Research Team Proposes New Strategy for Surface Water Quality Detection
Introduction
A research team at Hefei Institutes of Physical Science (HFIPS), Chinese Academy of Sciences (CAS), has proposed a new strategy for fast and accurate detection of surface water quality. The team aims to enable real-time monitoring of water quality parameters, which is crucial for preventing and controlling surface water pollution.
Sustainable Development Goals (SDGs)
- Goal 6: Clean Water and Sanitation
- Goal 14: Life Below Water
- Goal 15: Life on Land
Methodology
The research team utilized the data of surface water ultraviolet-visible spectra (UV-Vis) and near infrared (NIR) spectra to enhance the accuracy of spectral methods for water quality detection. They collected spectral data and conducted chemical determinations on 70 river samples with varying degrees of pollution. By combining UV-Vis and NIR spectra and employing different variable selection algorithms, they optimized the UV-Vis-NIR fusion models for surface water pollution indicators.
Results
The results demonstrated that the UV-Vis-NIR data fusion strategy significantly improves the spectral prediction accuracy of key indicators such as chemical oxygen demand (COD), ammonia nitrogen (AN), and total nitrogen (TN) in surface water compared to using a single spectral technology. Furthermore, this method exhibited better stability under different optimization conditions, ensuring more robust detection results than those achieved with single spectroscopic techniques.
Implications
The findings of this research provide an exciting perspective for the future application of spectral online monitoring technology for water quality assessment. By utilizing the UV-Vis-NIR fusion strategy, real-time monitoring of surface water quality can be achieved, contributing to the achievement of Sustainable Development Goals related to clean water and sanitation, life below water, and life on land.
Reference
- Xu Z, Li X, Cheng W, et al. Data fusion strategy based on ultraviolet-visible spectra and near-infrared spectra for simultaneous and accurate determination of key parameters in surface water. Spectrochim Acta A Mol. 2023;302:123007. doi: 10.1016/j.saa.2023.123007
SDGs, Targets, and Indicators
-
SDG 6: Clean Water and Sanitation
- Target 6.3: By 2030, improve water quality by reducing pollution, eliminating dumping and minimizing release of hazardous chemicals and materials, halving the proportion of untreated wastewater, and substantially increasing recycling and safe reuse globally.
- Indicator 6.3.2: Proportion of bodies of water with good ambient water quality.
-
SDG 9: Industry, Innovation, and Infrastructure
- Target 9.5: Enhance scientific research, upgrade the technological capabilities of industrial sectors in all countries, in particular developing countries, including, by 2030, encouraging innovation and substantially increasing the number of research and development workers per 1 million people and public and private research and development spending.
- Indicator 9.5.1: Research and development expenditure as a proportion of GDP.
Analysis
The article discusses a research study conducted by the Hefei Institutes of Physical Science (HFIPS), Chinese Academy of Sciences (CAS), on the detection of surface water quality. Based on the content of the article, the following analysis can be made:
1. Which SDGs are addressed or connected to the issues highlighted in the article?
The issues highlighted in the article are connected to SDG 6: Clean Water and Sanitation and SDG 9: Industry, Innovation, and Infrastructure.
2. What specific targets under those SDGs can be identified based on the article’s content?
Based on the article’s content, the specific targets that can be identified are:
- Target 6.3: By 2030, improve water quality by reducing pollution, eliminating dumping and minimizing release of hazardous chemicals and materials, halving the proportion of untreated wastewater, and substantially increasing recycling and safe reuse globally.
- Target 9.5: Enhance scientific research, upgrade the technological capabilities of industrial sectors in all countries, in particular developing countries, including, by 2030, encouraging innovation and substantially increasing the number of research and development workers per 1 million people and public and private research and development spending.
3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?
Yes, there are indicators mentioned in the article that can be used to measure progress towards the identified targets:
- Indicator 6.3.2: Proportion of bodies of water with good ambient water quality.
- Indicator 9.5.1: Research and development expenditure as a proportion of GDP.
Table: SDGs, Targets, and Indicators
| SDGs | Targets | Indicators |
|---|---|---|
| SDG 6: Clean Water and Sanitation | Target 6.3: By 2030, improve water quality by reducing pollution, eliminating dumping and minimizing release of hazardous chemicals and materials, halving the proportion of untreated wastewater, and substantially increasing recycling and safe reuse globally. | Indicator 6.3.2: Proportion of bodies of water with good ambient water quality. |
| SDG 9: Industry, Innovation, and Infrastructure | Target 9.5: Enhance scientific research, upgrade the technological capabilities of industrial sectors in all countries, in particular developing countries, including, by 2030, encouraging innovation and substantially increasing the number of research and development workers per 1 million people and public and private research and development spending. | Indicator 9.5.1: Research and development expenditure as a proportion of GDP. |
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Source: technologynetworks.com
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