Construction of multi-factor identification model for real-time monitoring and early warning of mine water inrush

As a new technical means that can detect abnormal signs of water inrush in advance and give an early warning,the automatic monitoring and early warning of water inrush in mines has been widely valued in recent years.Due to the many factors affecting water inrush and the complicated water inrush mechanism,many factors close to water inrush may have precursory abnormal changes.At present,the existing monitoring and early warning system mainly uses a few monitoring indicators such as groundwater level,water influx,and temperature,and performs water inrush early warning through the abnormal change of a single factor.However,there are relatively few multi-factor comprehensive early warning identification models.Based on the analysis of the abnormal changes of precursor factors in multiple water inrush cases,11 measurable and effective indicators including groundwater flow field,hydrochemical field and temperature field are proposed.Finally,taking Hengyuan coal mine as an example,6 indicators with long-term monitoring data sequences were selected to establish a single-index hierarchical early-warning recognition model,a multi-factor linear recognition model,and a comprehensive intelligent early-warning recognition model.The results show that the correct rate of early warning can reach 95.2%.

Design on Vibration Monitoring and Fault Diagnosis System of Large Water Pump Motor

Large water pump motor,whose operation decides the reliability of the whole production line,plays a very important role.Therefore,its online condition monitoring can help companies better know its operation,process fault analysis and protection.The essay mainly studies and designs large water pump motor′s real time vibration monitoring and fault diagnosis system.The essay completes the systems project design,the establishment of the system and performance test.Eddy-currentsensor,XM-120 vibration module,XM-320 axial translation module,XM-362 temperature module,XM-360 process amount module and XM-500 gateway module are used to measure the axial vibration and displacement of main motors.Laboratory tests prove that the system can meet the requirements of motor vibration monitoring.

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.

Efficient Approach for Monitoring and Controlling Water Parameters Utilizing Integrated Treatment Based on WSNs

Research works of Wireless Sensor Networks (WSNs) applications and its constraints solutions occupy wide area around the world and attract many researchers. In this paper, an important one of environmental WSN applications is presented that is the water monitoring applications. An efficient approach for monitoring and controlling water parameters in real-time is implemented utilizing merging between WSN and designed simple workstation. For implementation simplicity, two water parameters (pH and temperature) are monitored and controlled in the proposed approach. Most of past work of water monitoring presented different proposed monitoring scenarios for different water parameters only. This research work utilizes the concept of interactive WSN nodes. The interactive nodes interact with the monitored water parameters to control its value. In the base station, the collected data is analyzed and the real-time value of the monitored parameters appears on the designed Graphic User Interface (GUI). The GUI is designed using the Matlab program. Through the GUI, the operator can switch the control between automatic and manual. ZigBee module is used for implementing the wireless communications between the nodes and the workstation. Due to the cost and simplicity, two sensors only are used in the proposed approach. Different real-time experiments are performed to test and measure the effectiveness and performance of the presented approach. These experiments reveal that the presented approach is effective for water treatment and efficient more than the past proposed water monitoring scenarios.

An IoT-Based Aquaculture Monitoring System Using Firebase

Indonesia is a producer in the fisheries sector,with production reaching 14.8 million tons in 2022.The production potential of the fisheries sector can be optimally optimized through aquaculture management.One of the most important issues in aquaculture management is how to efficiently control the fish pond water conditions.IoT technology can be applied to support a fish pond aquaculture monitoring system,especially for catfish species(Siluriformes),in real-time and remotely.One of the technologies that can provide this convenience is the IoT.The problem of this study is how to integrate IoT devices with Firebase’s cloud data system to provide reliable and precise data,which makes it easy for fish cultivators to monitor fishpond conditions in real time and remotely.The IoT aquaculture fishpond monitoring use 3 parameters:(1)water temperature;(2)pHwater level;and(3)turbidity level of pond water.IoT devices use temperature sensors,pH sensors,and turbidity sensors,which are integrated with a microcontroller and Wi-Fi module.Data from sensor readings are sent to the Firebase cloud via theWi-Fi module so that it can be accessed in real time by end users with an Androidbased mobile app.The findings are(1)the IoT-based aquaculture monitoring system device has a low error rate in measuring temprature,pH,and turbidity with a percentage of 1.75%,1.94% and 9.78%,respectively.Overall,the total average error of the three components is 4.49%;(2)in cost analysis,IoT-based has a cost-effectiveness of 94.21% compared to labor costs.An IoT-based aquaculture monitoring system using Firebase can be effectively used as a technology for monitoring fish pond conditions in real-time and remotely for fish cultivators that contribute to providing an IoT-based aquaculture monitoring system that produces valid data,is precise,is easy to implement,and is a low-cost system.

