Environmental Modelling & Software最新文献_第8页

An efficient knowledge-driven method for generating complex labels on geological maps 一种在地质图上生成复杂标签的高效知识驱动方法

IF 4.6 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-08-05 DOI: 10.1016/j.envsoft.2025.106640

Yanggang Wang , Lirong Hao , Li Li , Xuezhou He

引用次数: 0

LuKARS 3.0: a high-performance computing software to model flow and transport processes in karst aquifers LuKARS 3.0：用于模拟喀斯特含水层水流和运移过程的高性能计算软件

IF 4.6 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-08-05 DOI: 10.1016/j.envsoft.2025.106642

Beatrice Richieri , Vianney Sivelle , Andreas Hartmann , David Labat , Muhammad Muniruzzaman , Gabriele Chiogna

{"title":"LuKARS 3.0: a high-performance computing software to model flow and transport processes in karst aquifers","authors":"Beatrice Richieri , Vianney Sivelle , Andreas Hartmann , David Labat , Muhammad Muniruzzaman , Gabriele Chiogna","doi":"10.1016/j.envsoft.2025.106642","DOIUrl":"10.1016/j.envsoft.2025.106642","url":null,"abstract":"<div><div>We introduce LuKARS 3.0, an optimized and flexible version of the LuKARS semi-distributed karst simulation model, designed for improved computational efficiency in discharge and reactive transport simulations. Code optimization and a flexible model structure enabled extensive sensitivity and uncertainty analyses. We demonstrate it with three applications. First, we tested the reduction in runtime, achieving a 420-fold decrease. Second, we implemented the Morris sensitivity analysis, producing results comparable to the active subspace method. Third, we performed combined structural and parametric uncertainty analyses revealing that increasing hydrotopes does not necessarily enhance model performance. Additionally, we couple LuKARS 3.0 with IPhreeqc to implement a solute transport model based on complete mixing. Results show that discharge performance metrics alone may not fully capture solute transport dynamics, highlighting the need for a multi-objective approach. These advancements make LuKARS 3.0 a powerful tool for large-scale karst hydrology studies, with future applications aimed at integrating chemical reactions and enhancing uncertainty analyses for water resource management.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106642"},"PeriodicalIF":4.6,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809669","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

WEPP-COMPARE: A web-based decision support system for comprehensive land management and soil erosion assessment WEPP-COMPARE：一个基于网络的综合土地管理和土壤侵蚀评估决策支持系统

IF 4.6 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-08-05 DOI: 10.1016/j.envsoft.2025.106643

Haw Yen , Vijayalakshmi S. Ponnambalam , Dennis C. Flanagan , Chris S. Renschler , Anurag Srivastava , Mark R. Williams

{"title":"WEPP-COMPARE: A web-based decision support system for comprehensive land management and soil erosion assessment","authors":"Haw Yen , Vijayalakshmi S. Ponnambalam , Dennis C. Flanagan , Chris S. Renschler , Anurag Srivastava , Mark R. Williams","doi":"10.1016/j.envsoft.2025.106643","DOIUrl":"10.1016/j.envsoft.2025.106643","url":null,"abstract":"<div><div>While the Water Erosion Prediction Project (WEPP) provides a robust process-based modeling framework since 1985 by the United States Department of Agriculture (USDA), applications could be fairly challenging for those who do not possess professional training. In 2013, the USDA-Natural Resources Conservation Service (NRCS) initiated collaborations with the USDA-Agricultural Research Service (ARS), Purdue University, the University of Idaho, and Colorado State University to build an interface, dubbed WEPP-COMPARE (WEPP-Comprehensive Operation Management Practice Assessment and Rotation Engine). WEPP-COMPARE was developed to fulfill requirements as a web-based, spatial-distributed, and user-friendly decision support system that can be implemented to derive relevant and visualized soil erosion predictions for the entire United States. In addition, WEPP-COMPARE is available to the public and accessible anywhere at the county level in all 50 states and five major territories within a few minutes and doesn't require much knowledge of modeling or analytical data in advance. Wide varieties of long-term crop growth and conservation scenarios are ready to derive relevant and visualize outputs. Furthermore, a detailed list of management practices available for users to make decisions on crops to be planted to get maximum yield with corresponding soil loss map. One can take advantage of this tool and make timely preliminary comparisons before further investment of detailed investigation.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106643"},"PeriodicalIF":4.6,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809672","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

The Weather model (Indus Village): Procedural generation of daily weather for the simulation of small-scale socioecological systems 天气模式（印度河村）：模拟小规模社会生态系统的日常天气的程序生成

