Hydrological Sciences Journal-Journal Des Sciences Hydrologiques最新文献_第5页

Vulnerability assessment for climate adaptation planning in a Mediterranean basin 地中海盆地气候适应规划的脆弱性评估

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-26 DOI: 10.1080/02626667.2023.2219397

M. Solans, H. Macian-Sorribes, F. Martínez‐Capel, M. Pulido‐Velazquez

引用次数: 0

Use of long short-term memory network (LSTM) in the reconstruction of missing water level data in the River Seine 利用长短期记忆网络(LSTM)重建塞纳河缺失的水位数据

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-21 DOI: 10.1080/02626667.2023.2221791

Imad Janbain, J. Deloffre, A. Jardani, M. Vu, N. Massei

引用次数: 1

Quantifying irrigation uptake in olive trees: a proof-of-concept approach combining isotope tracing and Hydrus-1D 量化橄榄树的灌溉吸收:一种结合同位素示踪和Hydrus-1D的概念验证方法

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-20 DOI: 10.1080/02626667.2023.2218552

P. Nasta, D. Todini-Zicavo, G. Zuecco, C. Marchina, D. Penna, J. McDonnell, Anam Amin, C. Allocca, F. Marzaioli, L. Stellato, M. Borga, N. Romano

引用次数: 1

Trends? Complicated answers to a simple question 趋势吗?简单问题的复杂答案

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-19 DOI: 10.1080/02626667.2023.2224922

G. Bürger

引用次数: 1

Quantifying climate and anthropogenic impacts on runoff using the SWAT model, a Budyko-based approach and empirical methods 利用SWAT模型、基于budyko的方法和经验方法量化气候和人为对径流的影响

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-19 DOI: 10.1080/02626667.2023.2218551

Ruirui Xu, Dexun Qiu, Chang-wen Wu, Xingmin Mu, Guangju Zhao, Wenyi Sun, P. Gao

{"title":"Quantifying climate and anthropogenic impacts on runoff using the SWAT model, a Budyko-based approach and empirical methods","authors":"Ruirui Xu, Dexun Qiu, Chang-wen Wu, Xingmin Mu, Guangju Zhao, Wenyi Sun, P. Gao","doi":"10.1080/02626667.2023.2218551","DOIUrl":"https://doi.org/10.1080/02626667.2023.2218551","url":null,"abstract":"ABSTRACT Understanding the impact of climate change and human activities on runoff is crucial for water resources management. However, an evaluation of available methods for analysing this impact is lacking. In this study, we comprehensively reviewed four commonly used quantitative methods: the Soil and Water Assessment Tool (SWAT) model, Budyko-based approach, and two empirical methods, i.e., Double mass curve (DMC) and Modified DMC (MDMC). Using the Wei River basin as a case study, we assessed the runoff reduction influenced by climate change and human activities from 1970 to 2017. The results show that human activities are the primary driver for runoff reduction. The highest contribution of human activities was estimated by the DMC (93.2%–99.9%), followed by MDMC and SWAT (65.6%–87.1%), while the Budyko-based had the smallest estimates (55.3%–61.2%). Each method has advantages and limitations, so the appropriate method should be selected based on research objectives and data availability/quality.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":"68 1","pages":"1358 - 1371"},"PeriodicalIF":3.5,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48215087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 3

Exploring the uncertainty of weather generators’ extreme estimates in different practical available information scenarios 在不同的实际可用信息场景中探索天气生成器极端估计的不确定性

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-16 DOI: 10.1080/02626667.2023.2208754

Carles Beneyto, José Ángel Aranda, F. Francés

{"title":"Exploring the uncertainty of weather generators’ extreme estimates in different practical available information scenarios","authors":"Carles Beneyto, José Ángel Aranda, F. Francés","doi":"10.1080/02626667.2023.2208754","DOIUrl":"https://doi.org/10.1080/02626667.2023.2208754","url":null,"abstract":"ABSTRACT Stochastic weather generators are powerful tools capable of extending the available precipitation records to the desired length. These, however, rely upon the amount of information available, which often is scarce, especially in arid and semi-arid regions. No studies can be found dealing with the uncertainty associated with these estimates related to the amount of information used in the weather generation calibration process, which is precisely the aim of the present study. A Monte Carlo simulation from a synthetic population was performed, evaluating the uncertainty of the simulated quantiles in different practical available information scenarios. The results showed that incorporating a regional study of annual maximum daily precipitation in the model parameterization clearly reduced the uncertainty of all quantile estimates. In addition, it has been proved that the uncertainty of these estimates increases with the population extremality, thus marking the importance of integrating additional information in regions with extreme precipitation patterns.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":"68 1","pages":"1203 - 1212"},"PeriodicalIF":3.5,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47129108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1

