Public-Oriented Interactive Environmental Decision Support System

2007 ◽  
pp. 371-390
Author(s):  
Yoav Bornstein ◽  
Ben Dayan ◽  
Scott Wells ◽  
Mashor Housh

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.


2020 ◽  
Vol 12 (15) ◽  
pp. 6012
Author(s):  
Abolghasem Sadeghi-Niaraki ◽  
Mohammadreza Jelokhani-Niaraki ◽  
Soo-Mi Choi

The need for in-depth and fast observation of waste pollutions, increase in public concerns on environmental pollution and the effect of polluted environment on the physical and mental health of people have led to participatory environmental monitoring and protection. Citizens can act as volunteer, interactive, group, logical, smart, responsible, mobile, and dispersed observers/sensors to constantly monitor their surroundings and provide real-time data of waste pollutions that are not easily remotely sensed. The concept of volunteered geographic information (VGI) can be adopted as an effective phenomenon for participatory collection of environmental pollution data. However, the research problem is how to effectively use these citizen-contributed or volunteered information for waste management analyses and decision-making processes. Consequently, the objective of the present study is to develop a VGI-based environmental decision support tool that facilitates direct involvement of the public in generating waste pollution data and provides appropriate GIS-MCDA (multicriteria decision analysis) analytical tools for waste management and decision making using the citizen-contributed data. A web-based prototype of the decision support system was developed to demonstrate the practical feasibility, applicability and some functionalities of the system for pollution-related decision analyses.


2012 ◽  
Vol 47 ◽  
pp. 44-55 ◽  
Author(s):  
Dario Garcia-Gasulla ◽  
Manel Poch ◽  
Juan Carlos Nieves ◽  
Ulises Cortés ◽  
Claudia Turon

2015 ◽  
Vol 17 (6) ◽  
pp. 874-890 ◽  
Author(s):  
Saurav Kumar ◽  
Adil N. Godrej ◽  
Thomas J. Grizzard

An environmental decision support system (EDSS) was designed for the Occoquan system in Northern Virginia, USA. This EDSS is available through the internet using web-browsers, and enables stakeholders to interact with complexly-linked water resources models for the Occoquan system based on seven implementations of HSPF and two implementations of CE-QUAL-W2 software. Using the web-interface of the EDSS, users may delineate land use changes and simulate the water quality impact of such changes by remotely executing the water resources models. The EDSS utilizes a server cluster to share the computational load of simultaneously executing multiple instances of the linked Occoquan system models along with methods to limit ‘similar’ model executions. The server cluster was assembled from disparate machines with spare computing resource available on the local network, thereby eliminating the need for any additional hardware to execute an increased number of model simulations. It is expected that the enhanced accessibility to the water resources models through the EDSS may allow stakeholders to use the models as a planning and educational resource, without direct expert modeler's involvement. Further, this EDSS is comprised of modules that may be extended to other watersheds with similar legacy, calibrated modeling systems.


2020 ◽  
Vol 81 (8) ◽  
pp. 1778-1785 ◽  
Author(s):  
Lluís Godo-Pla ◽  
Pere Emiliano ◽  
Santiago González ◽  
Manel Poch ◽  
Fernando Valero ◽  
...  

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.


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