HydroResearch最新文献_第7页

Revisit hydrological modeling in ungauged catchments comparing regionalization, satellite observations, and machine learning approaches 回顾未测量集水区的水文建模，比较区划、卫星观测和机器学习方法

HydroResearch Pub Date : 2024-01-01 Epub Date: 2023-11-28 DOI: 10.1016/j.hydres.2023.11.001

Rijurekha Dasgupta, Subhasish Das, Gourab Banerjee, Asis Mazumdar

{"title":"Revisit hydrological modeling in ungauged catchments comparing regionalization, satellite observations, and machine learning approaches","authors":"Rijurekha Dasgupta, Subhasish Das, Gourab Banerjee, Asis Mazumdar","doi":"10.1016/j.hydres.2023.11.001","DOIUrl":"https://doi.org/10.1016/j.hydres.2023.11.001","url":null,"abstract":"<div><p>Understanding hydrological processes is achieved using modeling approaches due to the extensive and complex interactions between various environmental elements. Hydrological modeling is based on empirical equations that require parameter calibration and model validation to improve performance and evaluate results. This process requires the implementation of absent or lacking data in many ungauged catchments. Therefore, Hydrological Modeling in Ungauged Catchments (HMUC) is an important research area in hydrology. Many researchers tried to develop appropriate technology for this purpose. This review article describes regionalization, satellite observation and machine learning based technologies used for this purpose and presents relevant issues. Key studies worldwide using regionalization, satellite observations and machine learning approaches to develop HMUC have been reviewed here. This study promotes research on HMUC by describing the performances of these methods in different climatic, and geographic conditions. It identifies potential application limitations to guide the framing of future requirements and opportunities for HMUC.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 15-31"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757823000331/pdfft?md5=e06eb11b139cb5d297e0cc16f00ac58c&pid=1-s2.0-S2589757823000331-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138474842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Indicators of riverbank Erosion vulnerability assessment: A systematic literature review for future research 河岸侵蚀脆弱性评估指标：未来研究的系统文献综述

HydroResearch Pub Date : 2024-01-01 Epub Date: 2024-06-12 DOI: 10.1016/j.hydres.2024.06.002

Neegar Sultana, Sagorika Rani Paul

{"title":"Indicators of riverbank Erosion vulnerability assessment: A systematic literature review for future research","authors":"Neegar Sultana, Sagorika Rani Paul","doi":"10.1016/j.hydres.2024.06.002","DOIUrl":"10.1016/j.hydres.2024.06.002","url":null,"abstract":"<div><p>Despite the devastating nature of riverbank erosion, existing studies hardly address the complex nature of vulnerability affecting the livelihoods of erosion-prone residents. Hence, the indicators of riverbank erosion vulnerability need to be reviewed and aggregated within a specified framework to assess the vulnerability. This research performed a comprehensive literature review of the indicators of riverbank erosion vulnerability to address this knowledge gap. From 2000 to 2022, 22 journal articles were found using the PRISMA protocol. The review revealed that most studies were conducted in South Asia (82%), such as Bangladesh, India, and Nepal, and on local scales (68%), such as sub-districts, villages, unions etc. The analysis also highlighted the IPCC vulnerability framework is the most extensively used for riverbank erosion. The study identified a total of 28 vulnerability indicators of riverbank erosion. The findings reveal that there are substantial geographical and conceptual gaps in the assessment of riverbank erosion vulnerability.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 337-359"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000210/pdfft?md5=52e8e575f091abd7f6fc83a40cdfb57f&pid=1-s2.0-S2589757824000210-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141392905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of trophic state conditions in the three urban perennial lakes of the Coimbatore district, Tamil Nadu: Based on water quality parameters and rotifer composition 泰米尔纳德邦哥印拜陀地区三个城市常年湖泊的营养状态评估：基于水质参数和轮虫组成

HydroResearch Pub Date : 2024-01-01 Epub Date: 2024-06-28 DOI: 10.1016/j.hydres.2024.06.003

