Environmental Modelling & Software最新文献

Improving localized weather predictions for precision agriculture: A Time-Series Mixer approach for hazardous event detection 改进精准农业的局部天气预报：用于危险事件检测的时间序列混合方法

IF 4.9 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-05-15 DOI: 10.1016/j.envsoft.2025.106509

Marco Zanchi, Stefano Zapperi, Stefano Bocchi, Oxana Drofa, Silvio Davolio, Caterina A.M. La Porta

{"title":"Improving localized weather predictions for precision agriculture: A Time-Series Mixer approach for hazardous event detection","authors":"Marco Zanchi, Stefano Zapperi, Stefano Bocchi, Oxana Drofa, Silvio Davolio, Caterina A.M. La Porta","doi":"10.1016/j.envsoft.2025.106509","DOIUrl":"https://doi.org/10.1016/j.envsoft.2025.106509","url":null,"abstract":"Natural environmental systems and human activities are deeply interconnected, especially in agriculture. Despite advancements in agricultural techniques, weather remains a critical factor influencing crop yields and livestock health. Precision agriculture relies on weather predictions to mitigate environmental risks caused by weather. However, numerical weather predictions are generated by global or regional numerical models, lacking the resolution to capture site-specific conditions. Artificial intelligence can address this gap by integrating numerical weather predictions data with local station observations. This study employs the Time-Series Mixer (TSMixer) neural network to forecast temperature, wind speed, relative humidity, and precipitation over a 45-hour horizon. Trained with predictions from the MOLOCH model and data from ARPA stations near six agricultural sites in Northern Italy, TSMixer achieves greater accuracy than the MOLOCH model. Additionally, TSMixer excels in detecting hazardous events for precision agriculture, including frost damage, heat stress, and germination block, highlighting its value for environmental risk management.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"33 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067547","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

Improving the consistency of hydrologic event identification 提高水文事件识别的一致性

IF 4.9 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-05-13 DOI: 10.1016/j.envsoft.2025.106521

Mohammad Masoud Mohammadpour Khoie, Danlu Guo, Conrad Wasko

引用次数: 0

Geometric approach based tool for shallow landslides propagation assessment (ShaLPA) at basin scale 基于几何方法的盆地尺度浅层滑坡传播评价工具

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-05-10 DOI: 10.1016/j.envsoft.2025.106512

Luca Maria Falconi , Lorenzo Moretti , Claudio Puglisi , Gaia Righini

{"title":"Geometric approach based tool for shallow landslides propagation assessment (ShaLPA) at basin scale","authors":"Luca Maria Falconi , Lorenzo Moretti , Claudio Puglisi , Gaia Righini","doi":"10.1016/j.envsoft.2025.106512","DOIUrl":"10.1016/j.envsoft.2025.106512","url":null,"abstract":"<div><div>Hazard maps for shallow landslides at the basin or regional scale often provide information solely about past events and/or potential source areas. Despite the availability of several propagation assessment software tools, runout maps for potential shallow landslides at the basin scale remain scarce.</div><div>To address this gap, the ShaLPA runout GIS tool was developed as an easy-to-use and efficient solution. Based on a geometric approach, the tool consists of five distinct, sequential scripts that begin with defined source areas. By processing a detailed Digital Terrain Model, the first script identifies the starting points and the second traces the potential paths of shallow landslides. The third script calculates the runout, while the fourth estimates velocity distribution and kinetic energy along the paths. The fifth script assess the reliability of the model results using two different indicators.</div><div>ShaLPA was first tested in the Giampilieri and Briga area (Sicily, Italy), providing encouraging results. The simplicity of the ShaLPA tool promotes the integration of runout and failure susceptibility analyses, enhancing the comprehensiveness of hazard and risk assessment and improving the effectiveness of landslide mitigation measures.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"191 ","pages":"Article 106512"},"PeriodicalIF":4.8,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143934899","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 novel integrated computational approach for agroecological similarity 一种新的农业生态相似性综合计算方法

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-05-09 DOI: 10.1016/j.envsoft.2025.106494

Franck B.N. Tonle , Henri E.Z. Tonnang , Milliam M.Z. Ndadji , Maurice T. Tchendji , Armand Nzeukou , Saliou Niassy

