Water Resources Management最新文献_第10页

Improving Linear Interpolation of Missing Hydrological Data by Applying Integrated Autoregressive Models 应用综合自回归模型改进水文数据缺失的线性插值

3区环境科学与生态学

Water Resources Management Pub Date : 2023-10-03 DOI: 10.1007/s11269-023-03625-7

Tomasz Niedzielski, Michał Halicki

{"title":"Improving Linear Interpolation of Missing Hydrological Data by Applying Integrated Autoregressive Models","authors":"Tomasz Niedzielski, Michał Halicki","doi":"10.1007/s11269-023-03625-7","DOIUrl":"https://doi.org/10.1007/s11269-023-03625-7","url":null,"abstract":"Abstract The application of linear interpolation for handling missing hydrological data is unequivocal. On one hand, such an approach offers good reconstruction in the vicinity of last observation before a no-data gap and first measurement after the gap. On the other hand, it omits irregular variability of hydrological data. Such an irregularity can be described by time series models, such as for instance the autoregressive integrated moving average (ARIMA) model. Herein, we propose a method which combines linear interpolation with autoregressive integrated model (ARI, i.e. ARIMA without a moving average part), named LinAR (available at GitHub), as a tool for inputing hydrological data. Linear interpolation is combined with the ARI model through linear scaling the ARI-based prediction issued for the no-data gap. Such an approach contributes to the current state of art in gap-filling methods since it removes artificial jumps between last stochastic prediction and first known observation after the gap, also introducing some irregular variability in the first part of the no-data gap. The LinAR method is applied and evaluated on hourly water level data collected between 2016 and 2021 (52,608 hourly steps) from 28 gauges strategically located within the Odra/Oder River basin in southwestern and western Poland. The data was sourced from Institute of Meteorology and Water Management (Poland). Evaluating the performance with over 100 million assessments in the validation experiment, the study demonstrates that the LinAR approach outperforms the purely linear method, especially for short no-data gaps (up to 12 hourly steps) and for rivers of considerable size. Based on rigorous statistical analysis of root mean square error (RMSE) – expressed (1) absolutely, (2) as percentages and (3) using RMSE error bars – the percentage improvement, understood as percentage difference between RMSE of linear and LinAR interpolations, was found to reach up to 10%.","PeriodicalId":23611,"journal":{"name":"Water Resources Management","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135695755","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

Investigating the Effect of Spatial and Temporal Variabilities of Rainfall on Catchment Response 降雨时空变化对流域响应的影响研究

3区环境科学与生态学

Water Resources Management Pub Date : 2023-09-30 DOI: 10.1007/s11269-023-03610-0

Pardis Ziaee, Mohammad Javad Abedini

引用次数: 0

The Influence of Industrial Pulling Effect on the Coordinated Development of China’s Water Resources and Economic System 产业拉动效应对中国水资源与经济系统协调发展的影响

3区环境科学与生态学

Water Resources Management Pub Date : 2023-09-30 DOI: 10.1007/s11269-023-03607-9

Jingwei Zheng, Caizhi Sun

引用次数: 0

Benchmarking the Performance of Productive Units Using Cross-Efficiency Techniques: An Empirical Approach for Water Companies 使用交叉效率技术对生产单位绩效进行基准测试:水务公司的经验方法

3区环境科学与生态学

Water Resources Management Pub Date : 2023-09-30 DOI: 10.1007/s11269-023-03614-w

Ramon Sala-Garrido, Manuel Mocholi-Arce, Maria Molinos-Senante, Michail Smyrnakis, Alexandros Maziotis

引用次数: 0

Rainwater and Greywater as Alternative Water Resources: Public Perception and Acceptability. Case Study in Twelve Countries in the World 雨水和灰水作为替代水资源:公众认知和可接受性。世界上12个国家的案例研究

3区环境科学与生态学

Water Resources Management Pub Date : 2023-09-30 DOI: 10.1007/s11269-023-03594-x

Agnieszka Stec

{"title":"Rainwater and Greywater as Alternative Water Resources: Public Perception and Acceptability. Case Study in Twelve Countries in the World","authors":"Agnieszka Stec","doi":"10.1007/s11269-023-03594-x","DOIUrl":"https://doi.org/10.1007/s11269-023-03594-x","url":null,"abstract":"Abstract The aim of the paper was to identify factors that influence the public perception of the possibility of replacing tap water with rainwater or greywater. In order to check whether a geographical location and water resources of a region affect the public's attitude toward alternative water systems, the surveys were carried out among respondents from twelve countries. The surveys identified the level of awareness among respondents about their country's water resources, ways to save water at home, and their attitudes to rainwater and greywater as additional sources of water in a building. The results showed that only 39% of respondents would not be afraid to use treated greywater in their household. The situation was better in case of replacement of tap water with rainwater, where more than 54% of the respondents were not concerned. The use of alternative sources of water for body washing and cleaning works was the biggest concern among the respondents. In case of greywater recycling, this was indicated by 56% (personal hygiene) and 34% (cleaning works) of respondents. People in the countries with low water resources view alternative water sources more favourably. They are also more aware of, and more likely to accept the use of rainwater or greywater even in uses where they will come into contact with the human body. The research also showed that for more than 3/4 of respondents, funding to install these systems would encourage their use in their household.","PeriodicalId":23611,"journal":{"name":"Water Resources Management","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136341246","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 Multi-stage Stochastic Approach for Statistical Downscaling of Rainfall 降雨统计降尺度的多阶段随机方法

3区环境科学与生态学

Water Resources Management Pub Date : 2023-09-27 DOI: 10.1007/s11269-023-03615-9

Jose George, Athira P.

