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pyKasso: An open-source three-dimensional discrete karst network generator
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2025-02-12 DOI: 10.1016/j.envsoft.2025.106362
François Miville , Philippe Renard , Chloé Fandel , Marco Filipponi
{"title":"pyKasso: An open-source three-dimensional discrete karst network generator","authors":"François Miville ,&nbsp;Philippe Renard ,&nbsp;Chloé Fandel ,&nbsp;Marco Filipponi","doi":"10.1016/j.envsoft.2025.106362","DOIUrl":"10.1016/j.envsoft.2025.106362","url":null,"abstract":"<div><div>Modeling groundwater flow using physically based models requires knowing the geometry of the karst conduit network. Often, this geometry is not accessible and unknown. It is therefore crucial to be able to model it. This paper presents pyKasso, an open-source Python package that generates those geometry based on a pseudo-genetic approach. The model accounts for multiple data sources: a 3D geologic model, the position of known inlets and outlets, the statistical distribution of fractures or inception features, and known base levels. This approach simplifies previously published work by considering a 3D anisotropic fast marching algorithm. The paper presents the structure of the code and explains in detail how it can be used from the most simple 2D situation to a complex 3D case.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106362"},"PeriodicalIF":4.8,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421557","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
Parallel Princeton Ocean Model based on OpenACC
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2025-02-12 DOI: 10.1016/j.envsoft.2025.106370
Yining Wang , Bingtian Li , Wei Zhou , Yunxiu Ge
{"title":"Parallel Princeton Ocean Model based on OpenACC","authors":"Yining Wang ,&nbsp;Bingtian Li ,&nbsp;Wei Zhou ,&nbsp;Yunxiu Ge","doi":"10.1016/j.envsoft.2025.106370","DOIUrl":"10.1016/j.envsoft.2025.106370","url":null,"abstract":"<div><div>With the development of the ocean economy, accurate forecasting using ocean models has become increasingly important. Existing parallel versions of the Princeton Ocean Model (POM) often feature complex code and limited portability. To address these issues and meet the computational demands of high-resolution ocean models while reducing program runtime, we developed an OpenACC-based parallel version of POM. Our approach migrates all computational components to the GPU using OpenACC, providing better maintainability and portability. We identified parallelizable sections and used Nsight Systems to analyze bottlenecks, reducing the transfer time efficiently between CPU and GPU. We tested the model's accuracy and performance under various simulation durations and resolutions. The results show a slight reduction in accuracy, while the speedup improved significantly, ranging from 11.75 to 45.04 with increased simulation duration and resolution. This work enhances the usability and efficiency of POM, making it more suitable for ocean forecasting and advanced research applications.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"187 ","pages":"Article 106370"},"PeriodicalIF":4.8,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428811","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
URSUS_LST: URban SUStainability intelligent system for predicting the impact of urban green infrastructure on land surface temperatures
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2025-02-11 DOI: 10.1016/j.envsoft.2025.106364
Francisco Rodríguez-Gómez , José del Campo-Ávila , Luis Pérez-Urrestarazu , Domingo López-Rodríguez
{"title":"URSUS_LST: URban SUStainability intelligent system for predicting the impact of urban green infrastructure on land surface temperatures","authors":"Francisco Rodríguez-Gómez ,&nbsp;José del Campo-Ávila ,&nbsp;Luis Pérez-Urrestarazu ,&nbsp;Domingo López-Rodríguez","doi":"10.1016/j.envsoft.2025.106364","DOIUrl":"10.1016/j.envsoft.2025.106364","url":null,"abstract":"<div><div>Mitigating Urban Heat Island (UHI) effects has become a challenge to improve urban sustainability. The simulation tool URSUS_LST has been developed to allow urban planners to estimate how the addition of different green infrastructure elements would affect temperature. To achieve this, a new methodology was defined based on data mining, geospatial image processing and the knowledge of experts in the domain that predicts the Land Surface Temperature (LST) of any location within a city. It consists of a first data mining phase in which the real LST and the different urban elements of the nearby environment are considered: buildings, vegetation and water bodies. In a second phase, different regression models are induced to predict LST. Additionally, considering the most accurate models, the relevant attributes and their relationships are identified. A real application of the tool in the city of Malaga (Spain) has been used as an example of its usefulness.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106364"},"PeriodicalIF":4.8,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395431","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
Intelligent determination of proper spatial extents for input data during geographical model workflow building
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2025-02-11 DOI: 10.1016/j.envsoft.2025.106369
Zi-Yue Chen , Cheng-Zhi Qin , Liang-Jun Zhu , Cheng-Long Wu , Ying-Chao Ren , A-Xing Zhu
