Developing natural resource models using the object modeling system: feasibility and challenges

Ahuja, Lajpat R.; Ascough, J. C.; David, Olaf

doi:10.5194/adgeo-4-29-2005

Cited by 39 publications

(23 citation statements)

References 14 publications

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“…for which they were designed. However, they are frequently limited because several factors: by the specific scale for which they were conceived, by a very specific purpose, by a non-modular structure, by a difficulty to update them or connect them to other models, and their lack of flexibility to perform more integral analyses that satisfy the present demands of IWRM (Ahuja et al 2005).…”

Section: The Integrated Water Resources Management and Its Instrumentmentioning

confidence: 99%

Mathematical Modelling for the Integrated Management of Water Resources in Hydrological Basins

Silva-Hidalgo

Martín-Domínguez

Alarcón-Herrera

et al. 2008

Water Resour Manage

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Mathematical models are tools that can facilitate the instrumentation of the Integrated Water Resources Management (IWRM). The first basin models to be developed were completely hydrological; today, due to the urgent need to plan the sustainable use of water resources, new models are needed that in addition to hydrology also incorporate social, economic, legal, environmental and other aspects. The objective of this work was to identify the characteristics that mathematical basin models must have in order to satisfy the requirements of IWRM. To achieve this, the conclusions of the main international conferences on water and the environment were analyzed; these were conferences in which IWRM was promoted as a strategy to face the challenges of both sectors. IWRM considers social participation as a key element in the decision-making process; consequently, the models must be accepted 722 H. Silva-Hidalgo et al. and applied, and their results interpreted, by those who participate in the process even if they are not modelling experts. This requires a change of perspective in the scientific community for the development of new IWRM models, in government institutions regarding their role as water administrators, and in water stakeholders regarding their role as decision-makers. The results of the analysis indicate that models for IWRM must be accessible to non-expert users, integrate different viewpoints, representing adequately the problem to be solved, in addition be flexible and have a structure focused on practical solutions.

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Section: The Integrated Water Resources Management and Its Instrumentmentioning

confidence: 99%

Mathematical Modelling for the Integrated Management of Water Resources in Hydrological Basins

Silva-Hidalgo

Martín-Domínguez

Alarcón-Herrera

et al. 2008

Water Resour Manage

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“…The Object Modelling System (OMS) was developed by the US Department of Agriculture (David et al, 2013;Kralisch et al, 2004;Ahuja et al, 2005). In contrast to FRAMES and some other systems, OMS requires modules to be rewritten in Java prior to insertion into the system library.…”

Section: Recent Developmentsmentioning

confidence: 99%

Integrated environmental modelling: achieving the vision

Moore

Hughes

2016

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Integrated Environmental Modelling (IEM) is a recent phenomenon which offers the opportunity to solve complex environmental problems. Whilst it has made great strides in recent years, there are still challenges to be met before IEM is universally accepted and used. This paper describes the current state of IEM and sets out a road map for achieving its full potential. A multi-disciplinary, multi-agency approach will be required whose main goals are to: (1) raise awareness and build confidence in IEM; (2) ensure availability and accessibility of IEM techniques, tools and standards; (3) establish a minimum set of standards; (4) build the IEM skills base; (5) establish an underpinning R & D programme; (6) co-ordinate and promote collaboration; and (7) foster IEM use by government, industry and the public. Once these goals have been achieved then IEM can be deployed to help resolve currently intractable environmental issues and the IEM methodology can be transferred to other fields.

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“…The goal of this research objective was to develop new computer modeling tools that can be used to quantify the environmental impacts of conservation practices at field to watershed scales and can be customized to address regional issues. An object modeling system (OMS) (Ahuja et al 2005) with a modular modeling structure has been developed to incorporate a library of models that can be independently evaluated, improved, and substituted. The OMS is being used as the framework for developing nextgeneration models that incorporate: (1) improved simulation of conservation practices and management effects, (2) improved field to watershed scaling techniques, (3) better integration of overland transport and channel processes, and (4) new methods of assessing model uncertainty.…”

Section: Journal Of Soil and Water Conservationmentioning

confidence: 99%

The Conservation Effects Assessment Project benchmark watersheds: Synthesis of preliminary findings

Richardson¹,

Bucks²,

Sadler³

2008

Journal of Soil and Water Conservation

100

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The USDA has provided technical assistance and cost sharing to farmers and ranchers for implementing conservation practices on privately owned working lands since the 1930s. The primary purpose of the assistance programs has been to "improve the productivity of US farms and ranches and to protect the 'natural resource base' that sustained the agricultural enterprise" (Cox 2006). Conservationists have recognized for many years that these conservation programs protect millions of acres of farm and ranch lands from degradation. Research over the past fifty Abstract: The Conservation Effects Assessment Project was established to quantify the environmental impacts of USDA conservation programs. The Conservation Effects Assessment Project involves multiple watershed assessment studies designed to provide a scientific basis for a national assessment. The USDA Agricultural Research Service established 14 research sites-benchmark watersheds-to measure regionally specific environmental quality effects of conservation practices and to improve and validate models used by the USDA Natural Resources Conservation Service for their national assessment. Within each watershed, data were collected and continue to be collected to provide insight into the effects of specific conservation practices implemented under programs such as the Environmental Quality Incentives Program and the Conservation Reserve Program. A data storage and management system, Sustaining the Earth's Watersheds-Agricultural Research Data System (STEWARDS), was developed to provide easy accessibility to these data for analysis. Models were validated using data from many of the watersheds and were shown to be valuable tools for extrapolating the results for a national assessment. The physical process models were also combined with economic models to optimize tradeoffs among environmental and economic objectives of conservation practices. The benchmark watershed studies have begun to identify the effects of selected conservation practices, although additional data are required to provide definitive results. A prototype of a new modular modeling system has been developed that will provide a more powerful tool for future analyses. The initial Conservation Effects Assessment Project findings and products demonstrate progress toward the overall goals of quantifying conservation practice effects and providing tools to transfer the knowledge to points where they are applied under future conservation policy.

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Developing natural resource models using the object modeling system: feasibility and challenges

Cited by 39 publications

References 14 publications

Mathematical Modelling for the Integrated Management of Water Resources in Hydrological Basins

Mathematical Modelling for the Integrated Management of Water Resources in Hydrological Basins

Integrated environmental modelling: achieving the vision

The Conservation Effects Assessment Project benchmark watersheds: Synthesis of preliminary findings

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