18. Water quality and pollution monitoring in Poole Harbour

2005 ◽  
pp. 219-222 ◽  
Author(s):  
Julian Wardlaw
Keyword(s):  
Water Quality ◽  
Pollution Monitoring

Impact of Lockdown on Health of the Yamuna river at Delhi Stretch, India

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
MANOJ KUMAR SHUKLA
Keyword(s):  
Water Quality ◽  
Industrial Waste ◽  
Quality Parameters ◽  
Domestic Sewage ◽  
Pollution Monitoring ◽  
Yamuna River ◽  
Industrial Pollutants ◽  
The Impact ◽  
Positive Effect

Present study points out the impact of Lockdown on the health of the Yamuna river at Delhi stretch by comparing prelockdown and Post-lockdown period by studying the reports of pollution monitoring agencies. Delhi segment of the Yamuna is highly polluted, where alongwith domestic sewage a huge quantity of industrial waste is being discharged continuously without proper treatment. Pre lockdown (March 2020) water quality parameters at three sampling stations named as Palla, Nizammuddin Bridge and Okhla barrage U/s in Delhi were, pH were 8.7, 7.3 and 7.2, DO were 17.1 mg/L, not detected in later two sites, BOD were 7.9 mg/L, 57 mg/L and 27 mg/L and COD were 28 mg/L, 90 mg/L and 95 mg/L respectively and postlockdown period (April 2020) the pH was 7.8, 7.2 and 7.1, DO was 8.3 mg/L, 2.4 mg/L and 1.2 mg/L BOD was 2 mg/L, 5.6 mg/ L and 6.1 mg/L and COD were 6 mg/L, 16 mg/L and 18 mg/L respectively. The study of these parameters at three sampling stations reveals that the lack of industrial pollutants discharging due to nationwide lockdown for COVID-19 pandemic had positive effect on water quality of this river. Water quality could be maintained by planned establishment of industries and setup of ETP with without gap between generation and treatment.

Development of regional coastal water quality standards in the Mediterranean

1995 ◽  
Vol 32 (9-10) ◽  
pp. 17-24 ◽  
Author(s):  
L. J. Saliba
Keyword(s):  
Water Quality ◽  
Mediterranean Sea ◽  
Coastal Water ◽  
Pollution Prevention ◽  
Pollution Monitoring ◽  
Technical Problems ◽  
Coastal Water Quality ◽  
The Mediterranean ◽  
Trained Manpower ◽  
The Impact

Under the terms of the 1976 Convention for the protection of the Mediterranean Sea against pollution, and the 1980 Protocol for the protection of the Mediterranean Sea against pollution from land-based sources, the coastal states of the region have to develop criteria and standards for various aspects of coastal water quality. These are being progressively developed within the framework of the Mediterranean Action Plan, specifically within the Long-term Programme of Pollution Monitoring and Research in the Mediterranean Sea (MED POL Phase II). The impact of specific Mediterranean ecological conditions on health and related risks arising from specific uses of the sea, in relation to those risks arising from the same types of water use in regions with different conditions, and the effects of such differences on quality requirements, are discussed. The current situation in the Mediterranean region regarding national and international legislation for ensuring coastal water quality is described, together with the normal procedures for regional assessments of the situation with regard to specific pollutants and the formulation of proposed measures. The legal and technical problems involved in (a) the actual preparation of criteria and standards combining ecological and health requirements with political acceptability and (b) their adoption by Mediterranean states are described. These problems essentially arise out of the heterogeneous character of the states bordering the Mediterranean Sea, especially regarding the state of existing infrastructures for pollution prevention and control, including the availability of trained manpower and technical facilities, the degreee of priority accorded to marine pollution within the overall framework of national requirements, the type of legal and administrative machinery for the enactment and enforcement of statutory provisions, and the implications of new or amended legislation vis-a-vis already-existing international obligations.

