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Article ; Online: Selective Detection of Primary Aromatic Amines through Enhanced Luminescence of a 2D + 2D Inclined Polycatenated Microporous Nitro-Functionalized Metal-Organic Framework.

Dinda, Susanta / Mahato, Bidyadhar / Maiti, Anupam / Ghoshal, Debajyoti

2024 Volume 63, Issue 13, Page(s) 5996–6004

Abstract: Detection and sensing of amines through enhanced fluorescence emission are always challenging in aqueous solution. The range of different Lewis basicities, shapes, and sizes as well as the different structural arrangements of amines is responsible for ... ...

Abstract	Detection and sensing of amines through enhanced fluorescence emission are always challenging in aqueous solution. The range of different Lewis basicities, shapes, and sizes as well as the different structural arrangements of amines is responsible for their less specificity in aqueous solution. Here, we have designed a highly fluorescent emissive 2D + 2D → 3D inclined polycatenated NO
Language	English
Publishing date	2024-03-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	1484438-2
ISSN	1520-510X ; 0020-1669
ISSN (online)	1520-510X
ISSN	0020-1669
DOI	10.1021/acs.inorgchem.4c00278
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Revisiting air quality during lockdown persuaded by second surge of COVID-19 of megacity Delhi, India.

Mahato, Susanta / Pal, Swades

Urban climate

2022 Volume 41, Page(s) 101082

Abstract: Is the impact of city-scale lockdown in response to 2nd surge of COVID-19, behavioural changes in people owing to yearlong cohabitation with COVID-19, and partial vaccination on air quality different from the impact of nationwide lockdown during COVID-19' ...

Abstract	Is the impact of city-scale lockdown in response to 2nd surge of COVID-19, behavioural changes in people owing to yearlong cohabitation with COVID-19, and partial vaccination on air quality different from the impact of nationwide lockdown during COVID-19's 1st surge in March 2020? Targeting this objective, the present work has selected four phases pre-lockdown and lockdown of 1st and 2nd cycles of lockdown taking average air quality index (NAQI) from Central Pollution Control Board (CPCB). The results clearly show that both the nationwide lockdown and the city-scale restriction are responsible for improving air quality in India's megacity Delhi, but the rate of improvement was higher (39%) during the first cycle of lockdown (nationwide) than during the second cycle of lockdown (city-scale). During city-scale lockdown, the disparity in NAQI between the core and the periphery is obvious. Due to the effect of economic activities surrounding Delhi, around 10 km of the city's interior has experienced high NAQI. The reason for the lower NAQI improvement during the second lockdown cycle is likely due to relief from initial fear following a year of cohabitation with COVID-19, partial vaccination, and partial relaxation in industrial sectors to avoid the economic hardships experienced during the first lockdown cycle.
Language	English
Publishing date	2022-01-06
Publishing country	Netherlands
Document type	Journal Article
ISSN	2212-0955
ISSN (online)	2212-0955
DOI	10.1016/j.uclim.2021.101082
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Article: Land surface thermal alteration and pattern simulation based on influencing factors of rural landscape

Mahato, Susanta / Pal, Swades

Geocarto international. 2022 Sept. 17, v. 37, no. 18

2022

Abstract: Is it true that rural areas, like urban areas, experience temperature changes over time? The aim of this mission was to find the season-wise trend associated with land surface thermal alteration based on satellite imagery from the last 30 years using the ...

