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%.

Study on the Monitoring Malfunction of Water Pollution during Drought or Flood Period and Low-carbon and High-value Methodology--A Case Study of the Correlation Test of Water,Soil and Gas Pollution in Xiangxiang County

Based on the low-carbon and high-value methodology of chemical ecology and chemical informatics,combining theory and methods,taking saving,environmental protection,low carbon,high production,high value and circulation as values and aims,the relationship between human and land as a basis,ecosystem as a center,overall control as a goal and agricultural ecological engineering as a mean,environmental pollution detection,as one of bottlenecks for agricultural products and food security,should be solved firstly;through the field survey in dry years from 2009 to 2010 when drought and flood were frequent and the frequency of drought was higher than that of flood,plus the determination of surface water flow and water quantity in a small typical river basin,the correlation of local water,soil and gas in the county could be found,and the transfer of monitoring focus from water environment to atmospheric environment was possible and necessary.The study would promote the quantitative research on the correlation among water,soil and gas,and the results were in accordance with the conclusions of related studies.

About Some Aspects of Use of Optical Sensors for Monitoring the Aquatic Environment

Multi-channel polarization optical technology is increasingly used for prompt monitoring of water systems.Optical devices during the assessment of water quality determine the intensity of light through the studied aquatic environment.Spectrophotometric devices measure the spectrum of weakening of light through the aquatic environment.Spectroellipsometric devices receive spectra in vertical and horizontal polarizations.The presented article develops an adaptive optical hardware and image system for monitoring water bodies.The system is combined.It consists of 2 parts:1)automated spectrophotometer-refractometer,and 2)adaptive spectroellipsometer.The system is equipped with a corresponding algorithmic and software,including algorithms for identifying spectral curves,databases and knowledge of spectral curves algorithms for solving reverse problems.The presented system is original since it differs from modern foreign systems by a new method of spectrophotometric and spectroellipsometric measurements,an original elemental base of polarization optics and a comprehensive mathematical approach to assessing the quality of a water body.There are no rotating polarization elements in the system.Therefore,this makes it possible to increase the signal-to-noise ratio and,as a result,improve measurement stability and simplify multichannel spectrophotometers and spectroellipsometers.The proposed system can be used in various water systems where it is necessary to assess water quality or identify the presence of a certain set of chemical elements.

Suitability and Sustainability of Rainwater QualityMonitoring System in Cistern for Domestic Use

Rainwater harvesting(RWH)systems have been the source of domestic water for many years and still becoming essential in many communities of developing countries.However,due to various reasons,there are several sources of contamination in the rainwater cistern systems.Dissolved chemicals from the roofing,storage,and conveyance materials,together with the suspended particulate matter from the airborne,are examples of water contamination.In this work,the water quality monitoring system has been designed and implemented.Chemical and physical parameters of water samples were collected from three locations using a data acquisition(DAQ)system and rainwater quality was analyzed using Water Pollution Index(WPI).Results obtained from three locations have been presented.

Indoor Air Quality Real-Time Monitoring Results of Pathology Department

In this work, the objectives were to provide a scientific basis for environmental governance and to ensure staff health by real-time monitoring of indoor air quality of the pathology department. Using eagle eye environment monitor to make a real-time dynamic monitoring of the air quality of the pathological technical room for 30 days, the paper records the monitoring data of PM 2.5, PM 10, formaldehyde, CO2, total volatile organic compounds (TVOC) every day at Beijing time 3 a.m, 10 am, 1 pm, 4 pm, and 10 pm, and makes a summarization and analysis. The average value of CO2 concentration of the 5 time points is (0.05 ± 0.01)%, and each time point concentration are different (P 0.05);the average TVOC concentration of the 5 time points is (0.08 + 0.31) mg/m3. They are all different between the concentration at each time point (P 2 and NO are not checked out. Through the real-time online monitoring of the pathology room, we find that the formaldehyde concentration of different time periods is far more than the safety value standard, and the concentration of formaldehyde, CO2, PM 2.5, PM 10 and total volatile organic compound (TVOC) is different at different time periods, and the concentrations at working time are higher than the non-working time. We must take effective measures to control the concentration of harmful gases in order to ensure the staff’s health.

