Urban Climate最新文献_第9页

Evaluating the natural cooling potential of waterbodies in dense urban landscape: A case study of Bengaluru, India 评估密集城市景观中水体的自然冷却潜力：印度班加罗尔案例研究

IF 6 2区工程技术

Urban Climate Pub Date : 2024-11-01 DOI: 10.1016/j.uclim.2024.102200

Arpit Verma, Sonam Agrawal

{"title":"Evaluating the natural cooling potential of waterbodies in dense urban landscape: A case study of Bengaluru, India","authors":"Arpit Verma, Sonam Agrawal","doi":"10.1016/j.uclim.2024.102200","DOIUrl":"10.1016/j.uclim.2024.102200","url":null,"abstract":"<div><div>This study examines the water-induced cooling capability of 12 waterbodies in Bengaluru City, India, using Landsat 8 OLI/TIRS data. The study categorized and investigated the cooling impact of urban landscapes using Local Climatic Zone (LCZ) classification. The results indicate that dense urban built-up areas and impervious surfaces lead to higher Land Surface Temperature (LST). Large-sized waterbodies surrounded by a higher fraction of built-up LCZs moderate the temperature, while small waterbodies are less capable of thermal cooling. The Water Cooling Range (WCR) during the summer season varies from 120 m to 330 m, with Water Cooling Intensity (WCI) ranging from 1.29 °C to 2.71 °C. However, WCI drastically reduces in the winter season, ranging from 0.63 °C to 1.8 °C. The maximum Water Cooling Gradient (WCG) was found to be 0.017 °C/m in the summer season. The study found that LCZ composition affects the cooling potential of waterbodies, reducing temperature by up to 2 °C. These findings indicate that water-induced cooling is a viable technique for heat mitigation, particularly in densely populated urban areas. The paper also examines the implications for urban planning and design, emphasizing the importance of incorporating water-based cooling methods into LCZ composition to improve urban resilience to heat stress.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102200"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of trees with varying size on street canyon flow under isothermal and non-isothermal conditions using water channel PIV measurements 利用水道 PIV 测量等温和非等温条件下不同大小树木对街道峡谷水流的影响

IF 6 2区工程技术

Urban Climate Pub Date : 2024-11-01 DOI: 10.1016/j.uclim.2024.102188

Giorgos Alexandrou , Petros Mouzourides , Haiwei Li , Yongling Zhao , Jan Carmeliet , Marina K.-A. Neophytou

{"title":"Impact of trees with varying size on street canyon flow under isothermal and non-isothermal conditions using water channel PIV measurements","authors":"Giorgos Alexandrou , Petros Mouzourides , Haiwei Li , Yongling Zhao , Jan Carmeliet , Marina K.-A. Neophytou","doi":"10.1016/j.uclim.2024.102188","DOIUrl":"10.1016/j.uclim.2024.102188","url":null,"abstract":"<div><div>This study examines the influence of trees on urban microclimate, specifically focusing on the breathability and turbulence within urban canyons. Utilizing a simplified two-dimensional street canyon model with tree-like elements, we investigate air flow interactions influenced by both buoyancy-driven and inertial forces, using Particle Image Velocimetry (PIV) measurements. The study considers trees of varying heights (<span><math><msub><mi>h</mi><mi>t</mi></msub></math></span>), relative to the urban street canyon height (<span><math><mi>H</mi></math></span>), revealing that smaller trees (<span><math><msub><mi>h</mi><mi>t</mi></msub><mo>/</mo><mi>H</mi><mo>=</mo><mn>1</mn><mo>/</mo><mn>4</mn></math></span>) allow the establishment of stronger vortices on top of the trees, while larger trees (<span><math><msub><mi>h</mi><mi>t</mi></msub><mo>/</mo><mi>H</mi><mo>=</mo><mn>1</mn></math></span>) disrupt vortex formation, leading to recirculation cells. The study also explores the impact of the heated wall surface position (i.e., leeward or windward), on vortex formation and breathability at the rooftop level. Additionally, the critical value of the buoyancy parameter <span><math><mfenced><mi>B</mi></mfenced></math></span>, defined as the ratio of buoyancy to inertial forces, determines whether the flow field is shear- or buoyancy-dominant. These findings highlight the importance of trees placement and heated surfaces positioning in urban canyon modeling to enhance urban microclimate and pollutant dispersion. The results provide essential data for developing simplified models of tree impacts in urban areas, crucial for integrating with larger-scale weather and climate models.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102188"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the supply-demand match and drivers of blue-green spaces cooling in Wuhan Metropolis 武汉市蓝绿空间降温供需匹配及驱动因素探究

