Modeling Aggregation Processes DOI

Lawrence E. Hazelrigg

Published: Jan. 1, 2025

Language: Английский

Multi-year analysis of physical interactions between solar PV arrays and underlying soil-plant complex in vegetated utility-scale systems DOI
Chong Seok Choi, Jordan Macknick, James McCall

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 365, P. 123227 - 123227

Published: April 25, 2024

Language: Английский

Citations

6

From Kyoto to Paris and Beyond: A Deep Dive into the Green Shift DOI
Vu Nguyen Doan,

Huong Thi Thanh Doan,

Canh Phuc Nguyen

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 228, P. 120675 - 120675

Published: May 17, 2024

Language: Английский

Citations

6

Machine learning–based extreme event attribution DOI Creative Commons
Jared T. Trok, Elizabeth A. Barnes, Frances V. Davenport

et al.

Science Advances, Journal Year: 2024, Volume and Issue: 10(34)

Published: Aug. 21, 2024

The observed increase in extreme weather has prompted recent methodological advances event attribution. We propose a machine learning–based approach that uses convolutional neural networks to create dynamically consistent counterfactual versions of historical events under different levels global mean temperature (GMT). apply this technique one heat (southcentral North America 2023) and several have been previously analyzed using established attribution methods. estimate temperatures during the southcentral were 1.18° 1.42°C warmer because warming similar will occur 0.14 0.60 times per year at 2.0°C above preindustrial GMT. Additionally, we find learned relationships between daily GMT are influenced by seasonality forced response meteorological conditions. Our results broadly agree with other techniques, suggesting learning can be used perform rapid, low-cost events.

Language: Английский

Citations

6

Quantifying Global Greenhouse Gas Emissions in Human Deaths to Guide Energy Policy DOI Creative Commons
Joshua M. Pearce, Richard Parncutt

Energies, Journal Year: 2023, Volume and Issue: 16(16), P. 6074 - 6074

Published: Aug. 19, 2023

When attempting to quantify future harms caused by carbon emissions and set appropriate energy policies, it has been argued that the most important metric is number of human deaths climate change. Several studies have attempted overcome uncertainties associated with such forecasting. In this article, approaches estimating death tolls from change relevant at any scale or location are compared synthesized, implications for policy considered. consistent “1000-ton rule,” according which a person killed every time 1000 tons fossil burned (order-of-magnitude estimate). If warming reaches exceeds 2 °C century, mainly richer humans will be responsible killing roughly 1 billion poorer through anthropogenic global warming, comparable involuntary negligent manslaughter. On basis, relatively aggressive policies summarized would enable immediate substantive decreases in emissions. The limitations calculations outlined work recommended accelerate decarbonization economy while minimizing sacrificed lives.

Language: Английский

Citations

15

Cement and Alternatives in the Anthropocene DOI Open Access
Sabbie A. Miller, Maria C. G. Juenger, Kimberly E. Kurtis

et al.

Annual Review of Environment and Resources, Journal Year: 2024, Volume and Issue: 49(1), P. 309 - 335

Published: Aug. 7, 2024

Globally, the production of concrete is responsible for 5% to 8% anthropogenic CO2 emissions. Cement, a primary ingredient in concrete, forms glue that holds together when combined with water. Cement embodies approximately 90% greenhouse gas emissions associated production, and decarbonization methods focus primarily on cement production. But mitigation strategies can accrue throughout life cycle. Decarbonization manufacture, use, disposal be rapidly implemented address global challenge equitably meeting societal needs climate goals. This review describes (a) development our reliance consequent environmental impacts, (b) pathways value chain, (c) alternative resources leveraged further reduce while demands. We close by highlighting research agenda mitigate damages from continued dependence cement.

