Environmental Modelling & Software最新文献_第4页

Let decision-makers direct the search for robust solutions: An interactive framework for multiobjective robust optimization under deep uncertainty 让决策者指导寻找稳健的解决方案：深度不确定性下多目标稳健优化的互动框架

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2024-10-02 DOI: 10.1016/j.envsoft.2024.106233

Babooshka Shavazipour , Jan H. Kwakkel , Kaisa Miettinen

{"title":"Let decision-makers direct the search for robust solutions: An interactive framework for multiobjective robust optimization under deep uncertainty","authors":"Babooshka Shavazipour , Jan H. Kwakkel , Kaisa Miettinen","doi":"10.1016/j.envsoft.2024.106233","DOIUrl":"10.1016/j.envsoft.2024.106233","url":null,"abstract":"<div><div>The robust decision-making framework (RDM) has been extended to consider multiple objective functions and scenarios. However, the practical applications of these extensions are mostly limited to academic case studies. The main reasons are: (i) substantial cognitive load in tracking all the trade-offs across scenarios and the interplay between uncertainties and trade-offs, (ii) lack of decision-makers’ involvement in solution generation and confidence. To address these problems, this study proposes a novel interactive framework involving decision-makers in searching for the most preferred robust solutions utilizing interactive multiobjective optimization methods. The proposed interactive framework provides a learning phase for decision-makers to discover the problem characteristics, the feasibility of their preferences, and how uncertainty may affect the outcomes of a decision. This involvement and learning allow them to control and direct the multiobjective search during the solution generation process, boosting their confidence and assurance in implementing the identified robust solutions in practice.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"183 ","pages":"Article 106233"},"PeriodicalIF":4.8,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427014","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

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2024-10-01 DOI: 10.1016/j.envsoft.2024.106224

Jonathan de Santo, Ruth Ade Putri

引用次数: 0

Do LSTM memory states reflect the relationships in reduced-complexity sandy shoreline models LSTM 记忆状态是否反映了复杂度降低的沙质海岸线模型中的关系

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2024-09-30 DOI: 10.1016/j.envsoft.2024.106236

Kit Calcraft , Kristen D. Splinter , Joshua A. Simmons , Lucy A. Marshall

{"title":"Do LSTM memory states reflect the relationships in reduced-complexity sandy shoreline models","authors":"Kit Calcraft , Kristen D. Splinter , Joshua A. Simmons , Lucy A. Marshall","doi":"10.1016/j.envsoft.2024.106236","DOIUrl":"10.1016/j.envsoft.2024.106236","url":null,"abstract":"<div><div>Equilibrium-based models are a transparent method of modelling shoreline change, though often too simplistic to capture complex dynamics. Conversely, deep learning methodologies offer greater predictive power at the expense of transparency. In this research we scrutinize the internal workings of an LSTM shoreline model. A regression-based probe is used to show that cell state vectors, responsible for past-to-future information flow, autonomously generate equilibrium-like information akin to the physics-based equilibrium term of the ShoreFor model, <span><math><mrow><msub><mi>Ω</mi><mrow><mi>e</mi><mi>q</mi></mrow></msub></mrow></math></span>. The variation in probe skill throughout training is tracked to show that at 5 of 6 transects, the LSTM was able to meaningfully acquire equilibrium information (<em>ΣΔR</em><sup><em>2</em></sup> = 0.3–0.6). The results of this work offer evidence that an LSTM may model shoreline change with internal methods that are consistent with the current understanding of coastal shoreline dynamics. These physically meaningful representations emphasize the importance of co-evolution between machine learning and physics-based approaches moving forward.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"183 ","pages":"Article 106236"},"PeriodicalIF":4.8,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427013","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

Modelling and validating soil carbon dynamics at the long-term plot scale using the rCTOOL R package 利用 rCTOOL R 软件包建立和验证长期地块尺度的土壤碳动态模型

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2024-09-27 DOI: 10.1016/j.envsoft.2024.106229

Franca Giannini-Kurina , João Serra , Bent Tolstrup Christensen , Jørgen Eriksen , Nicholas John Hutchings , Jørgen Eivind Olesen , Johannes Lund Jensen

{"title":"Modelling and validating soil carbon dynamics at the long-term plot scale using the rCTOOL R package","authors":"Franca Giannini-Kurina , João Serra , Bent Tolstrup Christensen , Jørgen Eriksen , Nicholas John Hutchings , Jørgen Eivind Olesen , Johannes Lund Jensen","doi":"10.1016/j.envsoft.2024.106229","DOIUrl":"10.1016/j.envsoft.2024.106229","url":null,"abstract":"<div><div>We introduce <em>rCTOOL,</em> an open-source R package for carbon (C) turnover modelling, featuring comprehensive documentation and a user-friendly interface. As an enhanced version of the widely used Danish C-TOOL model, <em>rCTOOL</em> maintains minimal input data requirements and reliable performance, while addressing the original model's limitations in openness and documentation. To validate <em>rCTOOL</em>, we analysed topsoil Soil Organic Carbon (SOC) dynamics using data from the long-term Askov straw disposal experiment (1981–2019), which quantifies the impact of varying annual straw C inputs on SOC storage. Our validation shows an unbiased global prediction error of less than 10%, with a mean error of 1.1 Mg C/ha (CI -0.7–3.0 Mg C/ha). The discrepancies between observed and predicted values were primarily due to spatiotemporal variability represented by the block and year in the long-term field experiment. We demonstrate how <em>rCTOOL</em> is a reliable asset for diverse applications in SOC management and research.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"183 ","pages":"Article 106229"},"PeriodicalIF":4.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427141","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

