Environmental Modelling & Software最新文献_第10页

FloodGame: An interactive 3D serious game on flood mitigation for disaster awareness and education “防洪游戏”：一款以防洪为主题的互动3D严肃游戏，旨在提高防灾意识和教育

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-03-04 DOI: 10.1016/j.envsoft.2025.106418

Bekir Z. Demiray , Yusuf Sermet , Enes Yildirim , Ibrahim Demir

引用次数: 0

Gridemis V2.0: A highly integrated algorithm scheme for high-resolution and multi-component allocation of emission inventories used in air quality models Gridemis V2.0：一种高度集成的算法方案，用于空气质量模型中使用的高分辨率和多组分排放清单分配

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-03-04 DOI: 10.1016/j.envsoft.2025.106416

Chuanda Wang , Wenjiao Duan , Shuiyuan Cheng , Xiaosong Hou , Junfeng Zhang , Yu Wang , Hanyu Zhang , Kai Wang , Rui Liu

{"title":"Gridemis V2.0: A highly integrated algorithm scheme for high-resolution and multi-component allocation of emission inventories used in air quality models","authors":"Chuanda Wang , Wenjiao Duan , Shuiyuan Cheng , Xiaosong Hou , Junfeng Zhang , Yu Wang , Hanyu Zhang , Kai Wang , Rui Liu","doi":"10.1016/j.envsoft.2025.106416","DOIUrl":"10.1016/j.envsoft.2025.106416","url":null,"abstract":"<div><div>A novel algorithm for generating multi-component, high-resolution emission inventories for air quality models (AQMs) was developed, enhancing the 0.01° spatial allocation scheme for points, lines, and surfaces based on land use, population density, and road networks. It incorporated localized chemical species allocation based on recent Volatile Organic Compounds (VOCs) and Particulate Matter (PM) composition, along with time allocation scheme utilizing monthly and hourly non-uniformity coefficients. The algorithm consists of four modules for grid calculation, refined inventory calculation, coarse grid interpolation, and model-ready inventory production. It achieved highly integrated and one-step workflow from raw parameter settings to direct model-ready emission files for simulations with CMAQ and CAMx. The Beijing-Tianjin-Hebei (BTH) region was used as example to introduce the production process and research characteristics of refined emission inventory. The results demonstrated that this algorithm effectively captures the spatiotemporal distribution and dynamics of atmospheric pollutants, offering significant support for emission and simulation research.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"188 ","pages":"Article 106416"},"PeriodicalIF":4.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

An advection-dispersion model for routing suspended sediment down the river network 一种沿河网输送悬浮泥沙的平流-弥散模型

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-03-04 DOI: 10.1016/j.envsoft.2025.106417

Arman Haddadchi , Calvin W. Rose

引用次数: 0

Multi-granularity PM2.5 concentration long sequence prediction model combined with spatial–temporal graph 结合时空图的多粒度PM2.5浓度长序列预测模型

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-03-03 DOI: 10.1016/j.envsoft.2025.106400

Bo Zhang , Hongsheng Qin , Yuqi Zhang , Maozhen Li , Dongming Qin , Xiaoyang Guo , Meizi Li , Chang Guo

{"title":"Multi-granularity PM2.5 concentration long sequence prediction model combined with spatial–temporal graph","authors":"Bo Zhang , Hongsheng Qin , Yuqi Zhang , Maozhen Li , Dongming Qin , Xiaoyang Guo , Meizi Li , Chang Guo","doi":"10.1016/j.envsoft.2025.106400","DOIUrl":"10.1016/j.envsoft.2025.106400","url":null,"abstract":"<div><div>Air pollution problem seriously affects the ecological environment and human health. More accurate predictions over a longer time span would enhance the effectiveness of early warning and prevention measures. Although existing methods have made progress in short sequence prediction, the predictions on long sequences remain challenges due to information loss. In this paper, we propose a spatial–temporal graph-based long sequence air pollutant prediction model. The proposed model first downsamples the time series into different granularities to capture the temporal features. Then, we use the vector production method to construct a spatial–temporal graph for each granularity which combines spatial information with temporal information. The unique spatial–temporal relationships of each city under different time granularities can be extracted by graph attention network (GAT). This approach helps model to capture dependencies in the time series comprehensively, thereby improving the accuracy of long sequence prediction. Based on the scenario and air pollution datasets imported from the detection station in Shanghai, extensive experiments show that the proposed model outperforms existing approaches on MSE and MAE.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"188 ","pages":"Article 106400"},"PeriodicalIF":4.8,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