Abstract	Is it true that rural areas, like urban areas, experience temperature changes over time? The aim of this mission was to find the season-wise trend associated with land surface thermal alteration based on satellite imagery from the last 30 years using the least square regression method, as well as to determine the stimulus of LST for the years 2027 and 2037 using Artificial Neural Network and Support Vector Machine techniques. The average temperature in the winter, summer, and Monsoon months has risen by 0.11 °C/year, 0.19 °C/year, and 0.07 °C/year, respectively, according to the analysis. Additionally, the simulated models reveal which extreme finish temperature group (>37.13 °C) may include more areas than the current one. For example, in 2017, a total area of 28.95 km² was above the 37.13 °C temperature class, but this could increase to 37.91 km² in 2027 and 42.67 km² in 2037. Fragmentation analysis of the extreme temperature patches shows that the location of the high-temperature core steadily increases over time. The simulated water body, vegetation, built-up land, and bare land cover area show a decreasing trend in the first two parameters and an increasing trend in the last two, all of which influence temperature increase incident.
Keywords	land cover ; landscapes ; monsoon season ; neural networks ; regression analysis ; remote sensing ; summer ; support vector machines ; surface water ; temperature ; vegetation ; winter
Language	English
Dates of publication	2022-0917
Size	p. 5278-5306.
Publishing place	Taylor & Francis
Document type	Article
ISSN	1752-0762
DOI	10.1080/10106049.2021.1920634
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: A benzoxazole-triphenylamine conjugated fluorogenic probe for specific detection of sarin gas mimic diethylchlorophosphate.

Sultana, Tuhina / Mahato, Manas / Tohora, Najmin / Ahamed, Sabbir / Maiti, Arpita / Ghanta, Susanta / Das, Sudhir Kumar

Analytical methods : advancing methods and applications

2024 Volume 16, Issue 5, Page(s) 759–771

Abstract: In this study, an excellent chromo-fluorogenic PMPA probe, ( ...

Abstract	In this study, an excellent chromo-fluorogenic PMPA probe, (
Language	English
Publishing date	2024-02-01
Publishing country	England
Document type	Journal Article
ZDB-ID	2515210-5
ISSN	1759-9679 ; 1759-9660
ISSN (online)	1759-9679
ISSN	1759-9660
DOI	10.1039/d3ay01819a
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Article ; Online: Damming effects on hydrological abundance and eco-hydrological alteration in upstream wetlands of Eastern Himalaya

Mahato, Susanta / Pukhrambam, Geetanjali / Joshi, P.K.

Journal of Cleaner Production. 2023 Sept., v. 418 p.138089-

2023

Abstract: The effects of dams on hydrological conditions and ecological functioning of wetlands downstream are less well studied. Rivers and wetlands are vital environmental elements linked to natural and human ecosystems, so it is extremely important to study ... ...

Abstract	The effects of dams on hydrological conditions and ecological functioning of wetlands downstream are less well studied. Rivers and wetlands are vital environmental elements linked to natural and human ecosystems, so it is extremely important to study ecohydrological planning and human well-being. This study investigates the impact of the dam on the hydrological abundance and eco-hydrological alterations of Loktak Lake, which is located upstream of the Ithai barrage. For this purpose, the Indicator of Hydrological Alteration (IHA) was used to examine the ecohydrological threshold, failure rate, impact magnitude and ecohydrological deficit/surplus in a river section and the adjacent wetland in three temporal phases (I, 1996–2001; II, 2006–2011; and III, 2016–2021). The results show that the hydrological surplus has recently increased to 27.22% (phase III), while in phase I it was only 1.1%. Due to the decreasing failure rate of ecological optima, eco-hydrological surplus was recorded in both Loktak lakes, which is an obvious indication of a reduction in ecological distress that may lead to negative impacts on natural and human well-being. However, due to the constant high-water level in the lake, Phumdi is no longer able to reach the bottom of the lake during the dry season. Since it cannot absorb nutrients, the lake's vegetation declines and rotting sediments settle. Since the Ithai Dam closed the outlet that once connected the lake to the sea, fishermen can no longer dispose of the decomposing biomass. This study is important for dam management and planning to consider the impacts on wetlands downstream and to take measures to mitigate these impacts.
Keywords	biomass ; distress ; dry season ; humans ; hydrologic cycle ; lakes ; rivers ; social welfare ; vegetation ; wetlands ; Himalayan region ; Water level rise ; Wetland mapping ; Loktak lake ; Phumdis ; Indicator of hydrological alteration (IHA)
Language	English
Dates of publication	2023-09
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Pre-press version
ISSN	0959-6526
DOI	10.1016/j.jclepro.2023.138089
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Modeling flood susceptibility zones using hybrid machine learning models of an agricultural dominant landscape of India.

