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Assessment of some water quality parameters in the Red River downstream, Vietnam by combining field monitoring and remote sensing method.

التفاصيل البيبلوغرافية
العنوان: Assessment of some water quality parameters in the Red River downstream, Vietnam by combining field monitoring and remote sensing method.
المؤلفون: Tham TT; Faculty of Environment, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam. tttham@hunre.edu.vn., Hung TL; Le Quy Don Technical University, Hanoi, Vietnam., Thuy TT; Faculty of Environment, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam., Mai VT; Faculty of Environment, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam., Trinh LT; Faculty of Environment, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam., Hai CV; Goshu Kohsan Vietnam Company, Hanoi, Vietnam., Minh TB; Faculty of Chemistry, University of Science, Vietnam National University, Hanoi, Vietnam. tubinhminh@gmail.com.
المصدر: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2022 Jun; Vol. 29 (28), pp. 41992-42004. Date of Electronic Publication: 2021 Oct 05.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE
أسماء مطبوعة: Publication: <2013->: Berlin : Springer
Original Publication: Landsberg, Germany : Ecomed
مواضيع طبية MeSH: Remote Sensing Technology* , Water Quality*, Environmental Monitoring/methods ; Humans ; Rivers ; Vietnam
مستخلص: The Red River is the largest river in northern Vietnam, and it serves as the main water source for production and human activities in the Red River Delta region. Cities and provinces located in the Red River Delta, for example, Hanoi, Nam Dinh, and Ha Nam, have experienced rapid economic growth with various large urban, industrial zones, and agricultural areas. As a result of urbanization and industrialization, surface water in this region has been contaminated by multiple anthropogenic sources. In this study, in addition to water quality assessment using WQI, we used the reflectance values of visible and near-infrared bands and in situ data to build a regression model for several water quality parameters. Among ten parameters examined, two parameters, including total suspended solids (TSS) and turbidity, were used to construct regression correlation models using the Sentinel-2 multispectral images. Our results can contribute useful information for comprehensive monitoring, evaluation, and management scheme of water quality in the Red River Delta. The application of this method can overcome the limitation of actual observation results that only reflect local contamination status and require a lot of sampling and laboratory efforts.
(© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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معلومات مُعتمدة: TNMT 2018.02.15 Ministry of Natural Resources and Environment
فهرسة مساهمة: Keywords: Red River; Remote sensing; Sentinel-2; Water quality
تواريخ الأحداث: Date Created: 20211006 Date Completed: 20220603 Latest Revision: 20220603
رمز التحديث: 20240628
DOI: 10.1007/s11356-021-16730-0
PMID: 34611807
قاعدة البيانات: MEDLINE
الوصف
تدمد:1614-7499
DOI:10.1007/s11356-021-16730-0