9 Result(s)
within
Susanta Mahato
Environment
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Article
Analyzing the long-term variability and trend of aridity in India using non-parametric approach
Aridity is a climatic phenomenon characterized by shortage of water availability in a given time and space resulting in low moisture and reduced carrying capacity of ecosystems. It is represented by a numerica...
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Article
Modeling flood susceptibility zones using hybrid machine learning models of an agricultural dominant landscape of India
Flooding events are determining a significant amount of damages, in terms of economic loss and also casualties in Asia and Pacific areas. Due to complexity and ferocity of severe flooding, predicting flood-pro...
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Chapter
Identifying the Flood Hazard Zones in Urban Area Using Flood Hazard Index (FHI)—A Case of Capital City of India
Floods are one of the most destructive natural catastrophes due to the extensive damage to property, infrastructure, and human lives. It is difficult to forecast which areas will be flooded due to the dynamic ...
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Chapter
Air Pollutants-Induced Environmental Critical Zones in Capital City of India
Changing land use/cover (LULC) is the most visible and immediate consequences of urbanization on the environment, leading to changes in temperature, microclimate, air quality, biodiversity loss, and, most cruc...
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Article
Integration of satellite image–derived temperature and water depth for assessing fish habitability in dam controlled flood plain wetland
The present study attempted to investigate the changes in temperature conducive to fish habitability during the summer months in a hydrologically modified wetland following damming over a river. Satellite imag...
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Article
Quantifying monthly water balance to estimate water deficit in Mayurakshi River basin of Eastern India
Recorded seasonal variation and uneven distribution of rainfall is one of the major issues to the agrarian society and the domestic water users today. For strategic planning of water use, scientific estimation...
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Article
Correction to: Machine learning algorithm-based risk assessment of riparian wetlands in Padma River basin of Northwest Bangladesh
A Correction to this paper has been published: https://doi.org/10.1007/s11356-021-13480-x
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Article
Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh
Wetland risk assessment is a global concern especially in develo** countries like Bangladesh. The present study explored the spatiotemporal dynamics of wetlands, prediction of wetland risk assessment. The we...
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Article
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
The flooding in Bangladesh during monsoon season is very common and frequently happens. Consequently, people have been experiencing tremendous damage to properties, infrastructures, and human casualties. Usual...