Saini, Satish Kumar / Mahato, Susanta / Pandey, Deep Narayan / Joshi, Pawan Kumar

Environmental science and pollution research international

2023 Volume 30, Issue 43, Page(s) 97463–97485

Abstract: 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-prone areas is a difficult task. Thus, creating ... ...

Abstract	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-prone areas is a difficult task. Thus, creating flood susceptibility maps at local level is though challenging but an inevitable task. In order to implement a flood management plan for the Balrampur district, an agricultural dominant landscape of India, and strengthen its resilience, flood susceptibility modeling and mapping are carried out. In the present study, three hybrid machine learning (ML) models, namely, fuzzy-ANN (artificial neural network), fuzzy-RBF (radial basis function), and fuzzy-SVM (support vector machine) with 12 topographic, hydrological, and other flood influencing factors were used to determine flood-susceptible zones. To ascertain the relationship between the occurrences and flood influencing factors, correlation attribute evaluation (CAE) and multicollinearity diagnostic tests were used. The predictive power of these models was validated and compared using a variety of statistical techniques, including Wilcoxon signed-rank, t-paired tests and receiver operating characteristic (ROC) curves. Results show that fuzzy-RBF model outperformed other hybrid ML models for modeling flood susceptibility, followed by fuzzy-ANN and fuzzy-SVM. Overall, these models have shown promise in identifying flood-prone areas in the basin and other basins around the world. The outcomes of the work would benefit policymakers and government bodies to capture the flood-affected areas for necessary planning, action, and implementation.
MeSH term(s)	Floods ; India ; Asia ; Agriculture ; Machine Learning
Language	English
Publishing date	2023-08-18
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-023-29049-9
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Article ; Online: Short-term exposure to ambient air quality of the most polluted Indian cities due to lockdown amid SARS-CoV-2.

Mahato, Susanta / Ghosh, Krishna Gopal

Environmental research

2020 Volume 188, Page(s) 109835

Abstract: Air pollution has happened to be one of the mounting alarms to be concerned with in many Indian cities. COVID-19 epidemic endow with a unique opportunity to report the degree of air quality improvement due to the nationwide lockdown in 10 most polluted ... ...

Abstract	Air pollution has happened to be one of the mounting alarms to be concerned with in many Indian cities. COVID-19 epidemic endow with a unique opportunity to report the degree of air quality improvement due to the nationwide lockdown in 10 most polluted cities across the country. National Air Quality Index (NAQI) based on continuous monitoring records of seven criteria pollutants (i.e. common air pollutants with known health impacts e.g. PM
MeSH term(s)	Air Pollution ; Betacoronavirus ; COVID-19 ; Cities ; Coronavirus Infections ; Environmental Monitoring ; Humans ; India ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2
Keywords	covid19
Language	English
Publishing date	2020-07-02
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2020.109835
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Article ; Online: Forest Fire Susceptibility Zonation in Eastern India Using Statistical and Weighted Modelling Approaches

Jayshree Das / Susanta Mahato / Pawan Kumar Joshi / Yuei-An Liou

Remote Sensing, Vol 15, Iss 1340, p

2023 Volume 1340

Abstract: Recurring forest fires disturb ecological balance, impact socio-economic harmony, and raise global concern. This study implements multiple statistical and weighted modelling approaches to identify forest fire susceptibility zones in Eastern India. Six ... ...

Abstract	Recurring forest fires disturb ecological balance, impact socio-economic harmony, and raise global concern. This study implements multiple statistical and weighted modelling approaches to identify forest fire susceptibility zones in Eastern India. Six models, namely, Frequency Ratio (FR), Certainty Factor (CF), Natural Risk Factor (NRF), Bivariate statistical (Wi and Wf), Analytical Hierarchy Process (AHP), and Logistic Regression (LR) were used in the study. Forest fire inventory (2001 to 2018) mapping was done using forest fire points captured by the MODIS (Moderate Resolution Imaging Spectroradiometer) sensor. Fire responsible components, namely, topography (which has four variables), climate (5), biophysics (8) and disturbance (4) were used as inputs to the modelling approaches. Multicollinearity analysis was carried out to examine the association and remove the highly-correlated variables before performing the modeling. Validation of model prediction levels was done using Area Under the Receiver Operating Characteristic Curve (ROC curve-AUC) value. The results reveal that the areas with west and southwest orientations, and moderate slope demarcate higher susceptibility to forest fire. High precipitation areas with lower temperature but ample solar radiation increase their susceptibility to forest fire. Mixed deciduous forest type with ample solar radiation, higher NDVI, lower NDWI and lower TWI values exhibits higher susceptibility. Model validation shows that LR (with AUC = 0.809) outperforms other models used in the study. To minimize the risk of fire and frame with proper management plans for the study area, susceptibility mapping using satellite imageries, GIS technique, and modelling approaches is highly recommended.
Keywords	forest fire susceptibility ; spatial mapping ; statistical modelling ; prediction ; validation ; Science ; Q
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Highly selective and sensitive chromogenic recognition of sarin gas mimicking diethylchlorophosphate.