IF 4.6 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-08-05 DOI: 10.1016/j.envsoft.2025.106634

Andreas Angourakis , Jean-Philippe Baudouin , Cameron A. Petrie

引用次数: 0

A comparative study of synthetic turbulence inflow approaches for air pollution simulation 大气污染模拟中综合湍流入流方法的比较研究

IF 4.6 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-31 DOI: 10.1016/j.envsoft.2025.106639

Ehsan Ghane-Tehrani, Masoud Ziaei-Rad

引用次数: 0

IF 4.6 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-30 DOI: 10.1016/j.envsoft.2025.106633

Roswita Lodovika Wusu

引用次数: 0

Framework for stochastic urban flood hazard mapping using coupled and industry-standard hydrologic and hydraulic models 基于耦合和行业标准水文和水力模型的随机城市洪水灾害制图框架

IF 4.6 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-30 DOI: 10.1016/j.envsoft.2025.106632

Sayed Joinal Hossain Abedin , Bruce J. MacVicar

引用次数: 0

A flexible and efficient UNITID-based access control (UBAC) model for environmental monitoring data 一种灵活高效的基于unid的环境监测数据访问控制（UBAC）模型

IF 4.6 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-30 DOI: 10.1016/j.envsoft.2025.106638

Jinku Huang , Changxiu Cheng , Bin Li , Yang Gao , Ping Li , Jiawei Wan , Jadunandan Dash

{"title":"A flexible and efficient UNITID-based access control (UBAC) model for environmental monitoring data","authors":"Jinku Huang , Changxiu Cheng , Bin Li , Yang Gao , Ping Li , Jiawei Wan , Jadunandan Dash","doi":"10.1016/j.envsoft.2025.106638","DOIUrl":"10.1016/j.envsoft.2025.106638","url":null,"abstract":"<div><div>With the increasing deployment of equipment in field monitoring environments, managing the resulting data presents increasing challenges in terms of storage, organisation, visualisation, and role-based access control. Regulating management is crucial to ensure users can only view or interact with data relevant to their roles. This paper proposes a novel unit identification (UNITID)-based access control (UBAC) model to establish unique and precise relationships between users and data. This UBAC model enables centralised management of all data through a unified map service while supporting the dynamic extraction, organisation, and construction of virtual map services from a single data map. The UBAC model has been successfully implemented in software, and experimental results demonstrate its superiority over existing methods in terms of query simplicity and efficiency. In addition, the model proves highly effective in practical applications, with potential improvement in the efficiency and scalability of environmental monitoring data workflows.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106638"},"PeriodicalIF":4.6,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771358","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

Loop then task: Hybridizing OpenMP parallelism to improve load balancing and memory efficiency in continental-scale longest flow path computation 循环然后任务：杂交OpenMP并行性，以提高大陆规模最长流路径计算的负载平衡和内存效率

IF 4.6 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-29 DOI: 10.1016/j.envsoft.2025.106630

Huidae Cho

引用次数: 0

An assessment of spatial random forests for environmental mapping: the case of groundwater nitrate concentration 空间随机森林环境制图评价：以地下水硝酸盐浓度为例

IF 4.6 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-07-26 DOI: 10.1016/j.envsoft.2025.106626

Jonathan K. Frank , Thomas Suesse , Alexander Brenning

{"title":"An assessment of spatial random forests for environmental mapping: the case of groundwater nitrate concentration","authors":"Jonathan K. Frank , Thomas Suesse , Alexander Brenning","doi":"10.1016/j.envsoft.2025.106626","DOIUrl":"10.1016/j.envsoft.2025.106626","url":null,"abstract":"<div><div>Machine-learning models such as random forests (RF) and their spatial variants are increasingly popular in the regionalization of environmental contaminants. To date, no empirical comparison of spatial RF variants is available in this field.</div><div>The purpose of this study is to evaluate six spatial RF variants, benchmarking them against universal kriging (UK) and multiple linear regression (MLR). We empirically examine predictive performances over different prediction distances using the regionalization of nitrate concentrations in groundwater as a case study.</div><div>Differences among spatial RF variants were generally small. Over prediction distances shorter than the practical range of autocorrelation, spatial variants tended to achieve higher precisions than non-spatial RF and MLR. RF-OOB-OK that uses ordinary kriging predictions based on the out-of-bag error appeared as one of the more consistently well-performing methods.</div><div>Computationally tractable spatial RF variants can be considered viable alternatives to geostatistical regionalization methods in making spatial predictions of environmental contaminants.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106626"},"PeriodicalIF":4.6,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829020","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