Monitoring, Modeling and Management of Water Quality

Zessner, Matthias

doi:10.3390/w13111523

Cited by 8 publications

(4 citation statements)

References 21 publications

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“…Evaluation of water quality over time can only be performed through periodic monitoring. Regarding the study conducted by Zessner [49], it is expressed that monitoring is based on establishing the empirical basis by providing space-and time-dependent information on substance concentrations and loads, as well as boundary conditions for assessing water quality trends.…”

Section: Presentation Of the Results Related To The Two Salty Lakes S...mentioning

confidence: 99%

Evaluation and Evolution of the Physico-Chemical Parameters of Ocnei and Rotund Lakes Located near the “Salina Turda” Mine, Romania

Avram

Rus

Micle

et al. 2022

Water

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The present research brings an input of information regarding the evolution of several physico-chemical parameters of two salt lakes (Lake Ocnei and Lake Rotund), part of the ”Salina Turda” resort, Cluj County, Romania, by means of on-site determinations. Measurements were carried out at six depths for each sampling point. We attempted to describe the behaviors of the two lakes under different natural conditions, in order to identify the impact of anthropogenic activities on the quality parameters of the two lakes. Our studies showed that the qualitative parameters of the water fluctuate as an effect of anthropogenic activities. A comparative analysis of the results gathered during three monitoring campaigns in 2016, 2018, and 2020 indicated that water quality was affected by anthropogenic activities such as mixing water layers which were characterized by different salinity values. The lakes tended to lose basicity, pH values varying between 9 at the surface level and 7 at −4 m. The thermal stratification phenomenon was only evident in the first year of monitoring; later on, the waters of both lakes appeared thermally homogenous down to the depth of −2 m. It was determined that the lakes had an uppermost freshwater layer, which disappeared during the bathing season because of vertical mixing. Interestingly, the two lakes showcased different behaviors at depths beyond −3 m. In addition, the infiltration of meteoric water that was polluted with nitrites and nitrates demonstrated the fact that anthropogenic activities that take place in the vicinity of the lakes generate negative effects on water quality. The presence of the heliothermal phenomenon was confirmed by the measurements made in the upper segment of the lakes. This layer of water consists of a mixture of fresh and salt water. The purpose of the research was to evaluate the water quality of the lakes, monitor its evolution during the bathing season and update the situation regarding the water quality of the two salt lakes by testing specific parameters.

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Section: Presentation Of the Results Related To The Two Salty Lakes S...mentioning

confidence: 99%

Evaluation and Evolution of the Physico-Chemical Parameters of Ocnei and Rotund Lakes Located near the “Salina Turda” Mine, Romania

Avram

Rus

Micle

et al. 2022

Water

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“…The work proposed in [8,9] is applied to quantify water's physical and chemical properties. The measured properties of water are temperature, pH, TDS, and turbidity.…”

Section: Literature Reviewmentioning

confidence: 99%

IoT-Based Automatic Water Quality Monitoring System with Optimized Neural Network

2024

KSII TIIS

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One of the biggest dangers in the globe is water contamination. Water is a necessity for human survival. In most cities, the digging of borewells is restricted. In some cities, the borewell is allowed for only drinking water. Hence, the scarcity of drinking water is a vital issue for industries and villas. Most of the water sources in and around the cities are also polluted, and it will cause significant health issues. Real-time quality observation is necessary to guarantee a secure supply of drinking water. We offer a model of a low-cost system of monitoring realtime water quality using IoT to address this issue. The potential for supporting the real world has expanded with the introduction of IoT and other sensors. Multiple sensors make up the suggested system, which is utilized to identify the physical and chemical features of the water. Various sensors can measure the parameters such as temperature, pH, and turbidity. The core controller can process the values measured by sensors. An Arduino model is implemented in the core controller. The sensor data is forwarded to the cloud database using a WI-FI setup. The observed data will be transferred and stored in a cloud-based database for further processing. It wasn't easy to analyze the water quality every time. Hence, an Optimized Neural Network-based automation system identifies water quality from remote locations. The performance of the feed-forward neural network classifier is further enhanced with a hybrid GA-PSO algorithm. The optimized neural network outperforms water quality prediction applications and yields 91% accuracy. The accuracy of the developed model is increased by 20% because of optimizing network parameters compared to the traditional feed-forward neural network. Significant improvement in precision and recall is also evidenced in the proposed work.

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“…One of the challenges faced, especially in developing countries, is the deterioration of water quality due to pollution [1]. Water pollution has become an acute problem and has become a serious threat to both humans and natural ecosystems [2]. The sustainability of water resources must be maintained so that the water quality can be guaranteed according to its nature.…”

Section: Introductionmentioning

confidence: 99%

Study of Water Quality Status of <i>Dendam Tak Sudah</i> Lake in Bengkulu City, Indonesia: Using CCME Index

Khalik¹,

Sapei²,

Hariyadi³

et al. 2023

Pol. J. Environ. Stud.

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Dendam Tak Sudah Lake (DDTS), located in Bengkulu City, is the largest lake that has a vital role in the hydrological system of the area. Along with economic and regional development, this lake faces threats, especially the decline in water quality. This study aimed to determine lake water parameter characteristics and its quality status. The study used the lake water dataset monitoring obtained from the Environmental Service of Bengkulu City, which measured four observation points from May 2017 to March 2019. There were 17 parameters observed in this study and compared with Class I of lake water quality standards based on Government of Indonesia Regulation Number 22 Year 2021. The lake water quality status was analyzed using the water quality index of CCME. The analysis results show that the lake water quality index ranges between 44.64-56.72, so the status of lake water is included in the poor and marginal categories. Furthermore, the parameters that still meet the lake water quality standards are: temperature, TDS, TSS, pH, Fe, Sulfate, Mn, Cu, DO, Oil and greases, and detergent. In contrast, the remaining 6 parameters were detected to exceed the lake water quality standard: Zn, BOD, COD, Phosphate, total coliform, and fecal coliform.

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Monitoring, Modeling and Management of Water Quality

Cited by 8 publications

References 21 publications

Evaluation and Evolution of the Physico-Chemical Parameters of Ocnei and Rotund Lakes Located near the “Salina Turda” Mine, Romania

Evaluation and Evolution of the Physico-Chemical Parameters of Ocnei and Rotund Lakes Located near the “Salina Turda” Mine, Romania

IoT-Based Automatic Water Quality Monitoring System with Optimized Neural Network

Study of Water Quality Status of <i>Dendam Tak Sudah</i> Lake in Bengkulu City, Indonesia: Using CCME Index

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