Environmental Modelling & Software最新文献_第8页

Doing hydrology when no in-situ data exists: Surrogate River discharge Model (SRM)

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-01-22 DOI: 10.1016/j.envsoft.2025.106334

Hae Na Yoon , Lucy Marshall , Ashish Sharma , Seokhyeon Kim

引用次数: 0

Enhancing hydrological modeling of ungauged watersheds through machine learning and physical similarity-based regionalization of calibration parameters

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-01-22 DOI: 10.1016/j.envsoft.2025.106335

Arun Bawa , Katie Mendoza , Raghavan Srinivasan , Fearghal O'Donchha , Deron Smith , Kurt Wolfe , Rajbir Parmar , John M. Johnston , Joel Corona

{"title":"Enhancing hydrological modeling of ungauged watersheds through machine learning and physical similarity-based regionalization of calibration parameters","authors":"Arun Bawa , Katie Mendoza , Raghavan Srinivasan , Fearghal O'Donchha , Deron Smith , Kurt Wolfe , Rajbir Parmar , John M. Johnston , Joel Corona","doi":"10.1016/j.envsoft.2025.106335","DOIUrl":"10.1016/j.envsoft.2025.106335","url":null,"abstract":"<div><div>This study enhances hydrological modeling in ungauged watersheds by employing physical similarity and machine learning-based clustering for regionalizing the Soil and Water Assessment Tool (SWAT) model parameters at the HUC12 (hydrological unit code) watershed scale within a HUC02 basin. Eleven features, including environmental, topographical, soil, and hydrological properties, were utilized to identify physical similarities for watershed clustering. Machine learning techniques, including random forest and hierarchical clustering, were employed to transfer calibrated parameters from gauged to ungauged watersheds. Validation of parameter transfer over gauged SWAT model projects showed that 88% of the projects achieved calibrated status (KGE ≥0.5; PBIAS ≤25%). Additional validation using MODIS satellite evapotranspiration measurements confirmed the robustness of the approach. Results indicated that the proposed approach successfully captures physical similarities, and effectively captures flow patterns. Overall, the study highlights the potential of physical similarity-based clustering and machine learning techniques for improving hydrological modeling in ungauged watersheds.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106335"},"PeriodicalIF":4.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143077721","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

GeoAI-based drainage crossing detection for elevation-derived hydrographic mapping

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-01-21 DOI: 10.1016/j.envsoft.2025.106338

Michael Edidem , Ruopu Li , Di Wu , Banafsheh Rekabdar , Guangxing Wang

{"title":"GeoAI-based drainage crossing detection for elevation-derived hydrographic mapping","authors":"Michael Edidem , Ruopu Li , Di Wu , Banafsheh Rekabdar , Guangxing Wang","doi":"10.1016/j.envsoft.2025.106338","DOIUrl":"10.1016/j.envsoft.2025.106338","url":null,"abstract":"<div><div>The increasing availability of High-Resolution Digital Elevation Models (HRDEMs) allows accurate delineation of stream and drainage flowlines at the field scale. However, the presence of digital flow barriers like roads effectively impedes hydrological connectivity represented on the HRDEMs. Conventional methods for locating these artificial barriers such as on-screen digitization and field surveying are cost prohibitive over large geographic areas. Thus, a database of drainage crossings under roads is a crucial input for refining flowlines derived from HRDEMs. In this study, we developed advanced deep learning models for detecting the locations of drainage crossing structures in agricultural areas. Our method assesses the performance of a two-stage object detector, Faster R-CNN and a single-stage object detector, YOLOv5. The models were trained using random HRDEM tiles and ground truth labels developed for the West Fork Big Blue Watershed, Nebraska. The Faster R-CNN and YOLOv5 achieved an average F1-score of 0.78. The best-fit models in Nebraska were then transferred to three other watersheds in Illinois, North Dakota, and California. These findings show effective spatial detection of these drainage crossing features, attributed to their distinct topographic patterns. Such spatial object detection approaches offer a promising avenue for automated integration of drainage crossings into HRDEMs with minimal manual interventions, thereby enhancing the delineation of elevation-derived hydrographic features for regional applications.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106338"},"PeriodicalIF":4.8,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143049850","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 systemic approach to managing uncertainties in repetitive multibeam bathymetric surveys

