检索结果-内蒙古大学图书馆

5th International Conference on Protection of Historical Constructions, PROHITECH 2025

作者： Marranzini, Dante Verre, Salvatore Iovane, Giacomo Ruggieri, Nicola Brunetti, Michele Nocetti, Michela Togni, Marco Ombres, Luciano Faggiano, Beatrice Department of Structures for Engineering and Architecture University of Naples Federico II Naples Italy Faculty of Engineering University eCampus Como Novedrate22060 Italy Superintendence for Archaeology Fine Arts and Landscape for the Province of Cosenza Cosenza Italy Sesto Fiorentino Florence Italy Department of Agriculture Food Environment and Forestry System University of Florence Florence Italy Department of Civil Engineering University of Calabria Cosenza Italy

ISBN: (纸本)9783031873157

The paper deals with an experimental campaign of destructive tests in bending carried out on timber members in structural dimensions. The sample consists of 18 timber specimens of Chestnut (Castanea sativa) and Corsican Pine (Pinus nigra subsp. Laricio, Poir., Maire). They were part of the rafters extracted from the roof trusses of the 16th century building, the lyceum gymnasium Bernardino Telesio, located in the historic centre of Cosenza (Italy). The specimens dated back approximately to the mid-eighteenth century. Prior to destructive tests, all elements were strength-graded through visual assessment and non-destructive techniques (NDT). In this work, the four-point bending tests of the specimens, under quasi-static loading conditions are presented. The testing procedure applied was performed in preliminary elastic cycles and then until failure, according to EN 408 (2012). The obtained results were analyzed to derive local and global elastic moduli, as well as bending strength. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Nondestructive examination

来源：评论

学校读者我要写书评

暂无评论

Estimating the effects of climate change on home meal replacement consumption in South Korea

引用

Regional Environmental Change 2025年第2期25卷 1-12页

作者： Suh, Yena Yoon, Heeyeun Department of Landscape Architecture and Rural Systems Engineering College of Agriculture and Life Sciences Integrated Major in Smart City Global Convergence Seoul National University 1 Gwanak-Ro Gwanak-Gu Seoul 08826 South Korea Department of Landscape Architecture and Rural Systems Engineering College of Agriculture and Life Sciences Research Institute of Agriculture and Life Sciences Seoul National University 1 Gwanak-Ro Gwanak-Gu Seoul 08826 South Korea

Climate change is a significant global concern, affecting ecosystems, human societies, and daily life. South Korea is particularly vulnerable to climate change, experiencing increasing temperatures and more frequent severe weather events. These meteorological changes influence consumers to adjust their consumption patterns, as demonstrated in previous research. This study examines the specific effects of climate change on food consumption patterns at the district level in South Korea, focusing on Home Meal Replacement (HMR) products. While previous studies have explored socioeconomic and demographic factors affecting HMR consumption, this study investigates the influence of meteorological factors such as temperature, humidity, precipitation, and extreme weather events. Spatial autocorrelation and the distribution of HMR consumption patterns among 250 districts were analyzed using Moran’s I test and Local Indicators of Spatial Association (LISA) analysis. The global Moran’s I was found to be 0.83, justifying the use of a spatial model. Additionally, a panel spatial error model was employed to assess factors explaining HMR consumption patterns, considering spatial heterogeneity and spillover effects between adjacent areas. The findings confirm that increased average temperature leads to higher consumption of HMR products, while high average humidity is associated with decreased consumption. Moreover, higher consumption patterns are clustered in metropolitan areas, while lower consumption patterns are observed in non-metropolitan areas with higher concentrations of elderly populations. These findings enhance our understanding of how climate change, as well as demographic and socioeconomic factors, influence HMR consumption at the district level in South Korea. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Climate change Credit card data Food consumption pattern Home Meal Replacement Panel spatial error model

来源：评论

学校读者我要写书评

暂无评论

Enhanced Ventilation and Energy Efficiency of an Optimized Double-Channel Solar Chimney

引用

Buildings 2025年第8期15卷 1380-1380页

作者： Ye, Chenle Zhang, Yanfei Lv, Qinming Lou, Shaoyang Luo, Xiaojun Chen, Zhonggou Zhang, Guoyi Department of Landscape and Architecture Zhejiang Agriculture and Forestry University Hangzhou311300 China Bureau of Housing and Urban-Rural Development of Pingyang County Wenzhou325400 China China Construction Fifth Engineering Division Co. Ltd. Hangzhou311300 China

