Journal of Hydro-environment Research最新文献_第9页

Editorial (January 2022) 社论(2022年1月)

IF 2.8 3区环境科学与生态学

Journal of Hydro-environment Research Pub Date : 2022-01-01 DOI: 10.1016/j.jher.2022.01.001

引用次数: 0

Experimental investigation of the effects of contraction on tsunami-induced forces and pressures on a box section bridge 箱式截面桥梁收缩对海啸力和压力影响的实验研究

IF 2.8 3区环境科学与生态学

Journal of Hydro-environment Research Pub Date : 2022-01-01 DOI: 10.1016/j.jher.2021.12.004

Farzad Farvizi , Bruce W. Melville , Asaad Y. Shamseldin , Seyedreza Shafiei

{"title":"Experimental investigation of the effects of contraction on tsunami-induced forces and pressures on a box section bridge","authors":"Farzad Farvizi , Bruce W. Melville , Asaad Y. Shamseldin , Seyedreza Shafiei","doi":"10.1016/j.jher.2021.12.004","DOIUrl":"10.1016/j.jher.2021.12.004","url":null,"abstract":"<div><p>Many bridges that lie within possible tsunami inundation zones are critical links in transport networks. Some efforts have been made to determine the effects of tsunamis on bridges, but only a limited range of published design guidelines are available. Therefore, it is necessary to further investigate the effects of tsunamis on bridges. In the current study, physical modeling experiments were carried out to measure bore impact forces and pressures for various tsunami bore strengths on a bridge deck with different abutment types (wing wall and spill-through) and different opening and submergence ratios. The experiments were conducted in a wave flume with dimensions of 14 × 1.2 × 0.8 m (length × width × height), equipped with an automatic gate designed to generate a tsunami bore. The horizontal and vertical forces showed an increasing trend with increasing submergence ratio for both types of abutment. However, the horizontal force showed a decreasing trend as the opening ratio decreased, while the vertical force initially increased as the opening ratio decreased, until it reached a peak value, and then it started to decrease. The overall shapes of the results for both types of abutment are similar, with higher values for spill-through abutments due to their lower energy dissipation rates. Based on the experimental data, empirical equations are proposed for estimation of tsunami loads as a function of opening and submergence ratios.</p></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"40 ","pages":"Pages 116-130"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49176102","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

Short-term River streamflow modeling using Ensemble-based additive learner approach 基于集成的加性学习方法的短期河流流建模

IF 2.8 3区环境科学与生态学

Journal of Hydro-environment Research Pub Date : 2021-11-01 DOI: 10.1016/j.jher.2021.07.003

Khabat Khosravi , Shaghayegh Miraki , Patricia M. Saco , Raziyeh Farmani

{"title":"Short-term River streamflow modeling using Ensemble-based additive learner approach","authors":"Khabat Khosravi , Shaghayegh Miraki , Patricia M. Saco , Raziyeh Farmani","doi":"10.1016/j.jher.2021.07.003","DOIUrl":"10.1016/j.jher.2021.07.003","url":null,"abstract":"<div><p>Accurate streamflow (Q<sub>t</sub><span>) prediction can provide critical information for urban hydrological management strategies such as flood mitigation, long-term water resources management, land use planning and agricultural and irrigation operations. Since the mid-20th century, Artificial Intelligence (AI) models have been used in a wide range of engineering and scientific fields, and their application has increased in the last few years. In this study, the predictive capabilities of the reduced error pruning tree (REPT) model, used both as a standalone model and within five ensemble-approaches, were evaluated to predict streamflow in the Kurkursar basin in Iran. The ensemble-approaches combined the REPT model with the bootstrap aggregation (BA), random committee (RC), random subspace (RS), additive regression (AR) and disjoint aggregating (DA) (i.e. BA-REPT, RC-REPT, RS-REPT, AR-REPT and DA-REPT). The models were developed using 15 years of daily rainfall and streamflow data for the period 23 September 1997 to 22 September 2012. A set of eight different input scenarios was constructed using different combinations of the input variables to find the most effective scenario based on the linear correlation coefficient. A comprehensive suite of graphical (time-variation graph, scatter-plot, violin plot and Taylor diagram) and quantitative metrics (root mean square error (RMSE), mean absolute error (MAE), Nash-Sutcliff efficiency (NSE), Percent of BIAS (PBIAS) and the ratio of RMSE to the standard deviation of observation (RSR)) was applied to evaluate the prediction accuracy of the six models developed. The outcomes indicated that all models performed well but the AR-REPT outperformed all the other models by rendering lower errors and higher precision across a number of statistical measures. The use of the BA, RC, RS, AR and DA models enhanced the performance of the standalone REPT model by about 26.82%, 18.91%, 7.69%, 28.99% and 28.05% respectively.</span></p></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"39 ","pages":"Pages 81-91"},"PeriodicalIF":2.8,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43089837","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: 8

