SPI-gamma random forest modelling for meteorological drought characterization and prediction in the Bengal Delta, Indo-Bangladesh region DOI
Biplab Sarkar, Sk Mohinuddin, Aznarul Islam

и другие.

Theoretical and Applied Climatology, Год журнала: 2024, Номер 156(1)

Опубликована: Дек. 26, 2024

Язык: Английский

Prediction of surface urban heat island based on predicted consequences of urban sprawl using deep learning: A way forward for a sustainable environment DOI Creative Commons

Shun Fu,

L Wang,

Umer Khalil

и другие.

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер 135, С. 103682 - 103682

Опубликована: Июль 23, 2024

Язык: Английский

Процитировано

17

Identification and mapping of groundwater recharge zones using multi influencing factor and analytical hierarchy process DOI Creative Commons

Fanxiao Meng,

Muhammad Ismail Khan, Syed Ali Asad Naqvi

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 20, 2024

The management of groundwater systems is essential for nations that rely on as the principal source communal water supply (e.g., Mohmand District Pakistan). work employed Remote Sensing and GIS datasets to ascertain recharge zones (GWRZ) in Pakistan. Subsequently, a sensitivity analysis was conducted examine impact geology hydrologic factors variability GWRZ. GWRZ determined by employing weighted overlay thematic maps derived from about drainage density, slope, geology, rainfall, lineament land use/land cover, soil types. use multi-criteria decision (MCDA) involves utilization multi-influencing factor (MIF) analytical hierarchy procedure (AHP) allocate weights selected influencing factors. MIF data found very high spanned 1.20%, covered 40.44%, moderate 50.81%, low 7.54%. In comparison, AHP technique results suggest 1.81% whole area high, 33.26 55.01% moderate, 9.92% has potential. geospatial-assisted approach helps increase conceptual knowledge resources evaluate possible zones.

Язык: Английский

Процитировано

11

Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in high mountainous regions DOI

Hajra Mustafa,

Aqil Tariq, Hong Shu

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122490 - 122490

Опубликована: Сен. 24, 2024

Язык: Английский

Процитировано

11

Monitoring and prediction of the LULC change dynamics using time series remote sensing data with Google Earth Engine DOI
Muhammad Farhan, Taixia Wu, Muhammad Amin

и другие.

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2024, Номер 136, С. 103689 - 103689

Опубликована: Авг. 9, 2024

Язык: Английский

Процитировано

8

Spatio-Temporal Analysis of Hydrometeorological Variables for Terrestrial and Groundwater Storage Assessment DOI
Muhammad Shareef Shazil, Sheharyar Ahmad, Syed Amer Mahmood

и другие.

Groundwater for Sustainable Development, Год журнала: 2024, Номер 27, С. 101333 - 101333

Опубликована: Сен. 4, 2024

Язык: Английский

Процитировано

8

Analyzing Urban Expansion and Land Use Dynamics in Bagua Grande and Chachapoyas Using Cloud Computing and Predictive Modeling DOI
Elgar Barboza, Efraín Y. Turpo Cayo, Rolando Salas López

и другие.

Earth Systems and Environment, Год журнала: 2024, Номер unknown

Опубликована: Сен. 26, 2024

Язык: Английский

Процитировано

8

Integrating Geo-AI with RS & GIS for comprehensive assessments of urban land cover transformations and integrated responses DOI

Sajid Mahmood Farooqi Sajid Mahmood Farooqi,

Ambrina Kanwal,

Muhammad Zaman-ul-Haq

и другие.

Environmental Earth Sciences, Год журнала: 2024, Номер 84(1)

Опубликована: Дек. 9, 2024

Язык: Английский

Процитировано

7

Drought Dynamics and Vulnerability—Preface DOI Open Access
Michael Nones, Martijn J. Booij, Emilia Karamuz

и другие.

Hydrological Processes, Год журнала: 2025, Номер 39(2)

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Water distribution within soil-plant-atmosphere system enhances water use efficiency at various nitrogen levels in Chinese paddy fields DOI
Zongkui Chen,

Tao Liu,

Jiayue Wang

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 968, С. 178910 - 178910

Опубликована: Фев. 21, 2025

Язык: Английский

Процитировано

0

Comparative Analysis of Machine Learning Models for Predicting PM2.5 Concentrations Using Meteorological and Chemical Indicators DOI
Muhammad Haseeb, Zainab Tahir, Syed Amer Mahmood

и другие.

Journal of Atmospheric and Solar-Terrestrial Physics, Год журнала: 2024, Номер 263, С. 106338 - 106338

Опубликована: Авг. 27, 2024

Язык: Английский

Процитировано

3