Hydrological Sciences Journal-Journal Des Sciences Hydrologiques最新文献

Potential assessment of calibration approaches using the SWAT hydrological model for streamflow and sediment yield for a large-scale catchment 利用SWAT水文模型对大规模集水区的流量和产沙量进行校准方法的潜在评估

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-09-05 DOI: 10.1080/02626667.2023.2243463

Wasu Manawko Tefera, K. S. Kasiviswanathan

引用次数: 0

Explaining the groundwater salinity of hard-rock aquifers in semi-arid hinterlands using a multidisciplinary approach 用多学科方法解释半干旱腹地硬岩含水层的地下水盐度

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-08-31 DOI: 10.1080/02626667.2023.2253227

Marjorie B. Kreis, J. Taupin, N. Patris, V. Vergnaud-Ayraud, C. Leduc, P. Lachassagne, J. Burte, E. Martins

{"title":"Explaining the groundwater salinity of hard-rock aquifers in semi-arid hinterlands using a multidisciplinary approach","authors":"Marjorie B. Kreis, J. Taupin, N. Patris, V. Vergnaud-Ayraud, C. Leduc, P. Lachassagne, J. Burte, E. Martins","doi":"10.1080/02626667.2023.2253227","DOIUrl":"https://doi.org/10.1080/02626667.2023.2253227","url":null,"abstract":"ABSTRACT Shallow crystalline groundwater in the semi-arid hinterland of Ceará is brackish or saline with mixed chloride or sodium chloride facies. Very few hydrochemical data are available for the area and the drivers behind this salinity are not clearly identified. In this study, extensive field data collection was performed to provide new information about the hydrogeological functioning and the salinization processes, through the implementation of piezometric, hydrogeochemical, isotopic (18O, 2H) and multitracer dating (14C, 3H, CFC, SF6) monitoring. Piezometric and isotopic data evidence fast flow circulation processes and a high contribution of evaporated surface water to aquifer recharge. Multitracer dating shows the groundwater is essentially composed of seasonal vertical infiltration flows that mix with older waters stored in the aquifer. Chemical analyses suggest the groundwater, originally low mineralized, has become progressively saltier due to leaching of salts that were evapoconcentrated in either surface waters or the unsaturated zone during drier periods.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43819867","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

An assessment of small island hydrological research activity conducted in the Oceania region 对大洋洲区域进行的小岛屿水文研究活动的评估

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-08-30 DOI: 10.1080/02626667.2023.2252406

Chris Leong, Maletina Solomone, R. Shinjo, Daiki Tomojiri, Christmas Uchiyama, J. Yasumoto, B. Razafindrabe

{"title":"An assessment of small island hydrological research activity conducted in the Oceania region","authors":"Chris Leong, Maletina Solomone, R. Shinjo, Daiki Tomojiri, Christmas Uchiyama, J. Yasumoto, B. Razafindrabe","doi":"10.1080/02626667.2023.2252406","DOIUrl":"https://doi.org/10.1080/02626667.2023.2252406","url":null,"abstract":"ABSTRACT This paper provides an assessment of hydrological research activity conducted in the Oceania Region. Literature from three databases (Web of Science (WOS), Scopus, and Google Scholar) was collected and analysed. Results show large gaps in the variety of themes and poor collaborative efforts between regional water specialists. Results also suggest that local specialists potentially lack the ability to conduct quality hydrological research or that, due to the region’s developing status, more focus has been placed on project-based objectives rather than building a body of research. A solution could be the development of a self-reliant base for conducting hydrological research by empowering and improving capabilities of local citizens. Firstly, an overhaul of organization policies regarding the introduction of research and performance monitoring is needed. Secondly, education in hydrology must be improved to suit local capabilities while addressing the complex socio-cultural environment with transdisciplinary measures. This assessment could benefit the future management of hydrological services.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42672150","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

Spatiotemporal river–aquifer interactions of a large tropical dryland river with high anthropic intervention 具有高度人为干预的大型热带旱地河流-含水层时空相互作用

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-08-30 DOI: 10.1080/02626667.2023.2252816

Arthur Jordan de Azevedo Toné, A. Costa, Mário Ubirajara Gonçalves Barros, Hermilson Barros de Freitas, José Rodrigo Vasconcelos Cavalcante, I. L. Lima Neto

{"title":"Spatiotemporal river–aquifer interactions of a large tropical dryland river with high anthropic intervention","authors":"Arthur Jordan de Azevedo Toné, A. Costa, Mário Ubirajara Gonçalves Barros, Hermilson Barros de Freitas, José Rodrigo Vasconcelos Cavalcante, I. L. Lima Neto","doi":"10.1080/02626667.2023.2252816","DOIUrl":"https://doi.org/10.1080/02626667.2023.2252816","url":null,"abstract":"ABSTRACT This study analyses the spatiotemporal river–aquifer interactions in a large dryland river with high anthropic intervention. Measurements of water level and flow rate were performed and analysed together with secondary data on hydrogeology, water use and satellite images. Average transmission losses ranged from about 12 to 28% of the river inflow, while transmission gains ranged from 10 to 34%. Transmission losses occurred at the beginning of the rainy season (rainfall ≤ 10 mm/d), while the transmission gains were preponderant after intense rainfall events (> 20 mm/d). A direct relationship between the transmission losses/gains and river inflow was also observed. Linear equations were adjusted to estimate the order of magnitude of transmission losses (R2 > 0.85) and gains (R2 > 0.60). The transmission loss equation was validated for rivers in similar regions (R2 ≈ 0.85). A conceptual model is proposed to describe river–aquifer interactions in large dryland rivers.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44585543","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