Modelling the climate change impacts on river discharge and inundation extent in the Magdalena River basin – Colombia 哥伦比亚马格达莱纳河流域气候变化对河流流量和淹没程度影响的模拟

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-15 DOI: 10.1080/02626667.2023.2215932

Andrés Mauricio Munar, Nelly Mendez, Gabriel Narváez, Fernando Campo Zambrano, David Motta-Marques, João Paulo Lyra Fialho Brêda, Ayan Santos Fleischmann, H. Angarita

{"title":"Modelling the climate change impacts on river discharge and inundation extent in the Magdalena River basin – Colombia","authors":"Andrés Mauricio Munar, Nelly Mendez, Gabriel Narváez, Fernando Campo Zambrano, David Motta-Marques, João Paulo Lyra Fialho Brêda, Ayan Santos Fleischmann, H. Angarita","doi":"10.1080/02626667.2023.2215932","DOIUrl":"https://doi.org/10.1080/02626667.2023.2215932","url":null,"abstract":"ABSTRACT Climate change may have significant impacts on water balance and may considerably influence flooding dynamics of river systems by increasing extreme precipitation. This study evaluates the potential effects of climate change on river discharge and inundation in the Magdalena River basin, the main river in Colombia, using the synergy between the MGB (Modelo de Grandes Bacias) hydrological–hydrodynamic model and downscaled Eta-regional climate model (RCM) projections based on four global climate models (GCMs): BESM (Brazilian Earth System Model), CanESM2 (Canadian Earth System Model), MIROC5 (Model for Interdisciplinary Research on Climate Version Five), and HadGEM2-ES (Hadley Centre Global Environment Model version 2). We used two different greenhouse gas scenarios (RCP4.5 and RCP8.5 (Representative Concentration Pathway)) for the “historical” (1986–2005) and “mid-term prospective” (2046–2065) periods. Model results for the “mid-term prospective” period under scenarios RCP4.5 and RCP8.5 indicate increase in mean river discharges in the east portion of the basin, decreased river discharges (mainly in the dry season) in the upper Magdalena basin, and increased inundation extent. By coupling hydrological–hydrodynamic and GCMs/RCMs models, modelling frameworks like the one used in this study provide an effective management tool for stakeholders interested in potential climate change impacts on tropical river basins.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":"8 4","pages":"1286 - 1300"},"PeriodicalIF":3.5,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41243517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1

A dynamic approach for assessing climate change impacts on drought: an analysis in Southern Italy 评估气候变化对干旱影响的动态方法：意大利南部的分析

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-15 DOI: 10.1080/02626667.2023.2217332

D. J. Peres, B. Bonaccorso, Nunziarita Palazzolo, A. Cancelliere, G. Mendicino, A. Senatore

{"title":"A dynamic approach for assessing climate change impacts on drought: an analysis in Southern Italy","authors":"D. J. Peres, B. Bonaccorso, Nunziarita Palazzolo, A. Cancelliere, G. Mendicino, A. Senatore","doi":"10.1080/02626667.2023.2217332","DOIUrl":"https://doi.org/10.1080/02626667.2023.2217332","url":null,"abstract":"ABSTRACT Drought is often monitored through standardized indices. However, while enabling comparisons across different climatic regions, standardization poses an issue when using indices to assess future climate change impacts on drought, since they have a null average by definition. To address this issue, in this study we introduce a dynamic approach where future changes are assessed by computing climate normals using moving time windows. The approach is applied to Sicily and Calabria (Southern Italy) using the standardized precipitation index (SPI) and the standardized precipitation–evapotranspiration index (SPEI), and considering climate change scenarios RCP4.5 and RCP8.5. An optimized ensemble weighted average (OEWA) of climate models is introduced to reduce model biases. The results indicate that the region is likely to experience an increase in drought events due to climate change. The findings highlight the need for revised drought identification strategies that account for non-stationarity in climate.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":"68 1","pages":"1213 - 1228"},"PeriodicalIF":3.5,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42316314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 2

A Bayesian modelling approach for assessing non-stationarity in annual maximum rainfall under a changing climate 一种用于评估气候变化下年最大降雨量非平稳性的贝叶斯建模方法

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-01 DOI: 10.1080/02626667.2023.2218550

Temesgen Zelalem, K. Kasiviswanathan

引用次数: 0

A simple method of bias correction for GCM derived streamflow at catchment scale 流域尺度上GCM衍生流量的一种简单偏差校正方法

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-05-25 DOI: 10.1080/02626667.2023.2218036

Syed Ataharul, Faisal Anwar, M. Bari

引用次数: 0