Pub Date : 2025-01-14DOI: 10.1016/j.envsoft.2025.106328
Sümeyye Kaynak, Baran Kaynak, Carlos Erazo Ramirez, Ibrahim Demir
The development of web technologies and their integration into various fields has allowed a new era in data-driven decision-making and public data accessibility, especially through their adoption of monitoring and quantification environmental resources provided by governmental institutions. The use of web technologies has made it possible to create applications that can be accessed and used by a wide user base. However, dealing with the complexity of environmental data and non-standard data formats remains a hindering issue. To overcome these challenges and obtain up-to-date information from different institutions, we present Geo-WC: a web component framework specifically designed for earth and environmental sciences, serving as a bridge across various scientific domains. The Geo-WC utilizes a developer-friendly approach through simple HTML declarative syntax to bring together data in a single interface that is easy for developers to work with, making it accessible to users of varying skill levels. The framework integrates widely used web technologies, facilitating client-side data analysis, visualization, and accessibility within web browsers.
{"title":"Geo-WC: Custom web components for earth science organizations and agencies","authors":"Sümeyye Kaynak, Baran Kaynak, Carlos Erazo Ramirez, Ibrahim Demir","doi":"10.1016/j.envsoft.2025.106328","DOIUrl":"https://doi.org/10.1016/j.envsoft.2025.106328","url":null,"abstract":"The development of web technologies and their integration into various fields has allowed a new era in data-driven decision-making and public data accessibility, especially through their adoption of monitoring and quantification environmental resources provided by governmental institutions. The use of web technologies has made it possible to create applications that can be accessed and used by a wide user base. However, dealing with the complexity of environmental data and non-standard data formats remains a hindering issue. To overcome these challenges and obtain up-to-date information from different institutions, we present Geo-WC: a web component framework specifically designed for earth and environmental sciences, serving as a bridge across various scientific domains. The Geo-WC utilizes a developer-friendly approach through simple HTML declarative syntax to bring together data in a single interface that is easy for developers to work with, making it accessible to users of varying skill levels. The framework integrates widely used web technologies, facilitating client-side data analysis, visualization, and accessibility within web browsers.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"49 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990594","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}
Pub Date : 2025-01-13DOI: 10.1016/j.envsoft.2025.106327
Mia M. Wu, Yu Liang, Hong S. He, Jian Yang, Bo Liu, Tianxiao Ma
Forest landscape models (FLMs) simulate forest dynamics by integrating stand- and landscape-scale processes. Thus, evaluating FLMs simulations necessitates including both processes. Thus far, stand-scale processes were evaluated in some FLMs, whereas landscape-scale processes were rarely evaluated. This study presents a framework that evaluates both stand- and landscape-scale processes. For the stand-scale processes, we proposed using stand density management diagrams to evaluate the simulated stand development trajectories that encapsulate the interplay of tree growth, competition, and mortality. For the landscape-scale processes, we evaluated seed dispersal, the basic spatial process driving forest landscape dynamics and not evaluated previously, through comparing simulated tree species colonization pattern against tree age distribution data from inventory data. We demonstrated the applicability of the framework to a 300-year historical forest landscape reconstructed using LANDIS. Given the common features, the framework is applicable to other FLMs or terrestrial ecosystem models operating at large scales.
{"title":"A process-based framework for validating forest landscape modeling outcomes","authors":"Mia M. Wu, Yu Liang, Hong S. He, Jian Yang, Bo Liu, Tianxiao Ma","doi":"10.1016/j.envsoft.2025.106327","DOIUrl":"https://doi.org/10.1016/j.envsoft.2025.106327","url":null,"abstract":"Forest landscape models (FLMs) simulate forest dynamics by integrating stand- and landscape-scale processes. Thus, evaluating FLMs simulations necessitates including both processes. Thus far, stand-scale processes were evaluated in some FLMs, whereas landscape-scale processes were rarely evaluated. This study presents a framework that evaluates both stand- and landscape-scale processes. For the stand-scale processes, we proposed using stand density management diagrams to evaluate the simulated stand development trajectories that encapsulate the interplay of tree growth, competition, and mortality. For the landscape-scale processes, we evaluated seed dispersal, the basic spatial process driving forest landscape dynamics and not evaluated previously, through comparing simulated tree species colonization pattern against tree age distribution data from inventory data. We demonstrated the applicability of the framework to a 300-year historical forest landscape reconstructed using LANDIS. Given the common features, the framework is applicable to other FLMs or terrestrial ecosystem models operating at large scales.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"24 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990596","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}
Pub Date : 2025-01-10DOI: 10.1016/j.envsoft.2025.106325
Nur Haznirah Hazman, Rohaizaazira Mohd Zawawi, Ainin Sofia Jusoh, Muhammad Akmal Remli, Marieanne Christie Leong, Mohd Saberi Mohamad, Sarahani Harun
The polar regions hold immense ecological and historical significance, offering insights into biomarker identification, climate history, and natural antifreeze proteins. However, global climate change and scattered datasets threaten effective research in these areas. To address these challenges, we developed PolarBytes, a centralized platform for polar research, focusing on biodiversity, climatology, diseases, and molecular biology. PolarBytes streamlines data access, analysis, and visualization through an intuitive interface and advanced machine learning tools. Its robust API system, including RESTful and Swagger interfaces, eliminates manual downloads, supports automation, and enhances research efficiency. By centralizing data from isolated repositories, PolarBytes simplifies data retrieval and fosters collaboration, enabling researchers to focus on scientific exploration rather than technical hurdles. This user-friendly platform empowers the scientific community to uncover new insights and drive innovation in understanding polar ecosystems and their global impact.
