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

Nivedita Kaul

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 470, P. 143284 - 143284

Published: Aug. 1, 2024

Language: Английский

Forecasting influent wastewater quality by chaos coupled machine learning optimized with Bayesian algorithm DOI

D. H. S. Ramkumar,

V. Jothiprakash

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 61, P. 105306 - 105306

Published: April 16, 2024

Language: Английский

Citations

6
Exploring the restoration stability of abandoned open-pit mines by vegetation resilience indicator based on the LandTrendr algorithm DOI Creative Commons

Jingyi Xie,

Yunxuan Liu,

Miaomiao Xie

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112392 - 112392

Published: July 23, 2024

Language: Английский

Citations

6
Spatial-temporal dynamics and influencing factors of city level carbon emission of mainland China DOI Creative Commons
Pengfei Xu, Guangyao Zhou,

Qiuhao Zhao

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112672 - 112672

Published: Oct. 1, 2024

Language: Английский

Citations

5
Case study on climate change effects and food security in Southeast Asia DOI Creative Commons
Daria Taniushkina, Aleksandr Lukashevich, V. Shevchenko

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 12, 2024

Abstract Agriculture, a cornerstone of human civilization, faces rising challenges from climate change, resource limitations, and stagnating yields. Precise crop production forecasts are crucial for shaping trade policies, development strategies, humanitarian initiatives. This study introduces comprehensive machine learning framework designed to predict production. We leverage CMIP5 projections under moderate carbon emission scenario evaluate the future suitability agricultural lands incorporate climatic data, historical trends, fertilizer usage project yield changes. Our integrated approach significant regional variations in across Southeast Asia by 2028, identifying potential cropland utilization. Specifically, area Indonesia, Malaysia, Philippines, Viet Nam is projected decline more than 10% if no action taken, there mitigate that loss. Moreover, rice 19% 7% Thailand, while Philippines may see 5% increase compared 2021 levels. findings underscore critical impacts change activities on productivity, offering essential insights policy-making fostering international cooperation.

Language: Английский

Citations

4
Understanding the multifaceted influence of urbanization, spectral indices, and air pollutants on land surface temperature variability in Hyderabad, India DOI
Gourav Suthar, Saurabh Singh,

Nivedita Kaul

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 470, P. 143284 - 143284

Published: Aug. 1, 2024

Language: Английский

Citations

4