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.

A Study on Water Quality Monitoring in Urban Watercourse of Xinli River in Binzhou City

This paper aims to explore the pH,COD,ammonia nitrogen,total nitrogen,total phosphorus and other indices regarding Xinli River water in Binzhou City.The results show that the pH of the water quality index is between 7.3 and 7.8,slightly alkaline;the COD content of Xinli River is about 140-163 mg/L,and the COD pollution is serious in some water sections;the ammonia nitrogen content of Xinli River is 0.2-2.17 mg/L,the total nitrogen content is about 0.799-1.3 mg/L,the total phosphorus content is about 0.54-0.92 mg/L,suggesting that the water eutrophication is very serious.Due to the large amount of domestic sewage discharged into Xinli River without treatment,slow circulation of river water and other factors,the eutrophication is serious in the urban watercourse.

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.

Monitoring Recreational Waters: How to Integrate Environmental Determinants

Recreational waters are associated with a higher risk of disease for people engaged in activities that bring them into contact with these waters. The primary cause of contamination of recreational waters is fecal microorganisms, which may originate from various sources and involve several modulating factors, making it a complex public health and en- vironmental issue. Monitoring recreational water quality should include two key components: Microbial water testing and monitoring environmental determinants associated with higher risks of contamination. Conducting both activities provides the foundation for a comprehensive assessment according to risk and the actual level of fecal pollution and thus could promote good management actions to ensure safe water quality. Nevertheless, monitoring of environmental determinants is rarely fully integrated in monitoring programs and is also harder to achieve, especially when water pol- lution is mainly associated with nonpoint sources. In order to achieve identification and monitoring of environmental determinants associated with fecal contamination of recreational waters, some specific steps should be followed and some questions must be answered. The objective of this review article is to present current knowledge on this topic and to suggest and discuss recommendations. Potential sources of contamination and factors able to modulate them should be identified and measured after the geographical area influencing fecal contamination of recreational water has been delineated. Statistical models have been developed to identify the relative importance of these environmental characteristics on fecal pollution of recreational waters but they do not allow for a full comprehension of the exact processes leading to this pollution, thus other methods should also be used to better understand these processes.

Using GIS to Improve Monitoring of Water Quality in EI-Assi River

Lebanon, the water tower, occupies 15 permanent watercourses, i.e., rivers, locally the so-called ＂Naher＂. Likewise most of the Lebanese rivers, EI-Assi River or the Orontes River is witnessing indicatives of pollution. While it represents a vital vein in north of the Bekaa valley, a spectrum of pollutant sources is known to increase this geo-environmental problem. Hence, this study aims to give first-hand information on the parameters involved in the pollution problem, as a concept figure for further deal. Certainly, its objective is to end up with thematic maps pointing out to suitable localities for monitoring activities on the river tributaries.

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.

Factors Controlling Bioindicators For Industrial Pollution Detection

This study describes the use of algae as potential bioindicators of pollution containing industrial metals. Phytoplanktonic algae varied with waste type and with environmental and growth conditions.In water samples containing cermic waste Euglenophyta species and Cyclotella sp. (Bacillariophyta) were determined as potential indicator species of pollution, while in sample containing metallic waste, Cyclolella sp. was most dominant. Under laboratory growth conditions, phytoplankton collected from a major stream of the Nile River were cultivated by using Algal Growth Bottle Test (EPA, 1972). This revealed that Scensdesmus sp., Actinastrum hantzschii (Chlorophyta), Oscillatoria limneica (Cyanophyta) and Nitzschia linearis (Bacilldriophyta) were also poential indicators of pollution.

