Environmental Modeling & Assessment最新文献

Informational Nudges and Environmental Preferences in a Public Goods Game in Networks 网络公益博弈中的信息暗示与环境偏好

IF 2.4 4区环境科学与生态学

Environmental Modeling & Assessment Pub Date : 2024-01-13 DOI: 10.1007/s10666-023-09951-9

Benjamin Ouvrard, Anne Stenger

引用次数: 0

Addressing the Boundary and Modifiable Areal Unit Problems Simultaneously when Measuring Landscape Fragmentation Using Patch-Based Metrics: a Case Study of Effective Mesh Size in Nova Scotia, Canada 使用基于斑块的度量方法测量景观破碎度时同时解决边界和可修改面积单位问题：加拿大新斯科舍省有效网目尺寸案例研究

IF 2.4 4区环境科学与生态学

Environmental Modeling & Assessment Pub Date : 2024-01-11 DOI: 10.1007/s10666-023-09950-w

Caitlin Cunningham, K. Beazley, Peter G. Bush, J. Brazner

引用次数: 0

Interpolation, Satellite-Based Machine Learning, or Meteorological Simulation? A Comparison Analysis for Spatio-temporal Mapping of Mesoscale Urban Air Temperature 插值，基于卫星的机器学习，还是气象模拟?城市中尺度气温时空制图的对比分析

4区环境科学与生态学

Environmental Modeling & Assessment Pub Date : 2023-11-14 DOI: 10.1007/s10666-023-09943-9

Amirhossein Hassani, Gabriela Sousa Santos, Philipp Schneider, Núria Castell

{"title":"Interpolation, Satellite-Based Machine Learning, or Meteorological Simulation? A Comparison Analysis for Spatio-temporal Mapping of Mesoscale Urban Air Temperature","authors":"Amirhossein Hassani, Gabriela Sousa Santos, Philipp Schneider, Núria Castell","doi":"10.1007/s10666-023-09943-9","DOIUrl":"https://doi.org/10.1007/s10666-023-09943-9","url":null,"abstract":"Abstract Fine-resolution spatio-temporal maps of near-surface urban air temperature ( T a ) provide crucial data inputs for sustainable urban decision-making, personal heat exposure, and climate-relevant epidemiological studies. The recent availability of IoT weather station data allows for high-resolution urban T a mapping using approaches such as interpolation techniques or machine learning (ML). This study is aimed at executing these approaches and traditional numerical modeling within a practical and operational framework and evaluate their practicality and efficiency in cases where data availability, computational constraints, or specialized expertise pose challenges. We employ Netatmo crowd-sourced weather station data and three geospatial mapping approaches: (1) Ordinary Kriging, (2) statistical ML model (using predictors primarily derived from Earth Observation Data), and (3) weather research and forecasting model (WRF) to predict/map daily T a at nearly 1-km spatial resolution in Warsaw (Poland) for June–September and compare the predictions against observations from 5 meteorological reference stations. The results reveal that ML can serve as a viable alternative approach to traditional kriging and numerical simulation, characterized by reduced complexity and higher computational speeds within the domain of urban meteorological studies (overall RMSE = 1.06 °C and R 2 = 0.94, compared to ground-based meteorological stations). The results have implications for identifying the urban regions vulnerable to overheating and evidence-based urban management in response to climate change. Due to the open-sourced nature of the applied predictors and input parsimony, the ML method can be easily replicated for other EU cities.","PeriodicalId":50515,"journal":{"name":"Environmental Modeling & Assessment","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134991857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental Study of the Performance of Solar Evaporative Watercooler with Clay Tank 带有粘土罐的太阳能蒸发式冷水机性能试验研究

4区环境科学与生态学

Environmental Modeling & Assessment Pub Date : 2023-11-10 DOI: 10.1007/s10666-023-09941-x

Mojtaba Moravej

引用次数: 0

Winter Wheat Crop Models Improve Growth Simulation by Including Phenological Response to Water-Deficit Stress 冬小麦作物模型通过纳入水分亏缺胁迫的物候响应来改善生长模拟

4区环境科学与生态学

Environmental Modeling & Assessment Pub Date : 2023-11-10 DOI: 10.1007/s10666-023-09939-5

Kyle R. Mankin, Debora A. Edmunds, Gregory S. McMaster, Fred Fox, Larry E. Wagner, Timothy R. Green