This study explores the use of solar chimneys to harness solar radiation, generating a chimney effect that promotes natural ventilation in buildings. However, the performance of double-channel solar chimneys is heavily influenced by their installation conditions. We propose an optimized double-channel solar chimney with a deflector placed at the base of the collector. Through numerical simulations, we analyze how different deflector installation conditions affect the ventilation performance of the optimized system. Key parameters for the deflector installation include its angle and length. Our findings reveal that the optimal configuration for the double-channel solar chimney occurs when the deflector has a horizontal angle of γ = 35° and a length-to-diameter ratio (l/D) of 0.3. Under a solar radiation intensity of 800 W/m2, the optimized system achieved a ventilation rate of 0.185 kg/s and a thermal efficiency of 41.2%. Compared with conventional double-channel solar chimneys, this configuration enhanced ventilation performance by 8.2% and increased thermal efficiency by 7.4%. In the calculations, the optimized system resulted in a 13.6% reduction in energy consumption, underscoring its potential for sustainable architectural design. © 2025 by the authors.

关键词： Architectural design

来源：评论

学校读者我要写书评

暂无评论

Estimation of Flood Inundation Area Using Soil Moisture Active Passive Fractional Water Data with an LSTM Model

引用

Sensors 2025年第8期25卷 2503-2503页

作者： Febrian, Rekzi D. Kim, Wanyub Lee, Yangwon Kim, Jinsoo Choi, Minha Department of Global Smart City Sungkyunkwan University Suwon440-746 Korea Republic of Major of Geomatics Engineering Division of Earth Environmental System Science Pukyong National University Busan48513 Korea Republic of Department of Water Resources Graduate School of Water Resources Sungkyunkwan University Suwon440-746 Korea Republic of School of Civil Architectural Engineering & Landscape Architecture Sungkyunkwan University Suwon440-746 Korea Republic of

Highlights: What are the main findings? High performance of area under the curve (AUC) and confusion-matrix-based evaluation index from an LSTM model. Complex terrain and dense vegetation reduce flood detection performance. What is the implication of the main finding? A high accuracy estimation of fractional water (FW) in areas near water bodies. Fluctuations in measured FW and producing a false positive (FP) and false negative (FN) detection. Accurate flood monitoring and forecasting techniques are important and continue to be developed for improved disaster preparedness and mitigation. Flood estimation using satellite observations with deep learning algorithms is effective in detecting flood patterns and environmental relationships that may be overlooked by conventional methods. Soil Moisture Active Passive (SMAP) fractional water (FW) was used as a reference to estimate flood areas in a long short-term memory (LSTM) model using a combination of soil moisture information, rainfall forecasts, and floodplain topography. To perform flood modeling in LSTM, datasets with different spatial resolutions were resampled to 30 m spatial resolution using bicubic interpolation. The model’s efficacy was quantified by validating the LSTM-based flood inundation area with a water mask from Senti-nel-1 SAR images for regions with different topographic characteristics. The average area under the curve (AUC) value of the LSTM model was 0.93, indicating a high accuracy estimation of FW. The confusion matrix-derived metrics were used to validate the flood inundation area and had a high-performance accuracy of ~0.9. SMAP FW showed optimal performance in low-covered vegetation, seasonal water variations and flat regions. The estimates of flood inundation areas show the methodological promise of the proposed framework for improved disaster preparedness and resilience. © 2025 by the authors.

关键词： Soil moisture

来源：评论

学校读者我要写书评

暂无评论

The roadmap and strategy for prioritizing the development of public transport in China

引用

Multimodal Transportation 2025年第1期4卷

作者： Wang, Jing Liu, Changjian Wu, Zhouhao Liao, Rufeng Li, Gengze Lu, Huapu School of Civil Engineering Tsinghua University Beijing China Department of Urban and Rural Planning School of Architecture and Urban Planning Beijing University of Civil Engineering and Architecture Beijing China Transport Planning and Research Institute Ministry of Transport Beijing China China State Shipbuilding Corporation System Engineering Research Institute Beijing China Guangxi Road and Bridge Engineering Group Co. Ltd Beijing China