{"title":"Intelligent determination of proper spatial extents for input data during geographical model workflow building","authors":"Zi-Yue Chen ,&nbsp;Cheng-Zhi Qin ,&nbsp;Liang-Jun Zhu ,&nbsp;Cheng-Long Wu ,&nbsp;Ying-Chao Ren ,&nbsp;A-Xing Zhu","doi":"10.1016/j.envsoft.2025.106369","DOIUrl":"10.1016/j.envsoft.2025.106369","url":null,"abstract":"<div><div>The spatial extent required for geographical model inputs depends on the model and input data characteristics, often differing from the user-defined area of interest (AOI). For example, a DEM input for stream network extraction should cover the upstream catchment area of the AOI. Determining proper spatial extents is crucial for both modeling accuracy and efficiency but is often complex and tedious , especially for workflows which may raise chain effect on varying spatial extents among diverse inputs. Few methods currently address this issue. This paper proposes an intelligent approach to automate spatial extent determination during geographical model workflow building, adapting to the user-defined AOI. The approach combines knowledge rules and heuristic modeling with advanced geoprocessing. Implemented in a prototype system, a case study on digital soil mapping for arbitrary-shaped AOI was conducted to validate the effectiveness of the approach, showing that it provides users with easy-to-use and accurate geographical modeling across broad applications.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"187 ","pages":"Article 106369"},"PeriodicalIF":4.8,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444705","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
Texture2Par: A texture-driven tool for estimating subsurface hydraulic properties
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2025-02-11 DOI: 10.1016/j.envsoft.2025.106372
Leland Scantlebury , Vivek Bedekar , Matthew J. Tonkin , Marinko Karanovic , Thomas Harter
{"title":"Texture2Par: A texture-driven tool for estimating subsurface hydraulic properties","authors":"Leland Scantlebury ,&nbsp;Vivek Bedekar ,&nbsp;Matthew J. Tonkin ,&nbsp;Marinko Karanovic ,&nbsp;Thomas Harter","doi":"10.1016/j.envsoft.2025.106372","DOIUrl":"10.1016/j.envsoft.2025.106372","url":null,"abstract":"<div><div>Subsurface hydraulic properties, critical in the development of groundwater models, are often inferred from aquifer tests and complemented by geologic information. In alluvial aquifers in particular, well and boring logs can provide a three-dimensional distribution of the presence of coarse-grained and fine-grained sediment (texture) as an important mapping of heterogeneity often correlated with hydraulic properties. Texture2Par was developed to incorporate texture data in the estimation of aquifer parameters for groundwater models. The software aggregates and interpolates texture data to a model grid, calculates hydraulic conductivity and storage parameters, and writes input files for the MODFLOW and IWFM simulation codes. Texture2Par includes options to represent a depth-dependent decrease in hydraulic conductivity, hydrostratigraphic units representing different depositional environments, and pilot points to represent relationships between texture and aquifer properties that may vary throughout groundwater flow systems. The paper presents the underlying methods and the application of Texture2Par using synthetic and real-world examples.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"187 ","pages":"Article 106372"},"PeriodicalIF":4.8,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453055","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
Exploring a hybrid ensemble–variational data assimilation technique (4DEnVar) with a simple ecosystem carbon model
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2025-02-10 DOI: 10.1016/j.envsoft.2025.106361
Natalie Douglas, Tristan Quaife, Ross Bannister
{"title":"Exploring a hybrid ensemble–variational data assimilation technique (4DEnVar) with a simple ecosystem carbon model","authors":"Natalie Douglas,&nbsp;Tristan Quaife,&nbsp;Ross Bannister","doi":"10.1016/j.envsoft.2025.106361","DOIUrl":"10.1016/j.envsoft.2025.106361","url":null,"abstract":"<div><div>The study presented here evaluates the ability of the 4DEnVar data assimilation technique to estimate the parameters from synthetically generated observations from a simple carbon model. The method is particularly attractive in its speed and ease of use, and its avoidance in construction of adjoint or tangent linear model code. Additionally, the assimilation analysis step can be performed independently of ensemble generation; there is no need to integrate the 4DEnVar code with that of the underlying model, assuming parameters are static in time. The 4DEnVar method is capable of closely estimating the model parameters with increased certainty given that the ensemble produces a sufficient number of trajectories exhibiting behaviour seen in the observations. We find that the root mean squared error between trajectories and observations is significantly reduced when compared with the prior — in one case a 96% and 99% reduction in the biomass and soil pools respectively.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106361"},"PeriodicalIF":4.8,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388455","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
Hybrid cellular automata-based air pollution model for traffic scenario microsimulations
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2025-02-07 DOI: 10.1016/j.envsoft.2025.106356
Tabea S. Sonnenschein , Zhendong Yuan , Jibran Khan , Jules Kerckhoffs , Roel C.H. Vermeulen , Simon Scheider