Real-time remote monitoring system for aquaculture water quality

A multi-parameters monitoring system based on wireless network was set up to achieve remote real-time monitoring of aquaculture water quality,in order to improve the quality of aquaculture products and solve such problems as being difficult in wiring and high costs in current monitoring system.In the system solar cells and lithium cells were used for power supply.The YCS-2000 dissolved oxygen sensor,pH electrode,Pt1000 temperature sensor and ammonia nitrogen sensor were used to monitor the parameters of aquaculture water quality;STM32F103 chip was used for data processing;Zigbee and GPRS modules were used for data transmission to the remote monitoring center,where the data were stored and displayed.The system was connected with aerator to realize automatic control of dissolved oxygen concentration.The test results showed high confidence level of data transmission with a packet loss rate of 0.43%.Therefore,the system could fulfill the real-time remote monitoring of aquaculture water quality and had great practical significance in reduction of labor intensity,improvement of quality of aquatic products and protection of water environment.

Optimization of DNA Staining Technology for Development of Autonomous Microbe Sensor for Injection Seawater Systems

Microbial activity in the water injection system in oil and gas industry leads to an array of challenges, including biofouling, injectivity loss, reservoir plugging, and microbiologically influenced corrosion (MIC). An effective mitigation strategy requires online and real-time monitoring of microbial activity and growth in the system so that the operators can apply and adjust counter-measures quickly and properly. The previous study [1] identified DNA staining technology-with PicoGreen and SYBR Green dyes—as a very promising method for automated, online determination of microbial cell abundance in the vast Saudi Aramco injection seawater systems. This study evaluated DNA staining technology on detection limit, automation potential, and temperature stability for the construction of automated sensor prototype. DNA staining with SYBR Green dye was determined to be better suited for online and real-time monitoring of microbial activity in the Saudi Aramco seawater systems. SYBR Green staining does not require sample pre-treatment, and the fluorescence signal intensity is more stable at elevated temperatures up to 30℃. The lower detection limit of 2 × 103/ml was achieved under the optimized conditions, which is sufficient to detect microbial numbers in Saudi Aramco injection seawater. Finally, the requirements for design and construction of SYBR-based automated sensor prototype were determined.

An Analysis of the Value of Additional Information Provided by Water Quality Measurement Network

European Community policy concerning water is placing increasing demands on the acquisition of information about the quality of aquatic environments. The cost of this information has led to a reflection on the rationalization of monitoring networks and, therefore, on the economic value of information produced by these networks. The aim of this article is to contribute to this reflection. To do so, we used the Bayesian framework to define the value of additional information in relation to the following three parameters: initial assumptions (prior probabilities) on the states of nature, costs linked to a poor decision (error costs) and accuracy of additional information. We then analyzed the impact of these parameters on this value, particularly the combined role of prior probabilities and error costs that increased or decreased the value of information depending on the initial uncertainty level. We then illustrated the results using a case study of a stream in the Bas-Rhin department in France.

基于时序遥感影像的骆马湖水资源调查与分析

自然资源不仅是发展之基、生态之源、民生之本,更是推进美丽中国建设和深化生态文明体制改革的核心载体,同时也是重要的资源性资产。本文旨在探讨宿迁市湖滨新区骆马湖水资源的调查监测,并以自然资源调查监测为背景,采用遥感技术作为主要手段进行水资源调查。研究通过获取骆马湖范围内的Sentinel-2遥感影像数据,对骆马湖水体的空间分布、变化趋势进行综合分析。同时,本文还探讨了遥感技术在水资源调查中的应用价值和优势。研究结果表明,骆马湖的水资源状况有着一定变化和挑战。本研究的意义在于通过遥感手段探讨了积水频率识别和积水范围提取,为水资源调查监测提供了一种快速、高效的手段。此外,针对骆马湖水资源调查监测的研究成果也为其他类似区域的水资源管理和保护提供了借鉴和参考。这对于推动水资源的可持续利用和提高区域生态环境质量具有重要意义。