Using national hydrologic models to obtain regional climate change impacts on streamflow basins with unrepresented processes 利用国家水文模型获取区域气候变化对未体现过程的河川流域的影响

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2024-09-27 DOI: 10.1016/j.envsoft.2024.106234

Patience Bosompemaa , Andrea Brookfield , Sam Zipper , Mary C. Hill

{"title":"Using national hydrologic models to obtain regional climate change impacts on streamflow basins with unrepresented processes","authors":"Patience Bosompemaa , Andrea Brookfield , Sam Zipper , Mary C. Hill","doi":"10.1016/j.envsoft.2024.106234","DOIUrl":"10.1016/j.envsoft.2024.106234","url":null,"abstract":"<div><div>Climate change is increasingly impacting water availability. National-scale hydrologic models simulate streamflow resulting from many important processes, but often without processes such as human water use and management activities. This work explores and tests methods to account for such omitted processes using one national-scale hydrologic model. Two bias correction methods, Flow Duration Curve (FDC) and Auto-Regressive Integrated Moving Average (ARIMA), are tested on streamflow simulated by the US Geological Survey National Hydrologic Model (NHM-PRMS), which omits irrigation pumping. A semi-arid agricultural case study is used. FDC and ARIMA perform better for correcting low and high flows, respectively. A hybrid method performs well at both low and high flows; typical Nash-Sutcliffe values increased from <-1.00 to about 0.75. Results suggest methods with which national-scale hydrologic models can be bias-corrected for omitted processes to improve regional streamflow estimates. Utility of these correction methods in simulation of future projections is discussed.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"183 ","pages":"Article 106234"},"PeriodicalIF":4.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427142","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

Historical simulation performance evaluation and monthly flow duration curve quantile-mapping (MFDC-QM) of the GEOGLOWS ECMWF streamflow hydrologic model GEOGLOWS ECMWF 溪流水文模型的历史模拟性能评估和月流量持续时间曲线量化绘图 (MFDC-QM)

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2024-09-27 DOI: 10.1016/j.envsoft.2024.106235

J.L. Sanchez Lozano , D.J. Rojas Lesmes , E.G. Romero Bustamante , R.C. Hales , E.J. Nelson , G.P. Williams , D.P. Ames , N.L. Jones , A.L. Gutierrez , C. Cardona Almeida

{"title":"Historical simulation performance evaluation and monthly flow duration curve quantile-mapping (MFDC-QM) of the GEOGLOWS ECMWF streamflow hydrologic model","authors":"J.L. Sanchez Lozano , D.J. Rojas Lesmes , E.G. Romero Bustamante , R.C. Hales , E.J. Nelson , G.P. Williams , D.P. Ames , N.L. Jones , A.L. Gutierrez , C. Cardona Almeida","doi":"10.1016/j.envsoft.2024.106235","DOIUrl":"10.1016/j.envsoft.2024.106235","url":null,"abstract":"<div><div>Global hydrological models are essential for managing water resources and predicting hydrological events. However, the local-scale usability of global models challenges big-data management, communication, adoption, and validation. Validation is the biggest challenge bercause of the need for large-scale data management and model calibration, which requires extensive and often inaccessible observed data. This study assesses the GEOGLOWS-ECMWF Global Hydrologic Model, revealing systematic biases that impact its accuracy. We propose a bias-correction methodology using flow duration curves to align non-exceedance probabilities of simulated and observed streamflow, significantly improving the GEOGLOWS model. Unfortunately, this approach does not inherently improve simulations in ungauged locations. The methodology not only enhances the GEOGLOWS model's accuracy but also stands as a versatile solution applicable across various hydrological models. This bias correction approach provides a tool for improving hydrological predictions and gives users the confidence to use global models for local water resource management and decision-making processes.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"183 ","pages":"Article 106235"},"PeriodicalIF":4.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427140","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

Evaluation of the SpatioTemporal Asset Catalog for management and discovery of FAIR flood hazard models 评估用于管理和发现 FAIR 洪水灾害模型的时空资产目录

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2024-09-26 DOI: 10.1016/j.envsoft.2024.106230

Seth Lawler , Thomas Williams , William Lehman , Christina Lindemer , David Rosa , Celso Ferreira , Chen Zhang