A priori selection of hydrological model structures in modular modelling frameworks: application to Great Britain 模块化建模框架中水文模型结构的先验选择:在英国的应用

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-08-29 DOI: 10.1080/02626667.2023.2251968

Melike Kiraz, G. Coxon, Thorsten Wagener

{"title":"A priori selection of hydrological model structures in modular modelling frameworks: application to Great Britain","authors":"Melike Kiraz, G. Coxon, Thorsten Wagener","doi":"10.1080/02626667.2023.2251968","DOIUrl":"https://doi.org/10.1080/02626667.2023.2251968","url":null,"abstract":"ABSTRACT Multi-model studies are widespread in large-sample hydrology. However, significant challenges remain in identifying interpretable connections between high-performing model structures and catchment characteristics, and thus in developing a coherent strategy for developing tailored multi-model ensembles. Here, we assess the importance of selecting model structures that are consistent with the expected hydrological variability across the study domain. We compare results of two modular modelling frameworks across 998 catchments in Great Britain. The RRMT framework includes model structures historically evolved in the UK, while the FUSE framework employs model structures from diverse global origins. While both groups of model structures contain high-performing members, the historically evolved group members separate between catchments in line with our expectation of hydrologic differences. We find that four hydrologic signatures organize these distinctions. Our results emphasize (1) the importance of model structure selection based on explicit perceptual models, and (2) the need to look beyond statistical performance alone.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44437916","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 hydrologic and river ice modeling framework for assessing ungauged subbasin streamflow impact in a large cold-region river basin 一个用于评估大型寒冷地区河流流域未经调节的次流域流量影响的水文和河冰建模框架

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-08-29 DOI: 10.1080/02626667.2023.2251957

Yuzhuang Chen, Yuntong She

引用次数: 1

A new approach to improve precipitable water vapour estimations of Sentinel-3A satellite data using LST, elevation and NDVI over Iran 利用LST、高程和NDVI改进伊朗上空Sentinel-3A卫星数据可降水水汽估计的新方法

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-08-23 DOI: 10.1080/02626667.2023.2251468

H. Dadashi, M. Rahimzadegan

引用次数: 0

Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: A systematic literature review 提供对蒸发相关研究中缺失数据输入过程的全面理解:系统的文献综述

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-08-22 DOI: 10.1080/02626667.2023.2249456

E. E. Başakın, Ö. Ekmekcioğlu, M. Özger

{"title":"Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: A systematic literature review","authors":"E. E. Başakın, Ö. Ekmekcioğlu, M. Özger","doi":"10.1080/02626667.2023.2249456","DOIUrl":"https://doi.org/10.1080/02626667.2023.2249456","url":null,"abstract":"ABSTRACT This study aimed to review the existing research focalizing on the missing data imputation techniques for the systems enabling actual evapotranspiration calculation (such as eddy covariance, Bowen ratio, and lysimeters) and divergent evapotranspiration related variables, i.e. temperature, wind speed, humidity, and solar radiation. Thus, the Scopus engine was utilized to scan the entire literature and 62 articles were diligently investigated. Results show classical approaches have been widely used by researchers due to their ease of implementation. However, the applicability and validity of these methods heavily rely on assumptions made about the distribution and characteristics of missing data. Hence, advanced imputation techniques produce more accurate outcomes as they handle complex and non-linear problems. Also, current trends embraced by the research community revealed that employing deep learning techniques and incorporating explainable artificial intelligence into imputations have significant potential to make insightful contributions to the body of knowledge.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45833382","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

Evaluating the effects of reservoir outflow and land-use change on the Zarrineh River basin 水库出水量和土地利用变化对扎里涅河流域的影响评价

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-08-21 DOI: 10.1080/02626667.2023.2249874

P. Nakhaei, O. Kisi

引用次数: 1

Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning 利用遥感数据和机器学习对加州不同气候区的长期降水量进行预测

IF 3.5 3区环境科学与生态学

Hydrological Sciences Journal-Journal Des Sciences Hydrologiques Pub Date : 2023-08-21 DOI: 10.1080/02626667.2023.2248112

Shabnam Majnooni, M. Nikoo, Banafsheh Nematollahi, Mahmood Fooladi, N. Alamdari, G. Al-Rawas, A. Gandomi

{"title":"Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning","authors":"Shabnam Majnooni, M. Nikoo, Banafsheh Nematollahi, Mahmood Fooladi, N. Alamdari, G. Al-Rawas, A. Gandomi","doi":"10.1080/02626667.2023.2248112","DOIUrl":"https://doi.org/10.1080/02626667.2023.2248112","url":null,"abstract":"ABSTRACT This study presented a novel paradigm for forecasting 12-step-ahead monthly precipitation at 126 California gauge stations. First, the satellite-based precipitation time series from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), TerraClimate, ECMWF Reanalysis V5 (ERA5), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) products were bias-corrected using historical precipitation data. Four methods were tested, and quantile mapping (QM) was the best. After pre-processing data, 19 machine-learning models were developed. random forest, Extreme Gradient Boosting (XGBoost), extreme gradient boosting, support vector machine, multi-layer perceptron, and K-nearest-neighbours were chosen as the best models based on Complex Proportional Assessment (COPRAS) measurement. After hyperparameter adjustment, the Bayesian back-propagation regularization algorithm fused the results. The superior models’ predictions were considered inputs, and the target’s initial step was labeled. The next 11 steps at each station followed this approach, and the fusion models accurately predicted all steps. The 12th step’s average Nash-Sutcliffe efficiency (NSE), mean square error (MSE), coefficient of determination (R2), correlation coefficient (R) were 0.937, 52.136, 0.880, and 0.869, respectively, demonstrating the framework’s effectiveness at high forecasting horizons to help policymakers manage water resources.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43428891","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