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Coupling of Ecological and Water Quality Models for Improved Water Resource and Fish Management

Coupling of Ecological and Water Quality Models for Improved Water Resource and Fish Management
Author: Dorothy Hamlin Tillman
Publisher:
Total Pages:
Release: 2010
Genre:
ISBN:

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In recent years new ideas for nutrient management to control eutrophication in estuarine environments have been under consideration. One popular approach being considered in the Chesapeake Bay Program is called the "top down" approach based on the premise that restoring algal predators, such as oysters and menhaden, will limit excess phytoplankton production and possibly eliminate costly nutrient control programs. The approach is being considered to replace or use in conjunction with the "bottom up" approach of reducing nutrient loads. The ability to model higher trophic levels such as fish, as well as the eutrophication processes driving production of primary producers in an aquatic ecosystem is needed. CE-QUAL-ICM (ICM) and Ecopath were two models selected for this research. ICM is a time- and spatial-varying eutrophication model that uses nutrient loads to predict primary producers, while Ecopath is a static mass balance model representing an average time period (e.g., season or year) and uses values of primary producers and other groups to predict fish biomass. Linking the two models will provide the means of going up the food chain by trophic levels. The Chesapeake Bay was chosen as the study site since both models are in use there. Before coupling ICM and Ecopath, common links between the two models were found. Ten groups were identified with such variables as production rates, consumption rates, and unassimilated food/consumption. A post-processor/subroutine was developed for ICM to aggregate output data from 3-D to 0-D to be used in Ecopath. Two Ecopath runs were developed with data from ICM and the Chesapeake Bay (CB) Ecopath model to see how network interactions differed with data representing the same system. Four additional runs were made, creating perturbations (i.e., increased phytoplankton production) using the CB Ecopath model and replacing the primary producers with data from ICM. Final runs of ICM were conducted looking at adjusting three parameters to try to restore the Bay back to 1950 conditions. It was demonstrated that ICM data can be coupled with Ecopath to study management strategies in eutrophication. Because of model formulations there was no data exchange from Ecopath back to ICM.


Artificial Intelligence and Modeling for Water Sustainability

Artificial Intelligence and Modeling for Water Sustainability
Author: Alaa El Din Mahmoud
Publisher: CRC Press
Total Pages: 311
Release: 2023-04-25
Genre: Technology & Engineering
ISBN: 100082974X

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Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures. FEATURES Provides cutting-edge AI applications in water sector. Highlights the environmental models used by experts in different countries. Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater. Includes case studies and recent research directions for environmental issues in water sector. Addresses future aspects and innovation in AI field related to watersustainability. This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.


Water Quality Modeling

Water Quality Modeling
Author: R. Manivanan
Publisher: New India Publishing
Total Pages: 332
Release: 2008
Genre: Technology & Engineering
ISBN: 9788189422936

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Water Is An Important Element For Life On The Earth. It Is An Essential Natural Resource For Environmental Sustenance. In India, Water Quality Modeling Studies Are Carried Out From Fresh Water To Marine Water Ecosystems. Some Of Examples Are Tehri Reservoir, Chilka Lake, Dal Lake At Kashmir, Kodaikanal Lake, Ooty Lake At Tamil Nadu, Rivers Like Ganges, Narmada, Kaveri, And Coastal Regions Like Hoogly Estuary, Paradip, Vishakapatnam, Kakinada, Chennai, , Tutucorin, Mangalore Coast, Kongan Coast And Gujarat Coast.


Coupling of Land and Water Systems

Coupling of Land and Water Systems
Author: Arthur Davis Hasler
Publisher: Springer
Total Pages: 338
Release: 1975
Genre: Nature
ISBN:

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Nutrient-hydrologic interaction (eastern united states). Balances in man-made lakes (bohemia). Bog mires and their influence on landscapes. Effects of marshes on water quality. Mangrove forests and aquatic productivity. Food relations and behavior of salmonid fishes. Natural and modified plant communities as related to runoff and sediment yields. Landscapes of river basins. Trophic conditions of italian lakes as a consequence of human pressures. The supply of minerals to tropical rivers and lakes (uganda). Ecological interactions between land and the littoral zones of lakes (masurian lakeland, poland). Silica and nitrate depletion as related to rate of eutrophication in lakes michigan, huron and superior.