Language: Английский

Citations

5

Modeling the Impacts of Climate Change on Potential Distribution of Betula luminifera H. Winkler in China Using MaxEnt DOI Open Access

Qiong Yang,

Yangzhou Xiang,

Suhang Li

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(9), P. 1624 - 1624

Published: Sept. 14, 2024

Betula luminifera H. Winkler, a fast-growing broad-leaved tree species native to China’s subtropical regions, possesses significant ecological and economic value. The species’ adaptability ornamental characteristics make it crucial component of forest ecosystems. However, the impacts global climate change on its geographical distribution are not well understood, necessitating research predict potential shifts under future scenarios. Our aims were forecast impact suitable B. across China using MaxEnt model, which is recognized for high predictive accuracy low sample data requirement. Geographical coordinate points collected from various databases verified redundancy. Nineteen bioclimatic variables selected screened correlation avoid overfitting in model. model was optimized ENMeval package, evaluated Akaike Information Criterion Correction (delta.AICc), Training Omission Rate (OR10), Area Under Curve (AUC). predicted current scenarios based Shared Socio-economic Pathways (SSPs). demonstrated with an AUC value 0.9. dominant environmental influencing annual precipitation, minimum temperature coldest month, standard deviation seasonality. habitat area location significantly different scenarios, complex dynamics expansion contraction. centroid also migrate, indicating response changing climatic conditions. findings underscore importance optimization enhancing provide valuable insights development conservation strategies management plans address challenges posed by change.

Language: Английский

Citations

5

Giga-ton and tera-watt scale challenges at the energy - climate crossroads: A global perspective DOI
Turgut M. Gür

Energy, Journal Year: 2023, Volume and Issue: 290, P. 129971 - 129971

Published: Dec. 20, 2023

Language: Английский

Citations

12

Toward a Learnable Climate Model in the Artificial Intelligence Era DOI
Gang Huang, Ya Wang, Yoo‐Geun Ham

et al.

Advances in Atmospheric Sciences, Journal Year: 2024, Volume and Issue: 41(7), P. 1281 - 1288

Published: April 13, 2024

Language: Английский

Citations

4

Staying terminologically rigid, conceptually open and socially cohesive DOI
Laura A. Michaelis

Constructions and Frames, Journal Year: 2024, Volume and Issue: 16(2), P. 278 - 310

Published: Aug. 26, 2024

Abstract When he introduced the framework now known as Construction Grammar, Charles Fillmore said: “Grammatical Theory differs from […] other frameworks in its insistence that syntactic patterns are often tightly associated with interpretation instructions” ( 1989 : 17). Grammarians view patterns, associations and interpretive instructionsas a matter of linguistic convention-a fact not generally appreciated within wider cognitive-functional community embraces In CxG, we do use general principles to explain existence form-function pairs encounter language, but rather treat those product lexical constructional licensing Zwicky 1994 ). But emergentists stipulators share one core belief: grammatical structure is inherently symbolic. Sign-Based Grammar (SBCG) makes this insight formally explicit by treating constructions licensors signs-signs phrases, lexemes or words-and allowing for semantic usage constraints be directly constructions. practitioners might reasonably reject SBCG formalism incompatible major foundations thinking: top-down nature meaning, idiomaticity continuum narrow scope generalizations. My task article address concern, illustrating variety applications.

Language: Английский

Citations

4

Ecosystem damage by increasing tropical cyclones DOI Creative Commons
Colette J. Feehan, Karen Filbee‐Dexter, Mads S. Thomsen

et al.

Communications Earth & Environment, Journal Year: 2024, Volume and Issue: 5(1)

Published: Nov. 8, 2024

Climate change is driving an ongoing increase in tropical cyclone (TC) activity. While global economic losses are projected to double by 2100, there no comparable predictions for TC impacts coastal ecosystems that protect and sustain human lives livelihoods. Here, rising North Atlantic (NATC) activity from 1970 2019, influenced anthropogenic natural climate forcing, used study the ecosystem of intensifying TCs, potentially indicative broader future scenarios. Analysis 97 NATC landfalls revealed 891 immediate post-storm on ecosystems, with particularly detrimental effects mangrove forests. Specifically, NATCs reduced performance individual species. Additionally, they altered community structure processes through foundation species their associated organisms. The severity was directly correlated landfall intensity (wind speed) mangroves, whereas changes waves, surge, sediments, salinity caused most coral reefs, salt marshes, seagrass meadows, oyster reefs (respectively), indicating complex intensity-damage interactions many ecosystems. analyses also a positive correlation between very intense damages. research highlights concerning trend escalating under storm intensities, potential challenge resilience. Damage as well result cyclones show increasing according analysis post-landfall impacts.

Language: Английский

Citations

4