Improvement of rainwater infiltration and storage capacity by an enhanced seepage well: From laboratory investigation to HYDRUS-2D numerical analysis 改进渗水井提高雨水渗透和储存能力——从实验室调查到HYDRUS-2D数值分析

IF 2.8 3区环境科学与生态学

Journal of Hydro-environment Research Pub Date : 2021-11-01 DOI: 10.1016/j.jher.2021.10.001

Zhiqiang Zhang , Zijian Wang , Sheping Wang , Yanping Ding , Zhiming Yuan , Jinsuo Lu

{"title":"Improvement of rainwater infiltration and storage capacity by an enhanced seepage well: From laboratory investigation to HYDRUS-2D numerical analysis","authors":"Zhiqiang Zhang , Zijian Wang , Sheping Wang , Yanping Ding , Zhiming Yuan , Jinsuo Lu","doi":"10.1016/j.jher.2021.10.001","DOIUrl":"10.1016/j.jher.2021.10.001","url":null,"abstract":"<div><p>Seepage well is an emerging Low Impact Development (LID) technology that can effectively control the storm runoff. However, its rainwater infiltration rate and storage capacity still require further enhancement. By setting a horizontal infiltration structure at the bottom of conventional rainwater seepage well (CSW), an enhanced seepage well (ESW) was proposed in this study, and its infiltration performances compared with the permeable pavement (PP) and the CSW were systemically investigated using static infiltration experiment and HYDRUS-2D simulation. The results showed that the infiltration efficiency of ESW was significantly higher than that of PP and CSW, and the process of water infiltrated through soil mainly controlled the macroscopic infiltration rate. The Nash-Sutcliff Efficient (NSE) index was used to evaluate the accuracy and reliability of the HYDRUS-2D model, and the results of NSE values greater than 0.75 (varied between 0.75 and 0.91) confirmed the applicability of HYDRUS-2D to describe correctly the hydraulic behavior of the ESW system. Simulation infiltration tests showed that the ESW performed a higher average infiltration rate and fewer total runoff volume than the CSW, indicating the effectively enhancement of the infiltration and water retention capacity of ESW, especially under heavy rainfall intensities. Additionally, the ESW system exhibited an excellent runoff-control and rainwater retention capacity in an actual rainfall scenario.</p></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"39 ","pages":"Pages 15-24"},"PeriodicalIF":2.8,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41983773","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

Prediction of lead concentration in random daytime (RDT) samples of high rise buildings by coupled 3D-1D modeling 基于耦合3D-1D模型的高层建筑日间随机样本铅浓度预测

IF 2.8 3区环境科学与生态学

Journal of Hydro-environment Research Pub Date : 2021-11-01 DOI: 10.1016/j.jher.2021.09.003

Lu Chang , K.W. Choi , Joseph H.W. Lee , K.Y.T. Kwok

{"title":"Prediction of lead concentration in random daytime (RDT) samples of high rise buildings by coupled 3D-1D modeling","authors":"Lu Chang , K.W. Choi , Joseph H.W. Lee , K.Y.T. Kwok","doi":"10.1016/j.jher.2021.09.003","DOIUrl":"10.1016/j.jher.2021.09.003","url":null,"abstract":"<div><p>The drinking water supply system in many high rise buildings in densely populated cities consists of a complex labyrinth of copper pipes and brass fixtures (valves, meters, couplings). Lead contamination in these non-lead pipe systems can occur due to the presence of lead-soldered connections, and lead containing brass fixtures. The prediction of lead concentration characteristics of random daytime (RDT) samples in these high rise buildings has hitherto not been studied. The stochastic variation of lead concentration of RDT samples is studied by a coupling of 3-D and 1-D models and the Monte-Carlo Method. A 3-dimensional CFD model based on an equilibrium concentration (<span><math><mrow><msub><mrow><mi>E</mi></mrow><mrow><mn>0</mn></mrow></msub></mrow></math></span>) approach is used to simulate the leaching process from different lead sources. With the calibrated <span><math><mrow><msub><mrow><mi>E</mi></mrow><mrow><mn>0</mn></mrow></msub></mrow></math></span> for different materials obtained from leaching experiments, the lead source strengths of leaded components in a water supply chain can be predicted by the 3D model as a function of stagnation time. Using the predicted distributed lead sources, the transport and mixing of lead in the turbulent pipe flow can be accurately simulated by a 1D advection–diffusion model. Using the Monte-Carlo method, a large number of simulations of consumer tap water Pb concentrations is performed using randomly sampled stagnation time, inter-use time, and flushing time. The computations are performed for two representative prototypes: (i) a full scale lead contaminated water supply chain; and (ii) a chain with only clean pipes and brass fixtures. The effect of stagnation time and flushing time before water use on tap Pb levels are investigated. The predicted range and distribution of RDT sample concentrations are validated by a three-year field data set (2017–2020) of the Hong Kong Water Supplies Department.</p></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"39 ","pages":"Pages 25-38"},"PeriodicalIF":2.8,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46148271","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

