Using Cyber Physical Systems to Map Water Quality Over Large Water Bodies

Priyank Hirani, Srinivas Balivada, Ritambhara Chauhan, G. Shaikh, L. Murthy, Ashu Balhara, Ramesh Chandra Ponduru, H. Sharma, Srinivas Chary, G. Subramanyam, S. Randhawa, Tanima Dutta, Hari Prabhat Gupta, Aniban Gupta, A. Haldar, A. Sarkar, I. Khan, Supratik Guha
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引用次数: 6

Abstract

The world faces a grave water risk that affects all aspects of human life and ecology with implications for food security, energy production, industrial activity and human health. India is particularly affected as it has 16% of the world's population but access to less than 4% of global freshwater resources. In this study, we use mobile (moving) sensors to spatially and temporally map river water quality based on in-situ data gathered in some of India's major rivers. Data visualizations generated are intended to pinpoint sources of pollution, ensure regulatory compliance and examine health of the water body. We show that such cyber physical sensing techniques can be a powerful and more practical (or cost-effective) way to dynamically monitor, predict and regulate the quality of large bodies of water.
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利用网络物理系统绘制大型水体水质图
世界面临严重的水风险,影响到人类生活和生态的各个方面,对粮食安全、能源生产、工业活动和人类健康产生影响。印度受到的影响尤其严重,因为它拥有世界16%的人口,但获得的淡水资源不到全球的4%。在这项研究中,我们使用移动(移动)传感器根据在印度一些主要河流收集的原位数据绘制河流水质的时空图。生成的数据可视化旨在查明污染源,确保遵守法规并检查水体健康。我们表明,这种网络物理传感技术可以是一种强大的、更实用的(或成本效益)的方式来动态监测、预测和调节大型水体的质量。
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