Pub Date : 2023-08-21DOI: 10.1080/02626667.2023.2239797
Abhinav Wadhwa, Venkatesh Budamala, Pavan Kumar Kummamuru, K. Kasiviswanathan, Srimuruganandam B
ABSTRACT Rainfall is considered a major input in designing stormwater management measures, especially for any low-impact development (LID) control design. With the impact of climate change, rainfall frequency and its patterns are changing continuously. Quantification of these changes and their impact on the performance of LID design becomes crucial. This paper presents a methodology to quantify the change in rainfall patterns using the Coupled Model Intercomparison Project 5 (CMIP5) climate model and to select the most feasible LID for a catchment with haphazard development. Interconnected decentralization-based LID controls are evaluated with the objective of emulating a pre-urbanized scenario. The overall analyses indicated that green roof (GR) followed by infiltration trenches (IT), rooftop disconnection (RTD), and permeable pavement (PP) showed better performance. Furthermore, a combination of IT, PP, and RTD accomplishes better efficiency for extreme rainfall events. Implementation of the most feasible combination will provide the additional benefit of water recycle and reuse.
{"title":"Low-impact development (LID) control feasibility in a small-scale urban catchment for altered climate change scenarios","authors":"Abhinav Wadhwa, Venkatesh Budamala, Pavan Kumar Kummamuru, K. Kasiviswanathan, Srimuruganandam B","doi":"10.1080/02626667.2023.2239797","DOIUrl":"https://doi.org/10.1080/02626667.2023.2239797","url":null,"abstract":"ABSTRACT Rainfall is considered a major input in designing stormwater management measures, especially for any low-impact development (LID) control design. With the impact of climate change, rainfall frequency and its patterns are changing continuously. Quantification of these changes and their impact on the performance of LID design becomes crucial. This paper presents a methodology to quantify the change in rainfall patterns using the Coupled Model Intercomparison Project 5 (CMIP5) climate model and to select the most feasible LID for a catchment with haphazard development. Interconnected decentralization-based LID controls are evaluated with the objective of emulating a pre-urbanized scenario. The overall analyses indicated that green roof (GR) followed by infiltration trenches (IT), rooftop disconnection (RTD), and permeable pavement (PP) showed better performance. Furthermore, a combination of IT, PP, and RTD accomplishes better efficiency for extreme rainfall events. Implementation of the most feasible combination will provide the additional benefit of water recycle and reuse.","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":"44431312","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}
Pub Date : 2023-08-18DOI: 10.1080/02626667.2023.2249459
Changrang Zhou, Ronald van Nooijen, A. Kolechkina, Emna Gargouri, F. Slama, N. C. van de Giesen
ABSTRACT The dependency structure between hydrological variables is of critical importance to hydrological modelling and forecasting. When a copula capturing that dependence is fitted to a sample, information on the uncertainty of the fit is needed for subsequent hydrological calculations and reasoning. A new method is proposed to report inferential uncertainty in a copula parameter. The method is based on confidence curves constructed with the use of a pseudo maximum likelihood estimator for the copula parameter. The method was tested on synthetic data and then used as a tool in two hydrological examples. The first examines the probability of major floods in two locations on the Rhine River and its tributaries in the same calendar year. In the second example, rainfall–runoff from a karst region in Tunisia was analysed to determine a confidence interval for the delay between precipitation and runoff.