IF 6 2区工程技术

Urban Climate Pub Date : 2024-11-01 DOI: 10.1016/j.uclim.2024.102194

Yunhao Fang , Liyuan Zhao

{"title":"Exploring the supply-demand match and drivers of blue-green spaces cooling in Wuhan Metropolis","authors":"Yunhao Fang , Liyuan Zhao","doi":"10.1016/j.uclim.2024.102194","DOIUrl":"10.1016/j.uclim.2024.102194","url":null,"abstract":"<div><div>This study explores the spatial evolution and driving factors of cooling supply and demand matching in blue-green spaces (BGSs) to alleviate urban heat island effects. Using Wuhan Metropolis as a case study, the cooling supply index (CSI) and cooling demand index (CDI) were utilized to assess the BGSs' cooling supply capacity and demand levels in 2014, 2018 and 2022. The relationship between them was then examined applying spatial gradient analysis and constraint effect analysis. Subsequently, the coupled coordination degree (CCD) of cooling supply-demand and its built environment-driven explanatory power was investigated. Ultimately, areas with supply-demand mismatches were identified, and tailored cooling strategies were devised to rectify these discrepancies. The results indicated that: (1) Wuhan Metropolis experienced a decline in BGSs' cooling supply capacity and an increase in cooling demand level between 2014 and 2022. (2) There is a significant correlation between the cooling supply capacity and demand level of BGSs in Wuhan Metropolis, with a spatial gradient effect and a constraint effect (CSI values = 0–0.2). (3) The CCD of cooling supply-demand in Wuhan Metropolis decreased from 2014 to 2022, with building density being the dominant built environment factors (q-value = 0.83–0.86). (4) The number of mismatched cooling supply-demand units significantly increased in Wuhan Metropolis from 2014 to 2022, indicating an imperative need to alleviate urban high temperatures. To address this issue, the study proposes a mismatch mechanism-based regulatory strategy aimed at mitigating the heat from residential, transportation, and industrial areas.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102194"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Insights into source-specific PM2.5 mass, light extinction, and health risks in heavily polluted urban and suburban areas, northwestern China 对中国西北部重度污染城市和郊区特定来源 PM2.5 质量、光消光和健康风险的见解

IF 6 2区工程技术

Urban Climate Pub Date : 2024-11-01 DOI: 10.1016/j.uclim.2024.102205

Julian Shi , Chongshu Zhu , Suixin Liu , Yao Qu , Wenting Dai , Nan Wang , Luyao Wang , Yue Zhou , Rui Li , Yingqiang Shi , Junji Cao

{"title":"Insights into source-specific PM2.5 mass, light extinction, and health risks in heavily polluted urban and suburban areas, northwestern China","authors":"Julian Shi , Chongshu Zhu , Suixin Liu , Yao Qu , Wenting Dai , Nan Wang , Luyao Wang , Yue Zhou , Rui Li , Yingqiang Shi , Junji Cao","doi":"10.1016/j.uclim.2024.102205","DOIUrl":"10.1016/j.uclim.2024.102205","url":null,"abstract":"<div><div>To investigate the source apportionments of PM<sub>2.5</sub> mass, light extinction, and health risk in a typical polluted Chinese city (Xianyang), urban and suburban PM<sub>2.5</sub> samples were collected during the heating season (HS) and the non-heating season (NHS), respectively. Heightened levels of PM<sub>2.5</sub> and chemical components were observed during the HS, particularly in urban areas. The urban and suburban PM<sub>2.5</sub> concentrations were 132.1 ± 56.8 μg m<sup>−3</sup> and 91.8 ± 42.5 μg m<sup>−3</sup> during the HS, which were 2.8 and 2.3 times higher than the NHS levels, respectively. High levels of urban nitrogen oxidation ratio (NOR) during the HS and suburban sulfur oxidation ratio (SOR) during the NHS were obtained. Organic matter and secondary inorganic aerosols (SNA: SO<sub>4</sub><sup>2−</sup>, NO<sub>3</sub><sup>−</sup>, and NH<sub>4</sub><sup>+</sup>) were the predominant components of PM<sub>2.5</sub>. Compared to the HS, increased SNA and geological material were observed in the NHS. NH<sub>4</sub>NO<sub>3</sub> was the dominant contributor to the light extinction coefficient (b<sub>ext</sub>). The results indicated that PM<sub>2.5</sub> mass, health risks from heavy metals, and b<sub>ext</sub> were primarily attributed to biomass burning, industrial emissions, and secondary aerosols, respectively. Enhanced emission abatement of major primary sources and reducing the precursors of secondary aerosols could effectively improve visibility in the areas.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102205"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A modified PSO based hybrid deep learning approach to predict AQI of urban metropolis