{"title":"Hybrid cellular automata-based air pollution model for traffic scenario microsimulations","authors":"Tabea S. Sonnenschein ,&nbsp;Zhendong Yuan ,&nbsp;Jibran Khan ,&nbsp;Jules Kerckhoffs ,&nbsp;Roel C.H. Vermeulen ,&nbsp;Simon Scheider","doi":"10.1016/j.envsoft.2025.106356","DOIUrl":"10.1016/j.envsoft.2025.106356","url":null,"abstract":"<div><div>Scenario microsimulations like agent-based models can account for feedbacks and spatio-temporal and social heterogeneity when projecting future intervention impacts. Addressing air pollution exposure requires traffic scenario models (<em>i.e</em>. of car-free zones). Traditional air pollution models do not meet all requirements for traffic scenario microsimulation: isolating traffic emission, integrating relevant dispersion moderators, while computationally efficient, interoperable and valid. We propose a hybrid model of land use regression-based baseline concentrations and on-road emissions in conjunction with cellular automata-based off-road dispersion. The model efficiently assesses air pollution, while accounting for meteorological and morphological dispersion processes. We calibrate using genetic algorithms and externally validate the model based on mobile measurements and fixed-site routine monitoring data of NO2 concentrations across Amsterdam. Our model achieves an external validation R2 of 0.60 and 0.48 s computation time in a 50 m × 50 m raster. Further, we successfully projected the NO2 reduction of the first Covid-19 lockdown traffic scenario (R2 0.57).</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106356"},"PeriodicalIF":4.8,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377303","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
PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2025-02-07 DOI: 10.1016/j.envsoft.2025.106367
Zizheng Guo , Haojie Wang , Jun He , Da Huang , Yixiang Song , Tengfei Wang , Yuanbo Liu , Joaquin V. Ferrer
{"title":"PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment","authors":"Zizheng Guo ,&nbsp;Haojie Wang ,&nbsp;Jun He ,&nbsp;Da Huang ,&nbsp;Yixiang Song ,&nbsp;Tengfei Wang ,&nbsp;Yuanbo Liu ,&nbsp;Joaquin V. Ferrer","doi":"10.1016/j.envsoft.2025.106367","DOIUrl":"10.1016/j.envsoft.2025.106367","url":null,"abstract":"<div><div>Accurate landslide susceptibility assessments (LSA) are crucial for civil protection and land use planning. This study introduces PSLSA v2.0 as an open-source Python package that can conduct LSA automatically. It integrates six sophisticated machine learning algorithms (C5.0, SVM, LR, RF, MLP, XGBoost), and allows arbitrary combinations of influencing factors to generate landslide susceptibility index (LSI). We demonstrate how factor contribution and hyperparameter optimization as additional outputs can enhance the model interpretability. We apply PSLSA to a case study focused from Linzhi City in the Tibetan Plateau of China, that has undergone significant engineering modifications on its slopes. The results reveal that slope and aspect are the dominant factors in determining landslide susceptibility. All the six algorithms have an accuracy of over 80%. Although the distribution patterns of LSI vary, the C5.0 model is set apart with the best performance. PSLSA provides a powerful tool for stakeholders especially the non-geohazard professionals.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106367"},"PeriodicalIF":4.8,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379430","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
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2025-02-06 DOI: 10.1016/j.envsoft.2025.106357
Fransiskus Serfian Jogo , Hanum Khairana Fatmah , Aufaclav Zatu Kusuma Frisky
{"title":"","authors":"Fransiskus Serfian Jogo ,&nbsp;Hanum Khairana Fatmah ,&nbsp;Aufaclav Zatu Kusuma Frisky","doi":"10.1016/j.envsoft.2025.106357","DOIUrl":"10.1016/j.envsoft.2025.106357","url":null,"abstract":"","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106357"},"PeriodicalIF":4.8,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377304","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
Development of an advanced numerical simulation program considering debris flow and driftwood behavior
IF 4.8 2区 环境科学与生态学
Environmental Modelling & Software Pub Date : 2025-02-06 DOI: 10.1016/j.envsoft.2025.106366
T. Kang , S. Lee , H. An , M. Kim , I. Kimura
{"title":"Development of an advanced numerical simulation program considering debris flow and driftwood behavior","authors":"T. Kang ,&nbsp;S. Lee ,&nbsp;H. An ,&nbsp;M. Kim ,&nbsp;I. Kimura","doi":"10.1016/j.envsoft.2025.106366","DOIUrl":"10.1016/j.envsoft.2025.106366","url":null,"abstract":"<div><div>This study introduces Deb2D, an advanced predictive model that combines Eulerian flow dynamics with Lagrangian driftwood movement to accurately simulate debris flows. It enhances the existing Deb2D framework (An et al., 2019) by integrating a driftwood dynamics module rewritten in C++ (Kang et al., 2020) and a user-friendly Graphical User Interface developed with QtCreator for setup and visualization of simulations. This improvement enables precise two-way interactions between driftwood and debris flows, ensuring detailed visualization of their dynamics. When applied to the 2011 Mt. Umyeon debris flow in South Korea, the model demonstrated high accuracy in replicating observed phenomena. Future developments will focus on adapting this model into a QGIS plugin to broaden its applicability and user base.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106366"},"PeriodicalIF":4.8,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395430","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
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