Abstract
Editorial: Integrated water management for enhanced water quality and reuse to create a sustainable future
Highlights
In this special issue, a total of 22 papers were selected for publication from an open call for papers in association with the 13th International Conference on Challenges in Environmental Science and Engineering, CESE-2020
The authors used a feed-forward back propagation neural network to predict the removal of heavy metals and COD using 90 data sets obtained over a period of three months from the rotating biological contactor (RBC)
The authors conducted 845 face-to-face interviews with potential consumers and the following interesting results were envisaged in their study: (a) attitudes and intended behaviours were driven by disgust, environmental sensitivity, risk perception, and type of water reuse, (ii) working women more reluctant than men to wastewater reuse, (iii) the farmers rejected the idea of wastewater reuse, and (iv) with the help of proper communication, farmers could strengthen the social acceptability of wastewater reuse, but with a loss of their wine customers
Summary
A total of 22 papers were selected for publication from an open call for papers in association with the 13th International Conference on Challenges in Environmental Science and Engineering, CESE-2020. According to the results, increasing the number of model inputs beyond three did not enhance the ANN performance, while the influent BOD and conductivity showed the highest effect on the effluent water quality.
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