引用次数: 0

Initial Investigation of Wave Interactions During Simultaneous Valve Closures in Hydraulic Piping Systems 液压管路系统阀门同时关闭过程中波动相互作用的初步研究

3区环境科学与生态学

Water Resources Management Pub Date : 2023-09-26 DOI: 10.1007/s11269-023-03597-8

Kamil Urbanowicz, Igor Haluch, Anton Bergant, Adam Deptuła, Paweł Śliwiński

{"title":"Initial Investigation of Wave Interactions During Simultaneous Valve Closures in Hydraulic Piping Systems","authors":"Kamil Urbanowicz, Igor Haluch, Anton Bergant, Adam Deptuła, Paweł Śliwiński","doi":"10.1007/s11269-023-03597-8","DOIUrl":"https://doi.org/10.1007/s11269-023-03597-8","url":null,"abstract":"Abstract The effects of interference of pressure waves in simple piping systems were studied. A freeware computer code Allievi developed at the University of Valencia was used to simulate dynamic waveforms in simple and complex networks. The tests were carried out according to three scenarios. No pressure increases significantly exceeding the Joukowsky pressure in simple cases were noticed. When the effects of the simultaneous closing of three valves located at the three pressure reservoirs with pipes of the same diameter connected at \"Y\" junction were tested, it was shown that wave interference (between primary and reflected waves) is influenced strongly by the length of the analyzed pipes. Additionally, when a change of diameter was assumed at the \"Y\" junction, secondary waves appear, which are responsible for increased pressure in this type of the system (even when the lengths of the lines are identical). Water supply pipe systems are subject to cyclical loads and wave interference of similar types even during standard operations, that’s why the understanding of this issue is crucial to effectively protect the systems from the risk of possible cracks, bursts, and leaks.","PeriodicalId":23611,"journal":{"name":"Water Resources Management","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134886152","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

Effects of Precipitation Concentration and Human Activities On City Runoff Changes 降水浓度和人类活动对城市径流变化的影响

3区环境科学与生态学

Water Resources Management Pub Date : 2023-09-23 DOI: 10.1007/s11269-023-03593-y

Cuimei Lv, Xinrui Wang, Minhua Ling, Wenjing Xu, Denghua Yan

引用次数: 0

Estimation of Mean Velocity Upstream and Downstream of a Bridge Model Using Metaheuristic Regression Methods 用元启发式回归方法估计桥梁模型上下游平均速度

3区环境科学与生态学

Water Resources Management Pub Date : 2023-09-22 DOI: 10.1007/s11269-023-03618-6

Ozgur Kisi, Mehmet Ardiçlioğlu, Arzu M. W. Hadi, Alban Kuriqi, Christoph Kulls

{"title":"Estimation of Mean Velocity Upstream and Downstream of a Bridge Model Using Metaheuristic Regression Methods","authors":"Ozgur Kisi, Mehmet Ardiçlioğlu, Arzu M. W. Hadi, Alban Kuriqi, Christoph Kulls","doi":"10.1007/s11269-023-03618-6","DOIUrl":"https://doi.org/10.1007/s11269-023-03618-6","url":null,"abstract":"Abstract This study compares four data-driven methods, Gaussian process regression (GPR), multivariate adaptive regression spline (MARS), M5 model tree (M5Tree), and multilinear regression (MLR), in estimating mean velocity upstream and downstream of bridges. Data were obtained through multiple experiments in a rectangular laboratory flume with glass walls 9.5 m long, 0.6 m wide, and 0.6 m deep. Four different bridge models were placed at the 6th meter of the channel to determine the average velocities upstream and downstream. Different data-driven models were implemented with different combinations of effective parameters as input. They were evaluated and compared using root mean square error (RMSE), mean absolute relative error (MARE), and Nash–Sutcliffe efficiency (NSE). The results showed that the MARS had the best efficiency in estimating the mean velocity upstream of the bridge model. At the same time, the M5Tree provided the highest performance in estimating the mean velocity downstream. The MARS method improved the estimation accuracy of GPR, M5Tree, and MLR in the test phase by 23.8%, 45.1%, and 47.4% concerning the RMSE at the upstream. The M5Tree provided better RMSE accuracy of 31.8%, 70.4%, and 75.5% at the downstream compared to MARS, GPR, and MLR, respectively. The study recommends the MARS and M5Tree for estimating mean velocities upstream and downstream of the bridge.","PeriodicalId":23611,"journal":{"name":"Water Resources Management","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136060004","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 Probability Model for Short-Term Streamflow Prediction Based on Multi-Resolution Data 基于多分辨率数据的短期流量预测概率模型

3区环境科学与生态学

Water Resources Management Pub Date : 2023-09-22 DOI: 10.1007/s11269-023-03620-y

Lili Wang, Zexia Li, Fuqiang Ye, Tongyang Liu

引用次数: 0