Flood risk assessment in vegetated lower Asahi River of Okayama Prefecture in Japan using airborne topo-bathymetric LiDAR and depth-averaged flow model 基于机载地形测深激光雷达和深度平均流量模型的日本冈山县旭河下游植被洪水风险评估

IF 2.8 3区环境科学与生态学

Journal of Hydro-environment Research Pub Date : 2021-11-01 DOI: 10.1016/j.jher.2021.06.005

Keisuke Yoshida , Kimihisa Nagata , Shiro Maeno , Koji Mano , Shinya Nigo , Satoshi Nishiyama , Md. Touhidul Islam

{"title":"Flood risk assessment in vegetated lower Asahi River of Okayama Prefecture in Japan using airborne topo-bathymetric LiDAR and depth-averaged flow model","authors":"Keisuke Yoshida , Kimihisa Nagata , Shiro Maeno , Koji Mano , Shinya Nigo , Satoshi Nishiyama , Md. Touhidul Islam","doi":"10.1016/j.jher.2021.06.005","DOIUrl":"10.1016/j.jher.2021.06.005","url":null,"abstract":"<div><p>This paper describes application of airborne LiDAR bathymetry (ALB) with near-infrared and green pulsed lasers for gathering distributed vegetation conditions and topo-bathymetric data for rivers. For the lower Asahi River of Okayama Prefecture in Japan, the ALB data validity was verified using field observation data. This study also examined the applicability of ALB data for numerical simulations of the lower Asahi River flooding in early July 2018 in Japan, comparing simulated and observed data. Results demonstrated that the methodology for this study works well for parameterization of distributed vegetation on a reach scale. This study also applied numerical tests to investigate the effects of vegetation establishment on flood control plans for the lower Asahi River using parameters validated for flood flow simulations. Results demonstrate that the predicted water level markedly exceeds the high water level because of thick vegetation presently established along few-kilometer-long upstream sections of the targeted river reach. Therefore, we conclude that the present findings can support cost-effective management tasks for vegetated rivers.</p></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"39 ","pages":"Pages 39-59"},"PeriodicalIF":2.8,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46746522","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: 4

Piping fish over dams 用管道把鱼放过水坝

IF 2.8 3区环境科学与生态学

Journal of Hydro-environment Research Pub Date : 2021-11-01 DOI: 10.1016/j.jher.2021.07.002

William L. Peirson , John H. Harris , Richard T. Kingsford , Xi Mao , Stefan Felder

引用次数: 5

Design of optimal environmental flow regime at downstream of reservoirs using wetted perimeter-optimization method 用湿周优化方法设计水库下游的最优环境流态

IF 2.8 3区环境科学与生态学

Journal of Hydro-environment Research Pub Date : 2021-11-01 DOI: 10.1016/j.jher.2021.09.001

Mahdi Sedighkia , Bithin Datta , Asghar Abdoli

{"title":"Design of optimal environmental flow regime at downstream of reservoirs using wetted perimeter-optimization method","authors":"Mahdi Sedighkia , Bithin Datta , Asghar Abdoli","doi":"10.1016/j.jher.2021.09.001","DOIUrl":"10.1016/j.jher.2021.09.001","url":null,"abstract":"<div><p>Conflict between water demand and environmental flow requirements is a challenging aspect in the reservoir management. Hence, optimizing environmental flow regime is one of the most important tasks at downstream of the large dams. The present study proposes a coupled simulation–optimization method based on the wetted perimeter method as an assessment method of the environmental flow and optimization of the reservoir operation to minimize difference between habitat loss and water demand loss using different metaheuristic algorithms. Moreover, the fuzzy TOPSIS as the decision-making system was applied for ranking the optimization algorithms. Indices including reliability index, vulnerability index, root mean square error and mean absolute error were utilized as criteria to measure the system performance and to select the best algorithm. Based on the results, gravity search algorithm (GSA) was the best method to optimize environmental flow regime at downstream of the reservoir in the case study. The proposed method is able to optimize environmental flow to minimize conflicts between human’s needs and aquatic’s needs considering storage constraints in the reservoir management. The proposed method might minimize negotiations between environmental managers and stakeholders. Furthermore, it should be noted that original wetted perimeter method is not able to provide optimal environmental flow regime based on a balance between users and constraints in the reservoir management such as storage constraints. The proposed method converts wetted perimeter method from an assessment method to a simulation–optimization method for optimizing environmental flow at downstream of the reservoirs.</p></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"39 ","pages":"Pages 1-14"},"PeriodicalIF":2.8,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49600293","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: 4

