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  • Gebundenes Buch

The book describes the utility and efficiency of nature based algorithms in optimization, classification and simulation of natural resource management problems.The book deals with climate change, hydrology, renewable energy and natural ecosystems and tries to find solution to its common uncertainties so that proper mitigation steps can be undertaken to reduce both quantity and probability of such anomalies. The book aims to propose some methodologies which can help related engineers and planners to mitigate the common abnormalities that exist to derail the equilibrium of a natural ecosystem and its biotic as well as abiotic components.…mehr

Produktbeschreibung
The book describes the utility and efficiency of nature based algorithms in optimization, classification and simulation of natural resource management problems.The book deals with climate change, hydrology, renewable energy and natural ecosystems and tries to find solution to its common uncertainties so that proper mitigation steps can be undertaken to reduce both quantity and probability of such anomalies. The book aims to propose some methodologies which can help related engineers and planners to mitigate the common abnormalities that exist to derail the equilibrium of a natural ecosystem and its biotic as well as abiotic components.
  • Produktdetails
  • Verlag: Springer / Springer Netherlands
  • Artikelnr. des Verlages: 86081761, 978-94-007-5151-4
  • Seitenzahl: 290
  • Erscheinungstermin: Juli 2013
  • Englisch
  • Abmessung: 241mm x 160mm x 24mm
  • Gewicht: 705g
  • ISBN-13: 9789400751514
  • ISBN-10: 9400751516
  • Artikelnr.: 36021985
Autorenporträt
Mrinmoy Majumder is presently working as an Assistant Professor of School of Hydro-Informatics Engineering in National Institute of Technology Agartala,India.He has completed his PhD in 2010 from Jadavpur University. Presently he is doing his teaching and research on Hydro-informatics, Natural resource management and Nature based algorithms. He has published more than 25 papers in various national and international journals and has written 3 books.

Rabindra Nath Barman is presently working as an Assistant Professor of Department of Production Engineering in National Institute of Technology Agartala,India. He has completed his PhD from Jadavpur University in the year of 2012.He is interested in fluid mechanics and water resource principles. He has published more than 25 papers in various national and international journals and has written a few book chapters.
Inhaltsangabe
Selection of Optimized Location for Eco-Parks with the help of Ant Colony Optimization.-
Application of Hive Theory for identification of suitable habitats for Porcupines.-
Tradeoff Analysis between Rainfall and Load Factor of a Small Scale Hydro Power Plant by Particle Swarm Optimization.-
Application of Artificial Neural Network in Short Term Rainfall Forecasting.-
Application of Genetic Algorithm for prediction of growth rate of Bufo Melanostictus in an Urban Forest.-
Comparison of Nature Based Algorithms in Impact Analysis of Climate Change on Water Resources.-
A Neuro-Fuzzy approach for selection of crops in vertical irrigation.-
Application of Neuro-Fuzzy techniques in estimation of Extreme Events.-
Impact of Climate Change on Selection of Sites for Lotus Cultivation.-
Comparison of Bat and Fuzzy Clusterization for Identification of Suitable Locations for Small Scale Hydropower Plant.-
Impact of Climate Change on Ecological Sensitivity of Wetlands.-
Impact of Climate Change on Hydrologic Sensitivity of Sunderban Reserve Forest.-
Fuzzy Based Impact Analysis Study on Site Selection of Tidal Power Plants due to Climate Change.-
Estimation of ground water quality from surface water quality variables of a tropical river basin by neuro-genetic models.-
Rating of Irrigation Canals with the help of Cognitive Indexes.-
CLIMAGE: A new software for prediction of short term weather with the help of satellite data and Neuro-fuzzy clustering.-
OPTIDAL : A new software for simulation of climatic impacts on tidal power.-
AGROSIM : A new model for prediction of water productivity from the crop characteristics.-
QUALTR : Software for simulating output from WTP in face of extreme events.-
Development of a Neuro-Fuzzy System for Selection of Tree Species for Afforestation Purpose.