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Impact of Land Use and Aquatic Plants on the Water Quality of the Sub-Tropical Alpine Wetlands in India: A Case Study Using Neuro-Genetic Models
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作者 Malabika Biswas Roy Pankaj K. Roy +2 位作者 Asis Mazumdar mrinmoy majumder Nihar R. Samal 《Journal of Water Resource and Protection》 2012年第8期576-589,共14页
The suspended and dissolved waste in the incoming storm water of wetlands largely depends on the adjacent land use which can influence the quality of the water body. The micro- and macro-floral population of a wetland... The suspended and dissolved waste in the incoming storm water of wetlands largely depends on the adjacent land use which can influence the quality of the water body. The micro- and macro-floral population of a wetland can absorb, convert, transform and release different organic or inorganic elements, which can also change or impact the overall quality of the wetland water. The present study investigates the influence of the land use and the plant species in the waterbed on the water quality of a high-altitude, sub-tropical wetland in India. The estimation capabilities of neuro-genetic models were utilized to identify the inherent relationships between the Biochemical Oxygen Demand (BOD), Dissolved Oxygen (DO), chlorine (Cl) and Chemical Oxygen Demand (COD) with the land use and wetland zoology. A thematic map of the quality parameters was also generated based on the identified relationship to observe the influence that the morphological and biological diversity in and around the study area has on the quality parameters of the wetland. According to the results, the BOD, COD and Cl were found to vary with differences in land use and the presence of different plant species, whereas the DO was found to be largely invariant with changes in these parameters. The reasons may be contributed to the impact of uncontrolled eco-tourism activities around the wetland. 展开更多
关键词 WETLAND Neural Network Water Quality LAND Use AQUATIC Plants
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基于自然的算法在资源管理中的应用
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作者 mrinmoy majumder 全元 《国外科技新书评介》 2014年第9期14-14,共1页
本书是由Mrinmoy Majumder与Rabindra Nath Barman等人对基于自然的算法在资源领域应用的概述。 全书总共有4个部分,第1部分新的基于自然的算法,含第1—5章:1.论述了蚁群算法(ant colony optimization)在生态公园等生态旅游项目... 本书是由Mrinmoy Majumder与Rabindra Nath Barman等人对基于自然的算法在资源领域应用的概述。 全书总共有4个部分,第1部分新的基于自然的算法,含第1—5章:1.论述了蚁群算法(ant colony optimization)在生态公园等生态旅游项目选址中的应用;2.关于蜂巢理论(hive theory)在豪猪(porcupine)栖息地选择的过程中的应用;3.关于粒子群算法(particle swarnl optimization)在小型水电站效率优化方面的应用;4.关于人工神经网络(artificial neural networks)在降雨量的短期预测中的应用研究;5.关于遗传算法(genetica lgorithm)在城市森林中黑框蟾蜍(Bufo melanostictus)生长率研究中的应用。 展开更多
关键词 蚁群算法 资源管理 应用 自然 人工神经网络 栖息地选择 粒子群算法 小型水电站
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