relation of optical fiber temperature and seepage velocity shows that with the increase of compaction degree,optical fiber heating temperature will gradually decline.The influence of soil type on fiber heating temperature is very complex.In practice,according to the characteristics of the soil,determining quantitative relationship and implementing quantitative monitoring of the seepage velocity are needed.

Flue Gas Monitoring System With Empirically-Trained Dictionary

The monitoring of flue gas of the thermal power plants is of great significance in energy conservation and environmental protection.Spectral technique has been widely used in the gas monitoring system for predicting the concentrations of specific gas components.This paper proposes flue gas monitoring system with empirically-trained dictionary(ETD)to deal with the complexity and biases brought by the uninformative spectral data.Firstly,ETD is extracted from the raw spectral data by an alternative optimization between the sparse coding stage and the dictionary update stage to minimize the error of sparse representation.D1,D2 and D3 are three types of ETD obtained by different methods.Then,the predictive model of component concentration is constructed on the ETD.In the experiments,two real flue gas spectral datasets are collected and the proposed method combined with the partial least squares,the background propagation neural network and the support vector machines are performed.Moreover,the optimal parameters are chosen according to the 10-fold root-mean-square error of cross validation.The experimental results demonstrate that the proposed method can be used for quantitative analysis effectively and ETD can be applied to the gas monitoring systems.

Statistical Analysis of Process Monitoring Data for Software Process Improvement and Its Application

Software projects influenced by many human factors generate various risks. In order to develop highly quality software, it is important to respond to these risks reasonably and promptly. In addition, it is not easy for project managers to deal with these risks completely. Therefore, it is essential to manage the process quality by promoting activities of process monitoring and design quality assessment. In this paper, we discuss statistical data analysis for actual project management activities in process monitoring and design quality assessment, and analyze the effects for these software process improvement quantitatively by applying the methods of multivariate analysis. Then, we show how process factors affect the management measures of QCD (Quality, Cost, Delivery) by applying the multiple regression analyses to observed process monitoring data. Further, we quantitatively evaluate the effect by performing design quality assessment based on the principal component analysis and the factor analysis. As a result of analysis, we show that the design quality assessment activities are so effective for software process improvement. Further, based on the result of quantitative project assessment, we discuss the usefulness of process monitoring progress assessment by using a software reliability growth model. This result may enable us to give a useful quantitative measure of product release determination.

Quantitative kinetic analysis on oxygen reduction reaction:A perspective

Oxygen reduction reaction(ORR)constitutes the core process of many energy storage and conversion devices including metal–air batteries and fuel cells.However,the kinetics of ORR is very sluggish and thus highperformance ORR electrocatalysts are highly regarded.Despite recent progress on minimizing the ORR halfwave potential as the current evaluation indicator,in-depth quantitative kinetic analysis on overall ORR electrocatalytic performance remains insufficiently emphasized.In this paper,a quantitative kinetic analysis method is proposed to afford decoupled kinetic information from linear sweep voltammetry profiles on the basis of the Koutecky–Levich equation.Independent parameters regarding exchange current density,electron transfer number,and electrochemical active surface area can be respectively determined following the proposed method.This quantitative kinetic analysis method is expected to promote understanding of the electrocatalytic effect and point out further optimization direction for ORR electrocatalysis.

On the Interconnectedness of Schrodinger and Black-Scholes Equation

The following paper tries to derive a Black-Scholes equation by using tools of quantum physics pertaining in that sense to Hamiltonian operator, path integrals, completeness equation, introducing ket and bra vectors. Schrodinger Hamiltonian is presented and compared to Black-Scholes-Schrodinger Hamiltonian. Similarity was demonstrated and it was proved that Schrodinger Hamiltonian was Hermitian while Black-Scholes Hamiltonian was anti-Hermitian. By using Schrodinger equation, price of option was implemented in the Schrodinger equation and by using Black-Scholes Hamiltonian. Black-Scholes equation was derived and a new and really powerful approach was demonstrated that could have immense application in the quantitative analysis and asset pricing.

The Qualitative and Quantitative Methods of Kovalevskys Case

The phase portrait of the functions obtained by Hamilton-Jacobi equations is substantiated, and the classification of singular points is found, and the bifurcation diagram for the problem is studied. The numerical calculation by using Poincaré surface section is used to get the invariant tori for our problem.

