Hydrological Sciences Journal-Journal Des Sciences Hydrologiques最新文献_第4页

Estimation of sediment discharge using a tree-based model 基于树模型的输沙量估算

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-07-06 DOI: 10.1080/02626667.2023.2221790

E. Jang, U. Ji, W. Yeo

引用次数: 0

Defining intensity–duration–frequency curves at short durations: a methodological framework 在短时间内定义强度-持续时间-频率曲线:一个方法学框架

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-07-05 DOI: 10.1080/02626667.2023.2224002

I. Gnecco, A. Palla, P. La Barbera, G. Roth, F. Giannoni

{"title":"Defining intensity–duration–frequency curves at short durations: a methodological framework","authors":"I. Gnecco, A. Palla, P. La Barbera, G. Roth, F. Giannoni","doi":"10.1080/02626667.2023.2224002","DOIUrl":"https://doi.org/10.1080/02626667.2023.2224002","url":null,"abstract":"ABSTRACT In the field of sub-hourly durations, and especially in urban hydrology, selecting the most appropriate form of the intensity–duration–frequency (IDF) curve becomes a relevant question. In this study, two different formulations of IDF curves – that are characterized by a curvature in the sub-hourly intervals and a power-law formulation for the super-hourly intervals – are proposed in order to maximize the overall information contribution in the sub-hourly and the super-hourly domains. The proposed formulations are compared with two well-known IDF formulations, respectively characterized by a power-law and a curvature (from the power-law) formulation, calibrated only using data referring to super-hourly durations. Findings indicated that the proposed IDF curves allow to account for the different lengths of the sub-hourly and canonical data series and eventually for the different behaviour/trend of sub-hourly and super-hourly data, thus providing the best reliability indicator, at least in the investigated return period.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":"68 1","pages":"1499 - 1512"},"PeriodicalIF":3.5,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43597202","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: 0

Assessing influential rainfall–runoff variables to simulate daily streamflow using random forest 使用随机森林评估有影响的降雨-径流变量以模拟日流量

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-07-04 DOI: 10.1080/02626667.2023.2232356

F. Vilaseca, A. Castro, C. Chreties, A. Gorgoglione

引用次数: 0

Quantitative analysis of input data uncertainty for SPI and SPEI in Peninsular Malaysia based on the bootstrap method 基于自举法的马来西亚半岛SPI和SPEI输入数据不确定性定量分析

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-07-04 DOI: 10.1080/02626667.2023.2232348

Y. Tan, J. L. Ng, Yuk Feng Huang

{"title":"Quantitative analysis of input data uncertainty for SPI and SPEI in Peninsular Malaysia based on the bootstrap method","authors":"Y. Tan, J. L. Ng, Yuk Feng Huang","doi":"10.1080/02626667.2023.2232348","DOIUrl":"https://doi.org/10.1080/02626667.2023.2232348","url":null,"abstract":"ABSTRACT Drought assessment has attracted attention in the research community, especially regarding the accuracy of drought indices due to input data uncertainty. This study addressed the impacts of input data uncertainty on the estimation of the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) for drought assessment in Peninsular Malaysia. The Kolmogorov-Smirnov test recommended the gamma distribution function for the SPI and the log-logistic distribution function for the SPEI. The bootstrap method was used to estimate SPIU and SPEIU, which account for input data uncertainty, and provided estimates for SPI and SPEI values. However, the standard deviation indicated significant input data uncertainty, with values ranging from 0.1038 to 0.1378. The two drought indices exhibited similar classifications of drought categories, but SPIU showed greater uncertainty for very dry and extremely dry events. The findings emphasize the importance of input data uncertainty, especially when dealing with extreme drought events.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":"68 1","pages":"1724 - 1737"},"PeriodicalIF":3.5,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42661187","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: 0

Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall–runoff models 由于概念降雨-径流模型中的校准度量选择，探索参数（dis）一致性

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-29 DOI: 10.1080/02626667.2023.2231434

Eduardo Muñoz-Castro, P. Mendoza, N. Vásquez, X. Vargas

{"title":"Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall–runoff models","authors":"Eduardo Muñoz-Castro, P. Mendoza, N. Vásquez, X. Vargas","doi":"10.1080/02626667.2023.2231434","DOIUrl":"https://doi.org/10.1080/02626667.2023.2231434","url":null,"abstract":"ABSTRACT We examine the extent to which the parameters of different types of catchments are sensitive to calibration criteria selection (i.e. parameter agreement), and explore possible connections with overall model performance and model complexity. To this end, we calibrate the lumped GR4J, GR5J and GR6J hydrological models – coupled with the CemaNeige snow module – in 95 catchments spanning a myriad of hydroclimatic and physiographic characteristics across Chile, using 12 streamflow-oriented objective functions. The results show that (i) the choice of objective function has smaller effects on parameter values in catchments with low aridity index and high mean annual runoff ratio, in contrast to drier climates; and (ii) catchments with better parameter agreement also provide better performance across model structures and simulation periods. More generally, this work provides insights on the type of catchments where it is more challenging to find sub-domains in the parameter space that satisfy multiple streamflow criteria.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":"68 1","pages":"1754 - 1768"},"PeriodicalIF":3.5,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46344270","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

