Results 231 to 240 of about 7,510 (272)

Driving force analysis and prediction of ecological footprint in urban agglomeration based on extended STIRPAT model and shared socioeconomic pathways (SSPs)

Journal of Cleaner Production, 2022
Ziheng Li, Muntasir Murshed, Pengdong Yan   +2 more
semanticscholar   +1 more source

Global terrestrial moisture recycling in Shared Socioeconomic Pathways

Earth System Dynamics
. Many areas across the globe rely for their precipitation supply on terrestrial precipitation recycling, which is the amount of precipitation that has evaporated from upwind land areas.
A. Staal, P.Th. Meijer, Maganizo Kruger Nyasulu, O. Tuinenburg, S. Dekker   +4 more
semanticscholar   +1 more source

Climate Futures are Political Futures: Integrating Political Development Into the Shared Socioeconomic Pathways (SSPs)

Abstract The Shared Socioeconomic Pathways (SSPs) are the key scenarios used by the climate change research community for evaluating mitigation pathways and the costs and challenges of meeting the Paris goals as well as climate risks along these different pathways. Despite ample evidence that political factors – such as institutional strength, rule of
Leininger, Julia, Buhaug, Halvard, Gilmore, Elisabeth, Lindberg, Staffan I., Andrijevic, Marina, Bauer, Nico, Jewell, Jessica, Moyer, Jonathan, Soergel, Bjoern, Tosun, Jale, Vesco, Paola, Wingens, Christopher, Hegre, Håvard, Vestby, Jonas, Kriegler, Elmar, van Vuuren, Detlef, Karlsson-Vinkhuyzen, Sylvia I, Brutschin, Elina, Nord, Marina, Roelfsema, Mark, Ruhe, Constantin, van Ruijven, Bas   +21 more
openaire   +1 more source

Machine learning for subnational residential electricity demand forecasting to 2050 under shared socioeconomic pathways: Comparing tree-based, neural and kernel methods

Energy
A scenario-based machine learning framework is presented for long-term, subnational electricity demand forecasting, integrating Shared Socioeconomic Pathways (SSPs) with spatially downscaled demographic, economic, and climatic variables.
Oguzhan Gulaydin, M. Mourshed
semanticscholar   +1 more source

Projecting global fertilizer consumption under shared socioeconomic pathway (SSP) scenarios using an approach of ensemble machine learning

Science of The Total Environment
Comprehensively projecting global fertilizer consumption is essential for providing critical datasets in related fields such as earth system simulation, the fertilizer industry, and agricultural sciences. However, since previous studies have not fully considered the socioeconomic factors affecting fertilizer consumption, huge uncertainties may remain ...
Yulian Gao, Kecui Dong, Yaojie Yue
openaire   +2 more sources

Land Use Transition and Regional Development Patterns Under Shared Socioeconomic Pathways: Evidence from Prefecture-Level Cities in China

Land
This study evaluates the spatial–temporal evolution of land use intensity and regional development under five shared socioeconomic pathways (SSPs) through prefecture-level projections in China (2020–2050). This study integrates the population–development–
Xiaodong Zhang, Mingjie Yang, Rui Guo, Yaolong Li, Fanglei Zhong   +4 more
semanticscholar   +1 more source

Responses of fine particulate matter (PM2.5) air quality to future climate, land use, and emission changes: Insights from modeling across shared socioeconomic pathways.

Science of the Total Environment
Air pollution induced by fine particulate matter with diameter ≤ 2.5 μm (PM2.5) poses a significant challenge for global air quality management. Understanding how factors such as climate change, land use and land cover change (LULCC), and changing ...
Hemraj Bhattarai, A. Tai, Maria Val Martin, David H. Y. Yung   +3 more
semanticscholar   +1 more source

Forest Fire Risk Prediction Based on Machine Learning with Shared Socioeconomic Pathways (SSP) Scenarios

Forest fires are one of the major forest disasters that pose various threats to both natural ecosystems and human societies, including biodiversity loss, large-scale destruction of forest resources, greenhouse gas and pollutant emissions, reduced tourism, and weakened ecosystem services.
Sunwoo Kim, Minwoo Roh, Woo-Kyun Lee
openaire   +1 more source

Divergent trajectories of future global gross primary productivity and evapotranspiration of terrestrial vegetation in Shared Socioeconomic Pathways.

Science of the Total Environment
Understanding the future trends of carbon and water fluxes between terrestrial ecosystems and the atmosphere is crucial for predicting Earth's climate dynamics.
Xuewen Zhou, Hanliang Gui, Qinchuan Xin, Yongjiu Dai   +3 more
semanticscholar   +1 more source

Analysis of Rainfall Quantile Based on Shared Socioeconomic Pathways (SSPs) Scenarios in South Korea

Proceedings of the 39th IAHR World Congress, 2022
Sunghun Kim, Sung-hack Lee, Taewon Lee, Jun-Haeng Heo   +3 more
openaire   +1 more source