A Scalar Acoustic Equation for Gases, Liquids, and Solids, Including Viscoelastic Media

The work deals with a mathematical model for real-time acoustic monitoring of material parameters of media in multi-state viscoelastic engineering systems continuously operating in irregular external environments (e.g., wind turbines in cold climate areas, aircrafts, etc.). This monitoring is a high-reliability time-critical task. The work consistently derives a scalar wave PDE of the Stokes type for the non-equilibrium part (NEP) of the average normal stress in a medium. The explicit expression for the NEP of the corresponding pressure and the solution-adequateness condition are also obtained. The derived Stokes-type wave equation includes the stress relaxation time and is applicable to gases, liquids, and solids.

Calibration of quantitative rescattering model for simulating vortex high-order harmonic generation driven by Laguerre–Gaussian beam with nonzero orbital angular momentum

We calibrate the macroscopic vortex high-order harmonic generation(HHG)obtained by the quantitative rescattering(QRS)model to compute single-atom induced dipoles against that by solving the time-dependent Schr?dinger equation(TDSE).We show that the QRS perfectly agrees with the TDSE under the favorable phase-matching condition,and the QRS can accurately predict the main features in the spatial profiles of vortex HHG if the phase-matching condition is not good.We uncover that harmonic emissions from short and long trajectories are adjusted by the phase-matching condition through the time-frequency analysis and the QRS can simulate the vortex HHG accurately only when the interference between two trajectories is absent.This work confirms that it is an efficient way to employ the QRS model in the single-atom response for precisely simulating the macroscopic vortex HHG.

Mechanical-Mathematical Modeling and Monitoring for Landslide Processes

Landslides are one of the most widespread and dangerous phenomena in the urbanized territories. In Moscow they affect about 3% of the most valuable territory, including churches and historical buildings located at high banks of the Moskva River. Recently the landslide activation occurred. Normal functioning of city infrastructure and implementation of effective slope protection measures require special landslide monitoring. Mechanical-mathematical model of high viscous fluid was applied for the landslide-prone slopes modeling. Equation of continuityand an approximatedNavier-Stockes equation f or slow motions in a thin layer were used. The results of modelling give possibility to define the landslide section with upmost velocity that should be monitored in the first place. Some important parameters used for numerical modelling can be defined from monitoring data.

Urine exosome mRNA-based test for monitoring kidney allograft rejection:Effects of sample transportation and storage,and interference substances

BACKGROUND Exosomes are 30-150 nm nanovesicles with sophisticated nucleic acids cargo,actively secreted by all cells within human body,and found in abundance in all body fluids,including urine.These extracellular vesicles have tremendous potential for next generation diagnostics,theoretically enabling noninvasive assessment of organ and tissue function via liquid biopsy analysis.AIM Recently,feasibility of an exosomal molecular test was demonstrated for postorgan transplant monitoring:Analysis of urine-derived exosomal mRNA cargo allowed early detection of kidney allograft rejection.Here,we further studied urine-derived exosomes and their mRNA content as a highly promising diagnostic modality.This included stability studies of urine samples and exosomal mRNA upon transportation from the point of collection to a centralized testing facility,short-term storage of urine at different conditions upon receipt till the point molecular assay is performed,and effects of various potentially interfering substances on the downstream quantitative polymerase chain reaction(qPCR)assay.METHODS The urine specimens were stored at various conditions and pre-processed in different ways.Next,samples were passed through the columns to capture all extracellular vesicles,the vesicles were lysed to release their content and the exosomal RNA was purified on the mini-columns,reverse transcription was performed,next pre-amplification,followed by a qPCR analysis for a panel of RESULTS To ensure exosomal RNA integrity,the harvested urine specimens should be shipped refrigerated,by overnight delivery.Urine can next be stored at the test site for up to 1 wk at 4°C,and long term should be frozen at-80°C.Urine specimens must be centrifuge at low G-force to deplete cells and debris,to ensure consistent top results in downstream molecular assays.All commonly used medications(tacrolimus,cyclosporin A,mycophenolic acid,everolimus,sirolimus,ascomycin,teriflunomide)were tested and confirmed that they do not cause assay interference.CONCLUSION mRNA from urine-derived exosomes was shown to be stable across a broad range of conditions and produced accurate results when analyzed via qPCR assay for detection of kidney allograft rejection.We identified the most optimal conditions for every step of the process,ensuring pre-analytical sample integrity and robust qPCR results.