With the acceleration of urbanization and continuous population growth in China, transportation issues in central cities, especially large and mega-cities, have become increasingly prominent. A series of problems such as economic efficiency decline and reduced residents' well-being caused by traffic congestion have become significant factors constraining the sustainable development of cities. As a core component of the urban transportation system, the prioritized development of urban public transportation is crucial for alleviating traffic congestion, improving environmental quality, and enhancing residents' quality of life. However, from the beginning of 2023, the share of public transportation in residents' travel has gradually decreased, with the total passenger volume still lower than the same period in 2019. In response to the challenges faced by the public transportation system under the new circumstances, this paper reviews the necessity of prioritized development of urban public transportation, analyzes the reasons for the decline in the share of public transportation in residents' overall travel modes, and proposes targeted suggestions. On this basis, the paper explores the intrinsic connection between the strategy of prioritizing public transportation development and sustainable urban development. © 2024 The Author(s)

关键词： Bus sharing rate Sustainable development Urban public transportation

来源：评论

学校读者我要写书评

暂无评论

Predicting the impacts of climate change on nonpoint source pollutant loads from agricultural small watershed using artificial neural network

引用

Journal of Environmental Sciences 2010年第6期22卷 840-845页

作者： Eunjeong Lee Chounghyun Seong Hakkwan Kim Seungwoo Park Moonseong Kang Department of Landscape Architecture and Rural Systems Engineering Research Institute for Agricultural & Life Sciences Seoul National University

This study described the development and validation of an artificial neural network （ANN） for the purpose of analyzing the effects of climate change on nonpoint source （NPS） pollutant loads from agricultural small watershed. The runoff discharge was estimated using ANN algorithm. The performance of ANN model was examined using observed data from study watershed. The simulation results agreed well with observed values during calibration and validation periods. NPS pollutant loads were calculated from load-discharge relationship driven by long-term monitoring data. LARS-WG （Long Ashton Research Station-Weather Generator） model was used to generate rainfall data. The calibrated ANN model and load-discharge relationship with the generated data from LARS-WG were applied to analyze the effects of climate change on NPS pollutant loads from the agricultural small watershed. The results showed that the ANN model provided valuable approach in estimating future runoff discharge, and the NPS pollutant loads.

关键词： artificial neural network climate change LARS-WG nonpoint source pollution runoff

来源：评论

学校读者我要写书评

暂无评论

RETRACTED: Multi-objective planning of micro-grid system considering renewable energy and hydrogen storage systems with demand response

引用

International Journal of Hydrogen Energy 2025年 114卷 354-354页

作者： J.R. Zhu Yihua Jin Weihong Zhu Dong-Kun Lee Navid Bohlooli Interdisciplinary Program in Landscape Architecture Seoul National University Seoul South Korea College of Agriculture Yanbian University JiLin China College of Geography and Ocean Sciences Yanbian University JiLin China Department of Landscape Architecture and Rural System Engineering Seoul National University Seoul South Korea Electrical Engineering Department Sun-Life Company Baku Azerbaijan

来源：评论

学校读者我要写书评

暂无评论

Optimizing urban green spaces using a decision-support model for carbon sequestration and ecological connectivity

引用

Journal of Environmental Management 2025年 384卷 125058页

作者： Hwang, Hyemee Kim, Daseul Kim, Sanghyuck Kim, Ji Yeon Kim, Eun Sub Yang, Tackang Lee, Nagyeom Piao, Yong Park, Byeong Jin Lee, Dong Kun Department of Landscape Architecture and Rural Systems Engineering College of Agriculture and Life Sciences Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Interdisciplinary Program in Landscape Architecture Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Research Institute of Agriculture and Life Sciences Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Restructuring Team SK Forest Seoul Korea Republic of Low-Carbon and Climate Impact Research Centre School of Energy and Environment City University of Hong Kong Hong Kong Yanbian University College of Geography and Ocean Sciences Hunchun133300 China

Urban green spaces (UGSs) are vital for enhancing urban ecological health and resident well-being. However, their diverse functions need to be balanced based on spatial limitations and varying stakeholder preferences. Integrated planning approaches are needed to exploit the multiple benefits of UGSs. This study introduces a multi-objective decision-support model designed to optimize UGS planning by simultaneously addressing carbon sequestration, ecological connectivity, and cost constraints. The model incorporates the non-dominated sorting genetic algorithm II to identify Pareto-optimal solutions for tailored decision-making strategies that balance different priorities. The model indicated that ecological connectivity can be improved by 7.57 % while meeting carbon-reduction and budgetary targets. The model effectively balanced trade-offs, underscoring the importance of both the quantity and strategic placement of green space. This decision-support framework empowers decision-makers to rapidly simulate and validate optimal scenarios, effectively balance competing objectives, and provide a scientific basis through verifiable feedback, ultimately promoting the development of sustainable urban environments. © 2025 Elsevier Ltd