{"title":"The uncertainty associated with the use of copulas in multivariate analysis","authors":"Changrang Zhou, Ronald van Nooijen, A. Kolechkina, Emna Gargouri, F. Slama, N. C. van de Giesen","doi":"10.1080/02626667.2023.2249459","DOIUrl":"https://doi.org/10.1080/02626667.2023.2249459","url":null,"abstract":"ABSTRACT The dependency structure between hydrological variables is of critical importance to hydrological modelling and forecasting. When a copula capturing that dependence is fitted to a sample, information on the uncertainty of the fit is needed for subsequent hydrological calculations and reasoning. A new method is proposed to report inferential uncertainty in a copula parameter. The method is based on confidence curves constructed with the use of a pseudo maximum likelihood estimator for the copula parameter. The method was tested on synthetic data and then used as a tool in two hydrological examples. The first examines the probability of major floods in two locations on the Rhine River and its tributaries in the same calendar year. In the second example, rainfall–runoff from a karst region in Tunisia was analysed to determine a confidence interval for the delay between precipitation and runoff.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43137078","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}
Pub Date : 2023-08-17DOI: 10.1080/02626667.2023.2248971
Mohammadali Alijanian, Fatemeh Dehghani
ABSTRACT In situ rainfall data play a significant role in drought assessment studies. However, they are not available with reliable spatiotemporal coverage. With the advancements in satellite rainfall estimates (SREs), monitoring hydrological events in ungauged basins is possible. Additionally, the evaluation of newly released SREs such as CHIRPS, with a long-term record and comparably high resolution (0.05°), in the assessment of extreme hydrological events (dry/wet spells) has scarcely been carried out, which is the most novel motivation of this study. Moreover, evaluation of CHIRPS in developing copula-based multivariate severity–duration–frequency curves based on the severity and duration of the occurred events in 1988–2019 over the Zayandehroud basin (a critical central basin of Iran), is innovatively appraised. An evaluation of CHIRPS in drought assessment shows its acceptable performance, with slight underestimation, in assessing the severity and duration of dry spells. In contrast, an overestimation is identified for wet spells.
{"title":"Evaluation of CHIRPS in dry and wet spell assessment utilizing copula-based severity–duration–frequency curves","authors":"Mohammadali Alijanian, Fatemeh Dehghani","doi":"10.1080/02626667.2023.2248971","DOIUrl":"https://doi.org/10.1080/02626667.2023.2248971","url":null,"abstract":"ABSTRACT In situ rainfall data play a significant role in drought assessment studies. However, they are not available with reliable spatiotemporal coverage. With the advancements in satellite rainfall estimates (SREs), monitoring hydrological events in ungauged basins is possible. Additionally, the evaluation of newly released SREs such as CHIRPS, with a long-term record and comparably high resolution (0.05°), in the assessment of extreme hydrological events (dry/wet spells) has scarcely been carried out, which is the most novel motivation of this study. Moreover, evaluation of CHIRPS in developing copula-based multivariate severity–duration–frequency curves based on the severity and duration of the occurred events in 1988–2019 over the Zayandehroud basin (a critical central basin of Iran), is innovatively appraised. An evaluation of CHIRPS in drought assessment shows its acceptable performance, with slight underestimation, in assessing the severity and duration of dry spells. In contrast, an overestimation is identified for wet spells.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41398426","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}
Pub Date : 2023-08-16DOI: 10.1080/02626667.2023.2248109
Mohamed H. Mowafy, C. Kroll, R. Vogel
Abstract
摘要
{"title":"A graphical non-parametric hydrologic alteration test using flow duration curves","authors":"Mohamed H. Mowafy, C. Kroll, R. Vogel","doi":"10.1080/02626667.2023.2248109","DOIUrl":"https://doi.org/10.1080/02626667.2023.2248109","url":null,"abstract":"Abstract","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41995756","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}
Pub Date : 2023-08-14DOI: 10.1080/02626667.2023.2245811
P. Bauer‐Gottwein, Elena Zakharova, Monica Coppo Frias, H. Ranndal, K. Nielsen, Linda Christoffersen, J. Liu, Liguang Jiang
ABSTRACT Accurate predictions of water surface elevation (WSE) in rivers at high spatial and temporal resolution are important for flood/drought risk assessment and flood/drought forecasting and management. WSE in a river is controlled by three main factors: discharge, riverbed geometry, and hydraulic roughness. In remote and poorly instrumented rivers, discharge and riverbed geometry are highly uncertain and WSE is therefore hard to predict. ICESat-2 laser altimetry provides accurate elevation transects across the river at very high spatial resolution (70 cm along track). This paper demonstrates how ICESat-2 elevation transects can be used to parameterize a basin-scale hydraulic model of a continental-scale river. The workflow is demonstrated for the transboundary Amur River in North-East Asia. Simulated WSE is subsequently validated against a large dataset of in situ and satellite altimetry observations, and we demonstrate that the model can reproduce available WSE observations throughout the basin with an accuracy of 1–2 m.
