Real Time Monitoring of Surface Water Pollution using Microwave System

Tang, Panliang; Zhao, Lei; Ren, Liyuan; Zhao, Zhiqin; Yao, Ya Chuan

doi:10.1163/156939308784159570

Cited by 5 publications

(1 citation statement)

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“…The assessment of water quality plays an essential role whether in engineering applications or in scientific research. However, due to the frequent occurrence of abrupt water pollution accident [1,2], the general static assessment of water quality cannot meet the actual requirements any more. So, it is very important to assess the water quality of different regions accurately and dynamically, which is a hot field in water environment management system.…”

Section: Introductionmentioning

confidence: 99%

A Multiagent Dynamic Assessment Approach for Water Quality Based on Improved Q-Learning Algorithm

Ren

Liu

et al. 2013

Mathematical Problems in Engineering

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The dynamic water quality assessment is a challenging and critical issue in water resource management systems. To deal with this complex problem, a dynamic water assessment model based on multiagent technology is proposed, and an improved Q-learning algorithm is used in this paper. In the proposed Q-learning algorithm, a fuzzy membership function and a punishment mechanism are introduced to improve the learning speed of Q-learning algorithm. The dynamic water quality assessment for different regions and the prewarning of water pollution are achieved by using an interaction factor in the proposed approach. The proposed approach can deal with various situations, such as static and dynamic water quality assessment. The experimental results show that the water quality assessment based on the proposed approach is more accurate and efficient than the general methods.

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Section: Introductionmentioning

confidence: 99%