scholarly journals Assessment of physical, chemical and dissolved trace metals parameters of marine water quality in East Malaysia’s port

2021 ◽  
Vol 4 (1) ◽  
pp. 50
Author(s):  
Wan Nur Fazlina Abdol Jani ◽  
Fatihah Suja’ ◽  
Firdaus Mohamad Hamzah ◽  
Shahrom Md Zain
Keyword(s):  
Water Quality ◽  
Trace Metal ◽  
Marine Pollution ◽  
Water Quality Monitoring ◽  
Ammonia Nitrogen ◽  
Marine Water ◽  
Quality Analysis ◽  
Monitoring And Control ◽  
Oil And Grease ◽  
Metal Concentrations

A port is an important national asset that needs to be carefully protected. Ports should be maintained to preserve both public health and the natural environment. This study focused on determining the status of a port in Peninsular Malaysia based on water quality analysis. Marine water samples in the port were collected from eight sampling locations. Fifteen physical and chemical parameters and trace metal concentrations were measured in-situ and in a laboratory using standard methods. The ranges of the results were as follows; 26.6–32.2 °C for temperature, 7.2–9.5 for pH, 7.18–8.55 mg/L for DO, 6.27–423.33 NTU for turbidity, 41–751 mg/L for TSS, 1.1–10.5 mg/L for BOD5, 57–2791 mg/L for COD, 6.00–679.50 mg/L for O&G, and 0.17–7.28 mg/L for NH3-N. The trace metal concentrations were as follows; 0.000–0.080 mg/L for Al, 0.000–0.048 mg/L for Cr, 0.001–0.197 mg/L for Cu, 0.002-0.821 mg/L for Fe, 0–0.038 mg/L for Ni, and 0.001– 0.068 mg/L for Zn. The parameters of total suspended solid, chemical oxygen demand, oil and grease, ammonia-nitrogen and Cu were mostly unacceptable in terms of water quality and sources of pollution. It stemmed from the phenomenon of the tides, port activities and the diversity of shipload, effects of antifouling ship, sewage and stormwater runoff are the main contributors of marine pollution. Therefore, water quality monitoring and control of the release of untreated organic and dissolved metal wastes into marine waters are greatly needed.

scholarly journals Research on Water Quality Simulation and Water Environmental Capacity in Lushui River Based on WASP Model

Water ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 2819
Author(s):  
Nicolas Obin ◽  
Hongni Tao ◽  
Fei Ge ◽  
Xingwang Liu
Keyword(s):  
Water Quality ◽  
Yangtze River ◽  
Orthogonal Design ◽  
Oxygen Demand ◽  
Water Quality Monitoring ◽  
Ammonia Nitrogen ◽  
Quality Analysis ◽  
Environmental Capacity ◽  
Water Quality Prediction ◽  
Water Environmental Capacity

In recent years, the severe deterioration of water quality and eutrophication in the Yangtze River has brought much trouble to people’s lives. Because of this, numerous management departments have paid more and more attention to the treatment of the water environment. In order to respond to water environmental protection policy and provide management departments with a basis for refining water quality, this paper takes the Zhuzhou section of Yangtze River-Lushui watershed as its research object. First, we used the Water Quality Analysis Simulation Program (WASP) model as a tool, and obtained the pollution load using the FLUX method formula. During the calibration process, the sensitivity analysis method, the orthogonal design method, and the trial and error method were used. Then, we verified the results by using water quality monitoring data published by Zhuzhou Ecological Environment Bureau. Following that, the water environmental capacity of the Lushui River in normal, wet and dry periods was calculated using the WASP model: the chemical oxygen demand (COD) was 14,072.94 tons/yr, 17,147.7 tons/yr and 10,998.18 tons/yr, respectively; ammonia nitrogen (AN) was 469.098 tons/yr, 571.59 tons/yr and 366.606 tons/yr, respectively; and total phosphorus (TP) was 93.8196 tons/yr, 114.318 tons/yr and 73.3212 tons/yr, respectively. The results show that the WASP model is applicable and reliable and can be used as an effective tool for water quality prediction and management in this area.

scholarly journals IoT for Monitoring and Control of Water Quality Parameters

2020 ◽  
Vol 14 (16) ◽  
pp. 4
Author(s):  
Fouzi Lezzar ◽  
Djamel Benmerzoug ◽  
Ilham Kitouni
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Monitoring And Control ◽  
Cloud Processing ◽  
Data Collection Process ◽  
Standard Values ◽  
Processing And Storage ◽  
And Control

<p class="0abstract"><span lang="EN-US">This work presents an Internet of Things (IoT) solution to facilitate real time water quality monitoring by enabling the management of collected data from electronic sensors. Firstly, we present in detail problems encountered during the used data collection process. We discuss after the requirements from the water monitoring quality standpoint, data acquisition, cloud processing and data visualization to the end user. We designed a solution to minimize technicians’ visits to isolated water tower, we designed sensors achieving a lifespan of several years. The solution will be capable of scaling the processing and storage resources. This combination of technologies can cope with different types of environments. The system also provides a notification to a remote user, when there is a non-conformity of water quality parameters with the pre-defined set of standard values.</span></p>

scholarly journals Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Prasad M. Pujar ◽  
Harish H. Kenchannavar ◽  
Raviraj M. Kulkarni ◽  
Umakant P. Kulkarni
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Real Time ◽  
River Basin ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Quality Analysis ◽  
Water Quality Analysis