{"title":"PolarBytes: Advancing polar research with a centralized open-source data sharing platform","authors":"Nur Haznirah Hazman, Rohaizaazira Mohd Zawawi, Ainin Sofia Jusoh, Muhammad Akmal Remli, Marieanne Christie Leong, Mohd Saberi Mohamad, Sarahani Harun","doi":"10.1016/j.envsoft.2025.106325","DOIUrl":"https://doi.org/10.1016/j.envsoft.2025.106325","url":null,"abstract":"The polar regions hold immense ecological and historical significance, offering insights into biomarker identification, climate history, and natural antifreeze proteins. However, global climate change and scattered datasets threaten effective research in these areas. To address these challenges, we developed PolarBytes, a centralized platform for polar research, focusing on biodiversity, climatology, diseases, and molecular biology. PolarBytes streamlines data access, analysis, and visualization through an intuitive interface and advanced machine learning tools. Its robust API system, including RESTful and Swagger interfaces, eliminates manual downloads, supports automation, and enhances research efficiency. By centralizing data from isolated repositories, PolarBytes simplifies data retrieval and fosters collaboration, enabling researchers to focus on scientific exploration rather than technical hurdles. This user-friendly platform empowers the scientific community to uncover new insights and drive innovation in understanding polar ecosystems and their global impact.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"118 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143020246","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}
Pub Date : 2025-01-10DOI: 10.1016/j.envsoft.2025.106326
Zeynep Özcan, Merih Aydınalp Köksal, Emre Alp
The synergies and conflicts between the energy and water systems, necessitate the collaboration between these sectors. Effective management of the interdependent energy and water systems requires a nexus approach that acknowledges these interconnections, as opposed to regarding them as distinct systems. We applied an integrated modeling approach for evaluating the Water-Energy Nexus based on a variety of criteria as water consumption, energy production, and CO2 emissions. According to the simulations, 96% reduction in water savings can be achieved when wet cooling systems of the thermal power plant (TPP) are converted to dry. Moreover, if the TPPs are shut down to reduce CO2 emissions, the hydroelectric power plants can only cover 16% of the total electricity production. Hence, securing energy while reducing CO2 emissions is a challenging task. Despite producing only 10–15% of total energy, HPPs account for 70–100% of total water consumption in all scenarios.
{"title":"An integrated modeling approach to assess water-energy nexus in a semi-arid watershed","authors":"Zeynep Özcan, Merih Aydınalp Köksal, Emre Alp","doi":"10.1016/j.envsoft.2025.106326","DOIUrl":"https://doi.org/10.1016/j.envsoft.2025.106326","url":null,"abstract":"The synergies and conflicts between the energy and water systems, necessitate the collaboration between these sectors. Effective management of the interdependent energy and water systems requires a nexus approach that acknowledges these interconnections, as opposed to regarding them as distinct systems. We applied an integrated modeling approach for evaluating the Water-Energy Nexus based on a variety of criteria as water consumption, energy production, and CO<ce:inf loc=\"post\">2</ce:inf> emissions. According to the simulations, 96% reduction in water savings can be achieved when wet cooling systems of the thermal power plant (TPP) are converted to dry. Moreover, if the TPPs are shut down to reduce CO<ce:inf loc=\"post\">2</ce:inf> emissions, the hydroelectric power plants can only cover 16% of the total electricity production. Hence, securing energy while reducing CO<ce:inf loc=\"post\">2</ce:inf> emissions is a challenging task. Despite producing only 10–15% of total energy, HPPs account for 70–100% of total water consumption in all scenarios.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"28 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142975673","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}
Evapotranspiration (ET) is crucial for urban runoff management, the cooling efficiency of green stormwater infrastructure (GSI), and vegetation resilience. This research investigates the ability of a commonly used hydrological ET scheme, implemented in HYDRUS-1D, to accurately replicate ET fluxes within GSI, including green roofs (GRs) and rain gardens (RGs), in the Paris region, France. Application of the Sobol sensitivity analysis method indicates that, vegetation height and stomatal resistance are key elements in Penman-Monteith potential ET calculations, while substrate water retention parameters are essential for actual ET simulations. Soil cover fraction, substrate pressure head during the anaerobic phase, and interception parameter also influence ET. Calibration using extensive datasets (water content, ET, drainage) demonstrates improved model accuracy for GRs with thicker substrates compared to those with thinner substrates and for RG setups. Drainage calibration ensures long-term ET simulation accuracy, while calibration with water content or ET observations is recommended during prolonged dry periods.
