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Earth Sciences & Geography - Earth System Sciences | Application of Nature Based Algorithm in Natural Resource Management

Application of Nature Based Algorithm in Natural Resource Management

Majumder, Mrinmoy, Barman, Rabindra Nath (Eds.)

2013, XV, 341 p. 40 illus., 26 illus. in color.

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  • Contains case studies showing the application of nature-based algorithms in management of natural resources
  • Highlights the impact of climate change, both short and long term, on management of watersheds in generating both energy and proceeds so that readers know the process to prevent and profit from any forthcoming natural disasters
  • These studies can be used as an example for finding solutions of the other maximization or minimization problems which are common in natural resource management.

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.

Content Level » Research

Keywords » Climate Change - Natural Resources - Nature Based Algorithm - Renewable Energy - Watershed Management

Related subjects » Climate Change Management and Policy - Earth System Sciences - Nature Conservation & Biodiversity - Renewable and Green Energy

Table of 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.-
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.

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