Bala Mohan, Duraisamy Prabha

{"title":"Evaluation of trophic state conditions in the three urban perennial lakes of the Coimbatore district, Tamil Nadu: Based on water quality parameters and rotifer composition","authors":"Bala Mohan, Duraisamy Prabha","doi":"10.1016/j.hydres.2024.06.003","DOIUrl":"https://doi.org/10.1016/j.hydres.2024.06.003","url":null,"abstract":"<div><p>This study aims to examine the trophic state conditions in the three major urban perennial lakes of the Coimbatore district based on the physicochemical properties and rotifer community structure. The study was conducted for a period of three months, from January 2023 to March 2023. The water and plankton samples were collected twice a month. The measured physicochemical properties showed that pH, salinity, total hardness, nitrate, and phosphate were found to be higher in Kumarasamy lake, followed by Ukkadam and Valankulam lake ecosystems. The higher rotifer population density was observed in Valankulam lake (1820 Ind./L), and lower in Kumarasamy lake (1080 Ind./L). In this study, Brachionidae species were abundantly found in the three perennial lake water environments, followed by Asplanchnidae, Lecanidae, Trichocercidae, and Filiniidae. In addition, a total of 28 freshwater rotifer species were reported for the first time from the three perennial lakes of the Coimbatore district, respectively. The determined trophic state index (TSI) (47.57) and rotifer trophic state index (TSI<sub>ROT</sub>) (51.25) values affirm that the three perennial lakes are under meso-eutrophic conditions. The examined diversity indices values revealed that species dominance (D) and species richness (SR) are higher in Valankulam lake, followed by Ukkadam and Kumaraswamy lake ecosystems. This difference may be due to the influence of human activities and the mixing of various points and non-point sources of pollutants. The present study concluded that the three perennial lakes were moderately polluted by various sources of pollutants; therefore, continuous monitoring is needed for the conservation of flora and fauna diversity in the three perennial lakes of the Coimbatore district.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 360-371"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000222/pdfft?md5=a8188df6e412e8c551a4616cb071e5bc&pid=1-s2.0-S2589757824000222-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141540929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Daily flow discharge prediction using integrated methodology based on LSTM models: Case study in Brahmani-Baitarani basin 使用基于 LSTM 模型的综合方法预测日流量：Brahmani-Baitarani 流域案例研究

HydroResearch Pub Date : 2024-01-01 Epub Date: 2024-04-30 DOI: 10.1016/j.hydres.2024.04.006

Abinash Sahoo , Swayamshu Satyapragnya Parida , Sandeep Samantaray , Deba Prakash Satapathy

{"title":"Daily flow discharge prediction using integrated methodology based on LSTM models: Case study in Brahmani-Baitarani basin","authors":"Abinash Sahoo , Swayamshu Satyapragnya Parida , Sandeep Samantaray , Deba Prakash Satapathy","doi":"10.1016/j.hydres.2024.04.006","DOIUrl":"https://doi.org/10.1016/j.hydres.2024.04.006","url":null,"abstract":"<div><p>For flood control, hydropower operation, and agricultural planning, among other applications, flow discharge prediction is a critical first step toward the strong and dependable planning and management of water resources. Floods are destructive natural calamities that destroy human lives and infrastructure across the world. Development of effective flood forecasting and prediction models is critical for minimising deaths and mitigating damages. This study employs hybrid deep learning Long Short Term Memory (LSTM) algorithms like LSTM, Convolution LSTM (Conv-LSTM) and Convolutional Neural Network LSTM (CNN-LSTM) to predict likelihood flood events using daily precipitation, daily temperature and daily relative humidity from two flood-forecasting stations i.e., Champua (Baitarani River, Odisha) and Jarikela (Brahmani River, Odisha) over a 20-year period. The results show that CNN-LSTM performed best followed by Conv-LSTM and LSTM in terms of R<sup>2</sup> = 0.98055, 0.96564, and 0.93244, RMSE = 19.137, 35.635, and 49.347, MAE = 18.372, 33.766, and 47.058, NSE = 0.971, 0.9517 and 0.9257 respectively. The findings support the claim that machine learning models and algorithms, in particular CNN-LSTM model, can be applied to flood forecasting with high accuracy, thereby enhancing water and hazard management.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 272-284"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000167/pdfft?md5=877f227a2a194f80c8c9d584ef048e10&pid=1-s2.0-S2589757824000167-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140894456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Potentialities and development of groundwater resources applying machine learning models in the extended section of Manbhum-Singhbhum Plateau, India 应用机器学习模型在印度manbhumm - singhbhum高原扩展段研究地下水资源的潜力和开发

HydroResearch Pub Date : 2024-01-01 Epub Date: 2023-11-23 DOI: 10.1016/j.hydres.2023.11.002

Arijit Ghosh, Biswajit Bera

{"title":"Potentialities and development of groundwater resources applying machine learning models in the extended section of Manbhum-Singhbhum Plateau, India","authors":"Arijit Ghosh, Biswajit Bera","doi":"10.1016/j.hydres.2023.11.002","DOIUrl":"https://doi.org/10.1016/j.hydres.2023.11.002","url":null,"abstract":"<div><p>Groundwater is essential for living earth including ecosystem functioning and development of society worldwide. In recent times, demand and pressure on groundwater resources are progressively increasing over time. Thus, the assessment and management of groundwater resources particularly in semi-arid region are very much crucial. Therefore, the principal objective of the present study is to categorize the groundwater potential areas using advanced machine learning (ML) approaches. In this study, random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBoost) algorithms have been applied. The accuracy of each model has been estimated using the receiver operating characteristics (ROC) curve. About 60.63%, 65.39%, and 53.75% of areas come under moderate to very low groundwater potential. XGBoost indicates the highest predictive capacity (AUC 0.97). The innovation of this study lies in the combination of hydrological, topographical and geological datasets into machine learning platform. This research will support water resource management worldwide.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"7 ","pages":"Pages 1-14"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S258975782300032X/pdfft?md5=d1eb7fa7eb87a5a54b53400f9ff4c01d&pid=1-s2.0-S258975782300032X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138474841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of bivariate approaches for flood susceptibility mapping: a district level study in Eastern India 双变量方法在洪水易感性制图中的应用:印度东部地区一级的研究