井下断层活动的定量监测及其对冲击地压的影响研究

为建立断层活动与冲击地压之间的定量关系,实现煤矿冲击地压有效防控。通过理论分析义马矿区地质构造环境,以及耿村煤矿13200工作面与断层影响带的相对位置关系,研究了断裂构造对冲击地压的宏观控制作用。计算了井田构造应力并进行了构造应力区划分,分析了构造应力分区对冲击地压的控制作用。提出了井下断层活动性的定量监测方法,构建了“震源区煤岩体与动力核区尺度等量,震源能量随传递距离逐渐衰减”的模型,建立了大能量微震事件与断层活动的关系,确定了断层活动性对冲击地压的影响。研究结果表明:义马煤田内相对复杂的逆冲推覆构造体系,构成了义马矿区冲击地压的地质构造背景条件。F_(16)断层的影响带范围为7000~7600 m,13200工作面全部处于F_(16)断层的影响带内,在开采活动的影响下进一步增大了冲击地压的发生危险。Ⅰ-2断裂、Ⅲ-4断裂和Ⅳ-7断裂等控制的区域是冲击地压和大能量微震事件显现的主要区域,且冲击地压和大能量微震事件大多位于应力梯度区范围内。在大能量微震事件孕育和发生期间,F_(16)断层位移分别增长50 mm和45 mm;大能量微震事件发生前,断层活动拉力的增幅均相对最高,分别为2.58 kN和2.93 kN,断层位移量的快速增加和较高的应力增幅构成了大能量微震事件的主要能量来源。表明大能量微震事件和冲击地压的发生均与断层的活动联系紧密。井下断层的实际定量监测方法可以广泛应用于矿井冲击地压预测与防控的指导工作中。

水利测雨雷达的应用优势与挑战

监测近地面2 km以下“云中雨”的测雨雷达,是水利行业以流域为单元建设雨水情监测预报“第一道防线”的重要内容,也是实现洪水防御关口前移、防线外推的重要举措。总结了水利测雨雷达的发展历程和技术特点,评估了河北大清河流域和湖南捞刀河、浏阳河流域试点应用中测雨雷达对强降水监测的精度,阐述了水利测雨雷达在雨水情监测预警方面的技术优势,并对进一步发展水利测雨雷达监测系统提出了建议。

核应急航空辐射监测能力量化评估模型

为了更好地解决核应急救援航空辐射监测队伍能力评估指标中的不确定性、提高核应急航空辐射监测能力评估准确性,在构建评估指标体系的基础上,将层次分析法(AHP)与模糊综合评价法(FCE)有机结合,建立核应急航空辐射监测能力评估模型。该模型根据核应急航空辐射监测队伍应急准备、应急响应、应急救援、总结分析情况,综合各要素关键评估内容,形成了以核应急航空辐射监测能力为总目标,下设4项一级指标和16项二级指标的核应急航空辐射监测能力量化评估模型;通过AHP法计算指标权重,采用FCE法计算综合得分,实现对核应急航空辐射监测能力的综合量化评估。通过实例验证表明,AHP-FCE模型具有良好的适应性与合理性,为核应急救援航空辐射监测队伍能力评估提供参考。

Hydrologic Monitoring Plan of the Brazilian Water Producer/PCJ Project

Both Ecosystem-based Adaptation (EbA) and Payment for Ecosystem Services (PES) have a wide range of strategies that include different economic instruments for nature conservation. Although the generation and maintenance of payment for hydrologic ecosystem services (Water-PES) is expanding in Brazil, there are difficulties in the implementation of projects. Due to the complexity and non-linearity of the hydrological processes, also affecting both EbA and Water-PES goals, monitoring quali-quantitative aspects of streams have been here addressed as a useful management tool. This study presents the Hydrological Monitoring Plan (HMP) of the Water Producer/PCJ project, operating between 2009-2014, in order to: 1) evaluate the impact of project actions under water quali-quantitative aspects;and 2) promote the incorporation of HMP’s elements in water resources management. HMP of the Water Producer/PCJ project has been implemented following the conditions for efficiency (baseline, long-term scale compatible with the actions of the project, in the experimental and reference watersheds). In addition, HMP is being implemented from upstream to downstream in catchments with areas ranging from 17 to 130 km2. This proposal favors the quantification and valuation of hydrologic services that could be assessed by ecohydrologic monitoring and modeling. Thus, we look forward to the consolidation of the Brazilian information system of water resources, the reduction of modeling uncertainties and integrated assessment of the consequences of land-use/land-cover change that strongly impact goals of EbA and Water-PES initiatives.

