中国大慶市における都市炭素源・吸収源の時空間変化
SPATIAL AND TEMPORAL CHANGES IN URBAN CARBON SOURCES AND SINKS IN DAQING, CHINA (原題)
Ke-Xin Ma, X. Wo, Sui-Hua Guo, Rui-Xiang Zhang, J.-Y. Liu, Z.-Z. Liu, H. Zhu, Wang-Wang Jiang, L. Han, Mei-Yun Geng
🤖 gxceed AI 要約
日本語
改良CASAモデルと夜間光データを用い、中国大慶市の2000〜2022年の炭素源・吸収源を推定した研究。NPPは変動しながら増加傾向にある一方、炭素排出は2010〜2015年に急増後に安定化し、市は一貫して炭素赤字状態にある。炭素収支は自然要因と正、人口・都市化・GDP・産業構造などの社会経済要因と負の相関を示す。クリーンエネルギー導入とエネルギー効率改善、産業構造のグリーン化を提言している。
English
Using an improved CASA model plus nighttime light data, this study estimates carbon sources and sinks in Daqing, China (2000–2022). NPP rose with fluctuation while emissions grew then stabilized, leaving the city in persistent carbon deficit. Carbon gain/loss correlated positively with natural factors and negatively with socioeconomic drivers (population, urbanization, GDP, industrial structure), prompting recommendations on cleaner energy, efficiency, and industrial greening.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
中国地方都市の炭素収支を夜間光データで空間推定する手法は、自治体レベルのScope 1推計や地域脱炭素計画の基礎データ整備を考える日本自治体・企業にとって参考になる。ただしSSBJ・有報開示への直接の接続は弱い。
In the global GX context
Adds a city-scale, spatially explicit carbon accounting case using nighttime-light proxies for energy emissions — relevant to the broader push for subnational GHG inventories that underpin corporate Scope 1/2 boundaries and regional transition planning, though it does not engage TCFD/ISSB frameworks directly.
👥 読者別の含意
🔬研究者:夜間光データとCASAモデルを組み合わせた都市スケール炭素収支推計の実例として手法面で参考になる。
🏢実務担当者:地域拠点の炭素収支を空間的に把握する際の推計アプローチの参考になる。
🏛政策担当者:地方自治体の脱炭素計画策定において、エネルギー効率と産業構造転換を優先すべき根拠を提供する。
📄 Abstract（原文）
This study employed an improved Carnegie Ames Stan ford Approach model (CASA) to estimate carbon sources and sinks in Daqing City, China (2000–2022) and integrated nighttime light data to quantify energy-related carbon emissions, exploring spatiotemporal distribution patterns of carbon fluxes, carbon gain and loss dynamics, and their influencing factors. The results indicate that: 1) Since 2000, the annual mean Net Primary Productivity (NPP) in Daqing City has exhibited a fluctuating upward trend, with the maximum value recorded in 2022 (265.01 gC·m⁻²·a⁻¹) and the minimum value in 2010 (199.96 gC·m⁻²·a⁻¹); 2) Carbon emissions demonstrated an initially increasing and then stabilizing trajectory during 2000–2022, characterized by accelerated growth between 2010 and 2015; 3) During 2000–2022, Daqing City maintained a persistent carbon deficit state, with net ecosystem productivity (NEP) exhibiting a fluctuating downward trend—reaching its highest value in 2000 (-187.87 gC·m⁻²·a⁻¹) and lowest in 2005 (-272.84 gC·m⁻²·a⁻¹); 4) Carbon gain and loss demonstrated a significant positive correlation with natural factors but negative correlations with socioeconomic drivers , such as population size, urbanization level, gross domestic product (GDP), and industrial structure; 5) Daqing should accelerate energy structure transformation through cleaner energy development and enhanced energy efficiency to reduce carbon emission intensity. Concurrently, industrial structure greening and technological innovation must be strengthened to foster low-carbon economic development, thereby improving carbon gain/loss outcomes.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.15666/aeer/2404_79537968first seen 2026-10-28 05:48:53 · last seen 2026-11-06 05:51:53
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