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-01-18 DOI: 10.1016/j.envsoft.2025.106333

Gaétan Sauter , Stefano C. Fabbri , Corine Frischknecht , Flavio S. Anselmetti , Katrina Kremer

{"title":"A systemic approach to managing uncertainties in repetitive multibeam bathymetric surveys","authors":"Gaétan Sauter , Stefano C. Fabbri , Corine Frischknecht , Flavio S. Anselmetti , Katrina Kremer","doi":"10.1016/j.envsoft.2025.106333","DOIUrl":"10.1016/j.envsoft.2025.106333","url":null,"abstract":"<div><div>Multibeam Echo Sounder systems have enhanced the precision of modern bathymetric mapping, enabling the creation of high-resolution digital bathymetry models that characterise ocean and lake floors. However, the inferred models contain uncertainties that necessitate consideration, especially when conducting quantitative temporal comparisons. By exploring the results of two bathymetric surveys targeting a lacustrine delta, this study examines how geomorphological changes can effectively be interpreted through repetitive multi-temporal bathymetric surveys. We propose to use a workflow for Geographic Information System aiming at providing the basis for diverse studies that will implement bathymetric difference maps, also ensuring consistency. The proposed methodology incorporates the use of confidence intervals, based on the estimated uncertainties. The groundwork for interpretation relies on: (i) qualitative display using multivariate choropleth, (ii) quantitative assessment with the calculation of volumes of raw changes in cubic metres (m³), along with confidence intervals (±m³) and (iii) volumetric histograms accompanied with error bars.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106333"},"PeriodicalIF":4.8,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143049852","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

A framework for assessing the computational reproducibility of geo-simulation experiments

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-01-17 DOI: 10.1016/j.envsoft.2025.106323

Zhiyi Zhu , Min Chen , Guangjin Ren , Yuanqing He , Lingzhi Sun , Fengyuan Zhang , Yongning Wen , Songshan Yue , Guonian Lü

{"title":"A framework for assessing the computational reproducibility of geo-simulation experiments","authors":"Zhiyi Zhu , Min Chen , Guangjin Ren , Yuanqing He , Lingzhi Sun , Fengyuan Zhang , Yongning Wen , Songshan Yue , Guonian Lü","doi":"10.1016/j.envsoft.2025.106323","DOIUrl":"10.1016/j.envsoft.2025.106323","url":null,"abstract":"<div><div>Recent advances in computational technologies have enhanced geo-simulation experiments (GSEs), making computational reproducibility assessments increasingly critical. However, existing methods often focus on isolated aspects, lacking a comprehensive framework. This study proposes an integrated framework for assessing reproducibility in GSEs, structured into two parts: (1) evaluating overall computational workflows, and (2) investigating individual processes to identify inconsistencies. The framework employs a detailed assessment model using hierarchical dimensions and metrics that combine quantitative measures (e.g., output consistency) and qualitative evaluations (e.g., clarity of descriptions). These components address both broad and granular aspects of computational processes. The framework is implemented in a prototype system to support reproducibility assessments and demonstrated through practical applications. This systematic approach provides a robust and adaptable method for assessing reproducibility, promoting the resolution of challenges in existing methods.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106323"},"PeriodicalIF":4.8,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143049658","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

Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-01-16 DOI: 10.1016/j.envsoft.2025.106330

Quan Han , Ling Zhou , Wenchao Sun , Jinqiang Wang , Chi Ma

{"title":"Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework","authors":"Quan Han , Ling Zhou , Wenchao Sun , Jinqiang Wang , Chi Ma","doi":"10.1016/j.envsoft.2025.106330","DOIUrl":"10.1016/j.envsoft.2025.106330","url":null,"abstract":"<div><div>Spatial resolution of topography data significantly impacts computational time of lake hydrodynamic modelling. This study proposes a calibration tool to examine impacts of topography data resolution on simulation uncertainty, evolving from the Generalized Likelihood Uncertainty Analysis framework. Using the EFDC hydrodynamic model, BaiYangDian Lake in North China was simulated at three resolutions: 200, 500, and 1000 m. The first two models show similar accuracy, outperforming the 1000-m model. The parameter space constrained by water level observations and the simulation uncertainties in water level, water age, and velocity from 500-m model closely resembled those from 200-m model, while requiring only 16.7% of the latter's computational time, indicating a feasible spatial resolution range where model performance matches the high-resolution model but with significantly less computational time. The study highlights the importance of calibration with multiple observations and demonstrates potentials of the proposed tool to identify effects of model settings on simulation uncertainty.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106330"},"PeriodicalIF":4.8,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143049851","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