Design of Surface Water Pollution Monitoring and Discovery System using Internet of Things

2020 ◽  
Vol 52 (2) ◽  
pp. 05-07
Author(s):  
Novel Pokrovskii
Keyword(s):  
Water Quality ◽  
Water Contamination ◽  
Neural System ◽  
Pollution Monitoring ◽  
Test Results ◽  
Water Stream ◽  
Discovery System ◽  
Quality Framework ◽  
Monitoring And Discovery System ◽  
Different Sources

Water is one of the essential necessities and vital for supporting the personal satisfaction. Attributable to expanding pattern in global advancement, the nature of water is persistently flagging. Water contamination has been an expanding issue in the course of the most recent couple of years. Lakes and streams would those key wellsprings about drinking water, which stunningly depend on upon water individual fulfilment. For this reason, we recommend an IoT based water quality framework fit for estimating the nature of water. The proposed arrangement depends on WHO characterized water quality measurements. An installed model is created to proof the water superiority boundaries from the water tests gathered from different sources over the investigation zone. The goal of this water quality checking framework utilizing web of things is to locate the nature of the water for example how the pH content changes and sending message to the comparing specialists. Further we broaden this venture by sending the sensor information to cloud for worldwide checking of water quality. The handled information can be distantly observed and water stream can be controlled utilizing our created programming arrangement containing versatile application and a dashboard. Notwithstanding water superiority checking and manage framework, the prescient investigation of the gathered information is performed. AI calculations are applied for arrangement of water superiority and the test results demonstrate that profound neural system beats every other calculation.

scholarly journals Assessment of heavy metal and physico-chemical pollution loadings of River Benue water at Makurdi using water quality index (WQI) and multivariate statistics

2021 ◽  
Vol 11 (7) ◽  
Author(s):  
Raphael Terungwa Iwar ◽  
Joseph Terlumun Utsev ◽  
Martina Hassan
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Water Quality Index ◽  
Quality Index ◽  
Dry Season ◽  
Pollution Monitoring ◽  
Total Variance ◽  
Wet Season ◽  
Physico Chemical

AbstractIn this work, the quality of River Benue water at Makurdi was assessed for its heavy metal load alongside seven other physico-chemical parameters using water quality index (WQI) and multivariate statistical tools. A total of 45 samples from three (3) different points along the River course were collected for five months (October 2018–May, 2019) spanning the dry and wet seasons. Samples were analysed  in accordance with standard methods. Most of the parameters evaluated were found to fall in the allowable limits of the World Health Organization (WHO) among others, except for colour, turbidity, total suspended solids, nickel, lead and cadmium. WQI analysis using the BISWQI, OWQI and CCMEWQI indicated that all indexing methods were suitable for estimating the WQI of River Benue as they all showed that the water corresponded to the classification as “poor water”. Heavy metal index of the river ranged from13.40–6080.00 and from 47.07–7240.00 for the dry and wet seasons, respectively, and was majorly influenced by high cadmium and lead pollution levels. Principal component analysis (PCA) revealed three rotated factor with respective communality levels for both the dry and wet seasons. Factor 1 was positively loaded with nine parameters which accounted for 32.3% of the total variance during the dry season, while it was positively loaded with 10 parameters in the wet season accounting for 25.9% of total variance. Hierarchical cluster analysis (HCA) revealed that the river was zoned into four clusters each for both dry and wet seasons. Sampling points 2 and 3 were the most polluted during the dry season, while sampling point 1 was found to be the most polluted in the wet season. It was concluded that the increasing and diverse nature of anthropogenic activities on the river course was responsible for the deteriorating quality of the water. The study recommended continuous pollution monitoring and local regulations to reduce the entrance of both diffuse and point source pollution into the river.

Water Pollution Monitoring through Remote Sensing

2020 ◽  
Vol 16 ◽  
Author(s):  
Krishnamurthy Vallidevi ◽  
Kannappan P. Gopinath ◽  
Krishnan K. Nagarajan ◽  
D. Gnana Prakash ◽  
G. Sudhamsu ◽  
...  
Keyword(s):  
Water Pollution ◽  
Remote Sensing ◽  
Water Quality ◽  
Water Quality Monitoring ◽  
Pollution Monitoring ◽  
Geographical Information ◽  
Continuous Assessment ◽  
Remotely Sensed Data ◽  
Detection Techniques ◽  
Almost All

