Prediction of land surface temperature using spectral indices, air pollutants, and urbanization parameters for Hyderabad city of India using six machine learning approaches

Remote Sensing Applications Society and Environment, Год журнала: 2024, Номер 35, С. 101265 - 101265

Опубликована: Июнь 2, 2024

Язык: Английский

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Machine Learning Approach for Predicting Perfluorooctanesulfonate Rejection in Efficient Nanofiltration Treatment and Removal

ACS ES&T Water, Год журнала: 2025, Номер unknown

Опубликована: Янв. 28, 2025

Язык: Английский

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Understanding the multifaceted influence of urbanization, spectral indices, and air pollutants on land surface temperature variability in Hyderabad, India

Journal of Cleaner Production, Год журнала: 2024, Номер 470, С. 143284 - 143284

Опубликована: Авг. 1, 2024

Язык: Английский

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Application of machine learning models for PM2.5 prediction in bengaluru using precursor air pollutants and meteorological data

Theoretical and Applied Climatology, Год журнала: 2025, Номер 156(3)

Опубликована: Март 1, 2025

Язык: Английский

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The infiltration, morphology and sources of indoor and outdoor fine particulate matter and metals at the urban residences of Agra, India

Indoor and Built Environment, Год журнала: 2025, Номер unknown

Опубликована: Апрель 16, 2025

The United Nations proposed Sustainable Development Goals to promote healthy, safe and resilient lives. In recent years, indoor air pollution has been attracting increasing consideration listed as one of the prime environmental hazards. Thus, it is vital investigate influence outdoor on quality. To fill this lacuna, study conducted simultaneous indoor–outdoor measurements particulate matter with a diameter ≤2.5 μm (PM 2.5 ) their metallic composition (Zn, Na, Cr, Cu, Ba, Ni, Ca, Al, Mg, Fe, K Pb) in urban residential buildings Agra. Results showed higher PM concentrations indoors (83.2±15.8 μg/m 3 compared outdoors (73.5±12.2 an indoor/outdoor ratio 1.13, indicating dominance emission sources (cooking building materials). Infiltration analysis was applied transport particles. Zn, Ba Ni were high (I/O > 1) while Pb dominant < 1). This identified four potential source factors both outdoor. Field scanning electron microscope revealed difference morphologies (mostly spheroidal particles C, S, Cl indoors). These findings will help develop strategies control metals , reducing adverse health effects.

Язык: Английский

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Analyzing methane emissions in five Indian cities using TROPOMI data from sentinel-5 precursor satellite

Urban Climate, Год журнала: 2024, Номер 58, С. 102174 - 102174

Опубликована: Окт. 19, 2024

Язык: Английский

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A UAV-based method for efficiently measuring the spatial pattern of multiple air pollutants in street canyons

Building and Environment, Год журнала: 2024, Номер 266, С. 112068 - 112068

Опубликована: Сен. 8, 2024

Язык: Английский

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Synergistic effects of carbon and heat under disturbance of human activities: Evidence from a resource-based city of China

Environmental Pollution, Год журнала: 2024, Номер unknown, С. 125424 - 125424

Опубликована: Дек. 1, 2024

Язык: Английский

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Relationship of Rice Farming Income with Socio-Economic Characteristics of Farmers

Journal of Economics Finance and Management Studies, Год журнала: 2024, Номер 07(05)

Опубликована: Май 31, 2024

Characteristics are ways of thinking and behavior that characterize each individual to live work together in a family environment social community. The purpose the study was analyze relationship between rice farming income socio-economic characteristics farmers. research method used is survey method. Data this primary data sourced from respondents obtained through interviews using questionnaires, which consists on factors, namely; age farmers, farmers ' education, experience, number dependents, as well economic namely: land area capital. While secondary supporting Department Agriculture other stakeholders. Determination location purposive sampling for simple random many 30 analysis Pearson Correlation analysis. results showed that: has positive not significant with income, level Education experience dependents very capital farming.

Язык: Английский

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Impact of vegetation cover and land surface temperature on the seasonal tropospheric NO2 level variation from satellite observation

Advances in Space Research, Год журнала: 2024, Номер 74(10), С. 4760 - 4772

Опубликована: Июль 30, 2024

Язык: Английский

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