IF 6 2区工程技术

Urban Climate Pub Date : 2024-11-01 DOI: 10.1016/j.uclim.2024.102212

Nairita Sarkar, Pankaj Kumar Keserwani, Mahesh Chandra Govil

{"title":"A modified PSO based hybrid deep learning approach to predict AQI of urban metropolis","authors":"Nairita Sarkar, Pankaj Kumar Keserwani, Mahesh Chandra Govil","doi":"10.1016/j.uclim.2024.102212","DOIUrl":"10.1016/j.uclim.2024.102212","url":null,"abstract":"<div><div>Environment and human health are seriously threatened by air pollution. The effects of air pollution are more severe in metropolitan areas due to the presence of harmful pollutants. The goal of this work is to forecast the Air Quality Index (AQI), of 15 metropolitan cities in India and analyze various air pollutants that are mostly responsible for higher levels of air pollution in a particular city. Firstly, air quality data from 15 metropolitan cities were gathered and preprocessed appropriately. The prediction models were then trained using the preprocessed dataset. Modified Particle Swarm Optimization (MPSO)-based two hybrid deep learning models: Long-Short Term Memory (LSTM) along with Bi-directional Recurrent Neural Network (BiRNN) and LSTM along with Gated Recurrent Unit (GRU) are proposed and the experimental analysis demonstrated that the proposed MPSO-LSTM-BiRNN and MPSO-LSTM-GRU models outperformed the other models' performance in terms of Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) values. MPSO-LSTM-BiRNN model provides MSE, RMSE, MAE, and MAPE of 0.000184, 0.0135, 0.0088, and 27.69 % respectively whereas, the MPSO-LSTM-GRU model gives MSE, RMSE, MAE, and MAPE of 0.000188, 0.0137, 0.0091 and 26.16 % respectively.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102212"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing urban growth exposure to sea level rise using a machine learning based model with Alexandria as a case study

IF 6 2区工程技术

Urban Climate Pub Date : 2024-11-01 DOI: 10.1016/j.uclim.2024.102217

Mohamed Noby , Linda See , Ayyoob Sharifi , Omar Hamdy

{"title":"Assessing urban growth exposure to sea level rise using a machine learning based model with Alexandria as a case study","authors":"Mohamed Noby , Linda See , Ayyoob Sharifi , Omar Hamdy","doi":"10.1016/j.uclim.2024.102217","DOIUrl":"10.1016/j.uclim.2024.102217","url":null,"abstract":"<div><div>Alexandria governorate, like most coastal developing regions around the world, suffers from uncontrolled urban sprawl through high-risk areas vulnerable to threats related to climate change. This could result in significant consequences such as an accelerated sea level rise, which is expected to directly impact most low-lying coastal cities worldwide. This paper examines the impact of sea level rise on existing and future predicted urban growth areas in the Alexandria governorate as a case study. Additionally, it compares the total estimated economic losses for urban areas under both scenarios. For predicting future urban areas exposed to the threat of sea level rise, a multilayer perceptron (MLP) based model was used. The results show that if urban areas continue to expand into regions at risk of sea level rise, total urban exposure will be at least doubled. This will almost triple the expected direct economic losses for urban areas by the end of the century. Using remotely sensed, open data and geographic information system-based applications for data processing, this approach can be easily transferred to other regions to aid decision making toward urban resilience.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102217"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

