Eco-Sensing System for Water Pollution and Microplastic Detection
DOI:
https://doi.org/10.32628/CSEIT25113333Keywords:
Microplastics, Water Systems, Environmental Factors, Ecosystems, Pollution Prevention, Distribution CharacteristicsAbstract
Microplastic contamination in aquatic habitats is a critical environmental concern, endangering marine organisms and human health. Conventional detection and remediation techniques often prove insufficient, prompting the need for the creation of novel strategies. This study seeks to investigate and assess innovative methods for identifying and reducing microplastics in aquatic ecosystems. The research examines sophisticated detection technologies, such as spectroscopy and sensor-based techniques, which provide enhanced accuracy and efficiency relative to traditional methods. Furthermore, it examines novel remediation methods, including bioremediation and the use of sophisticated filtering systems. The growing prevalence of microplastics and chemical pollutants in aquatic environments is a significant threat to ecosystems and human health. Traditional detection technologies are often laboratory-based, costly, and inappropriate for real-time or field applications. The system utilizes a mix of physical filtration, image processing, and miniaturized spectroscopy for microplastic detection, in conjunction with a suite of chemical sensors for real-time water quality assessment. The findings reveal that these novel techniques significantly improve the identification and elimination of microplastics, exhibiting enhanced efficacy compared to conventional methods. This study offers essential insights into the capacity of innovative technologies to mitigate microplastic pollution, emphasizing their relevance and advantages for environmental conservation. Integrating these creative technologies will enhance the protection of aquatic habitats and foster sustainable environmental practices.
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References
Li, J.; Liu, H.; Chen, J.P. Microplastics in freshwater systems: A review on occurrence, environmental effects, and methods for microplastics detection. Water Res. 2018, 137, 362–374. [CrossRef] [PubMed]
Geyer, R.; Jambeck, J.R.; Law, K.L. Production, use, and fate of all plastics ever made. Sci. Adv. 2017, 3, e1700782.
Jambeck, J.R.; Geyer, R.;Wilcox, C.; Siegler, T.R.; Perryman, M.; Andrady, A.; Narayan, R.; Law, K.L. Plastic waste inputs from land into the ocean. Science 2015, 347, 768–771. [CrossRef] [PubMed]
Usman, S.; Abdull Razis, A.F.; Shaari, K.; Azmai, M.N.A.; Saad, M.Z.; Mat Isa, N.; Nazarudin, M.F. The Burden of Micro-plastics Pollution and Contending Policies and Regulations. Int. J. Environ. Res. Public Health. 2022, 19, 6773. [CrossRef]
Jiang, X.; Chen, H.; Liao, Y.; Ye, Z.; Li, M.; Klobuˇcar, G. Ecotoxicity and genotoxicity of polystyrene microplastics on higher plant Vicia faba. Environ. Pollut. 2019, 250, 831–838.
Nizzetto, L.; Langaas, S.; Futter, M. Pollution: Do microplastics spill on to farm soils? Nature 2016, 537, 488.
Li, D. Research Advance and Countermeasures on Marine Microplastic Pollution. Res. Environ. Sci. 2019, 32, 197–202.
Y. Perwej, Firoj Parwej, “A Neuroplasticity (Brain Plasticity) Approach to Use in Artificial Neural Network”, International Journal of Scientific & Engineering Research (IJSER), France, ISSN 2229 – 5518, Volume 3, Issue 6, Pages 1- 9, 2012, DOI: 10.13140/2.1.1693.2808
Y. Perwej, “An Evaluation of Deep Learning Miniature Concerning in Soft Computing”, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), ISSN (Online): 2278-1021, ISSN (Print): 2319-5940, Volume 4, Issue 2, Pages 10 - 16, 2015, DOI: 10.17148/IJARCCE.2015.4203
Y. Perwej, “The Bidirectional Long-Short-Term Memory Neural Network based Word Retrieval for Arabic Documents”, Transactions on Machine Learning and Artificial Intelligence (TMLAI), which is published by Society for Science and Education, United Kingdom (UK), ISSN 2054-7390, Volume 3, Issue 1, Pages 16 - 27, 2015, DOI: 10.14738/tmlai.31.863
Thompson, R.C.; Olsen, Y.; Mitchell, R.P.; Davis, A.; Rowland, S.J.; John, A.W.G.; McGonigle, D.; Russell, A.E. Lost at Sea: Where Is All the Plastic? Science 2004, 304, 838.
