The Experts below are selected from a list of 70047 Experts worldwide ranked by ideXlab platform
Gu Xiaojun - One of the best experts on this subject based on the ideXlab platform.
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ICARCV - Research on Water Quality Assessment method based on multi-class support vector machines
2008 10th International Conference on Control Automation Robotics and Vision, 2008Co-Authors: Cao Jian, Hu Hongsheng, Qian Suxiang, Gu XiaojunAbstract:It has been a more complex problem for Water Quality Assessment. And its aim is to well and truly evaluate its degree of pollution for bodies of Water, which will be easy to provide some principled projects and criterions for Water resource's protection and their integration application. So, it has been widely applied into Water Quality Assessment. SVM and directed acyclic graph support vector machine (DAGSVM) are paid much attention in this paper. A Water Quality Assessment method based on DAGSVM is put forward. The test results show that the method proposed in this paper has an excellent performance on correct ratio. Besides, a wireless Water Quality monitoring system is designed and developed. The system can realize the acquisition of the Water parameters, and the acquisition information timely and low cost transmission by GPRS (general packet radio service, GPRS). The developed system can store and display the Water Quality parameters from the monitoring spots in real time. Combining the wireless communication technology with the monitoring technology, the designed and developed system can greatly improve the real-time and continuity for the Water Quality's monitoring and Assessment.
Jing Ding - One of the best experts on this subject based on the ideXlab platform.
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Projection pursuit cluster model and its application in Water Quality Assessment.
Journal of environmental sciences (China), 2004Co-Authors: Shun-jiu Wang, Zhifeng Yang, Jing DingAbstract:One of the difficulties frequently encountered in Water Quality Assessment is that there are many factors and they cannot be assessed according to one factor, all the effect factors associated with Water Quality must be used. In order to overcome this issues the projection pursuit principle is introduced into Water Quality Assessment, and projection pursuit cluster (PPC) model is developed in this study. The PPC model makes the transition from high dimension to one-dimension. In other words, based on the PPC model, multifactor problem can be converted to one factor problem. The application of PPC model can be divided into four parts: (1) to estimate projection index function Q(a -->); (2) to find the right projection direction a -->; (3) to calculate projection characteristic value of the i th sample z(i), and (4) to draw comprehensive analysis on the basis of z(i). On the other hand, the empirical formula of cutoff radius R is developed, which is benefit for the model to be used in practice. Finally, a case study of Water Quality Assessment is proposed in this paper. The results showed that the PPC model is reasonable, and it is more objective and less subjective in Water Quality Assessment. It is a new method for multivariate problem comprehensive analysis.
Cao Jian - One of the best experts on this subject based on the ideXlab platform.
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ICARCV - Research on Water Quality Assessment method based on multi-class support vector machines
2008 10th International Conference on Control Automation Robotics and Vision, 2008Co-Authors: Cao Jian, Hu Hongsheng, Qian Suxiang, Gu XiaojunAbstract:It has been a more complex problem for Water Quality Assessment. And its aim is to well and truly evaluate its degree of pollution for bodies of Water, which will be easy to provide some principled projects and criterions for Water resource's protection and their integration application. So, it has been widely applied into Water Quality Assessment. SVM and directed acyclic graph support vector machine (DAGSVM) are paid much attention in this paper. A Water Quality Assessment method based on DAGSVM is put forward. The test results show that the method proposed in this paper has an excellent performance on correct ratio. Besides, a wireless Water Quality monitoring system is designed and developed. The system can realize the acquisition of the Water parameters, and the acquisition information timely and low cost transmission by GPRS (general packet radio service, GPRS). The developed system can store and display the Water Quality parameters from the monitoring spots in real time. Combining the wireless communication technology with the monitoring technology, the designed and developed system can greatly improve the real-time and continuity for the Water Quality's monitoring and Assessment.