City-scale assessment of pedestrian exposure to air pollution: A case study in Barcelona 行人暴露于空气污染的城市规模评估：巴塞罗那案例研究

IF 6 2区工程技术

Urban Climate Pub Date : 2024-11-01 DOI: 10.1016/j.uclim.2024.102183

Jan Mateu Armengol , Cristina Carnerero , Clément Rames , Álvaro Criado , Javier Borge-Holthoefer , Albert Soret , Albert Solé-Ribalta

{"title":"City-scale assessment of pedestrian exposure to air pollution: A case study in Barcelona","authors":"Jan Mateu Armengol , Cristina Carnerero , Clément Rames , Álvaro Criado , Javier Borge-Holthoefer , Albert Soret , Albert Solé-Ribalta","doi":"10.1016/j.uclim.2024.102183","DOIUrl":"10.1016/j.uclim.2024.102183","url":null,"abstract":"<div><div>Air pollution is a pressing environmental risk to public health, particularly in cities where population density and pollution levels are high. Traditional methods for exposure analysis often rely on census data, but recent studies highlight the impact of daily mobility on individuals' exposure. Here, we develop a methodology to determine unprecedented pedestrian exposure estimates at the city scale by combining sidewalk pedestrian flows with high-resolution (25 m × 25 m) NO<sub>2</sub> data from bias-corrected predictions of the air quality system CALIOPE-Urban. Applied to Barcelona (Spain) for the year 2019, we show that pedestrian flow and NO<sub>2</sub> levels exhibit negligible temporal correlation. While short-term (hourly) exposure is driven by pedestrian mobility, long-term (monthly) exposure is dominated by NO<sub>2</sub> patterns. We identify strong spatial gradients of exposure, highlighting the importance for high-resolution solutions at the sidewalks scale. Finally, we determine that exposure mitigation strategies should consider different citizen subgroups based on their mobility and preferred routes, as significant differences were found between residential and pedestrian exposure. Our results provide exposure indicators designed for city planners and policymakers, helping to prioritize mitigation measures where and when they are most needed.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102183"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Asymmetric trends in sulfates, nitrates, and ammonium in PM2.5 of Chengdu: Insights from five years of hourly observations 成都 PM2.5 中硫酸盐、硝酸盐和铵的不对称趋势：五年每小时观测的启示

IF 6 2区工程技术

Urban Climate Pub Date : 2024-11-01 DOI: 10.1016/j.uclim.2024.102190

Qian Jin , Miao Feng , Yunfei Liu , Qi Liu , Siyuan Zhang , Dongwei Gui

{"title":"Asymmetric trends in sulfates, nitrates, and ammonium in PM2.5 of Chengdu: Insights from five years of hourly observations","authors":"Qian Jin , Miao Feng , Yunfei Liu , Qi Liu , Siyuan Zhang , Dongwei Gui","doi":"10.1016/j.uclim.2024.102190","DOIUrl":"10.1016/j.uclim.2024.102190","url":null,"abstract":"<div><div>Sulfate, nitrate, and ammonium (SNA) are critical components of PM<sub>2.5</sub>, posing significant health risks and playing a vital role in air pollution formation in megacities. Long-term monitoring and high-time resolution temporal data of these pollutants are essential for identifying potential sources as well as evaluating and planning control measures. This study analyzes a five-year real-time dataset of PM<sub>2.5</sub> and SNA in Chengdu, southwest China, with a focus on the effects of human activities, particularly during holidays, on air pollution. We examined annual and seasonal trends, weekend and holiday effects, meteorological influences, and regional sources of these pollutants using Generalized Additive Model, Conditional Probability Function, and Concentration Weighted Trajectory methods. The results indicate a 12.34 % reduction in PM<sub>2.5</sub> concentrations from 2017 to 2021, with limited improvement compared to other megacities. Holiday periods, such as Labor Day and Dragon Boat Festival, were associated with significant concentration spikes in PM<sub>2.5</sub>, sulfate, nitrate, and ammonium due to increased human activities and biomass burning. Dewpoint temperature was identified as the most significant meteorological factor influencing SNA formation with a nonlinear effect. These findings highlight the need for targeted pollution control measures during holiday periods to mitigate short-term pollution spikes.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102190"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Changes in urban heat island intensity with background temperature and humidity and their associations with near-surface thermodynamic processes 城市热岛强度随背景温度和湿度的变化及其与近地表热力学过程的关系

