Application of an Environmental Decision Support System to a Water Quality Trading Program Affected by Surface Water Diversions

2008 ◽  
Vol 42 (6) ◽  
pp. 946-956 ◽  
Author(s):  
Christopher C. Obropta ◽  
Mehran Niazi ◽  
Josef S. Kardos
Keyword(s):  
Water Quality ◽  
Decision Support ◽  
Surface Water ◽  
Decision Support System ◽  
Support System ◽  
Water Quality Trading ◽  
Water Diversions ◽  
Trading Program ◽  
Environmental Decision

scholarly journals Environmental Decision Support Systems as a Service: Demonstration on CE-QUAL-W2 Model

2021 ◽  
Author(s):  
Yoav Bornstein ◽  
Ben Dayan ◽  
Scott Wells ◽  
Mashor Housh
Keyword(s):  
Water Quality ◽  
Cloud Computing ◽  
Decision Support ◽  
Decision Support System ◽  
Software Development ◽  
Decision Support Systems ◽  
Support System ◽  
Low Cost ◽  
Environmental Decision Support Systems ◽  
Environmental Decision

An Environmental Decision Support System (EDSS) can be used as an important tool for rehabilitation and preservation of ecosystems. Nonetheless, high assimilation costs (both money and time) are one of the main reasons that these tools are not widely adapted in practice. This work presents a low-cost paradigm of "EDSS as a Service", this paradigm is demonstrated for developing Water Quality EDSS as a Service that utilizes the well-known CE-QUAL-W2 model as a kernel for deriving optimized decisions. The paradigm is leveraging new open-source technologies in software development (e.g. Docker, Kubernetes, and Helm) with cloud computing in order to significantly reduce assimilation costs of the EDSS for organizations and researchers working on rehabilitation and preservation of water bodies.

scholarly journals Implementation of an environmental decision support system for controlling the pre-oxidation step at a full-scale drinking water treatment plant

2020 ◽  
Vol 81 (8) ◽  
pp. 1778-1785 ◽  
Author(s):  
Lluís Godo-Pla ◽  
Pere Emiliano ◽  
Santiago González ◽  
Manel Poch ◽  
Fernando Valero ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Decision Support ◽  
Water Treatment ◽  
Decision Support System ◽  
Predictive Model ◽  
Support System ◽  
Drinking Water Treatment ◽  
Oxidation Step ◽  
Environmental Decision

Abstract Drinking water treatment plants (DWTPs) face changes in raw water quality, and treatment needs to be adjusted to produce the best water quality at the minimum environmental cost. An environmental decision support system (EDSS) was developed for aiding DWTP operators in choosing the adequate permanganate dosing rate in the pre-oxidation step. To this end, multiple linear regression (MLR) and multi-layer perceptron (MLP) models are compared for choosing the best predictive model. Besides, a case-based reasoning (CBR) model was approached to provide the user with a distribution of solutions given similar operating conditions in the past. The predictive model consisted of an MLP and has been validated against historical data with sufficient good accuracy for the utility needs (R2 = 0.76 and RSE = 0.13 mg·L−1). The integration of the predictive and the CBR models in an EDSS gives the user an augmented decision-making capacity of the process and has great potential for both assisting experienced users and for training new personnel in deciding the operational set-point of the process.

Sign in / Sign up

Export Citation Format

Share Document