{"title":"A hydraulic model of the Amur River informed by ICESat-2 elevation","authors":"P. Bauer‐Gottwein, Elena Zakharova, Monica Coppo Frias, H. Ranndal, K. Nielsen, Linda Christoffersen, J. Liu, Liguang Jiang","doi":"10.1080/02626667.2023.2245811","DOIUrl":"https://doi.org/10.1080/02626667.2023.2245811","url":null,"abstract":"ABSTRACT Accurate predictions of water surface elevation (WSE) in rivers at high spatial and temporal resolution are important for flood/drought risk assessment and flood/drought forecasting and management. WSE in a river is controlled by three main factors: discharge, riverbed geometry, and hydraulic roughness. In remote and poorly instrumented rivers, discharge and riverbed geometry are highly uncertain and WSE is therefore hard to predict. ICESat-2 laser altimetry provides accurate elevation transects across the river at very high spatial resolution (70 cm along track). This paper demonstrates how ICESat-2 elevation transects can be used to parameterize a basin-scale hydraulic model of a continental-scale river. The workflow is demonstrated for the transboundary Amur River in North-East Asia. Simulated WSE is subsequently validated against a large dataset of in situ and satellite altimetry observations, and we demonstrate that the model can reproduce available WSE observations throughout the basin with an accuracy of 1–2 m.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44992353","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}
Pub Date : 2023-08-08DOI: 10.1080/02626667.2023.2245815
Emrah Yalcin
ABSTRACT This study assesses the effects of climate change on hydropower production in the most threatened highlands region of the Euphrates-Tigris Basin, with the case of the Dipni Project. This evaluation is based on the precipitation and temperature predictions of the multi-model ensembles produced by analysing the simulations of 24 global circulation models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The Soil and Water Assessment Tool (SWAT) model is utilized to estimate the future inflow rates of the Dipni reservoir under the Shared Socio-economic Pathway (SSP) scenarios of SSP245 and SSP585. The 25-year reservoir operations conducted in the past and three future periods indicate possible decreases of up to 10.1% and 21.5% in the annual energy production under the SSP245 and SSP585 scenarios, respectively. The results show the need to take adaptive measures against the projected impacts of climate change to achieve the targeted return for the coming decades.
{"title":"Quantifying climate change impacts on hydropower production under CMIP6 multi-model ensemble projections using SWAT model","authors":"Emrah Yalcin","doi":"10.1080/02626667.2023.2245815","DOIUrl":"https://doi.org/10.1080/02626667.2023.2245815","url":null,"abstract":"ABSTRACT This study assesses the effects of climate change on hydropower production in the most threatened highlands region of the Euphrates-Tigris Basin, with the case of the Dipni Project. This evaluation is based on the precipitation and temperature predictions of the multi-model ensembles produced by analysing the simulations of 24 global circulation models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The Soil and Water Assessment Tool (SWAT) model is utilized to estimate the future inflow rates of the Dipni reservoir under the Shared Socio-economic Pathway (SSP) scenarios of SSP245 and SSP585. The 25-year reservoir operations conducted in the past and three future periods indicate possible decreases of up to 10.1% and 21.5% in the annual energy production under the SSP245 and SSP585 scenarios, respectively. The results show the need to take adaptive measures against the projected impacts of climate change to achieve the targeted return for the coming decades.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42649336","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}
Pub Date : 2023-08-01DOI: 10.1080/02626667.2023.2243257
S. Nandi, M. Janga Reddy
ABSTRACT Accurate precipitation forecasting with sufficient lead time is a prerequisite for developing a robust flood warning system (FWS), which is very challenging, particularly in developing countries like India. This study evaluates the utility of the TIGGE multimodel ensemble meteorological forecasts over the Upper Bhima River basin and investigated the hydrological utility of the TIGGE forecasts through a calibrated hydrological (VIC-RAPID) model followed by the post-processing of streamflow through Bayesian model average (BMA) approach. Results show that the quality of the meteorological forecasts of precipitation, and of the simulated streamflow, deteriorated with increasing lead time, which can be ameliorated with a suitable bias-correction technique. The BMA-based post-processing further improved the streamflow simulations, especially in case of extreme events, which highlighted its efficacy in flood forecasting. From the results of the study, it is recommended that a compound system of improved precipitation prediction, calibrated VIC-RAPID model and post-processing of streamflows in an integrated manner would facilitate a reliable FWS for operational purposes.