How to assess climate change impact models: uncertainty analysis of streamflow statistics via approximate Bayesian computation (ABC) 如何评估气候变化影响模式:基于近似贝叶斯计算(ABC)的流量统计不确定性分析

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-29 DOI: 10.1080/02626667.2023.2231437

J. Romero-Cuellar, F. Francés

{"title":"How to assess climate change impact models: uncertainty analysis of streamflow statistics via approximate Bayesian computation (ABC)","authors":"J. Romero-Cuellar, F. Francés","doi":"10.1080/02626667.2023.2231437","DOIUrl":"https://doi.org/10.1080/02626667.2023.2231437","url":null,"abstract":"ABSTRACT Climate change impact models (CCIMs) suffer from inherent bias, uncertainty, and asynchronous observations in the baseline period. To overcome these challenges, this study introduces a methodology to assess CCIMs in the baseline period using the uncertainty analysis of streamflow statistics via the approximate Bayesian computation (ABC) post-processor, which infers the residual error model parameters based on summary statistics (signatures). As an illustrative case study, we analyzed the climate change projections of the fifth assessment report of the United Nations intergovernmental panel on climate change (AR5 - IPCC) of the monthly streamflow in the upper Oria catchment (Spain) with deterministic and probabilistic verification frameworks to assess the ABC post-processor outputs. In addition, the ABC post-processor is evaluated against the ensemble (reference method). The results show that the ABC post-processor outperformed the ensemble method in all verification metrics, and the ensemble method has reasonable reliability but exhibited poor sharpness. We suggest that the ensemble method should be complemented with the ABC post-processor for climate change impact studies.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":"68 1","pages":"1611 - 1626"},"PeriodicalIF":3.5,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48302753","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: 0

Insights into the influence of morphology on the hydrological processes of river catchments using stable isotopes 利用稳定同位素研究形态对河流流域水文过程的影响

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-28 DOI: 10.1080/02626667.2023.2224005

I. Matiatos, A. Papadopoulos, Y. Panagopoulos, E. Dimitriou

{"title":"Insights into the influence of morphology on the hydrological processes of river catchments using stable isotopes","authors":"I. Matiatos, A. Papadopoulos, Y. Panagopoulos, E. Dimitriou","doi":"10.1080/02626667.2023.2224005","DOIUrl":"https://doi.org/10.1080/02626667.2023.2224005","url":null,"abstract":"ABSTRACT Water isotopes (δ18O, δ2H) were systematically monitored in two river catchments to investigate the isotopic spatiotemporal variation and the differences between them. The Pinios River Basin (PRB) exhibited lower average δ 18O and δ 2H values (−7.9‰ and −50.8‰, respectively) compared to the Evrotas River Basin (ERB) (−6.5‰ and −38.2‰, respectively) but higher in range (3.3‰ vs 1.2‰ for δ18O, respectively). The Bayesian modelling results showed higher groundwater contribution in the PRB (25–50%) than in the ERB (15–35%) relative to precipitation during the wet period. The isotopic spatial variability was attributed to the influence of local precipitation, evaporation and additional flow pathways (e.g. soil water). The correlation analysis showed that the isotopic composition is controlled by the catchment altitude, slope and discharge. This study highlights the catchment physiographic control on the isotopic composition of rivers, which can support strategies for better water resources management.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":"68 1","pages":"1487 - 1498"},"PeriodicalIF":3.5,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41639298","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: 0

Determining flood source areas in watersheds using data-driven models and a geographic information system 利用数据驱动模型和地理信息系统确定流域的洪水源区

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-28 DOI: 10.1080/02626667.2023.2220885

Behzad Zohourian, Seyed Mahmood Hosseini

引用次数: 0

Hydro-morphodynamic responses of rivers to the construction of hydropower dams: a case study – the Kor River, Iran 河流对水电站大坝建设的水力形态动力学响应：以伊朗科尔河为例

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-06-27 DOI: 10.1080/02626667.2023.2230197

H. Hamidifar, M. Nones

引用次数: 0

Cessation time approach incorporating parametric and non-parametric machine-learning algorithms for recovery test data 停止时间方法结合参数和非参数机器学习算法恢复测试数据