{"title":"Winter Wheat Crop Models Improve Growth Simulation by Including Phenological Response to Water-Deficit Stress","authors":"Kyle R. Mankin, Debora A. Edmunds, Gregory S. McMaster, Fred Fox, Larry E. Wagner, Timothy R. Green","doi":"10.1007/s10666-023-09939-5","DOIUrl":"https://doi.org/10.1007/s10666-023-09939-5","url":null,"abstract":"Abstract Crop models can provide insights into the impacts of climate and management on crop growth and yield, but most currently are limited by overly simplistic assumptions about phenological development and response to water stress. We assessed winter wheat growth and yield performance of three crop models with lineage to the EPIC crop submodel. SWAT adopted the EPIC approach with few modifications, WEPS added new biomass accumulation, partitioning, and canopy approaches linked to key phenological development stages, and UPGM added to WEPS a detailed phenology component simulating responses to water-deficit stress. The models were evaluated with default parameters and compared to experimental data for winter wheat ( Triticum aestivum L.) from two sites and a range of water-stress conditions for yield, aboveground biomass, biomass partitioning, canopy height, harvest index, and leaf area index. All models simulated yield very well (index of agreement [d] ≥ 0.93), but differences in model performance were increasingly evident for biomass (d = 0.91 [WEPS] to 0.86 [SWAT]), final canopy height (d = 0.68 [UPGM] to 0.44 [SWAT]), and harvest index (d = 0.61 [WEPS] to 0.43 [SWAT]). Errors in biomass simulation were most evident in the grain-filling period late in the growing season. Both WEPS and UPGM exhibited improved simulation of biomass and other response variables by including more explicit simulation of phenological response to water stress. The consistent improvement in winter wheat growth and yield simulation achieved with detailed phenology simulation provides an incentive to develop and test detailed phenology simulation components for other crops: currently 11 crops are simulated in UPGM, although the phenological parameters are uncalibrated. Better modeling linkages of water-stressed phenological development with other physiological processes will be critical to inform crop production where water stress and irrigation limitation are concerns.","PeriodicalId":50515,"journal":{"name":"Environmental Modeling & Assessment","volume":"124 46","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135138457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

New Economic Model of Eutrophication of Shallow Lakes and the Existence of Equivalent Policies 浅湖富营养化的新经济模型及等效政策的存在

4区环境科学与生态学

Environmental Modeling & Assessment Pub Date : 2023-11-08 DOI: 10.1007/s10666-023-09940-y

Luis Bayón, Pedro Fortuny Ayuso, José M. Grau, María M. Ruiz

引用次数: 0

Groundwater Level Modeling Using Multiobjective Optimization with Hybrid Artificial Intelligence Methods 基于混合人工智能方法的多目标优化地下水位建模

4区环境科学与生态学

Environmental Modeling & Assessment Pub Date : 2023-11-03 DOI: 10.1007/s10666-023-09938-6

Fatemeh Barzegari Banadkooki, Ali Torabi Haghighi

引用次数: 0

Strategies for Industrial Structure Adjustment to Achieve Near-Optimal Trade-Off Between Gross Domestic Product and Carbon Dioxide Emissions 实现国内生产总值与二氧化碳排放近最优权衡的产业结构调整策略

4区环境科学与生态学

Environmental Modeling & Assessment Pub Date : 2023-11-02 DOI: 10.1007/s10666-023-09937-7

Ting-Yu Chang, Hsing-Chen Lee, Cooper Cheng-Yuan Ku, Emilio Chang Sanchez

引用次数: 0

Informality and Inclusive Growth: What Lessons in the Literature from the African Experience? 非正式性与包容性增长:非洲经验对文献有何启示?

4区环境科学与生态学

Environmental Modeling & Assessment Pub Date : 2023-10-25 DOI: 10.1007/s10666-023-09934-w

Loudi Njoya, Ibrahim Ngouhouo, Borice Augustin Ngounou, Moussa Njoupouognigni, Christian-Lambert Nguena

引用次数: 0

Forest Exploitation at La Graufesenque in Roman Times: Would Long-Term Considerations Have Qualitatively Modified Its Course? 罗马时期格劳菲森克的森林开发:长期考虑是否会对其进程产生质的改变?

4区环境科学与生态学

Environmental Modeling & Assessment Pub Date : 2023-10-19 DOI: 10.1007/s10666-023-09935-9

Jean-Philippe Terreaux

引用次数: 0