IF 6 2区工程技术

Urban Climate Pub Date : 2024-11-01 DOI: 10.1016/j.uclim.2024.102191

Kyeongjoo Park , Jong-Jin Baik , Han-Gyul Jin , Abeda Tabassum

{"title":"Changes in urban heat island intensity with background temperature and humidity and their associations with near-surface thermodynamic processes","authors":"Kyeongjoo Park , Jong-Jin Baik , Han-Gyul Jin , Abeda Tabassum","doi":"10.1016/j.uclim.2024.102191","DOIUrl":"10.1016/j.uclim.2024.102191","url":null,"abstract":"<div><div>This study investigates changes in urban heat island (UHI) intensity with background temperature and humidity and their associations with physical processes. For this, we conducted idealized ensemble simulations with different initial potential temperature and water vapor mixing ratio profiles using the Weather Research and Forecasting (WRF) model. The daytime and nighttime UHI intensities increase with increasing background temperature at rates of 0.03 °C °C<sup>−1</sup> and 0.20 °C °C<sup>−1</sup>, respectively. The daytime and nighttime UHI intensities decrease with increasing background humidity at rates of −0.01 °C (g kg<sup>−1</sup>)<sup>−1</sup> and −0.28 °C (g kg<sup>−1</sup>)<sup>−1</sup>, respectively. The increase in background temperature increases the radiative cooling of rural air, enhancing the evening rural 2-m temperature decline. This also decreases the radiative heating of urban air and increases urban advective cooling, but decreases urban turbulent mixing. Consequently, the evening urban 2-m temperature decline is less enhanced, increasing the nighttime UHI intensity. The increase in background humidity decreases the radiative cooling of rural air, weakening the evening rural 2-m temperature decline. This also increases the radiative heating of urban air and decreases urban advective cooling, but increases urban turbulent mixing. Consequently, the evening urban 2-m temperature decline is less weakened, decreasing the nighttime UHI intensity.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102191"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterizing and predicting carbon emissions from an emerging land use perspective: A comprehensive review 从新兴土地利用角度描述和预测碳排放：全面回顾

IF 6 2区工程技术

Urban Climate Pub Date : 2024-11-01 DOI: 10.1016/j.uclim.2024.102141

Haizhi Luo , Zhengguang Liu , Yingyue Li , Xiangzhao Meng , Xiaohu Yang

{"title":"Characterizing and predicting carbon emissions from an emerging land use perspective: A comprehensive review","authors":"Haizhi Luo , Zhengguang Liu , Yingyue Li , Xiangzhao Meng , Xiaohu Yang","doi":"10.1016/j.uclim.2024.102141","DOIUrl":"10.1016/j.uclim.2024.102141","url":null,"abstract":"<div><div>Global warming has heightened the focus on carbon emissions. The IPCC 2023 Special Report: Climate Change and Land highlights the emerging field of land use-based carbon emissions characterization and prediction. This comprehensive review compares the advantages of Land Use and Land Cover Change in carbon emissions characterization and prediction against traditional methods. Using bibliometrics, the review analyzes the international attention, disciplines, and keywords of this field, revealing its division into methodological and empirical research. From the methodological perspective, the review summarizes key methods and core nodes, highlighting the limitations of existing frameworks and offering future outlooks. From the empirical perspective, it outlines carbon reduction strategies related to land use. The main conclusions include: 1) This emerging field offers several advantages, including high-precision data acquisition, spatial mapping of emissions, long-term predictive capabilities, real-time emission characterization, and the development of specific, controllable mitigation strategies; 2) It is advancing with technological progress and interdisciplinary collaboration, gaining global attention; 3) The field is divided into four directions, with emerging keywords identified for each, indicating that innovative methods will attract future attention; 4) Methodological goals include efficient land use subdivision, robust and interpretable regression modeling, and high-performance simulation model development; 5) Empirical research shows that land use planning, urban form control, and carbon reduction technologies reduce emission intensity, with broad applications and evaluations crucial for future research.</div></div>","PeriodicalId":48626,"journal":{"name":"Urban Climate","volume":"58 ","pages":"Article 102141"},"PeriodicalIF":6.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0