Water Quality Modelling for Rivers and Streams

Water Quality Modelling for Rivers and Streams
Author: Marcello Benedini
Publisher: Springer Science & Business Media
Total Pages: 292
Release: 2013-02-11
Genre: Science
ISBN: 9400755090

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The main objective of the Water Framework Directive in the European countries is to achieve a “good status” of all the water bodies, in the integrated management of river basins. In order to assess the impact of improvement measures, water quality models are necessary. During the previous decades the progress in computer technology and computational methods has supported the development of advanced mathematical models for pollutant transport in rivers and streams. This book is intended to provide the fundamental knowledge needed for a deeper understanding of these models and the development of new ones, which will fulfil future quality requirements in water resources management. This book focuses on the fundamentals of computational techniques required in water quality modelling. Advection, dispersion and concentrated sources or sinks of contaminants lead to the formulation of the fundamental differential equation of pollutant transport. Its integration, according to appropriate initial and boundary conditions and with the knowledge of the velocity field, allows for pollutant behaviour to be assessed in the entire water body. An analytical integration is convenient only in one-dimensional approach with considerable simplification. Integration in the numerical field is useful for taking into account particular aspects of water body and pollutants. To ensure their reliability, the models require accurate calibration and validation, based on proper data, taken from direct measurements. In addition, sensitivity and uncertainty analysis are also of utmost importance. All the above items are discussed in detail in the 21 chapters of the book, which is written in a didactic form for professionals and students.


Uncertainty and Forecasting of Water Quality

Uncertainty and Forecasting of Water Quality
Author: M.B. Beck
Publisher: Springer Science & Business Media
Total Pages: 382
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 3642820549

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Since the International Institute for Applied Systems Analysis began its study of water quality modeling and management in 1977, it has been interested in the relations between uncertainty and the problems of model calibration and prediction. The work has focused on the theme of modeling poorly defined environmental systems, a principal topic of the effort devoted to environmental quality control and management. Accounting for the effects of uncertainty was also of central concern to our two case studies of lake eutrophication management, one dealing with Lake Balaton in Hungary and the other with several Austrian lake systems. Thus, in November 1979 we held a meeting at Laxenburg to discuss recent method ological developments in addressing problems associated with uncertainty and forecasting of water quality. This book is based on the proceedings of that meeting. The last few years have seen an increase in awareness of the issue of uncertainty in water quality and ecological modeling. This book is relevant not only to contemporary issues but also to those of the future. A lack of field data will not always be the dominant problem for water quality modeling and management; more sophisticated measuring techniques and more comprehensive monitoring networks will come to be more widely applied. Rather, the important problems of the future are much more likely to emerge from the enhanced facility of data processing and to concern the meaningful interpretation, assimilation., and use of the information thus obtained.


Assessing the Sustainability and Biological Integrity of Water Resources Using Fish Communities

Assessing the Sustainability and Biological Integrity of Water Resources Using Fish Communities
Author: Thomas P. Simon
Publisher: CRC Press
Total Pages: 692
Release: 2020-08-26
Genre: Science
ISBN: 1000102882

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This book examines the application of fish community characteristics to evaluate the sustainability and biological integrity of freshwaters. Topics include perspectives on use of fish communities as environmental indicators in program development, collaboration, and partnership forming; influence of specific taxa on assessment of the IBI; regional applications for areas where the IBI had not previously been developed; and specific applications of the IBI developed for coldwater streams, inland lakes, Great Lakes, reservoirs, and tailwaters.