AbstractIn this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoT-based water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.

scholarly journals Intelligent Wide-Area Water Quality Monitoring and Analysis System Exploiting Unmanned Surface Vehicles and Ensemble Learning

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 681 ◽  
Author(s):  
Huiru Cao ◽  
Zhongwei Guo ◽  
Shian Wang ◽  
Haixiu Cheng ◽  
Choujun Zhan
Keyword(s):  
Water Quality ◽  
Monitoring System ◽  
Ensemble Learning ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Wide Area ◽  
Quality Analysis ◽  
Water Quality Analysis ◽  
Analysis Algorithm ◽  
Analysis System

Water environment pollution is an acute problem, especially in developing countries, so water quality monitoring is crucial for water protection. This paper presents an intelligent three-dimensional wide-area water quality monitoring and online analysis system. The proposed system is composed of an automatic cruise intelligent unmanned surface vehicle (USV), a water quality monitoring system (WQMS), and a water quality analysis algorithm. An automatic positioning cruising system is constructed for the USV. The WQMS consists of a series of low-power water quality detecting sensors and a lifting device that can collect the water quality monitoring data at different water depths. These data are analyzed by the proposed water quality analysis algorithm based on the ensemble learning method to estimate the water quality level. Then, a real experiment is conducted in a lake to verify the feasibility of the proposed design. The experimental results obtained in real application demonstrate good performance and feasibility of the proposed monitoring system.

scholarly journals A Review - Water Quality Monitoring System

2019 ◽  
Author(s):  
R. J. Sapkal ◽  
Pooja Wattamwar ◽  
Rani Waghmode ◽  
Umrunnisa Tamboli
Keyword(s):  
Water Quality ◽  
Water Level ◽  
Water System ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Network Coverage ◽  
Monitoring And Control ◽  
Water Sensor ◽  
And Control ◽  
System Prototype

This paper describes the main reason for need of effective and efficient water level monitoring and control of water quality in flat system tends to keeping the human resources healthy and sustainable, and to reduce the usage of water for household purposes. Due to climate changes and variability so many huge impacts are caused by the water system to the natural environment. Incredible methods are used by collecting water samples, testing and analyses in water laboratories alone. However, It is not always easy to be captured, analyses and fast dissemination of information to relevant users for making timely and well-versed decisions. In this project Water Sensor System prototype is developed for water level and quality monitoring in society is presented. These kind of growth was introduced by the assessment of widespread atmosphere that Including accessibility of cellular network Coverage at the site of process.

Recovery of Crustacean Zooplankton Species Richness in Sudbury Area Lakes following Water Quality Improvements

1991 ◽  
Vol 48 (9) ◽  
pp. 1635-1644 ◽  
Author(s):  
W. Keller ◽  
N. D. Yan
Keyword(s):  
Water Quality ◽  
Species Richness ◽  
Trace Metal ◽  
Crustacean Zooplankton ◽  
Zooplankton Species ◽  
Quality Improvements ◽  
Metal Concentrations ◽  
Crustacean Plankton ◽  
Zooplankton Communities ◽  
Plankton Communities

Temporal patterns in the species richness of crustacean zooplankton communities were assessed in eight Sudbury area lakes based on data collected between 1973 and 1986. Excluding a consistently nonacidic reference lake, the study lakes showed general reductions in acidity and trace metal concentrations during this period, related to reduced contaminant emissions from the Sudbury smelters. Despite water quality improvements, several of the study lakes continue to have low pH and elevated trace metal concentrations which have inhibited recovery of zooplankton species richness. However, in lakes with more favourable current pH and lower trace metal concentrations, substantial increases in the average species richness of crustacean plankton communities have occurred, apparently due to both invasion of new species and more frequent occurrence of existing species. These results clearly demonstrate that reductions in acid-forming emissions lead to both chemical and biological improvements in some aquatic systems.

scholarly journals Environmental Impacts from Maritime Operations at Dinding River

2019 ◽  
Vol 8 (12) ◽  
pp. 5591-5595
Keyword(s):  
Water Quality ◽  
Environmental Impact ◽  
Marine Pollution ◽  
Pollution Index ◽  
Water Quality Monitoring ◽  
Research Area ◽  
Current Status ◽  
The Status ◽  
Negative Effect ◽  
Maritime Operations

Water quality characterized as a measure of the physical, synthetic, organic, and microbiological characteristics of water. Water quality monitoring and measurement give an experiential proof to support decision making on issues related to health and environmental impact. Maritime operations are one of the factors that contributed to the environmental impact, particularly on the water quality status. The interactions of Lumut water (Dinding River) with several maritime operations nearby can lead to marine pollution and bring negative effect to the natural habitation. Through preliminary observations, oil spillage and garbage were discovered at the surface water of Dinding River. This study is conducted to identify the current status of water quality at Dinding River. Water samples from 5 fixed stations along the river were collected regularly and analyzed to determine the status of water quality based on the chosen water parameters - Conductivity, Total Suspended Solids, pH, Total Dissolved Solids and Dissolved Oxygen. Pollution Index is used as a tool to determine the status of water quality at the research area. The results show that the water at Dinding River is moderately polluted.

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