{"title":"Modelling evapotranspiration in urban green stormwater infrastructures: Importance of sensitivity analysis and calibration strategies with a hydrological model","authors":"Ahmeda Assann Ouédraogo, Emmanuel Berthier, Jérémie Sage, Marie-Christine Gromaire","doi":"10.1016/j.envsoft.2025.106319","DOIUrl":"https://doi.org/10.1016/j.envsoft.2025.106319","url":null,"abstract":"Evapotranspiration (ET) is crucial for urban runoff management, the cooling efficiency of green stormwater infrastructure (GSI), and vegetation resilience. This research investigates the ability of a commonly used hydrological ET scheme, implemented in HYDRUS-1D, to accurately replicate ET fluxes within GSI, including green roofs (GRs) and rain gardens (RGs), in the Paris region, France. Application of the Sobol sensitivity analysis method indicates that, vegetation height and stomatal resistance are key elements in Penman-Monteith potential ET calculations, while substrate water retention parameters are essential for actual ET simulations. Soil cover fraction, substrate pressure head during the anaerobic phase, and interception parameter also influence ET. Calibration using extensive datasets (water content, ET, drainage) demonstrates improved model accuracy for GRs with thicker substrates compared to those with thinner substrates and for RG setups. Drainage calibration ensures long-term ET simulation accuracy, while calibration with water content or ET observations is recommended during prolonged dry periods.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"29 4 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142975686","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}
Pub Date : 2025-01-07DOI: 10.1016/j.envsoft.2025.106318
Yifan Gao, Changqing Song, Zhifeng Liu, Sijing Ye, Peichao Gao
Land is multifunctional. Among all land change models, the only model capable of modeling multifunctional land changes is the CLUMondo model. However, the CLUMondo model is ineffective and inefficient. In the study, we addressed the problems by improving the CLUMondo model through four strategies, resulting in the improved version named “Land-N2N”. To evaluate the Land-N2N model, we designed six comparative experiments. In these experiments, we established the land systems using an upscaling approach based on Globeland30 data. Our finding shows that the effectiveness and efficiency of the Land-N2N model are better than the CLUMondo model. Specifically, the effectiveness of the Land-N2N model improved by 36% when measured with Kappa and by 377% when measured with Figure of Merit (FoM). Additionally, the efficiency of the Land-N2N model increased by 80%. The utility of the Land-N2N model lies in its ability to offer scientific solutions for land management by forecasting land changes.
{"title":"Land-N2N: An effective and efficient model for simulating the demand-driven changes in multifunctional lands","authors":"Yifan Gao, Changqing Song, Zhifeng Liu, Sijing Ye, Peichao Gao","doi":"10.1016/j.envsoft.2025.106318","DOIUrl":"https://doi.org/10.1016/j.envsoft.2025.106318","url":null,"abstract":"Land is multifunctional. Among all land change models, the only model capable of modeling multifunctional land changes is the CLUMondo model. However, the CLUMondo model is ineffective and inefficient. In the study, we addressed the problems by improving the CLUMondo model through four strategies, resulting in the improved version named “Land-N2N”. To evaluate the Land-N2N model, we designed six comparative experiments. In these experiments, we established the land systems using an upscaling approach based on Globeland30 data. Our finding shows that the effectiveness and efficiency of the Land-N2N model are better than the CLUMondo model. Specifically, the effectiveness of the Land-N2N model improved by 36% when measured with Kappa and by 377% when measured with Figure of Merit (FoM). Additionally, the efficiency of the Land-N2N model increased by 80%. The utility of the Land-N2N model lies in its ability to offer scientific solutions for land management by forecasting land changes.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"9 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990586","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}
Flooding is the most frequent natural disaster globally, resulting in the highest economic losses. Efficient resource retrieval is crucial for improving flood response. Constructing a knowledge graph aids in the precise discovery of flood observation resources. However, current research faces issues: phased flood process observation is neglected, and effective correlation among disaster elements, such as tasks, data, methods, and sensors, is lacking. To address this, we construct the Ontology for Flood Process Observation (OFPO) and develop the Knowledge Graph for Flood Process Observation (KGFPO), providing integrated management and decision-making support. These are validated using the “7–20 Henan Extremely Heavy Rainfall” and “7-21 Xinxiang Extremely Heavy Rainfall” cases. OFPO and KGFPO achieve integrated management of flood observation resources, improve retrieval efficiency and accuracy, facilitate decision-making, and support other natural disasters.