Browne, M.A.; Crump, P.; Niven, S.J.; Teuten, E.; Tonkin, A.; Galloway, T.; Thompson, R. Accumulation of Microplastic on Shorelines Woldwide: Sources and Sinks. Environ. Sci. Technol. 2011, 45, 9175–9179. [CrossRef]
Stolte, A.; Forster, S.; Gerdts, G.; Schubert, H. Microplastic concentrations in beach sediments along the German Baltic coast. Mar. Pollut. Bull. 2015, 99, 216–229.
Fendall, L.S.; Sewell, M.A. Contributing to marine pollution by washing your face: Microplastics in facial cleansers. Mar. Pollut. Bull. 2009, 58, 1225–1228. [CrossRef]
ter Halle, A.; Ladirat, L.; Gendre, X.; Goudouneche, D.; Pusineri, C.; Routaboul, C.; Tenailleau, C.; Duployer, B.; Perez, E. Understanding the Fragmentation Pattern of Marine Plastic Debris. Environ. Sci. Technol. 2016, 50, 5668–5675.
Siegfried, M.; Koelmans, A.A.; Besseling, E.; Kroeze, C. Export of microplastics from land to sea. A modelling approach. Water Res. 2017, 127, 249–257. [CrossRef]
Y. Perwej, “Unsupervised Feature Learning for Text Pattern Analysis with Emotional Data Collection: A Novel System for Big Data Analytics”, IEEE International Conference on Advanced computing Technologies & Applications (ICACTA'22), SCOPUS, IEEE No: #54488 ISBN No Xplore: 978-1-6654-9515-8, Coimbatore, India, 2022, DOI: 10.1109/ICACTA54488.2022.9753501
Y. Perwej, S. A. Hann, N. Akhtar, “The State-of-the-Art Handwritten Recognition of Arabic Script Using Simplified Fuzzy ARTMAP and Hidden Markov Models”, International Journal of Computer Science and Telecommunications (IJCST), Sysbase Solution (Ltd), UK, London, ISSN 2047-3338, Volume, Issue 8, Pages, 26 - 32, 2014
Y. Perwej, Asif Perwej, Firoj Parwej, “An Adaptive Watermarking Technique for the copyright of digital images and Digital Image Protection”, International journal of Multimedia & Its Applications (IJMA), Academy & Industry Research Collaboration Center (AIRCC) , USA , Volume 4, No.2, Pages 21- 38, 2012, DOI: 10.5121/ijma.2012.4202
Y. Perwej , Firoj Parwej, Asif Perwej, “Copyright Protection of Digital Images Using Robust Watermarking Based on Joint DLT and DWT ”, International Journal of Scientific & Engineering Research (IJSER), France, ISSN 2229-5518, Volume 3, Issue 6, Pages 1- 9, June 2012
W. Wang and J. Wang, "Investigation of microplastics in aquatic environments: An overview of the methods used from field sampling to laboratory analysis", TrAC Trends Anal. Chem., vol. 108, pp. 195-202, Nov. 2018
F. A. E. Lots, P. Behrens, M. G. Vijver, A. A. Horton and T. Bosker, "A large-scale investigation of microplastic contamination: Abundance and characteristics of microplastics in European beach sediment", Mar. Pollut. Bull., vol. 123, no. 1, pp. 219-226, Oct. 2017
D. Zhang, et al., Microplastic Pollution in Water, Sediment, and Fish from Artificial Reefs Around the Ma’an Archipelago, Shengsi, China 703, Science of The Total Environment, 2020, 134768.
W. Zhang, et al., Spatio-temporal distribution of plastic and microplastic debris in the surface water of the Bohai Sea, China, Mar. Pollut. Bull. 158 (2020), 111343.
J. Caldwell, et al., Spatial and temporal analysis of meso- and microplastic pollution in the Ligurian and Tyrrhenian Seas, Mar. Pollut. Bull. 159 (2020),
A.R.A. Lima, M.F. Costa, M. Barletta, Distribution patterns of microplastics within the plankton of a tropical estuary, Environ. Res. 132 (2014) 146–155.