Background: Water is undoubtedly a very precious resource that helps life thrive on this planet, and its pollution is a problem which is potent of erasing almost all forms of life on earth. Hence, considering the magnitude of this problem, studies and experiments have been focused (from the day water pollution was recognised as an eminent issue) on monitoring and finding possible solutions for water pollution. While the latter deals with treating and purifying water using a variety of concepts, monitoring deals with the continuous assessment of water quality of a waterbody. Methodology: There are several methods for monitoring purposes, and remote sensing is a popular choice, thanks to its wide applicability and flexibility in implementation. Remote sensing basically deals with collecting data about a place (which is to be monitored) and sending the data to another ‘remote’ location for analysis. This article aims to provide a description of some methods employed in recent times for the purpose of remote sensing and a short section which deals with the analysis of the remotely sensed data using machine learning / deep learning models, hence making the reader aware of the concept of remote sensing and its scope for monitoring water pollution (or any form of pollution) in the future. Conclusions: The detailed comparative analysis of these methods showed that sensor based water quality monitoring with Geographical Information System (GIS) will be more efficient in detection of water pollutants. The further research in this field may introduce many advancements to enable efficient water pollution detection techniques.

The Design of Online Water Pollution Monitoring System for Poultry Rearing

2014 ◽  
Vol 898 ◽  
pp. 730-733
Author(s):  
Xiang Jie Niu ◽  
Yan E Duan ◽  
Hua Li
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Real Time ◽  
Monitoring System ◽  
Management Control ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Long Distance ◽  
Parameter Configuration ◽  
Long Time

This paper proposes the construction of real-time online water pollution monitoring system for poultry rearing which applies network nodes in the Wireless Sensor Network to monitor the water quality in the poultry rearing areas. The wireless packet communications technology and broadband services are used to transmit the data in long distance. The system can fulfill the functions of online real-time water quality inquire via Web, management control, data collection, and alert. The system software designs the Web network optimization protocols, system monitoring platform, long-distance parameter configuration, and driver programs. The simulation and experiment illustrate the system can achieve 100% successful communication rates. The access speeds in the networks are 5~8 times of those in traditional network. The wireless sensor networks and the long-time monitoring can work normally and reliably in which the speeds can meet the requirements for real-time monitoring. Its suitable for the online real-time water pollution monitoring in the poultry rearing areas.

scholarly journals Lower Danube Water Quality Quantified through WQI and Multivariate Analysis

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1305 ◽  
Author(s):  
Catalina Iticescu ◽  
Lucian P. Georgescu ◽  
Gabriel Murariu ◽  
Catalina Topa ◽  
Mihaela Timofti ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Oxygen Demand ◽  
International Standards ◽  
Danube River ◽  
Pollution Monitoring ◽  
Multivariate Techniques ◽  
Index Method

The aim of the present paper is to quantify water quality in the Lower Danube Region by using a series of multivariate techniques and the Water Quality Index (WQI). In this paper were measured 18 parameters upstream and downstream the city of Galati along the Danube River, namely: pH, Dissolved Oxygen (DO), Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), N-NH4+, N-NO2−, N-NO3−, N total, P-PO43−, SO42−, Cl−, Fe-total, Cr-total, Pb2+, Ni2+, Mn2+, Zn2+, As2+, in the interval winter 2013–winter 2016. The samples were either analyzed on the field, or sent for testing to the laboratory. The physicochemical parameters mentioned above were analyzed in accordance with the Romanian and International standards in force. The WQI was calculated according to Weighted Arithmetic Water Quality Index Method. The interdependencies between the selected physicochemical parameters were used for determining potential sources of pollution. Monitoring water quality dynamics in the period mentioned above favoured a series of relevant conclusions about the anthropic influence on water quality. Water quality was assessed by processing the measurements results, by calculating the water quality index (WQI), and by using the principal component analyses (PCA) and the response surface method (RSM) with the aim of correlating the indices for the physico-chemical parameters.

scholarly journals GEOECOLOGICAL STATE OF THE RIVER OKONKA BASIN AND ITS OPTIMIZATION

2021 ◽  
Vol 51 (2) ◽  
pp. 164-171
Author(s):  
Vasyl Fesiuk ◽  
Andrij Slusarchuk
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
Environmental Protection ◽  
River Basin ◽  
Pollution Monitoring ◽  
Anthropogenic Activity ◽  
Geological Condition ◽  
Protection Measures ◽  
Drainage Systems ◽  
The Impact