{"title":"OFPO & KGFPO: Ontology and knowledge graph for flood process observation","authors":"Wenying Du, Chang Liu, Qingyun Xia, Mengtian Wen, Ying Hu, Zeqiang Chen, Lei Xu, Xiang Zhang, Berhanu Keno Terfa, Nengcheng Chen","doi":"10.1016/j.envsoft.2025.106317","DOIUrl":"https://doi.org/10.1016/j.envsoft.2025.106317","url":null,"abstract":"Flooding is the most frequent natural disaster globally, resulting in the highest economic losses. Efficient resource retrieval is crucial for improving flood response. Constructing a knowledge graph aids in the precise discovery of flood observation resources. However, current research faces issues: phased flood process observation is neglected, and effective correlation among disaster elements, such as tasks, data, methods, and sensors, is lacking. To address this, we construct the Ontology for Flood Process Observation (OFPO) and develop the Knowledge Graph for Flood Process Observation (KGFPO), providing integrated management and decision-making support. These are validated using the “7–20 Henan Extremely Heavy Rainfall” and “7-21 Xinxiang Extremely Heavy Rainfall” cases. OFPO and KGFPO achieve integrated management of flood observation resources, improve retrieval efficiency and accuracy, facilitate decision-making, and support other natural disasters.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"18 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142935455","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}
Pub Date : 2025-01-03DOI: 10.1016/j.envsoft.2024.106315
Bart Degraeuwe, Robin Houdmeyers, Stijn Janssen, Wouter Lefebvre, Athanasios Megaritis
To mitigate air pollution, source apportionment is a key element for the design of effective measures. However, source apportionment often involves complex model chains only accessible to expert users. In this paper we present a new web-application, the Concawe NO2 source apportionment viewer. It allows experts and non-expert users to evaluate the contributions of different sectors and the impact of measures in the road transport sector on current and future NO2 pollution in the EU27+UK in a fast and user-friendly way. The methodology behind the viewer was described in a previous paper byDegraeuwe et al. (2024). Here we describe the user interface and give some examples; the contribution of different sectors to the NO2 concentrations in the 3136 monitoring stations, and the impact of specific transport policies (e.g., Euro 7/VII standard, urban access regulations) on the NO2 concentrations in 948 European cities.
{"title":"The Concawe NO2 source apportionment viewer: A web-application to mitigate NO2 pollution from traffic and other sources","authors":"Bart Degraeuwe, Robin Houdmeyers, Stijn Janssen, Wouter Lefebvre, Athanasios Megaritis","doi":"10.1016/j.envsoft.2024.106315","DOIUrl":"https://doi.org/10.1016/j.envsoft.2024.106315","url":null,"abstract":"To mitigate air pollution, source apportionment is a key element for the design of effective measures. However, source apportionment often involves complex model chains only accessible to expert users. In this paper we present a new web-application, the Concawe NO<ce:inf loc=\"post\">2</ce:inf> source apportionment viewer. It allows experts and non-expert users to evaluate the contributions of different sectors and the impact of measures in the road transport sector on current and future NO<ce:inf loc=\"post\">2</ce:inf> pollution in the EU27+UK in a fast and user-friendly way. The methodology behind the viewer was described in a previous paper byDegraeuwe et al. (2024). Here we describe the user interface and give some examples; the contribution of different sectors to the NO<ce:inf loc=\"post\">2</ce:inf> concentrations in the 3136 monitoring stations, and the impact of specific transport policies (e.g., Euro 7/VII standard, urban access regulations) on the NO<ce:inf loc=\"post\">2</ce:inf> concentrations in 948 European cities.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"5 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142935447","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}
Pub Date : 2025-01-02DOI: 10.1016/j.envsoft.2024.106308
Amber Spackman Jones, Jeffery S. Horsburgh
Hydrologic Information Systems (HIS) integrate hardware and software to support collection, management, and sharing of hydrologic observations data. Successful HIS facilitate hydrologic monitoring, scientific investigation, watershed management, and communication of hydrologic conditions. Furthermore, HIS support the day-to-day data operations that are essential to organizations that monitor hydrologic systems. As an introductory overview of HIS, this paper reviews the history of HIS development and identifies and describes key components. Based on past HIS literature, patterns emerged for universal and generic HIS functionality and components. The main data pools are collection/acquisition, operational storage, and sharing/publication/dissemination with data flux occurring between pools. Persistent and contemporary challenges for HIS are identified, and examples of current and emerging HIS are described in the context of how they are addressing these challenges. Opportunities remain for coordinated community efforts to address outstanding barriers, advance HIS, and further enable hydrology.
