- Robust PCG5 Module up to 20 times faster than PCG4 solver. (Developed by Dr. Peter Forsyth at the University of Waterloo.)
- Density-dependent flow and transport
- Time-varying material properties
- Fully and variably saturated flow and transport modeling
- Reaction Module with several reactions of mobile and immobile chemical component species—invaluable for modeling biodegradation of industrial contaminants
- Curvilinear Grid option for non-rectangular grids in the areal plane
- Prescribed-ponding recharge and seepage face conditions, as well as delayed yield
- Adaptive time-stepping to promote stability and convergence for flow and transport simulations
- Recharge package that eliminates unphysical predictions for unconfined systems
- Total Variation Diminishing (TVD) schemes for no-oscillation transport solutions with adaptive temporal weighting
- Vapor flow for soil vapor extraction (SVE) and air sparging simulations
- Multiphase, multicomponent contaminant transport modeling with biodegradation
- Robust and efficient Newton-Raphson solver for nonlinear problems
- Fractured porous media simulation with dual porosity
- Pentium PC
MODHMS， 是HGL公司最新的和最先進的軟體，其擁有與主流的MODFLOW軟體的無縫介面，可提供一個基於物理空間分佈的結膜表面/亞表面水文系統建模框架。為了 滿足日益增長的對水文系統中的可用水資源進行量化的需求和對複雜水文過程的模擬需求，MODHMS對現有的MODFLOW-SURFACT地下水模型代碼 進行了延伸，使之也適用於地表和管道水流和輸運問題的研究。我們利用這些工具，為水資源管理者們提供了無與倫比的能力來進行完整的水文迴圈的模擬，解決複 雜的水源管理問題，如：
- 可用於預算用途 。
- a Pentium PC
PBMO™ TOOLKIT —PBMO™ MEDALLION SYSTEM FOR GLOBAL OPTIMIZATION WITH MULTI-MODAL OBJECTIVE FUNCTION
HydroGeoLogic, Inc. is proud to present our comprehensive physics-based management optimization (PBMO™) toolkit. At HGL, we have been developing and applying simulation tools and services to environmental site investigation and remediation programs for over 20 years. We have recently extended our suite of tools to address optimization of: environmental restoration programs; water resources management; mining dewatering operation design; and energy production management. HGL uses three powerful types of tools to guide managers in making better decisions. These are simulation, optimization, and probability/geostatistics. Simulation gives us the ability to test various design options for improvement and predict their performance. Optimization allows us to compare alternative outcomes and thereby narrow our choices to the very best among the feasible options. Finally, probability and (geo)statistics enable us to measure the risk and level of confidence associated with each solution and to fully examine the data to identify valuable connections and insights, to test conclusions, and to make reliable forecasts.
Recognizing the need to do more with less, the Environmental Protection Agency has developed a strategy for applying optimization nationwide at Superfund sites. In addition, the Department of Defense has adopted the Performance-Based Contracting approach requiring contractors to do more with less in achieving cleanup objectives.
In view of these requirements, PBMO™ is distinguished by a number of important features and capabilities to develop cost-efficient and sustainable remedial designs, perform remedy-in-place evaluations, assess operation and maintenance of systems, and develop optimal exit and site completion strategies. Unique among remediation optimization approaches, the PBMO™ Toolkit applies to the broadest range of remediation challenges by linking with HGL's state-of-the-art physics-based modeling tools (MODHMS® and MODFLOW-SURFACT) for surface and groundwater plume tracking, long-term monitoring optimization, optimal remedial design, and optimal source finding. Another advantage of PBMO™ is that it is model independent, so it can be connected with any flow and transport simulator. Most importantly, PBMO™'s modular organizing logic allows decision makers to deploy a unique blend of physics-based simulators with machine learning, expert systems (management criteria), and formal optimization techniques than has heretofore been possible.
WATER RESOURCE EVALUATION
Demand for our world's decreasing water supply continues to accelerate beyond what many argue is a sustainable rate of use. Estimates from the U.S. Geological Survey and the International Water Management Institute claim that nearly 1 billion people lack access to safe drinking water due to increasing irrigation, industrial and domestic uses. In addition to competing stakeholder demands, nations continue to experience significant climate-driven flooding and drought events that make managing this resource ever more complex. Given this outlook and increasing regulatory pressures at the basin and watershed level to monitor and manage this resource, it is imperative that decision makers have smart tools that assist them in optimizing sustainable outputs from our surface and groundwater resources, minimizing losses and mitigating risks due to floods and drought conditions.
PBMO™ is designed to support water resource managers and decision makers by optimizing the management of available resources among many constraints, competing interests and variables. The PBMO™ toolkit integrates linear and non-linear management optimization modules with MODFLOW-SURFACT™/MODHMS®, HGL’s complete simulator for flow and transport in the groundwater and surface water systems. The coupling of optimization with robust modeling tools enables the user to efficiently manage and allocate water resources, control and mitigate flooding conditions, and optimally manage drought conditions. These tools provide water resource managers with unsurpassed capability to simulate the complete hydrological cycle and address complex water resource management issues.
Mining and extraction operations produce valuable materials that are incorporated into products and serve as the foundation for the infrastructure networks that connect markets throughout the world. Energy costs to extract these materials are rising and, in some cases, groundwater resources are being consumed beyond a sustainable level. At HGL, we understand the need to reduce costs to bring these materials to market safely, sustainably, and at a price point that keeps world economies vibrant.
We have tailored PBMO™ to support open earth mining operations as well as gas extraction from shale beds and coal seams. The PBMO™ toolkit provides optimal methods for managing mine operations to achieve significant and practical operational improvements pertaining to site-wide mine water management, impacts from mine dewatering, and maintenance of optimal schedules and operational productivity. PBMO™ can incorporate uncertainties, such as changing market demands, variation in ore quality, and hydrogeological responses to extraction as well as other other management criteria, to produce optimal and contingent plans. Automated optimal design search strategies provided by PBMO™ facilitate the rapid generation of optimal designs in concert with various management preferences and constraints.
Energy is the driving force behind global economic development. Developed nations have relied on natural resources such as oil and coal to fuel their growth, however, we clearly recognize the current path of depleting these non-renewable resources we face today is not a sustainable path for our future. In the U.S., energy-focused regulations are largely shaping behaviors within our government. Federal agencies are taking bold steps to reduce facility and operational energy consumption and transition to renewable energy sources that increase energy security, reduce energy consumption, decrease carbon footprint, and provide clean energy for the benefit of future generations. State governments, utilities and private enterprises alike are joining the path toward renewables and embracing smart grids, control technologies and strategies to incentivize and increase energy conservation in homes and industrial facilities.
At HGL, we recognize that energy production and distribution is increasingly complex to manage. PBMO™ can assist decision makers and managers in optimizing outcomes for emerging smart grid technologies and create operating procedures that maximize outcomes for the mixture of existing power production systems and renewables. The PBMO™ Toolkit supports an optimal dispatch program for regional grid operations using an automated, adaptive, and self-learning electric power predictive response module. The Toolkit contains a Program Management module to guide program and project managers in technology investments. This module was recently used by the Department of Energy to support optimal selection of technology components for low greenhouse gas power plant design. The Toolkit has also been used to provide economic value analysis of integrating renewable energy sources into an existing electrical grid.