Shobhit Kumar Ravi, Shivam Chaturvedi, Dr. Neeta Rastogi, N. Akhtar, Y. Perwej, “A Framework for Voting Behavior Prediction Using Spatial Data”, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), ISSN: 2347-5552, Volume 10, Issue 2, Pages 19-28, 2022, DOI: 10.55524/ijircst.2022.10.2.4
Y. Perwej, “An Optimal Approach to Edge Detection Using Fuzzy Rule and Sobel Method”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE), ISSN (Print) : 2320 – 3765, ISSN (Online): 2278 – 8875, Volume 4, Issue 11, Pages 9161-9179, 2015, DOI: 10.15662/IJAREEIE.2015.0411054
Shweta Pandey, Rohit Agarwal, Sachin Bhardwaj, Sanjay Kumar Singh, Y. Perwej, Niraj Kumar Singh, “A Review of Current Perspective and Propensity in Reinforcement Learning (RL) in an Orderly Manner” , the International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), Volume 9, Issue 1, Pages 206-227, 2023, DOI: 10.32628/CSEIT2390147
W. Wang, et al., The ecotoxicological effects of microplastics on aquatic food web, from primary producer to human: a review, Ecotoxicol. Environ. Saf. 173(2019) 110–117
C.L. Waller, et al., Microplastics in the Antarctic marine system: an emerging area of research, Sci. Total Environ. 598 (2017) 220–227
Mahmoud AbouGhaly, Yusuf Perwej, Mumdouh Mirghani Mohamed Hassan, Nikhat Akhtar, “Smart Sensors and Intelligent Systems: Applications in Engineering Monitoring” , International Journal of Intelligent Systems and Applications in Engineering, SCOPUS, ISSN: 2147- 6799, Volume 12, Issue 22s, Pages 720–727, July 2024
J. Zhu, et al., Microplastic pollution in the Maowei Sea, a typical mariculture bay of China, Sci. Total Environ. 658 (2019) 62–68.
Wang,W.;Wang, J. Comparative evaluation of sorption kinetics and isotherms of pyrene onto microplastics. Chemosphere 2018, 193, 567–573. [CrossRef]
Frias, J.; Sobral, P.; Ferreira, A. Organic pollutants in microplastics from two beaches of the Portuguese coast. Mar. Pollut. Bull. 2010, 60, 1988–1992. [CrossRef]
Zettler, E.R.; Mincer, T.J.; Amaral-Zettler, L.A. Life in the “Plastisphere”: Microbial Communities on Plastic Marine Debris. Environ. Sci. Technol. 2013, 47, 7137–7146.
Wang, F.; Shih, K.M.; Li, X.Y. The partition behavior of perfluorooctanesulfonate (PFOS) and perfluorooctanesulfonamide (FOSA) on microplastics. Chemosphere 2015, 119, 841–847. [CrossRef]
A. Faruk Çullu, V.Z. S¨onmez, N. Sivri, Microplastic contamination in surface waters of the Küçükçekmece Lagoon, Marmara Sea (Turkey): sources and areal distribution, Environ. Pollut. 268 (2021), 115801.
N. Akhtar, Nazia Tabassum, Dr. Asif Perwej, Y. Perwej,“ Data Analytics and Visualization Using Tableau Utilitarian for COVID-19 (Coronavirus)”, Global Journal of Engineering and Technology Advances (GJETA), Volume 3, Issue 2, Pages 28-50, 2020, DOI: 10.30574/gjeta.2020.3.2.0029
M. Chen, et al., Assessment of microplastics derived from mariculture in Xiangshan Bay, China, Environ. Pollut. 242 (2018) 1146–1156.
B. Chen, et al., Observation of microplastics in mariculture water of Longjiao Bay, southeast China: influence by human activities, Mar. Pollut. Bull. 160 (2020), 111655.
F. Preston-Whyte, et al., Meso- and microplastics monitoring in harbour environments: a case study for the Port of Durban, South Africa, Mar. Pollut. Bull. 163 (2021), 111948.
T.N. Toˇsi´c, M. Vruggink, A. Vesman, Microplastics quantification in surface waters of the barents, Kara and white seas, Mar. Pollut. Bull. 161 (2020), 111745.
Y. Zheng, et al., Distribution characteristics of microplastics in the seawater and sediment: a case study in Jiaozhou Bay, China, Sci. Total Environ. 674 (2019) 27–35.
J. Zhang, et al., Microplastics in the surface water of small-scale estuaries in Shanghai, Mar. Pollut. Bull. 149 (2019),
Y. Perwej, Nikhat Akhtar, Devendra Agarwal, “The emerging technologies of Artificial Intelligence of Things (AIoT) current scenario, challenges, and opportunities”, Book Title “Convergence of Artificial Intelligence and Internet of Things for Industrial Automation”, SCOPUS, ISBN: 978-1-032-42844-4, CRC Press, Taylor & Francis Group, 2024 DOI: 10.1201/9781003509240-1
V. Hidalgo-Ruz, L. Gutow, R. Thompson and M. Thiel, "Microplastics in the marine environment: a review of the methods used for identification and quantification", Environmental science & tech., vol. 46, no. 6, pp. 60-75, 2012
Li, H. Liu and J. Paul Chen, "Microplastic identification with focused infrared microscopy and machine learning", Environmental Science & Technology Letters, vol. 5, no. 11, pp. 635-641, 2018
K. Hartman, I. V. Kirstein, F. Ribeiro, P. Delandmeter, E. van Sebille, S. M. Mintenig, et al., "Combined spectroscopic and imagistic techniques for the detection of plastic litter in seawater samples", Front. in Marine Sci., vol. 7, pp. 694, 2020.