{"title":"Hydrologic information systems: An introductory overview","authors":"Amber Spackman Jones, Jeffery S. Horsburgh","doi":"10.1016/j.envsoft.2024.106308","DOIUrl":"https://doi.org/10.1016/j.envsoft.2024.106308","url":null,"abstract":"Hydrologic Information Systems (HIS) integrate hardware and software to support collection, management, and sharing of hydrologic observations data. Successful HIS facilitate hydrologic monitoring, scientific investigation, watershed management, and communication of hydrologic conditions. Furthermore, HIS support the day-to-day data operations that are essential to organizations that monitor hydrologic systems. As an introductory overview of HIS, this paper reviews the history of HIS development and identifies and describes key components. Based on past HIS literature, patterns emerged for universal and generic HIS functionality and components. The main data pools are collection/acquisition, operational storage, and sharing/publication/dissemination with data flux occurring between pools. Persistent and contemporary challenges for HIS are identified, and examples of current and emerging HIS are described in the context of how they are addressing these challenges. Opportunities remain for coordinated community efforts to address outstanding barriers, advance HIS, and further enable hydrology.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"122 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990587","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}
Pub Date : 2025-01-01DOI: 10.1016/j.envsoft.2024.106316
Yong Ge, Mo Zhang, Rongtian Zhao, Die Zhang, Zhiyi Zhang, Daoping Wang, Qiuming Cheng, Yuxue Cui, Jian Liu
Cascading effects from global disruptions such as natural disasters and pandemics have attracted significant research attention. Current approaches face challenges in adequately integrating geographic and systemic factors, limiting their ability to simulate the intricate dynamics of interdependent systems. Here, we proposed a novel Interdependency Network-based Geographic Cascade (INGC) model, coupling geographic factors to capture cascading shocks across global interdependent networks. By integrating macro-level interdependencies and typical dynamic network modelling approaches, the INGC enables more accurate simulations of hazard damage and shock propagation, highlighting critical nodes and pathways essential for informed policy-making. Through the global lockdown case analysis, the INGC model demonstrated its advantages in identifying critical sectors and regions by revealing heterogenous cascading patterns and their details robustly. This approach offers a scalable framework for future research and policy, ensuring greater resilience in the face of complex global extreme events.
{"title":"Cascading effect modelling of integrating geographic factors in interdependent systems","authors":"Yong Ge, Mo Zhang, Rongtian Zhao, Die Zhang, Zhiyi Zhang, Daoping Wang, Qiuming Cheng, Yuxue Cui, Jian Liu","doi":"10.1016/j.envsoft.2024.106316","DOIUrl":"https://doi.org/10.1016/j.envsoft.2024.106316","url":null,"abstract":"Cascading effects from global disruptions such as natural disasters and pandemics have attracted significant research attention. Current approaches face challenges in adequately integrating geographic and systemic factors, limiting their ability to simulate the intricate dynamics of interdependent systems. Here, we proposed a novel Interdependency Network-based Geographic Cascade (INGC) model, coupling geographic factors to capture cascading shocks across global interdependent networks. By integrating macro-level interdependencies and typical dynamic network modelling approaches, the INGC enables more accurate simulations of hazard damage and shock propagation, highlighting critical nodes and pathways essential for informed policy-making. Through the global lockdown case analysis, the INGC model demonstrated its advantages in identifying critical sectors and regions by revealing heterogenous cascading patterns and their details robustly. This approach offers a scalable framework for future research and policy, ensuring greater resilience in the face of complex global extreme events.","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"17 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142935471","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}
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