HydroResearch Pub Date : 2023-01-01 Epub Date: 2023-03-01 DOI: 10.1016/j.hydres.2023.02.004

Madhurima Dutta , Sunil Saha , Nur Islam Saikh , Debabrata Sarkar , Prolay Mondal

引用次数: 4

Examining the impacts of climate variabilities and land use change on hydrological responses of Awash River basin, Ethiopia 气候变化和土地利用变化对埃塞俄比亚阿瓦什河流域水文响应的影响

HydroResearch Pub Date : 2023-01-01 Epub Date: 2022-12-21 DOI: 10.1016/j.hydres.2022.12.002

Addisalem Bitew Mitiku, Gebreyohannes Abrha Meresa, Tewodros Mulu, Abel Tadesse Woldemichael

引用次数: 7

Erratum regarding missing Declaration of Competing Interest statements in previously published articles 关于先前发表的文章中缺少竞争利益声明的勘误表

HydroResearch Pub Date : 2023-01-01 Epub Date: 2023-05-18 DOI: 10.1016/j.hydres.2023.03.003

引用次数: 0

Removal of arsenic in a sand filter coupled with zero valent iron 零价铁耦合砂过滤器中砷的去除

HydroResearch Pub Date : 2023-01-01 Epub Date: 2023-06-22 DOI: 10.1016/j.hydres.2023.06.002

Daniel Edward , Petro Karungamye , Grite Nelson , Juma Selemani , Karoli N. Njau

{"title":"Removal of arsenic in a sand filter coupled with zero valent iron","authors":"Daniel Edward , Petro Karungamye , Grite Nelson , Juma Selemani , Karoli N. Njau","doi":"10.1016/j.hydres.2023.06.002","DOIUrl":"https://doi.org/10.1016/j.hydres.2023.06.002","url":null,"abstract":"<div><p>Arsenic (As) in wastewater has negative effects on the environment and human health, hence As containing wastes must be handled properly. Given the accessibility of metallic iron, studies investigating into the potential application of zerovalent iron in the removal of arsenic are promising. In this study, the performance of sand filter blended with several kinds of zero valent iron (Fe<sup>0</sup>), such as iron wool, iron fillings, and iron nails, were compared. These materials were combined in a sand filter column, and the efficiency was calculated using the As concentrations in the influent and effluent samples. Experiments were carried out in order to compare performance as a function of Fe<sup>0</sup> dose and contact time. The outcome of this investigation showed that sand filter containing iron wool had a better removal efficiency of arsenic removal than iron filings and iron nails. The results in all columns showed that as dosage was increased, removal efficiency of arsenic increased significantly. In case of contact time the results revealed that arsenic can effectively be removed from water in the first 48 h. The early adsorption response is quick in all columns, but get slower as time goes on. The highest removal efficiency was 99.6% and the lowest removal efficiency was 82.7%.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"6 ","pages":"Pages 228-234"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49878866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The removal of ciprofloxacin from synthetic wastewater in constructed wetland 人工湿地对合成废水中环丙沙星的去除研究

HydroResearch Pub Date : 2023-01-01 Epub Date: 2023-04-08 DOI: 10.1016/j.hydres.2023.04.001

Petro Karungamye , Anita Rugaika , Kelvin Mtei , Revocatus Machunda

{"title":"The removal of ciprofloxacin from synthetic wastewater in constructed wetland","authors":"Petro Karungamye , Anita Rugaika , Kelvin Mtei , Revocatus Machunda","doi":"10.1016/j.hydres.2023.04.001","DOIUrl":"https://doi.org/10.1016/j.hydres.2023.04.001","url":null,"abstract":"<div><p>Considering the health effects of antibiotics in the environment, effective monitoring and treatment technologies are needed to mitigate social and environmental impacts. The present study was carried out to investigate the efficiency of the constructed wetland (CW) on the removal of Ciprofloxacin (CIP) from aqueous samples. Experiments were conducted in pilot scale CWs planted with single plants of <em>Cyperus alternifolius</em>, <em>Canna indica</em> and one planted with both plant species. Analysis of CIP concentrations in the influent and effluent samples was done using Cary 60 UV–Vis spectrophotometer, while physical-chemical parameters were monitored for the influent and effluent samples. The removal efficiency of physico-chemical parameters was ˃70% for Nitrate, ˃60% for Phosphate, ˃70% for BOD and ˃77% for COD. The maximum removal of CIP (77.1%) was observed in CW planted with <em>Cyperus alternifolius</em> during a 7 days hydraulic retention time (HRT). The results of this study show superior performance of <em>Cyperus alternifolius</em> than <em>Canna indica</em>. There was no significance difference (<em>p</em> > 0.05) produced by mixing the two plants in a CW. However, mixing of plants especially ornamental plants in CWs brings good visual impression of the systems while treating the wastewater. This study demonstrate that CW can remove antibiotics from wastewater. The best performance depends on best selection and best combination of the plants.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"6 ","pages":"Pages 138-146"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49878865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2