多参数云传感器系统在水质监测中的应用

针对饮用水管道中水质传感器表面污垢导致无线传感网络检测数据不准确的问题,设计了一种内置微型污垢监测器的多参数传感器系统。通过测量管道中的薄层沉积物,估算污垢的厚度和类型,利用算法分析实现了预警、预测性维护和更高效的管理流程,并在供水网络中实施为期两个月的实验验证。实证结果表明,此方案鲁棒性高、成本低,具有实用性。

黄河三角洲生态需水量计算及补水方案分析

黄河三角洲河-海-陆交互形成了独特的地理环境,但其水资源不足,供需矛盾突出,土地盐渍化形势严峻,盐碱地分布广且数量多,严重影响了当地的生态环境。选取黄河三角洲四个生态区域:黄河现行流路(自然保护区)生态区域、刁口河流路生态区域、黄河以北(除刁口河流路区域)生态区域和黄河以南生态区域,根据《河湖生态需水评估导则》及水量平衡方法计算得出四个区域的生态需水量。根据因地制宜、可持续发展原则,部署了具有针对性的区域生态补水方案,并提出后期监测评估工作和补水保障措施,可为改善黄河三角洲地区水资源、水环境,缓解湿地退化,避免生态系统破坏等起到重要的支撑作用,同时也为其他类似区域依靠水网工程改善生态环境提供了参考。

Emerging pollutants in the environment:A challenge for water resource management

A significant number of emerging pollutants(EPs)resulting from point and diffuse pollution is present in the aquatic environment.These are chemicals that are not commonly monitored but have the potential to enter the environment and cause adverse ecological and human health effects.According to the NORMAN network,at least 700 substances categorized into 20 classes,have been identified in the European aquatic environment.In light of their potential impact action is urgently required.In this study,we present a concept that shows the current state of art and challenges for monitoring programs,fate and risk assessment tools and requirements for policies with respect to emerging pollutants as a base for sustainable water resource management.Currently,methods for sampling and analysis are not harmonized,being typically focused on certain EP classes.For a number of known highly hazardous EPs detection limits are too high to allow proper risk assessment.For other EPs such as microplastics method development is in its infancy.Advanced ultra-sensitive instrumental techniques should be used for quantitative determination of prioritized EPs in water,suspended matter,soil and biota.Data on EPs'and their metabolites'properties that determine their fate in the environment are often not available.National surveys on water quality often use different parameters for water quality assessment and often do not include EPs.A harmonized monitoring of surface and groundwater is not yet achieved and urgently required.Specific component integrated into models assessing the fate of EPs in a multi compartment environmental approach are missing and must be developed.The main goal of risk assessment is the overall protection of ecological communities in the aquatic environment and human health.New methods for assessing the cumulative risks from combined exposures to several stressors,including mixtures of EPs in a multi-scale approach are required.A combination of regulations and management measures with respect to use/emissions of EPs into the environment,as well as to their occurrence in the environment are fundamental to reach an efficient water resource management.

基于卫星遥感影像的水资源监测研究进展

卫星遥感技术可在影像空间监测水资源的时空分布,为分析水资源空间分布及其变化规律提供全覆盖、定量化和快速更新的基础信息。对基于卫星遥感影像数据的地表水资源、地下水资源监测研究进展进行综述,分析了卫星遥感影像监测存在的挑战和潜在的研究方向,以期为相关领域研究应用提供参考。

新疆和田河流域生态输水效益评估

开展生态输水效益评估,对于指导水资源精细化管理与高效利用及生态精准修复具有重要指导意义。该文基于植被调查和遥感监测等数据,客观评估了和田河流域近五年来的生态输水效益,结果表明:生态输水淹灌面积达28.87万亩,影响面积38.4万亩;基于GRACE重力卫星数据计算得到地下水储量增长在20 mm以上;胡杨幼苗大量萌发,林龄结构优化,个体长势好转,植被覆盖度提升;遥感生态指数RSEI提升41.18%,生态等级状况为差的区域减少2.949万亩(12.69%),生态等级状况为优的区域增加0.02万亩(65.89%);生态输水过程中存在着监测评价体系不完善、输水靶向不精准等问题。研究成果对于指导干旱区生态输水精准化、科学化工作提供了重要指导,也为类似地区开展生态修复效益评估提供了借鉴。