Surface wave measurements with IoT image processing 物联网图像处理的表面波测量

IF 2.8 3区环境科学与生态学

Journal of Hydro-environment Research Pub Date : 2021-11-01 DOI: 10.1016/j.jher.2021.07.001

Yuying Wei , Dharma Sree , Chun Yang , Adrian Wing-Keung Law

{"title":"Surface wave measurements with IoT image processing","authors":"Yuying Wei , Dharma Sree , Chun Yang , Adrian Wing-Keung Law","doi":"10.1016/j.jher.2021.07.001","DOIUrl":"10.1016/j.jher.2021.07.001","url":null,"abstract":"<div><p>This study develops two different approaches to perform temporal and spatial measurements of surface wave profile for experimental studies in transparent wave flumes. Both are based on image acquisition and processing with an Internet of Things (IoT) system consisting of three sets of GoPro camera cum Raspberry<span> Pi connected wirelessly together in a local LAN. The first approach uses advanced edge algorithms with perspective transformation of the multiple cameras for the detection, while the second approach adopts Convolutional Neural Network (CNN) algorithms instead with training of the processed image data using information from additional discrete probes installed. Their accuracy is assessed under a range of experimental conditions of regular and irregular waves with different wave heights and periods, based on metrics that consist of the average errors of the predicted water surface profile as well as position errors for wave crests and troughs. The effects on the measurement accuracy due to the image acquisition frequency, camera resolution and camera location are also investigated. The results show that higher wave steepnesses generally lead to larger detection errors, and measurements for irregular waves are also more challenging. In addition, positioning the cameras closer to the wave flume sidewalls yields better detection results as expected, particularly in resolving wave crests and troughs, although the field of view narrows at the same time. However, higher video frequencies and camera resolutions might not necessarily improve the accuracy contrary to common expectation due to jaggedness in the image processing. Overall, both approaches are shown to be viable for the measurement of wave profile in the laboratory. The first approach is more straight forward in terms of implementation, and it performs well for regular wave conditions. The second approach requires more complex training of the neural networks, but its accuracy is significantly higher particularly for irregular waves.</span></p></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"39 ","pages":"Pages 60-70"},"PeriodicalIF":2.8,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49305176","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

Using CANARY event detection software for water quality analysis in the Milwaukee River 使用CANARY事件检测软件对密尔沃基河进行水质分析

IF 2.8 3区环境科学与生态学

Journal of Hydro-environment Research Pub Date : 2021-09-01 DOI: 10.1016/j.jher.2021.06.003

Nabila Nafsin, Jin Li

{"title":"Using CANARY event detection software for water quality analysis in the Milwaukee River","authors":"Nabila Nafsin, Jin Li","doi":"10.1016/j.jher.2021.06.003","DOIUrl":"10.1016/j.jher.2021.06.003","url":null,"abstract":"<div><p>Urban water sources are susceptible to various contamination events as a result of natural, accidental, and human-induced occurrences. An early warning monitoring system provides timely information on changes in urban water quality. In this study, an analysis was made with CANARY event detection software (EDS) to monitor water quality parameters in river water and to identify the onset of anomalous water quality periods. Water quality signals including pH, conductivity, and turbidity from the Milwaukee River over specified periods during the summer season of 2018–2020 were employed as inputs to event detection algorithms in CANARY. The data analysis results show that CANARY can be useful as an early warning system for monitoring contamination in urban water sources and help to identify abnormal conditions quickly. The sensibility of the model relies on optimizing the configuration parameters, which involves selecting the ideal set of parameters for the event detection algorithm and adjusting the BED parameters to increase or decrease the probability of generating an alarm. The number of events reported between the Linear Prediction Correction Filter (LPCF) and Multivariate Nearest Neighbor (MVNN) algorithms varied as a result of different residual calculation mechanisms. Climate factors that contributed to the abnormal water quality events in the river were examined. The analysis of rainfall on water quality was carried out using a statistical method by determining whether there is a significant difference (p-value) between the seasonal mean water quality data and the mean value of water parameters during the sampling duration. Regression analysis was also performed to estimate the best model that describes the relationship between each of the water quality parameters and temperature.</p></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"38 ","pages":"Pages 117-128"},"PeriodicalIF":2.8,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41790039","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: 5