{"title":"A novel integrated computational approach for agroecological similarity","authors":"Franck B.N. Tonle , Henri E.Z. Tonnang , Milliam M.Z. Ndadji , Maurice T. Tchendji , Armand Nzeukou , Saliou Niassy","doi":"10.1016/j.envsoft.2025.106494","DOIUrl":"10.1016/j.envsoft.2025.106494","url":null,"abstract":"<div><div>Assessing agroecological similarity is crucial for shaping sustainable agricultural practices and resource allocation, especially in regions undergoing rapid environmental changes. Current evaluation methods face challenges such as managing large datasets, adjusting for temporal variations across locations, and the need for accessible, comprehensive analytical tools. Addressing these challenges, this paper presents the Agroecology Fourier-based Similarity Assessment (AFSA), an innovative computational approach that applies principles of the Fourier transform to systematically evaluate similarities among agroecological sites. To enhance usability, AFSA is complemented by <em>webafsa</em>, a user-friendly web application designed for researchers and policymakers, emphasizing ease of use and broad applicability. The implementation of AFSA and <em>webafsa</em> aims to improve land suitability assessments, enhance decision-making for resource allocation, and support better adaptation strategies for sustainable agriculture. By offering both a sophisticated computational methodology and an accessible decision-support tool, this study paves the way for more informed and environmentally considerate agricultural practices.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"191 ","pages":"Article 106494"},"PeriodicalIF":4.8,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143946926","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 accurate forecasting model for key water quality factors based on Transformer with multi-scale attention mechanism 基于变压器多尺度关注机制的水质关键因子精确预测模型

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-05-09 DOI: 10.1016/j.envsoft.2025.106491

Dashe Li, Xiaodong Ji, Lu Liu

引用次数: 0

Network analysis of ground-level ozone: Implications for environmental policy and air quality management 地面臭氧的网络分析：对环境政策和空气质量管理的影响

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-05-09 DOI: 10.1016/j.envsoft.2025.106502

Harshit Gujral , Somya Jain , Adwitiya Sinha

{"title":"Network analysis of ground-level ozone: Implications for environmental policy and air quality management","authors":"Harshit Gujral , Somya Jain , Adwitiya Sinha","doi":"10.1016/j.envsoft.2025.106502","DOIUrl":"10.1016/j.envsoft.2025.106502","url":null,"abstract":"<div><div>As network science emerges as a transformative tool in the ‘Big Science’ era, this study harnesses this tool to model ground-level ozone distribution dynamics across US states under different regulatory frameworks from 1980 to 2017. The evolution of these regulations provides a unique natural experiment to analyze how network-driven models evolve amidst varied environmental policies. By constructing a network from ozone monitoring sites connected based on Pearson correlation coefficients, we analyzed the structural evolution of air quality networks. Techniques like community detection highlighted localized and temporal variations in ozone levels, influenced by meteorological and energy consumption data. Our findings reveal that geographical and regulatory factors significantly shape the network structure. This research demonstrates how network science can elucidate the complex interdependencies in environmental systems and suggests that integrating these insights could refine air quality regulations, promoting more effective management strategies in line with advanced environmental modeling needs.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"191 ","pages":"Article 106502"},"PeriodicalIF":4.8,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947033","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

Seagrass coverage estimation and depth limit analysis from unlabeled underwater videos 从未标记的水下视频海草覆盖估计和深度限制分析

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-05-05 DOI: 10.1016/j.envsoft.2025.106493

Sayantan Sengupta, Anders Stockmarr

引用次数: 0

Uncertainty quantification for LiDAR-based maps of ditches and natural streams 基于激光雷达的沟渠和自然溪流地图的不确定性量化

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-05-02 DOI: 10.1016/j.envsoft.2025.106488

Florian Westphal , William Lidberg , Mariana Dos Santos Toledo Busarello , Anneli M. Ågren