The impact of economic activity on the environment can best be traced in the scale of small river basins. One of such rivers is the Okonka River, which flows through the territory of the former Manevychi (Kamin-Kashyrskyi according to the new administrative-territorial structure) district. Among the environmental problems of the basin, the most acute are: surface water pollution due to runoff from agricultural fields, livestock farms, unauthorized landfills, etc. Improving the geo-ecological condition of the Okonka River basin on the basis of ecologically safe sustainable development is an urgent problem of the territory's development. The Okonka River Basin is one of the least explored regions of the Volyn Region. Materials from the Regional Office of Water Resources in Volyn Oblast, the Department of Ecology and Natural Resources of the Volyn Oblast State Administration, own expeditionary research, cartographic materials, electronic maps (Google Map, OpenStreetMap) and satellite images were used to prepare the publication. Also, more than 20 literature sources and electronic resources, laws and regulations of Ukraine in the field of rational use and protection of water resources were developed. The following methods were used during the research: collection and processing of archival, literary, graphic, cartographic and tabular material, regime quantitative and qualitative observations of river characteristics; field research of channel processes; mathematical and engineering calculations, mathematical modeling, analysis of anthropogenic impact on water resources of the studied region, constructive-geographical method and method of expert assessments. The natural conditions of the basin contribute to the settlement and development of the economy. Particularly favorable are the terrain, climate, inland waters. Within the basin there are 7 objects and territories of the nature reserve fund. The impact of anthropogenic activity on the river basin is quite significant. This is due to intensive agricultural and residential use, the development of drainage reclamation. The level of radiation pollution is assessed as "satisfactory", the use of land resources - "close to normal. The water quality of the Okonka River in the upper line (leak) is assessed by the second class of the third category (water is quite good in quality, quite clean in purity). The environmental index is 2.92. Environmental protection measures are proposed to improve the geoecological condition of the river basin. The complex of environmental protection measures should include: development of a local eco-network; creation of new and expansion of the network of existing nature reserves; improvement of the situation with waste management, elimination of spontaneous dumps; monitoring of soils to protect them from degradation and pollution; monitoring of surface waters in order to protect them from depletion and pollution; an inventory of drainage systems in order to establish the feasibility of further use in agricultural separate areas, the allocation of parts of the drainage systems that can be renaturalized in the future; prevention of peat and forest fires. Key words: river, river basin, geological condition of the river basin, geographical features of the basin, ecological assessment of river water quality, measures to improve the geoecological condition of the basin.

scholarly journals STUDY OF WATER POLLUTION EARLY WARNING FRAMEWORK BASED ON INTERNET OF THINGS

2016 ◽  
Vol XLI-B8 ◽  
pp. 335-338
Author(s):  
H. Chengfang ◽  
X. Xiao ◽  
S. Dingtao ◽  
C. Bo ◽  
W. Xiongfei
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Internet Of Things ◽  
Early Warning ◽  
High Speed ◽  
Water Quality Monitoring ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Monitoring Method ◽  
Application Systems

In recent years, with the increasing world environmental pollution happening, sudden water pollution incident has become more and more frequently in China. It has posed a serious threat to water safety of the people living in the water source area. Conventional water pollution monitoring method is manual periodic testing, it maybe miss the best time to find that pollution incident. This paper proposes a water pollution warning framework to change this state. On the basis of the Internet of things, we uses automatic water quality monitoring technology to realize monitoring. We calculate the monitoring data with water pollution model to judge whether the water pollution incident is happen or not. Water pollution warning framework is divided into three layers: terminal as the sensing layer, it with the deployment of the automatic water quality pollution monitoring sensor. The middle layer is the transfer network layer, data information implementation is based on GPRS wireless network transmission. The upper one is the application layer. With these application systems, early warning information of water pollution will realize the high-speed transmission between grassroots units and superior units. The paper finally gives an example that applying this pollution warning framework to water quality monitoring of Beijing, China, it greatly improves the speed of the pollution warning responding of Beijing.

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