Patil V. H. ., Dhanke J. ., Ghaly M. A. ., Patil, R. N. ., Yusuf Perwej, Shrivastava A., “A Novel Approach for Crop Selection and Water Management using Mamdani’s Fuzzy Inference and IoT” ,International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), SCOPUS, ISSN: 2321-8169, Volume 11, Issue 9, Pages 62-68, 2023, DOI: 10.17762/ijritcc.v11i9.8320
M. Cole, P. Lindeque, C. Halsband and T. S. Galloway, "Microplastics as contaminants in the marine environment: a review", Marine pollution bulletin, vol. 62, no. 12, pp. 2588-2597, 2011
Shubham Mishra, Mrs Versha Verma, Nikhat Akhtar, Shivam Chaturvedi, Yusuf Perwej, “An Intelligent Motion Detection Using OpenCV” , International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN: 2395-1990 , Online ISSN : 2394-4099, Volume 9, Issue 2, Pages 51-63, March-April -2022, DOI: 10.32628/IJSRSET22925
Venkata K. S. Maddala, Dr. Shantanu Shahi, Yusuf Perwej, H G Govardhana Reddy, “Machine Learning based IoT application to Improve the Quality and precision in Agricultural System”, European Chemical Bulletin (ECB), ISSN: 2063-5346, SCOPUS, Hungary, Volume 12, Special Issue 6, Pages 1711 – 1722, May 2023, DOI: 10.31838/ecb/2023.12.si6.157
A.L. Andrady, "Microplastics in the marine environment", Marine Pollution Bulletin, vol. 62, no. 8, pp. 1596-1605, 2011
C.G. Avio, S. Gorbi and F. Regoli, "Plastics and microplastics in the oceans: From emerging pollutants to emerged threat", Marine Environmental Research, vol. 128, pp. 2-11, 2017
N. Akhtar, Hemlata Pant, Apoorva Dwivedi, Vivek Jain, Y. Perwej, “A Breast Cancer Diagnosis Framework Based on Machine Learning”, International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN: 2395-1990, Volume 10, Issue 3, Pages 118-132, 2023, DOI: 10.32628/IJSRSET2310375
KDV Prasad, Yusuf Perwej, E. Nageswara Rao, Himanshu Bhaidas Patel, “IoT Devices for Agricultural to Improve Food and Farming Technology”, Journal of Survey in Fisheries Sciences (JSFS), ISSN: 2368-7487, SCOPUS, Volume 10, No. 1S (2023): Special Issue 1, Pages 4054-4069, Canada, 2023
A. Käppler, D. Fischer, S. Oberbeckmann, G. Schernewski, M. Labrenz, K. Eichhorn, et al., "Analysis of environmental microplastics by vibrational microspectroscopy: FTIR Raman or both?", Analytical and Bioanalytical Chemistry, vol. 408, 2016
Kajal, Neha Singh, Nikhat Akhtar, Ms. Sana Rabbani, Y. Perwej, Susheel Kumar, “Using Emerging Deep Convolutional Neural Networks (DCNN) Learning Techniques for Detecting Phony News”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN: 2456-3307, Volume 10, Issue 1, Pages 122-137, 2024, DOI: 10.32628/CSEIT2410113
V. Hidalgo-Ruz, L. Gutow, R.C. Thompson and M. Thiel, "Microplastics in the marine environment: a review of the methods used for identification and quantification", Environmental science technology, vol. 46, no. 6, pp. 3060-3075, 2012
Firoj Parwej, N. Akhtar, Y. Perwej, “A Close-Up View About Spark in Big Data Jurisdiction”, International Journal of Engineering Research and Application (IJERA), ISSN: 2248-9622, Volume 8, Issue 1, (Part -I1), Pages 26-41, January 2018, DOI: 10.9790/9622-0801022641
C.G. Avio, S. Gorbi and F. Regoli, "Plastics and microplastics in the oceans: From emerging pollutants to emerged threat", Marine environmental research, vol. 128, pp. 2-11, 2017
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