网络球型摄像机瞬时视场的单点校正水位连续测量方法

基于网络球型摄像机进行洪水监测成为当今水利建设的热点之一,摄像机需进行旋转、焦距的放大与缩小等操作,才能在多视场进行流速、水位、流量一体化监测。由于摄像机传动装置制造的缺陷,在多视场切换时会出现预置点不能准确复位的问题而产生隙动差,这给从单张影像上解析水位、流速造成较大偏差,因此本文提出一种针对水位测量的隙动差校正方法。首先对预置点的水位尺进行精确标定,得到预置点水位方程参数,并在影像上选取两个特征明显的校正点;然后在连续监测中,将瞬时视场内校正点影像坐标按线性方法校正到预置点视场校正点;最后用预置点水位方程参数计算瞬时视场水位。经现场试验测试,不同瞬时视场校正点的影像坐标最大有8像素隙动差,产生水位误差达5 cm,而经本文方法计算的水位误差约为5 mm,说明本文方法对消减隙动差的影响是显著的。

基于量化评估策略的干预模式在穿支皮瓣术后微循环监测中的应用

目的:探讨基于量化评估策略的干预模式在穿支皮瓣术后微循环监测中的应用效果。方法:选择医院2022年6月—2023年10月行穿支皮瓣移植术的病人104例,观察组及对照组研究对象都来自同一治疗组医生术后的病人,采用病例回顾方法,对照组选取2022年6月—2023年3月病人50例,观察组选取2023年4月—10月病人54例。对照组实施常规护理干预,观察组开展基于量化评估策略的干预模式。观察并对比两组发现皮瓣血管危象时间、漏诊率、误判率和皮瓣存活率情况。结果:观察组发现皮瓣出现血管危象时间短于对照组,观察组误判率低于对照组,观察组误漏诊率低于对照组,观察组皮瓣存活率高于对照组,差异均有统计学意义(P<0.05)。结论:基于量化评估策略的干预模式应用于穿支皮瓣术后微循环监测可增强护理人员对穿支皮瓣术后血运观察的准确性,提高皮瓣抢救成活率,减轻病人痛苦,提高病人满意度。

基于DCS控制技术的造纸定量监测系统设计和实现

为实现对制浆造纸定量环节的自动化监测,提高造纸企业的自动化管理水平,基于抄纸工艺的一般流程和PID控制技术制订了一项水分定量解耦控制策略,并通过对角阵解耦法明确纸张定量控制策略的基本思路。在此基础上,基于纸机车速、上浆流量和上浆浓度3项指标来实现对纸张生产的定量管理,通过带有初始化功能的PSO算法对PID控制器进行参数整定。为实现上述算法的实地应用,基于SIMATIC S7-200 SMART可编程控制器建立了一套造纸定量监测DCS控制系统,并通过WinCC项目中的OPC驱动程序输入PID参数,最后运用Simulink完成数据交换。为验证该系统的有效性,在某造纸企业的造纸定量工序中随机提取了250个扫描点并输出相应的定量偏差曲线。经实际测量发现,该系统控制下的纸张定量波动处于±1g/m2的可接受范围内,实现了较为精准的定量检测。

矿山生态环境定量遥感监测与智能分析系统设计与实现

矿山生态环境监测与治理是国家生态文明建设和“双碳”目标下的重中之重,其信息化、智能化建设在新一代信息技术革命的助推下成为数字中国建设的重要一环,也是当下时代发展的必然趋势。然而,现有矿山生态环境监测系统仍然停留在单一专题、要素不全、基础量测、本地管理的初级阶段,无法满足现实环境中对矿山生态环境多要素、长时序、高频次监测与分析的需求。基于此,提出一种B/S架构下的矿山生态环境定量遥感监测与智能分析系统——矿山生态天眼,并详细介绍了其研发需求、技术架构、关键技术及核心功能。系统依托卫星遥感技术及其他监测手段,获取并聚合不同来源、信息丰富的矿山生态大数据,形成矿山分布一张图和数据资源服务;进而基于定量遥感反演矿山生态环境各生态参数,形成一套长时序、多要素的矿山生态监测产品,涵盖人类活动、自然地理条件和“植−土−水−气”各生态要素;在此基础上,系统提供GIS时空分析、统计分析及综合定量评价等工具集,分别实现对矿区土地利用、归一化植被指数(NDVI)等参数伴随采矿活动在空间上的变化监测,对土壤含水量、水体悬浮物浓度等生态要素历史统计值在不同时空位置和区域下的查询与可视化,对顾及多项生态因子的矿山生态环境质量综合定量评价,并最终形成矿山生态扰动与治理监测报告。矿山生态天眼的应用将服务于矿山生态环境全过程变化监测、数据管理、智能分析和决策应用,有望提高矿山生态环境监测与治理的效率和智能化水平,为推动生态文明信息化建设提供参考方案。