PlotToSat: A tool for generating time-series signatures from Sentinel-1 and Sentinel-2 at field-based plots for machine learning applications PlotToSat：一个从Sentinel-1和Sentinel-2在基于现场的地块上生成时间序列签名的工具，用于机器学习应用

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-03-01 DOI: 10.1016/j.envsoft.2025.106395

Milto Miltiadou , Stuart Grieve , Paloma Ruiz-Benito , Julen Astigarraga , Verónica Cruz-Alonso , Julián Tijerín Triviño , Emily R. Lines

{"title":"PlotToSat: A tool for generating time-series signatures from Sentinel-1 and Sentinel-2 at field-based plots for machine learning applications","authors":"Milto Miltiadou , Stuart Grieve , Paloma Ruiz-Benito , Julen Astigarraga , Verónica Cruz-Alonso , Julián Tijerín Triviño , Emily R. Lines","doi":"10.1016/j.envsoft.2025.106395","DOIUrl":"10.1016/j.envsoft.2025.106395","url":null,"abstract":"<div><div>PlotToSat offers a practical and time efficient way to the challenge of extracting time-series from multiple Earth Observation (EO) datasets at numerous plots spread across a landscape. This opens up new opportunities to understand and model various ecosystems. Regarding forest ecology, plot networks play a vital role in monitoring and understanding the dynamics of forest ecosystems. These networks often contain thousands of plots arranged systematically to represent an ecosystem. Combining field data collected at plots with EO time-series will allow us to better understand phenology and ecosystem composition, structure and distribution. Linking plot networks with EO data without PlotToSat is time consuming and computational expensive because plots are small and spread out, requiring data from multiple satellite tiles. PlotToSat processed a full year of multi-tile Sentinel-1 and Sentinel-2 data (estimated 18.3TB) at 15,962 plots from the fourth Spanish Forest Inventory in less than 24 h. PlotToSat, implemented using the Python API of Google Earth Engine, offers a new and unique workflow that is innovative due to its efficient, scalable and adaptable implementation. It supports Sentinel-1 and Sentinel-2 data, but its flexible design eases integration of additional EO datasets. New environmental modelling is expected to emerge facilitating EO time-series analyses and investigating interactive effects of environmental drivers.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"188 ","pages":"Article 106395"},"PeriodicalIF":4.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

A generalised sigmoid population growth model with energy dependence: Application to quantify the tipping point for Antarctic shallow seabed algae 具有能量依赖的广义s型种群增长模型：用于量化南极浅海底藻类临界点的应用

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-03-01 DOI: 10.1016/j.envsoft.2025.106397

Elise Mills , Graeme F. Clark , Matthew J. Simpson , Mark Baird , Matthew P. Adams

{"title":"A generalised sigmoid population growth model with energy dependence: Application to quantify the tipping point for Antarctic shallow seabed algae","authors":"Elise Mills , Graeme F. Clark , Matthew J. Simpson , Mark Baird , Matthew P. Adams","doi":"10.1016/j.envsoft.2025.106397","DOIUrl":"10.1016/j.envsoft.2025.106397","url":null,"abstract":"<div><div>Sigmoid growth models are often used to study population dynamics. The size of a population at equilibrium commonly depends explicitly on the availability of resources, such as an energy or nutrient source, which is not explicit in standard sigmoid growth models. A simple generalised extension of sigmoid growth models is introduced that can explicitly account for this resource-dependence, demonstrated by three examples of this family of models of increasing mathematical complexity. Each model is calibrated and compared to observed data for algae under sea-ice in Antarctic coastal waters. It was found that through careful construction, models satisfying the proposed framework can estimate key properties of a sea-ice break-out controlled tipping point for the algae, which cannot be estimated using standard sigmoid growth models. The proposed broader family of energy-dependent sigmoid growth models likely has usage in many population growth contexts where resources limit population size.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"188 ","pages":"Article 106397"},"PeriodicalIF":4.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143577049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toward improved deep learning-based regionalized streamflow modeling : Exploiting the power of basin similarity 改进基于深度学习的区域化河流建模：利用流域相似性的力量

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-03-01 DOI: 10.1016/j.envsoft.2025.106374

