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010   $a94-007-5152-4
024 7 $a10.1007/978-94-007-5152-1
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035   $a(EBL)1030878
035   $a(OCoLC)854968883
035   $a(SSID)ssj0000898502
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035   $a(PQKBTitleCode)TC0000898502
035   $a(PQKBWorkID)10921628
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035   $a(DE-He213)978-94-007-5152-1
035   $a(MiAaPQ)EBC1030878
035   $a(PPN)170494195
035   $a(EXLCZ)992670000000372411
100   $a20130524d2013      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aApplication of Nature Based Algorithm in Natural Resource Management /$fedited by Mrinmoy Majumder, Rabindra Nath Barman
205   $a1st ed. 2013.
210  1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2013.
215   $a1 online resource (347 p.)
300   $aDescription based upon print version of record.
311 08$a94-007-9487-8 
311 08$a94-007-5151-6 
320   $aIncludes bibliographical references and index.
327   $aFrom the Contents: 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 -- Comparison of Neuro-Fuzzy techniques in estimation of Extreme Events -- Comparison of Conceptual and Nature Based Models in prediction of subsurface flow.
330   $aThe 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.
606   $aPhysical geography
606   $aClimatology
606   $aEnvironmental sciences$xMathematics
606   $aRenewable energy sources
606   $aConservation biology
606   $aEcology
606   $aEarth System Sciences
606   $aClimate Sciences
606   $aMathematical Applications in Environmental Science
606   $aRenewable Energy
606   $aConservation Biology
615  0$aPhysical geography.
615  0$aClimatology.
615  0$aEnvironmental sciences$xMathematics.
615  0$aRenewable energy sources.
615  0$aConservation biology.
615  0$aEcology.
615 14$aEarth System Sciences.
615 24$aClimate Sciences.
615 24$aMathematical Applications in Environmental Science.
615 24$aRenewable Energy.
615 24$aConservation Biology.
676   $a333.7
701   $aMajumder$b Mrinmoy$0875357
701   $aBarman$b Rabindra Nath$01756384
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437942403321
996   $aApplication of nature based algorithm in natural resource management$94193629
997   $aUNINA