Towards a more robust implementation of the so-called “triangle” method: A new add-on to the SimSphere SVAT model

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-01-15 DOI: 10.1016/j.envsoft.2025.106329

George P. Petropoulos, Spyridon E. Detsikas, Christina Lekka

{"title":"Towards a more robust implementation of the so-called “triangle” method: A new add-on to the SimSphere SVAT model","authors":"George P. Petropoulos, Spyridon E. Detsikas, Christina Lekka","doi":"10.1016/j.envsoft.2025.106329","DOIUrl":"10.1016/j.envsoft.2025.106329","url":null,"abstract":"<div><div>The use of simulation process models combined with Earth Observation (EO) datasets provides a promising direction towards deriving accurately spatiotemporal estimates of key parameters characterising land surface interactions (LSIs). This is achieved by combining the horizontal coverage and spectral resolution of EO data with the vertical coverage and fine temporal continuity of those models. A particular promising simulation model is SimSphere, a software toolkit written in Java for simulating the interactions of soil, vegetation and atmosphere layers of the Earth's land surface. Its use is at present continually expanding worldwide both as a stand-alone application or synergistically with EO data and it is already used as an educational and as a research tool for scientific investigations. Herein, the advancements to SimSphere are presented, aiming at making its use more robust when integrated with EO data via the “triangle” method.The use of the recently introduced add-on to the SimSphere model is illustrated herein using a variety of examples that involve both satellite and UAV data. The availability of this so-called “Convolution” add-on functionality to SimSphere model is of key significance to the users' community of the “triangle” method, as between other, significantly reduces the time required for its implementation. The release of this tool is also very timely, given that variants of the “triangle” are under consideration for deriving operationally regional estimates of energy fluxes and surface soil moisture from EO data provided by non-commercial vendors.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"186 ","pages":"Article 106329"},"PeriodicalIF":4.8,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143049853","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

Cascade method for water level measurement based on computer vision 基于计算机视觉的级联水位测量方法

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-01-01 DOI: 10.1016/j.envsoft.2024.106285

Di Zhang , Jingyan Qiu

引用次数: 0

Sea surface heat flux helps predicting thermocline in the South China Sea 海表热通量有助于预测南海的温跃层

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-01-01 DOI: 10.1016/j.envsoft.2024.106271

Yanxi Pan, Miaomiao Feng, Hao Yu, Jichao Wang

引用次数: 0

QUAL2K water quality model: A comprehensive review of its applications, and limitations QUAL2K水质模型：全面回顾其应用和局限性

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2025-01-01 DOI: 10.1016/j.envsoft.2024.106284

Siti Salwa Mohamad Noor, Noor Aida Saad, Muhammad Fitri Mohd Akhir, Muhamad Syafiq Abd Rahim

{"title":"QUAL2K water quality model: A comprehensive review of its applications, and limitations","authors":"Siti Salwa Mohamad Noor, Noor Aida Saad, Muhammad Fitri Mohd Akhir, Muhamad Syafiq Abd Rahim","doi":"10.1016/j.envsoft.2024.106284","DOIUrl":"10.1016/j.envsoft.2024.106284","url":null,"abstract":"<div><div>Achieving Sustainable Development Goals (SDG 6), focused on ensuring the availability and sustainable water management, is a critical global priority. Attaining this target requires sustainable water management, balancing economic, social, and environmental needs to ensure long term water availability and quality. Water quality models help analyse, anticipate, and manage factors affecting water bodies. Among several models, QUAL2K stands out for its ability to simulate river pollution scenarios, identifying pollution sources, and evaluating the effectiveness of various mitigation strategies. While various studies cover water quality models, none comprehensively focus on QUAL2K. This paper explores the applicability of QUAL2K in analysing and managing pollutant impacts, focusing on its core principles, key features, and applications in different water bodies. The article can serve as a reference for researchers and watershed quality managers to plan the best strategies for optimizing use of the QUAL2K model for watershed water quality management.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"184 ","pages":"Article 106284"},"PeriodicalIF":4.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793156","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