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Full-Text Articles in Physical Sciences and Mathematics
Fast Neural Network Surrogates For Complex Groundwater Flow Models, Niels Schütze, Tirthankar Roy
Fast Neural Network Surrogates For Complex Groundwater Flow Models, Niels Schütze, Tirthankar Roy
International Conference on Hydroinformatics
Surrogate modeling approach has been adopted in the study to replace computationally expensive physical-based numerical flow and transport model. Two approximate surrogate models namely, Artificial Neural Network (ANN) and Gaussian Process Model (GPM) are developed individually using a scenario database generated from the density dependent numerical flow and transport model OpenGeoSys (OGS). The state-space surrogates have the flexibility to move freely from one point to another within a time frame of decades and also to allow for moderate extrapolation in the case of extreme abstractions. The performance of the GPM was better in many cases with a little compromise on …
Optimization Of Groundwater Remediation With New Efficient Parallel Algorithm For Global Optimization, Min Pang, Christine A. Shoemaker
Optimization Of Groundwater Remediation With New Efficient Parallel Algorithm For Global Optimization, Min Pang, Christine A. Shoemaker
International Conference on Hydroinformatics
Application of optimization algorithm to PDE modeling groundwater remediation can greatly reduce remediation cost. However, groundwater remediation analysis requires a computational expensive simulation, therefore, effective parallel optimization could potentially greatly reduce computational expense. The optimization algorithm used in this research is Parallel Stochastic radial basis function. This is designed for global optimization of computationally expensive functions with multiple local optima and it does not require derivatives. In each iteration of the algorithm, an RBF is updated based on all the evaluated points in order to approximate expensive function. Then the new RBF surface is used to generate the next set …
Hydrogeological Modelling Of Contaminated Area In Tegal, Indonesia, Sapari Dwi Hadian, Syarif Ali, Rifky Meisa, Nursiyam Barkah
Hydrogeological Modelling Of Contaminated Area In Tegal, Indonesia, Sapari Dwi Hadian, Syarif Ali, Rifky Meisa, Nursiyam Barkah
International Conference on Hydroinformatics
Small and Medium Enterprises metal smelting in Tegal has been existed since more than 50 years ago. This metal smelting process produces heavy metal waste such as zinc, iron, aluminum and copper which exceed the limit and contaminate the water. These hazardous and toxic wastes are disposed directly into the environment without adequate treatment to remove harmful compounds, thus alleged to have a high level of pollution to groundwater and surface water. The aim of the study is to obtain geological and hydrogeological condition of the study area, so that would be obtained the groundwater impurity pattern in the study …
Does The Risk Of Groundwater Depletion Drive Tube-Well Technology Adoption: A Case Of Pakistan, Arif Watto, Amin Mugera
Does The Risk Of Groundwater Depletion Drive Tube-Well Technology Adoption: A Case Of Pakistan, Arif Watto, Amin Mugera
International Conference on Hydroinformatics
We employ a moment-based approach to empirically analyse farmer’s decisions about adoption of tube-well technology under depleting groundwater resources using a farm level data from 200 farming households in the Punjab province, Pakistan. The results indicate that the higher the expected profit the greater the probability of adoption. Similarly, with increasing variance the probability of adopting tube-well increases significantly indicating that farmers choose to adopt tube-well technology in order to hedge against production risks. Statistical non-significant the third moment i.e., skewness indicates that farmer generally do not consider downside yield risk when decide to adopt tube-well technology whereas highly significant …
Levels Of Data Interoperability In The Emerging North American Groundwater Data Network, Boyan Brodaric, Nate Booth, Eric Boisvert, Jessica Lucido
Levels Of Data Interoperability In The Emerging North American Groundwater Data Network, Boyan Brodaric, Nate Booth, Eric Boisvert, Jessica Lucido
International Conference on Hydroinformatics
The Canadian Groundwater Information Network (GIN) and the US National Ground-Water Monitoring Network (NGWMN) connect data from a variety of sources including states, provinces and federal agencies. Data heterogeneity is a major challenge faced by these networks, one that must be overcome at five distinct levels: systems, syntax, structure, semantics, and pragmatics. This paper discusses approaches taken at each of the five levels to ensure interoperability between the Canadian and American networks. The result is an emerging North American Groundwater Data Network, which enables users to access data transparently and uniformly on either side of the shared border.