{"title":"Improving the accuracy of multimodel short-to-medium-range precipitation and streamflow forecasts over the Upper Bhima river basin, India","authors":"S. Nandi, M. Janga Reddy","doi":"10.1080/02626667.2023.2243257","DOIUrl":"https://doi.org/10.1080/02626667.2023.2243257","url":null,"abstract":"ABSTRACT Accurate precipitation forecasting with sufficient lead time is a prerequisite for developing a robust flood warning system (FWS), which is very challenging, particularly in developing countries like India. This study evaluates the utility of the TIGGE multimodel ensemble meteorological forecasts over the Upper Bhima River basin and investigated the hydrological utility of the TIGGE forecasts through a calibrated hydrological (VIC-RAPID) model followed by the post-processing of streamflow through Bayesian model average (BMA) approach. Results show that the quality of the meteorological forecasts of precipitation, and of the simulated streamflow, deteriorated with increasing lead time, which can be ameliorated with a suitable bias-correction technique. The BMA-based post-processing further improved the streamflow simulations, especially in case of extreme events, which highlighted its efficacy in flood forecasting. From the results of the study, it is recommended that a compound system of improved precipitation prediction, calibrated VIC-RAPID model and post-processing of streamflows in an integrated manner would facilitate a reliable FWS for operational purposes.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43979627","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}
Pub Date : 2023-07-27DOI: 10.1080/02626667.2023.2241582
Jinseok Park, Seongju Jang, Rokgi Hong, I. Song
ABSTRACT The objectives of this study were to evaluate aquatic habitat suitability considering stream hydraulics as well as water quality and to propose a stream ecological flow rate for Zacco platypus in the Banbyeon Stream of South Korea. Stream water temperature and dissolved oxygen (DO) in addition to streamflow velocity and depth were simulated using the Hydrologic Engineering Center-River Analysis System (HEC-RAS) from 2010 to 2020 and then used to estimate weighted usable area (WUA) as the proxy indicator of stream habitat suitability. The continuous above-threshold (CAT) analysis revealed several anomalous drops in WUA as the combined effect of water temperature rise and streamflow reduction. A WUA/WUAmax ratio of about 24% seems to be a threshold level below which water temperature rises more rapidly as streamflow decreases. This is equivalent to a streamflow rate of 3.6 m3/s and is proposed as the least ecological streamflow to sustain minimal aquatic habitat suitability.
{"title":"Estimation of least ecological streamflow through long-term habitat evaluation using stream hydrodynamics and water quality factors","authors":"Jinseok Park, Seongju Jang, Rokgi Hong, I. Song","doi":"10.1080/02626667.2023.2241582","DOIUrl":"https://doi.org/10.1080/02626667.2023.2241582","url":null,"abstract":"ABSTRACT The objectives of this study were to evaluate aquatic habitat suitability considering stream hydraulics as well as water quality and to propose a stream ecological flow rate for Zacco platypus in the Banbyeon Stream of South Korea. Stream water temperature and dissolved oxygen (DO) in addition to streamflow velocity and depth were simulated using the Hydrologic Engineering Center-River Analysis System (HEC-RAS) from 2010 to 2020 and then used to estimate weighted usable area (WUA) as the proxy indicator of stream habitat suitability. The continuous above-threshold (CAT) analysis revealed several anomalous drops in WUA as the combined effect of water temperature rise and streamflow reduction. A WUA/WUAmax ratio of about 24% seems to be a threshold level below which water temperature rises more rapidly as streamflow decreases. This is equivalent to a streamflow rate of 3.6 m3/s and is proposed as the least ecological streamflow to sustain minimal aquatic habitat suitability.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43267392","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}
Pub Date : 2023-07-27DOI: 10.1080/02626667.2023.2240312
Zeming Wang, J. Seibert, Ilja van Meerveld, H. Lyu, Chi Zhang
ABSTRACT Citizen science projects engage the public in monitoring the environment and can collect useful data. One example is the CrowdWater project, in which stream levels are observed and compared to reference photos taken at an earlier time to obtain stream level class data. However, crowd-based observations are uncertain and require data quality control. Therefore, we used a deep learning model to estimate the water-level class for photos taken by citizen scientists at different times for the same stream and compared different options for model training. The models had a root mean square error (R) of 0.5 classes or better for all but four of the 385 sites for which the model was trained. Low water levels were in general predicted better than high water levels (R of 0.6 vs 1.0 classes). The study thus highlights the potential of human–computer interaction for data collection and quality control in citizen science projects.
