scholarly journals Urban Water Quality Assessment Based on Remote Sensing Reflectance Optical Classification

2021 ◽  
Vol 13 (20) ◽  
pp. 4047
Author(s):  
Xiaolan Cai ◽  
Yunmei Li ◽  
Shun Bi ◽  
Shaohua Lei ◽  
Jie Xu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Assessment Method ◽  
Quality Parameters ◽  
Water Type ◽  
Urban Water ◽  
Urban Water Quality ◽  
Remote Sensing Reflectance

With the acceleration of urbanization, increasing water pollution means that monitoring and evaluating urban water quality are of great importance. Although highly accurate, traditional evaluation methods are time consuming, laborious, and vastly insufficient in terms of the continuity of spatiotemporal coverage. In this study, a water quality assessment method based on remote sensing reflectance optical classification and the traditional grading principle is proposed. In this method, an optical water type (OWT) library was first constructed using the measured in situ remote sensing reflectance dataset based on fuzzy clustering technology. Then, comprehensive scoring rules were established by combining OWTs and 12 water quality parameters, and water quality was graded into different urban water quality levels (UWQLs) based on the scoring results. Using the proposed method, the relative water quality of urban waterbodies was qualitatively evaluated at the macro level based on images from the multispectral imager of Sentinel-2. In addition, there was a significant positive correlation between the UWQLs and the water quality index (WQI). These results indicate the potential of this method for quantitative assessment of urban water quality, providing a new way to evaluate water quality using remote sensing algorithms in the future.

scholarly journals An integrated approach for urban water quality assessment

2011 ◽  
Vol 64 (7) ◽  
pp. 1519-1526 ◽  
Author(s):  
A. S. Beenen ◽  
J. G. Langeveld ◽  
H. J. Liefting ◽  
R. H. Aalderink ◽  
H. Velthorst
Keyword(s):  
Water Quality ◽  
Drainage System ◽  
Water Quality Assessment ◽  
Integrated Approach ◽  
Urban Drainage ◽  
Urban Water ◽  
Sewer System ◽  
Urban Drainage System ◽  
Urban Water Quality ◽  
Receiving Water

This paper introduces an integrated approach for the assessment of receiving water quality and the relative contribution of the urban drainage system to perceived receiving water quality problems. The approach combines mass balances with relatively simple receiving water impact models. The research project has learned that the urban drainage system is only one of the determining factors with respect to receiving urban water quality problems. The morphology of the receiving waters and the non-sewer sources of pollution, such as waterbirds, dogs, or inflow of external surface water might be equally important. This conclusion underlines the necessity to changes today's emission based approach and adopt an integral and immission based approach. The integrated approach is illustrated on a case study in Arnhem, where the receiving water quality remained unsatisfactory even after retrofitting a combined sewer system into a separated sewer system.

Water Quality Evaluation Based on Multiclass Fuzzy Support Vector Machine

2010 ◽  
Vol 113-116 ◽  
pp. 708-711 ◽  
Author(s):  
Wei Guo Zhao ◽  
Li Ying Wang
Keyword(s):  
Water Quality ◽  
Support Vector Machine ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Training Model ◽  
Assessment Method ◽  
Complex Problem ◽  
Support Vector ◽  
Fuzzy Support Vector Machine ◽  
Quality Assessment Method

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, a water quality assessment method based on Multiclass Fuzzy Support Vector Machine is put forward. and a two-step cross-validation was used to search for the best combination of parameters to obtain an optimal training model. The test results show that the method proposed in this paper has an excellent performance on correct ratio compared to BP. It indicated that the performance of the proposed model is practically feasible in the application of water quality assessment.

Research on raw water quality assessment oriented to drinking water treatment based on the SVM model

2015 ◽  
Vol 16 (3) ◽  
pp. 746-755 ◽  
Author(s):  
Dongsheng Wang
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Quality Assessment ◽  
Drinking Water Treatment ◽  
Water Quality Assessment ◽  
Assessment Method ◽  
Raw Water ◽  
Control Scheme ◽  
Raw Water Quality

Raw water quality variation has a great effect on 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 the 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 drinking water treatment and can directly be used for the control of the chemical (alum and ozone) dosing process. To this end, based upon the productive experiences and the analysis of the operating data of water supply, a raw water quality assessment standard oriented to drinking water treatment is proposed. A raw water quality model is set up to assess the raw water quality based upon the 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 raw water quality variations and hence, the quality of the 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.

scholarly journals Water Quality Assessment of the Godavari River

1970 ◽  
Vol 5 ◽  
pp. 31-34 ◽  
Author(s):  
Ajay D. Chavan ◽  
M P Sharma ◽  
Renu Bhargava
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Pollution Control ◽  
Water Quality Management ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Control Board ◽  
Godavari River ◽  
The Usa

The Godavari River is a second largest river in India originating from Trimbakeswar, Nasik, Maharashtra, India. It fl ows through the states of Madhya Pradesh, Karnataka, Orissa and Andhra Pradesh. The river, passing through Nasik City, is 82% polluted by domestic pollution and 18% by industries. The study covers about 65 km of the river starting from Kushawart Trimbakeswar to Saikheda Village, from where it enters the city. Ten locations were selected for collection of water samples from the river and the samples were analyzed for water quality parameters in the Environmental Laboratory of the Maharashtra Pollution Control Board (MPCB), Nasik. These data as well as data from the Central Pollution Control Board (CPCB) were used to compute the National Sanitation Foundation Water Quality Index (NSFWQI), mostly applicable in the USA and India. The results of NSFWQI of Godavari River indicates its water quality as ‘bad' (26-50) or ‘medium' (51-70) over the study stretch. The NSFWQI of December 2007 and February 2008 indicate an improvement in water quality at all locations over earlier data from 2002-07. Based upon the results, the existing conservation measures have been reviewed and additional measures are suggested. The study concludes that major stressor is sewage pollution.Key words: Water quality parameters; Water quality assessment; Water quality management; Conservation measuresDOI: 10.3126/hn.v5i0.2483Hydro Nepal Vol. 5, July 2009 Page:31-34 

Water quality assessment at Ömerli Dam using remote sensing techniques

2007 ◽  
Vol 135 (1-3) ◽  
pp. 391-398 ◽  
Author(s):  
Erhan Alparslan ◽  
Cihangir Aydöner ◽  
Vildan Tufekci ◽  
Hüseyin Tüfekci
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Remote Sensing Techniques

Establishment and Application of Water Quality Assessment Model for Jiaozhou Bay Basin

2012 ◽  
Vol 518-523 ◽  
pp. 1165-1170 ◽  
Author(s):  
Chao Liu ◽  
Hui He ◽  
Xiao Hui Tan ◽  
Ai Li Gao ◽  
Song Xue
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Bp Neural Network ◽  
Jiaozhou Bay ◽  
Water Quality Assessment ◽  
Training Sample ◽  
Assessment Method ◽  
Assessment Model ◽  
Water Quality Status ◽  
Effectiveness Of Training

In this paper, a comprehensive water quality assessment model for the seagoing rivers of the Jiaozhou Bay basin was established based on a BP neural network. In the situation investigation, a list of main assessment indexes was selected, comprising COD, permanganate, DO, ammonia, volatile hydroxybenzene and mineral oil. Then Environmental Quality Standards for Surface Water was used as the training sample and comprehensive assessment was conducted for the rivers. In Comparison with results from the conventional single-factor assessment method, this model not only responded to the comprehensive river water quality status, but also improved the speed and effectiveness of training, saving time and increasing accuracy of the assessment model through a series of design optimizations.

Sign in / Sign up

Export Citation Format

Share Document