B. Venkatesh - One of the best experts on this subject based on the ideXlab platform.
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Water Quality Assessment of a Lentic Water Body Using Remote Sensing: A Case Study
Environmental Pollution, 2017Co-Authors: B. K. Purandara, B. S. Jamadar, T. Chandramohan, Mathew K. Jose, B. VenkateshAbstract:Water Quality Assessment of lakes, rivers, and reservoirs is a key issue for environmental monitoring and management. Lakes are subjected to sudden environmental changes caused by anthropogenic activities due to their multiple uses (agriculture, fishing, and boating, industrial and Water supply). One of the most important issues in lake Water management is Water Quality. Water Quality Assessments are being carried out using conventional methods which are very common and accurate, however, have the disadvantage of being expensive and labor-intensive. Further, sampling method and frequency are the major constraints to obtain representative samples. In order to overcome such hurdles in Water Quality management remote sensing approach has become more user-friendly and quite reliable. Remote sensing approach to Water Quality Assessment is based on the optical bands in the region from blue to near infrared. These data are then used to explore the relation between the reflectance of Water bodies and biophysical parameters such as: transparency, chlorophyll concentration (phytoplankton), and the organic and mineral suspended sediments. In the present study, an attempt has been made to understand the Water Quality characteristics of a lake situated in coastal, Kerala, known as Vembanad lake (a Ramsar site in south India) using Landsat-TM data. A relationship between Landsat-TM bands and suspended sediment concentration has been arrived at and compared with the field monitored data. It is noticed that TM bands such as TM5, TM6, and TM7 show higher correlation with observed data than bands 1, 2, and 3.
Dongsheng Wang - One of the best experts on this subject based on the ideXlab platform.
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Raw Water Quality Assessment for the treatment of drinking Water
Environmental Earth Sciences, 2016Co-Authors: Dongsheng WangAbstract:Changes in the Quality of raw Water can significantly affect the treatments necessary for drinking Water. Generally, raw Water Quality Assessments are carried out to classify the pollution level of raw Waters and cannot be used directly as a control for drinking Water treatments. In order to improve the adaptability of drinking Water treatments and to stabilize the overall Quality of treated Water, a raw Water Quality Assessment technique that is specifically related to drinking Water treatments is developed in this study. First, a drinking Water treatment-oriented raw Water Quality Assessment standard is proposed, based on historical environmental information and an analysis of operational data from drinking Water treatments. A raw Water Quality Assessment model is then set up to assess the raw Water Quality in real time. Finally, the results from this Assessment are used to compute feedforward compensation for real-time control of the chemical dosing process, including both alum and ozone in the drinking Water treatment. In this way, drinking Water treatment can be adjusted according to the temporal changes in raw Water Quality, thereby stabilizing the Quality of treated Waters. Experimental implementation of this technique has been carried out in the chemical dosing process control systems of a drinking Water treatment plant in China, and the results obtained demonstrate the effectiveness of the raw Water Quality Assessment method proposed herein. This development will be helpful in satisfying the basic requirement of safe drinking Water under a worsening global Water environment.
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Research on raw Water Quality Assessment oriented to drinking Water treatment based on the SVM model
Water Supply, 2015Co-Authors: Dongsheng WangAbstract:Raw Water Quality variation has great effect on the drinking Water treatment. To improve the adaptivity of drinking Water treatment and stabilize the Quality of treated Water, a raw Water Quality Assessment method, which is based upon support vector machine (SVM) is developed in this study. Compared to existing raw Water Quality Assessment methods, the Assessment method studied herein is oriented to the drinking Water treatment and can directly be used for the control of chemical (alum and ozone) dosing process. To this end, based upon the productive experiences and the analysis of operating data of Water supply, a raw Water Quality Assessment standard oriented to the drinking Water treatment has been proposed. A raw Water Quality model is set up to assess the raw Water Quality based upon SVM technique. Based upon the raw Water Quality Assessment results, a feedforward-feedback control scheme has been designed for the chemical dosing process control of drinking Water treatment. Thus, the chemical dosage can be adjusted in time to cope with the raw Water Quality variations and hence, the Quality of treated Water is stabilized. Experimental results demonstrate the improved effectiveness of the proposed method of raw Water Quality Assessment and the feedforward-feedback control scheme.
