Marine fishery carbon emission reduction and changing factors behind marine fishery eco-efficiency growth in China

Ecological Informatics, Journal Year: 2024, Volume and Issue: 80, P. 102478 - 102478

Published: Jan. 14, 2024

The accurate assessment of marine fisheries' carbon emissions (MFCE) and the identification spatial temporal variation in fisheries eco-efficiency (MFEE) its drivers under emission reduction constraint can facilitate high-quality development achievement 'carbon neutrality' goal. Current assessments MFEE exclude focus on single-factor methodologies, which limit their utility guiding strategies. In this study, using provincial data from 2008 to 2021, we constructed a model undesired output efficiency through directional distance function determine potential each province. global Malmquist–Luenberger (GML) was also used explore trends MFCE China influencing growth. Different mechanisms underlying growth three major economic zones were investigated. results show that (1) is declining, with sources showing decline sinks rapid year 2015 an important turning point for fisheries. (2) level differed among Chinese coastal provinces cities during study period, circles belonged different types potential. Under constraint, values showed fluctuating upward trend significant differences rates power sources, while pure technical drove optimal eco-efficiency. (3) economy, resource use, industrial structure, environmental regulation, science technology improve MFEE, whereas degree openness outside world negatively impacts MFEE; positive.

Language: Английский

---

XGBoost-Based Analysis of the Relationship Between Urban 2-D/3-D Morphology and Seasonal Gradient Land Surface Temperature

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 4109 - 4124

Published: Jan. 1, 2024

The escalation of greenhouse gas emissions has led to a continuous rise in land surface temperature (LST). Studies have highlighted the substantial influence urban morphology on LST; however, impact different dimensional indicators and their gradient effects remain unexplored. Selecting area Shenyang as case, we chose various representing dimensions. By employing XGBoost for regression analysis, aimed explore 2D 3D seasonal LST its effect. following results were obtained: (1) spatial pattern spring winter was higher suburbs than center. (2) correlation patterns similar, except proportion woodland grass (PWG), digital elevation model (DEM), sky view factor (SVF), which exhibited opposing trends summer autumn. (3) Vegetation construction had highest index, followed by building forms natural landscapes morphology. (4) each indicator varied significantly across gradients. Among all indicators, landscape social development, forms, skyscape impacts areas. built-up areas greater suburban findings this study can assist adjusting provide valuable recommendations targeted improvements thermal environments, thereby contributing sustainable development.

Language: Английский

---

Investigating the attribution of urban thermal environment changes under background climate and anthropogenic exploitation scenarios

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 107, P. 105466 - 105466

Published: April 22, 2024

Language: Английский

---

Attribution analysis of urban social resilience differences under rainstorm disaster impact: Insights from interpretable spatial machine learning framework

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106029 - 106029

Published: Dec. 1, 2024

Language: Английский

---

Decoupling state of urban development and carbon emissions and its driving factors and predictions: A case study of Chengdu metropolitan area

Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102692 - 102692

Published: June 20, 2024

Prioritizing the reduction of carbon emissions in key developing urban centers is a significant step toward achieving China's peaking and neutrality goals. We examined Chengdu metropolitan area as case study. proposed coupled method for inversely estimating nighttime light from energy consumption, enhancing accuracy fitting at county scale addressing issue missing consumption data. integrated Tapio decoupling model Logarithmic Mean Divisia Index (LMDI) comprehensive analysis, mitigating limitations arising use singular model. Furthermore, we employed multi-scenario analysis with an extended STIRPAT to forecast emission trajectory agglomeration elucidate potential pathways The findings indicated following: are predominantly concentrated regions characterized by high levels development. Forested land serves primary sink; however, its capacity fails offset consumption; factor decomposition revealed that economic development was principal driver emissions, leading increase 23.7964 million tons. Conversely, intensity emerged mitigation factor, reducing 11.0677 tons; projected reach peak 2030, multi-factor coordinated optimization (MFO) representing most favorable trajectory, approximately 15.6998 However, achieve 2060, there still surplus 10.4808

Language: Английский

---

Quantifying heterogeneous impacts of 2D/3D built environment on carbon emissions across urban functional zones: A case study in Beijing, China

Energy and Buildings, Journal Year: 2024, Volume and Issue: 319, P. 114513 - 114513

Published: July 6, 2024

Language: Английский

---

Spatial modelling of street-level carbon emissions with multi-source open data: A case study of Guangzhou

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 101974 - 101974

Published: May 1, 2024

Language: Английский

---

Spatial effect of urban morphology on land surface tempature from the perspective of local climate zone

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 36, P. 101324 - 101324

Published: Aug. 18, 2024

Language: Английский

---

Decoding urban emissions: the overlooked impact of commercial and public service zones across regions and seasons

GIScience & Remote Sensing, Journal Year: 2025, Volume and Issue: 62(1)

Published: April 18, 2025

Language: Английский

---

Carbon emission estimation at the urban functional zone scale: Integrating multi-source data and machine learning approach

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115832 - 115832

Published: May 1, 2025

Language: Английский

---