Mahato, Manas / Sultana, Tuhina / Maiti, Arpita / Ahamed, Sabbir / Tohora, Najmin / Ghanta, Susanta / Das, Sudhir Kumar

Analytical methods : advancing methods and applications

2024 Volume 16, Issue 9, Page(s) 1371–1382

Abstract: The high-level toxic effects of organophosphate (OP) nerve agents severely threaten national security and public health. Generating trustworthy, accurate methods for quickly identifying these poisonous chemicals is urgently necessary. In this study, we ... ...

Abstract	The high-level toxic effects of organophosphate (OP) nerve agents severely threaten national security and public health. Generating trustworthy, accurate methods for quickly identifying these poisonous chemicals is urgently necessary. In this study, we have presented an azine-based colorimetric sensor (HBD) for the highly sensitive and selective identification of poisonous sarin gas surrogate diethylchlorophosphate (DCP). Our introduced sensor shows a purple color in contact with DCP, which is fully reversible upon the addition of triethylamine (TEA). The detection limit of our sensor for the toxic nerve agent mimic DCP is in the μM range. We have fabricated a test kit to verify the capability of HBD for on-the-spot identification of DCP to execute its practical use. To prove that HBD is an effective chemosensor, dip-stick investigation was conducted to detect DCP in the vaporous stage in the presence of different OPs, inorganic phosphates (IPs), and many other deadly analytes. A cellphone-based display method was also undertaken for on-the-spot recognition and measurement of DCP in isolated regions.
MeSH term(s)	Sarin ; Fluorescent Dyes ; Organophosphorus Compounds ; Nerve Agents
Chemical Substances	diethylchlorophosphate ; Sarin (B4XG72QGFM) ; Fluorescent Dyes ; Organophosphorus Compounds ; Nerve Agents
Language	English
Publishing date	2024-02-29
Publishing country	England
Document type	Journal Article
ZDB-ID	2515210-5
ISSN	1759-9679 ; 1759-9660
ISSN (online)	1759-9679
ISSN	1759-9660
DOI	10.1039/d3ay02306k
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Article ; Online: Integration of satellite image-derived temperature and water depth for assessing fish habitability in dam controlled flood plain wetland.

Kundu, Sonali / Pal, Swades / Talukdar, Swapan / Mahato, Susanta / Singha, Pankaj

Environmental science and pollution research international

2022 Volume 29, Issue 19, Page(s) 28083–28097

Abstract: 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 image-driven temperature and depth data ... ...

Abstract	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 image-driven temperature and depth data calibrated with field data were used to analyse fish habitability and the presence of thermally optimum habitable zones in some fishes, such as labeo rohita, cirrhinus mrigala, tilapia fish, small shrimp, and catfish. The study was conducted both at the water's surface and at the optimum depth of survival. It is very obvious from the analysis that a larger part of the wetland has become an area that destroyed aquatic habitat during the post-dam period, and existing wetlands have suffered significant shallowing of water depth. This has resulted in a shrinking of the thermally optimum area of fish survival in relation to surface water temperature (from 100.09 to 74.24 km
MeSH term(s)	Animals ; Cyprinidae ; Ecosystem ; Fishes ; Rivers ; Temperature ; Water ; Wetlands
Chemical Substances	Water (059QF0KO0R)
Language	English
Publishing date	2022-01-05
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-021-17869-6
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