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Effect of Implementing Ecosystem Functional Type Data in a Mesoscale Climate Model

引用

Advances in Atmospheric Sciences 2013年第5期30卷 1373-1386页

作者： Seung-Jae LEE E. Hugo BERBERY Domingo ALCARAZ-SEGURA Complex Systems Science Laboratory Department of Landscape Architecture and Rural Systems Engineering Seoul National University Department of Atmospheric and Oceanic Science University of Maryland College Park Department of Botany University of Granada

In this paper, we introduce a new concept of land-surface state representation for southern South America, which is based on ＂functional＂ attributes of vegetation, and implement a new land-cover （Ecosystem Functional Type, hereafter EFT） dataset in the Weather and Research Forecasting （WRF） model. We found that the EFT data enabled us to deal with functional attributes of vegetation and time-variant features more easily than the default land-cover data in the WRF. In order to explore the usefulness of the EFT data in simulations of surface and atmospheric variables, numerical simulations of the WRF model, using both the US Geological Survey （USGS） and the EFT data, were conducted over the La Plata Basin in South America for the austral spring of 1998 and compared with observations. Results showed that the model simulations were sensitive to the lower boundary conditions and that the use of the EFT data improved the climate simulation of 2-m temperature and precipitation, implying the need for this type of information to be included in numerical climate models.

关键词： Ecosystem Functional Type WRF land cover climate simulation

来源：评论

学校读者我要写书评

暂无评论

VIS-NIR spectroscopy and environmental factors coupled with PLSR models to predict soil organic carbon and nitrogen

引用

International Soil and Water Conservation Research 2024年第4期12卷 844-854页

作者： Jingrong Zhu Yihua Jin Weihong Zhu Dong Kun Lee College of Agriculture Yanbian UniversityJilinChina College of Geography and Ocean Sciences Yanbian UniversityJilinChina Jilin Provincial Key Laboratory of Wetland Ecological Functions and Ecological Security HunchunChina Department of Landscape Architecture and Rural System Engineering Seoul National UniversitySeoulSouth Korea

Soil profile organic carbon(OC)and total nitrogen(TN)are influenced by topographic attributes,and land *** visible and near-infrared(Vis-NIR)spectroscopy method can be used for the prediction of OC and TN because it is reliable,nondestructive,fast,and ***-NIR soil spectral and environmental data were combined with the Partial least squares regression(PLSR)model to examine the effect of topography attributes and land use on topsoil and subsoil OC and TN *** this,based on the soil depth,114 soil samples were collected from 0 to 20 cm(topsoil)and 20-50 cm(subsoil)under three land uses,as well as OC and TN,along with several soil properties including soil particles(sand,silt,clay),pH,and bulk density in both topsoil and subsoil samples were measured.A DEM with a resolution of 30 m was used to derive the topography factors and remote sensing data was used to calculate the vegetation ***(0-50 cm)under orchard land use had the highest stock of SOC(7.4 kg m^(-2))as well as TN(2.4 kg m^(-2)).There was a significant increase in the organic matter stock of soils located on the south aspect(8.3 kg m^(-2))compared to soils located on other aspects,particularly on the north aspect(3.9%increase).Soils on the south aspect contain higher soil-water contents and lower temperatures,resulting in a decrease in the decomposition of soil organic matter.A strong positive correlation was demonstrated between topography wetness index(0.57-0.63)and topography TN stocks(0.54-0.66)as well as the highest loading score among terrain attributes,suggesting that topography is the primary factor controlling SOC stocks,particularly subsoil ***,we found that soils on the southfacing aspects(N aspects)had the highest ***,the PLSR,which showed an R^(2) of 0.82,a RMSE of 0.15%,and a RPD of 0.39 indicated excellent prediction capabilities for the OC *** concluded that the PLSR model coupled with Vis-NIR spectroscopy is able to pred

关键词： DEM NDVI Spectra PLSR TWI

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：