Yang Xu , Heng Li , Yuqian Hu , Chunxiao Zhang , Bingli Xu

{"title":"Toward improved deep learning-based regionalized streamflow modeling : Exploiting the power of basin similarity","authors":"Yang Xu , Heng Li , Yuqian Hu , Chunxiao Zhang , Bingli Xu","doi":"10.1016/j.envsoft.2025.106374","DOIUrl":"10.1016/j.envsoft.2025.106374","url":null,"abstract":"<div><div>In deep learning (DL)-based regionalized streamflow modeling, basin similarity has demonstrated to be effective for sharing hydrological information. However, the differences in the use of hydrological information by DL due to different basin similarity strategies remain underexplored. For this, we cluster and regionalize 222 Australian basins based on hydrology, climate, landscape, and position characteristics, and compare their performance with the benchmark model. The results reveal: (1) Basin similarity strategies-based models outperform the benchmark model, demonstrating the effectiveness of basin similarity strategies; (2) Hydrology similarity yields the best model, while climate similarity is relatively stable, suggesting that the key hydrological information for improving DL performance comes from hydrology and climate characteristics; (3) The differences in DL’s utilization of hydrological information are influenced by the combined effects of basin climate, hydrology, soil, and vegetation conditions. This study provides insights into how DL-based regionalized streamflow modeling more effectively utilize basin hydrological information.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"188 ","pages":"Article 106374"},"PeriodicalIF":4.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

SHAP-NET, a network based on Shapley values as a new tool to improve the explainability of the XGBoost-SHAP model for the problem of water quality 基于Shapley值的网络，作为提高XGBoost-SHAP模型对水质问题的可解释性的新工具

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-03-01 DOI: 10.1016/j.envsoft.2025.106403

Marek Kruk

引用次数: 0

Generic spectral library framework for urban land cover mapping with optical remote sensing imagery 基于光学遥感影像的城市土地覆盖制图通用光谱库框架

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-02-28 DOI: 10.1016/j.envsoft.2025.106405

Frederik Priem , Marianne Jilge , Uta Heiden , Ben Somers , Frank Canters

{"title":"Generic spectral library framework for urban land cover mapping with optical remote sensing imagery","authors":"Frederik Priem , Marianne Jilge , Uta Heiden , Ben Somers , Frank Canters","doi":"10.1016/j.envsoft.2025.106405","DOIUrl":"10.1016/j.envsoft.2025.106405","url":null,"abstract":"<div><div>Spectral libraries link surface reflectance characteristics to thematic cover type interpretation. Despite their potential, spectral libraries are rarely used beyond their original application or analysis. In this paper we introduce the concept of a Generic Urban Spectral Library (GUSL). A GUSL is a thoroughly labelled collection of multi-site, -sensor and -temporal spectral libraries that supports urban mapping. The GUSL is envisioned as an open data source equipped with tools that facilitate deployment for different mapping purposes and image types. We introduce the GUSL concept, present a preliminary implementation containing eight spectral libraries and discuss two use case experiments performed with the spectral libraries and the GSL-tools currently included in the GUSL. The first use case focuses on GUSL expansion with image-derived spectral endmembers. From a 200 by 200-pixel hyperspectral urban image, we extract 229 endmember spectra. By comparing the extracted spectra to the spectra already included in the experimental GUSL, we demonstrate how the GUSL can reduce the burden of endmember labelling and identify spectra that are novel to the GUSL. In the second use case the experimental GUSL is used for mapping urban land cover from airborne hyperspectral data in two cities (Munich, Brussels) for which local spectra are included in the GUSL, and in a third city (Pavia) for which no local spectra are present in the library. Generalized material group and more detailed artificial material type mapping yield average user and producer accuracies ranging between 0.72 and 0.96. When mapping is performed on the Pavia image, the obtained material group accuracies remain reasonable, i.e., around 0.80. Our experimental results confirm the potential of the GUSL for urban library building and mapping. Future research avenues are proposed to move towards an operational GUSL.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"188 ","pages":"Article 106405"},"PeriodicalIF":4.8,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143577048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

What is the optimal digital elevation model grid size to best capture hillslope gullies and contour drains? 什么是最佳的数字高程模型网格大小，以最好地捕捉山坡沟壑和等高线排水？

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-02-27 DOI: 10.1016/j.envsoft.2025.106404

W.D. Dimuth P. Welivitiya , G.R. Hancock

引用次数: 0