5G物联网技术在取水口计量数据监控中的应用

本文探讨了5G物联网技术在取水口计量数据监控中的应用,并介绍了DYWCIot-5G物联网遥测终端系统的主要功能和工作原理。该系统可以实现监测数据的实时采集与共享,通过5G物联网提高取水口监测效率和水平。物联网技术的应用可以帮助水资源管理部门整合利用数据,更好地评估水资源状况,为决策提供依据,从而提高水资源管理效率,为我国建设节水型社会奠定基础。

基于国产遥感卫星影像的干旱地区地表水资源遥感监测应用

如何利用卫星数据对特征复杂的水资源进行时空维度上的监测是关乎民生和农、林、畜牧业可持续发展的一项重要研究内容。本文依托高分辨率国产遥感卫星影像数据,结合专题资料,设计监测技术流程,对我国西部干旱地区4个试验区的地表水资源进行了全面的空间信息提取和变化监测,形成了监测数据库、统计分析报告和相关图件等成果,以期为相关部门建设和决策提供数据支撑。

遥感技术在沙漠化防治中的应用

本文介绍了沙漠化的主要特征及对环境和社会的影响;分析了沙漠化监测与防治方法的优劣势;在此基础上分析了遥感技术在沙漠化研究中的应用,包括遥感数据的获取、处理方法及其应用,重点讨论了遥感技术在土地退化监测、植被恢复和水资源管理等方面的应用;探讨了遥感技术在沙漠化监测和防治领域未来的研究方向和面临的挑战。旨在通过探讨当代遥感技术在沙漠化防治中的研究应用,为促进沙漠化防治工作的进一步发展和完善提供参考。

基于KingSCADA软件在闸站远程自动控制系统的开发与应用

鄂北地区水资源配置工程是在不影响南水北调中线工程调水规模和过程的前提下,解决鄂北地区水资源短缺问题,满足鄂北受水区生活、生产以及生态用水需求,促进鄂北地区经济社会可持续发展的战略性基础工程。该文介绍了针对该闸站远程自动控制系统的建设难点、问题分析及相对应的解决方案与架构设计介绍,并从软硬件架构层面论述了如何实现水资源配置工程上各个闸站的实时监控、远程控制,进而实现水资源的远程水量调度、用水管理以及用水分析等功能。

引调水工程受水区水污染防治关键技术研究

建立科学、合理、可行的引调水工程受水区水污染防治关键技术体系对解决引调水工程受水区水污染防治问题至关重要。以环北部湾广东水资源配置工程受水区为例,在统筹考虑受水区河流水系分布、水环境现状、水污染防治形势等因素的基础上,以控制单元为抓手,以水功能区水质达标与污染物入河总量可控为底线,以污染防治措施为手段,以“天空地一体化”水环境监测体系和水环境风险应急处置系统为保障,通过科学核算控制单元水域纳污能力,合理制定污染物排放控制总量方案,建立了“抓手+底线+方法+手段+保障”五位一体的引调水工程受水区水污染防治关键技术体系。结果表明:该技术体系科学、合理,具备较强的指导性和可操作性,通过抓手、底线、方法、手段、保障等5项关键技术的应用,可有效解决引调水工程受水区的水污染问题,实现“增水不增污”的目标。在全面落实170项水污染防治规划措施、完善水环境风险应急处置系统的基础上,环北部湾广东水资源配置工程建成通水后,2035年工程受水区废污水入河量虽较现状增加了183.22%,但污染物COD、氨氮、总磷入河量较现状均有减少,减幅分别为13.2%,61.7%,77.5%。研究成果可从关键技术体系的视角为管理决策者提供指导,可为引调水工程受水区水污染防治工作提供参考。

水文水资源监测数据自动化整编技术研究

文章深入探讨了水文水资源监测数据的自动化整编技术,旨在强调现代科技在处理、解析和预测复杂水文数据中的关键作用。研究首先回顾了传统的数据整编方法,并对其在处理大规模和多源数据时的局限性进行了分析。随后,论文重点介绍了几种现代自动化技术,如机器学习、深度学习、大数据技术、云计算和边缘计算,并深入探讨了在数据整编中的应用,提高了数据处理的效率和准确性,还为更好的决策支持和实时响应提供了可行性。