{"title":"Evaluation of the SpatioTemporal Asset Catalog for management and discovery of FAIR flood hazard models","authors":"Seth Lawler , Thomas Williams , William Lehman , Christina Lindemer , David Rosa , Celso Ferreira , Chen Zhang","doi":"10.1016/j.envsoft.2024.106230","DOIUrl":"10.1016/j.envsoft.2024.106230","url":null,"abstract":"<div><div>Approaches for performing flood hazards modeling and risk assessment at federal, state, and local agencies are undergoing emergent challenge for consistent metadata and cataloging systems to ensure the sharing of flood risk data in a Findable, Accessible, Interoperable, and Reusable (FAIR) manner. This paper explores the suitability of a suite of software and specifications developed by the Earth observation community for environmental modeling, which adhere to the FAIR principles not only for managing published or authoritative data but throughout the model development and flood hazard analysis phases. Specifically, we evaluate the SpatioTemporal Asset Catalog (STAC) in a pilot study undertaken as part of the Future of Flood Risk Data (FFRD) initiative of FEMA. The experimental results indicate the STAC ecosystem offers a flexible cloud native approach for linking data, managing metadata, and cataloging collections of models. Further, the STAC framework shows favorable results in a probabilistic and other use cases.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"183 ","pages":"Article 106230"},"PeriodicalIF":4.8,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427012","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

CataEx: A multi-task export tool for the Google Earth Engine data catalog CataEx：谷歌地球引擎数据目录的多任务导出工具

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2024-09-26 DOI: 10.1016/j.envsoft.2024.106227

Gisela Domej , Kacper Pluta , Marek Ewertowski

{"title":"CataEx: A multi-task export tool for the Google Earth Engine data catalog","authors":"Gisela Domej , Kacper Pluta , Marek Ewertowski","doi":"10.1016/j.envsoft.2024.106227","DOIUrl":"10.1016/j.envsoft.2024.106227","url":null,"abstract":"<div><div>Satellite imagery is provided by different missions such as ASTER, MODIS, Sentinel, Landsat, IKONOS, GeoEye, SPOT, WorldView, Pléaides, or RapidEye. One of the major encumbrances is the digital volume that satellite imagery claims during download, storage, and processing. This inconvenience has been overcome since 2010 by the Google Earth Engine, a cloud-based platform for global geospatial analysis dedicated to users who are not necessarily remote sensing specialists.</div><div>However, compatibility with traditional desktop or web-based GIS software remains tricky as bringing satellite imagery from the Google Earth Engine to another software requires a coded export via JavaScript or Python.</div><div>We present the multi-functional code tool CataEx in JavaScript to exemplify several essential types of computations (i.e., filtering of image collections, cloud masking, index and histogram generation, and layer creation) before exporting images as GeoTIFFs. CataEx is kept deliberately simple without much \"sophisticated\" code language to allow JavaScript beginners to get familiar with basic coding concepts and develop their own scripts.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"183 ","pages":"Article 106227"},"PeriodicalIF":4.8,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427011","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 web-based tool for watershed delineation considering lakes and reservoirs 基于网络的湖泊和水库流域划分工具

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2024-09-26 DOI: 10.1016/j.envsoft.2024.106232

Beichen Zhang , Junzhi Liu , Bin Zhang , Dawei Xiao , Min Chen

引用次数: 0

Development of an inclusive, scalable, and flexible hydrologic modeling system: Establishing integrated flood simulation system at agricultural watersheds 开发具有包容性、可扩展性和灵活性的水文建模系统：建立农业流域综合洪水模拟系统

IF 4.8 2区环境科学与生态学

Environmental Modelling & Software Pub Date : 2024-09-24 DOI: 10.1016/j.envsoft.2024.106225

Jihye Kwak , Junhyuk Lee , Jihye Kim , Hyunji Lee , Seokhyeon Kim , Sinae Kim , Moon Seong Kang

{"title":"Development of an inclusive, scalable, and flexible hydrologic modeling system: Establishing integrated flood simulation system at agricultural watersheds","authors":"Jihye Kwak , Junhyuk Lee , Jihye Kim , Hyunji Lee , Seokhyeon Kim , Sinae Kim , Moon Seong Kang","doi":"10.1016/j.envsoft.2024.106225","DOIUrl":"10.1016/j.envsoft.2024.106225","url":null,"abstract":"<div><div>In this study, we developed a comprehensive hydrological modeling system to address the diverse needs of hydrologists and researchers. The system comprised nine modules, each serving a specific purpose. These modules include a multiplicative random cascade model, frequency analysis, inflow simulation, Hydrologic Engineering Center – 5, Hydrologic Engineering Center – River Analysis System, and farmland drainage simulations. The system follows a structured sequence within a large framework, beginning with user inputs for the initial condition information and period specifications for frequency analysis. It then calculates the time-disaggregated precipitation data utilizing the Dask distributed server for efficient computation. Subsequent module computations were conducted on dedicated mask workers. The Integrated Database serves as a comprehensive repository for simulation studies, encompassing historical precipitation data, shared socioeconomic pathways, climate change scenario data, and reservoir and farmland survey data. This system has been used in several studies and has provided cohesive and reliable results for flood simulations.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"183 ","pages":"Article 106225"},"PeriodicalIF":4.8,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358538","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