{"title":"Automatic water-level class estimation from repeated crowd-based photos of streams","authors":"Zeming Wang, J. Seibert, Ilja van Meerveld, H. Lyu, Chi Zhang","doi":"10.1080/02626667.2023.2240312","DOIUrl":"https://doi.org/10.1080/02626667.2023.2240312","url":null,"abstract":"ABSTRACT Citizen science projects engage the public in monitoring the environment and can collect useful data. One example is the CrowdWater project, in which stream levels are observed and compared to reference photos taken at an earlier time to obtain stream level class data. However, crowd-based observations are uncertain and require data quality control. Therefore, we used a deep learning model to estimate the water-level class for photos taken by citizen scientists at different times for the same stream and compared different options for model training. The models had a root mean square error (R) of 0.5 classes or better for all but four of the 385 sites for which the model was trained. Low water levels were in general predicted better than high water levels (R of 0.6 vs 1.0 classes). The study thus highlights the potential of human–computer interaction for data collection and quality control in citizen science projects.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42637942","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}
Pub Date : 2023-07-27DOI: 10.1080/02626667.2023.2241850
G. Gelete, Vahid Nourani, H. Gokçekuş, Tagesse Gichamo
ABSTRACT This study evaluates the performance of the Hydrologic Engineering Center-Hydrologic Modelling System (HEC-HMS), Hydrologiska Byråns Vattenbalansavdelning (HBV), Soil and Water Assessment Tool (SWAT), feedforward neural network (FFNN), adaptive neuro-fuzzy inference system (ANFIS), support vector regression (SVR) and multilinear regression (MLR) for modelling the rainfall–runoff–sediment process in Katar catchment, Ethiopia. Afterward, neural network ensemble (NE), weighted average ensemble (WE) and simple average ensemble (SE) techniques were developed to improve the performance of single models. The performance of the models was evaluated using Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE) and mean absolute error (MAE). The results show that the ANFIS model outperformed the other single models for rainfall–runoff–sediment modelling. Moreover, the integration of artificial intelligence and physically-based models resulted in improved performance, with the NE technique demonstrating better accuracy by improving individual models by 5.8–27.6% for rainfall–runoff and 3.59–37.9% for suspended sediment load modelling in the validation phase.
{"title":"Physical and artificial intelligence-based hybrid models for rainfall–runoff–sediment process modelling","authors":"G. Gelete, Vahid Nourani, H. Gokçekuş, Tagesse Gichamo","doi":"10.1080/02626667.2023.2241850","DOIUrl":"https://doi.org/10.1080/02626667.2023.2241850","url":null,"abstract":"ABSTRACT This study evaluates the performance of the Hydrologic Engineering Center-Hydrologic Modelling System (HEC-HMS), Hydrologiska Byråns Vattenbalansavdelning (HBV), Soil and Water Assessment Tool (SWAT), feedforward neural network (FFNN), adaptive neuro-fuzzy inference system (ANFIS), support vector regression (SVR) and multilinear regression (MLR) for modelling the rainfall–runoff–sediment process in Katar catchment, Ethiopia. Afterward, neural network ensemble (NE), weighted average ensemble (WE) and simple average ensemble (SE) techniques were developed to improve the performance of single models. The performance of the models was evaluated using Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE) and mean absolute error (MAE). The results show that the ANFIS model outperformed the other single models for rainfall–runoff–sediment modelling. Moreover, the integration of artificial intelligence and physically-based models resulted in improved performance, with the NE technique demonstrating better accuracy by improving individual models by 5.8–27.6% for rainfall–runoff and 3.59–37.9% for suspended sediment load modelling in the validation phase.","PeriodicalId":55042,"journal":{"name":"Hydrological Sciences Journal-Journal Des Sciences Hydrologiques","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44156665","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}
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