{"title":"Uncertainty quantification for LiDAR-based maps of ditches and natural streams","authors":"Florian Westphal , William Lidberg , Mariana Dos Santos Toledo Busarello , Anneli M. Ågren","doi":"10.1016/j.envsoft.2025.106488","DOIUrl":"10.1016/j.envsoft.2025.106488","url":null,"abstract":"<div><div>This article compares novel and existing uncertainty quantification approaches for semantic segmentation used in remote sensing applications. We compare the probability estimates produced by a neural network with Monte Carlo dropout-based approaches, including predictive entropy and mutual information, and conformal prediction-based approaches, including feature conformal prediction (FCP) and a novel approach based on conformal regression. The chosen task focuses on identifying ditches and natural streams based on LiDAR derived digital elevation models. We found that FCP’s uncertainty estimates aligned best with the neural network’s prediction performance, leading to the lowest Area Under the Sparsification Error curve of 0.09. For finding misclassified instances, the network probability was most suitable, requiring a correction of only 3% of the test instances to achieve a Matthews Correlation Coefficient (MCC) of 0.95. Conformal regression produced the best confident maps, which, at 90% confidence, covered 60% of the area and achieved an MCC of 0.82.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"191 ","pages":"Article 106488"},"PeriodicalIF":4.8,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927522","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

Distilling the Pareto optimal front into actionable insights 将帕累托最优前沿提炼成可操作的见解

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-05-02 DOI: 10.1016/j.envsoft.2025.106508

Sydney E. White , Felix Witing , Cordula I.H. Wittekind , Martin Volk , Michael Strauch

{"title":"Distilling the Pareto optimal front into actionable insights","authors":"Sydney E. White , Felix Witing , Cordula I.H. Wittekind , Martin Volk , Michael Strauch","doi":"10.1016/j.envsoft.2025.106508","DOIUrl":"10.1016/j.envsoft.2025.106508","url":null,"abstract":"<div><div>Multi-objective optimization (MOO) is becoming increasingly important in environmental decision making, but interpreting highly-dimensional Pareto optimal data often constitutes a cognitive overload for both scientists and stakeholders. To address this challenge, we present PyretoClustR, a modular framework for post-processing Pareto optimal solutions. This tool aims to increase accessibility and applicability of MOO results by introducing a low-lift, iterative method to reduce the Pareto front. PyretoClustR is adaptable to various environmental datasets and decision-making scenarios, automatically selecting effective parameters for principal component analysis, clustering, and outlier handling. It produces digestible visualizations of the pruned dataset for decision-makers. We demonstrate its effectiveness using MOO results from a multifunctional landscape, highlighting trade-offs between agricultural productivity, biodiversity, water quality, and ecological flow. PyretoClustR successfully reduced the Pareto front (2419 points) to 18 representative solutions with a silhouette score of 0.33 based on decision space variables, facilitating understanding of MOO for informed decision making.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"191 ","pages":"Article 106508"},"PeriodicalIF":4.8,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923035","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

Integrated hydrological modeling and analysis tool for automatic derivation of design floods in Sicilian watersheds 西西里流域设计洪水自动推导综合水文建模分析工具

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-04-30 DOI: 10.1016/j.envsoft.2025.106497

Antonio Francipane , Giuseppe Cipolla , Dario Treppiedi , Leonardo Valerio Noto

{"title":"Integrated hydrological modeling and analysis tool for automatic derivation of design floods in Sicilian watersheds","authors":"Antonio Francipane , Giuseppe Cipolla , Dario Treppiedi , Leonardo Valerio Noto","doi":"10.1016/j.envsoft.2025.106497","DOIUrl":"10.1016/j.envsoft.2025.106497","url":null,"abstract":"<div><div>This work presents a tool that enhances the hydrological flood modeling process at the event scale by integrating geospatial analysis capabilities, hydrological algorithms, and data. The main purpose is to overcome some of the main simplifications made in many modeling flood hydrographs, contributing to better simulate peak flow hydrographs for fixed return period (i.e., design flood). By leveraging geospatial analysis capabilities within a GIS framework, the tool uses spatially distributed data for a more accurate representation of basin characteristics and processes. This is particularly valuable for deriving probabilistic flood hydrographs, whose accurate predictions are essential for risk assessment and management, making the tool a valuable support in decision-making for hydrological agencies and practitioners. The tool has been tested on Sicilian catchments but given its open-source nature, modular, and flexible design, it is adaptable to different input data and geographic areas, proving a promising step forward in hydrological flood modeling.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"191 ","pages":"Article 106497"},"PeriodicalIF":4.8,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906236","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