欧美新污染物监测进展及启示

新污染物监测是新污染物环境和健康风险评估及管控的重要基础。欧美发达国家环保部门在20世纪70年代就开展了新污染物监测工作,并且2000年后形成了相应的监测制度,而我国新污染物监测工作正处于业务化起步阶段。通过深入调研欧美国家水中新污染物监测为主的发展历程、监测清单、监测要求等内容,总结出3个特点:建立动态更新的新污染物清单监测机制;将规范的新污染物监测方法作为开展监测的重要前提;充分考虑监测可行性和经济成本。结合我国现阶段新污染物监管需求及监测现状,提出我国新污染物监测工作的3点建议:明晰国家、地方新污染物监测的职责分工,建立优先监测新污染物清单动态更新机制;加强新污染物监测能力建设,建立新污染物监测标准体系;循序渐进开展新污染物监测,注重监测的可行性和可持续性。

面向突发性水污染事件的多传感器动态组网立体监测

针对突发性水污染事件应急监测和智能模拟分析需求,研究了多传感器立体协同监测模型,建立了突发性水污染事件的时间、空间属性和传感器观测性能之间的相关关系,实现了卫星、无人机、地面、水上平台的动态、协同组网。在丹江口库区开展了突发性水污染事件动态组网立体监测实验分析,根据水污染事件发生时、动态演变过程中和事件后期3个阶段的不同观测需求,基于多传感器立体协同监测模型,深入开展了多传感器协同优化求解,确定了相应的观测平台及传感器。实验结果表明,协同、高效的“天空地一体化”立体感知网能够全面、精准、快速获取水污染事件监测信息,可以科学支撑突发性水污染事件的应急处置。

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.

大数据时代水污染监测及防治探讨

大数据和人工智能将是新时期高质量社会发展和生态文明建设的新动能。将大数据和人工智能技术应用于水污染监测及防治工作,高度重视大数据和人工智能的使用,在水污染监测数据的生产采集、存储、管理、共享、服务及大数据分析和决策等方面,充分利用互联网、物联网、视频监控、AI图像识别、卫星遥感、无人机等先进技术及手段,打破“信息孤岛”,形成数据联动,通过大数据和人工智能分析和决策为水污染监测及防治和水资源环境保护提供科学支撑,助力我国新时期生态文明建设。

运河桐乡段水质变化特征及污染原因分析

京杭大运河是我国南北水上交通运输枢纽,运河桐乡段位于京杭大运河最上游,是桐乡市集中饮用水源。运河桐乡段各控制断面虽然年均水质能够稳定达标,但是月度监测有时出现低溶解氧(DO)或总磷(TP)超标的情况。本研究于2020年5月(平水期)、2020年6月(丰水期)、2020年12月(枯水期)对运河桐乡段干流开展了3次水质加密监测,研究了常规水质指标的时空变化规律。简要分析了运河桐乡段水体低溶解氧和总磷超标的原因。结果显示,影响DO达标的重点控制区域为大麻渡口来水、监测点11~13段;影响TP达标的重点控制区域为监测点5~7段、监测点8~9段、监测点18~24段。水体DO浓度下降受上游来水影响较大,桐乡运河TP污染主要来自于桐乡自身。

现代化萃取技术在水环境监测中的应用研究

水环境监测中,快速溶剂萃取技术具备所需溶剂少、萃取率高、损耗时间短等显著应用优势,是一种典型的样品前处理技术。基于此,就该项技术的作用机理、工艺流程以及应用范围进行分析,并对其实践应用前景进行深入研究,以期促进该技术的进一步发展应用。

江苏省船舶污染对饮用水源地的影响及对策研究

通过分析污染物来源以及污染物对饮用水源地可能造成的影响,总结当前监测与管理措施的有效性,并提出未来的研究方向和可能的解决方案。旨在通过实地调查与数据总结,为大众提供一个全方位的视角,并为江苏省乃至全国的船舶污染防治工作提供参考。

基于水质监测和污染源在线监控数据的地表水河流断面污染溯源分析系统设计与实现

本文介绍了基于水质监测和污染源在线监控数据的地表水河流断面污染溯源分析系统设计与实现的研究背景与意义、系统架构、关键技术、系统设计与实现.基于水质监测和污染源在线监控数据的地表水河流断面污染溯源分析系统主要包括超标断面地图分布、超标断面综合分析、超标排放分析、趋势分析、总量预警、影响分析、断面档案信息查询等内容。