Hydrology Research最新文献_第6页

Development of an ice-jam flood forecasting modelling framework for freeze-up/winter breakup 结冰/冬季破裂的冰塞洪水预测建模框架的开发

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-04-13 DOI: 10.2166/nh.2023.073

A. Das, S. Budhathoki, K. Lindenschmidt

引用次数: 2

Evaluation of NEX-GDDP-CMIP6 in simulation performance and drought capture utility over China – based on DISO 基于DISO的nex - gdpp - cmip6在中国的模拟性能和干旱捕获效用评估

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-04-12 DOI: 10.2166/nh.2023.140

Fan Wu, Donglai Jiao, Xiaoli Yang, Zhouyu Cui, Hanshuo Zhang, Yuhang Wang

{"title":"Evaluation of NEX-GDDP-CMIP6 in simulation performance and drought capture utility over China – based on DISO","authors":"Fan Wu, Donglai Jiao, Xiaoli Yang, Zhouyu Cui, Hanshuo Zhang, Yuhang Wang","doi":"10.2166/nh.2023.140","DOIUrl":"https://doi.org/10.2166/nh.2023.140","url":null,"abstract":"\u0000 Global climate models (GCMs) are state-of-the-art tools for understanding climate change and predicting the future. However, little research has been reported on the latest NEX-GDDP-CMIP6 product in China. The purpose of this study was to evaluate the simulated performance and drought capture utility of the NEX-GDDP-CMIP6 over China. First, the simulation skills of the 16 GCMs in NEX-GDDP-CMIP6 were evaluated by the ‘DISO’ (Distance between Indices of Simulation and Observation), a big data evaluation method. Second, the DISO framework for drought identification was constructed by coupling the correlation coefficient (CC), false alarm rate (FAR) and probability of detection (POD). Then, it was combined with the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evaporation Index (SPEI) to evaluate the drought detection capability of NEX-GDDP-CMIP6. The result shows that (1) NEX-GDDP-CMIP6 can reproduce the spatial distribution pattern of historical precipitation and temperature, which performs well in simulating warming trends but fails to capture precipitation's fluctuation characteristics; (2) The best-performing model in precipitation is ACCESS-CM2 (DISO 1.630) and in temperature is CESM2 (DISO 3.246); (3) The multi-mode ensembles (16MME) perform better than the best single model, indicating that a multi-model ensemble can effectively reduce the uncertainty inherent in models. (4) The SPEI calculated by 16MME identifies drought well in arid, while the SPI is recommended for other climate classifications in China.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42469295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Change analysis of All India and regional rainfall data series at annual and monsoon scales 全年和季风尺度下全印度和区域降雨数据系列的变化分析

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-04-05 DOI: 10.2166/nh.2023.005

S. Jain, Chong-yu Xu, Yanlai Zhou

{"title":"Change analysis of All India and regional rainfall data series at annual and monsoon scales","authors":"S. Jain, Chong-yu Xu, Yanlai Zhou","doi":"10.2166/nh.2023.005","DOIUrl":"https://doi.org/10.2166/nh.2023.005","url":null,"abstract":"\u0000 Characteristics of rainfall are changing due to several reasons and change/trend detection is required. The literature survey reveals many relevant studies whose outcomes are divergent. A possible reason is that different data series have been used and different methodologies have been applied. This paper presents a critical appraisal of past studies and methodologies for trend analysis. Results of trend analysis of Indian rainfall data are presented. Data for all of India and for five homogenous regions (North-West, Central North-East, North-East, West Central, and Peninsular India) for 1871–2016 were used. The Pettitt change point test, regression, Mann–Kendall (MK), and Wavelet Decomposition were used to study different aspects of changes. Results of the change point test showed that most rainfall series had change points around 1957–65, possibly due to large-scale land use, cultivation, irrigation, and industrial changes in this period. Generally, rainfall for most homogenous regions and sub-divisions show falling trends; some are statistically significant. Series was also decomposed by the wavelet method. Approximate and detailed components of some decomposed series showed a significant declining trend. This work has focused on the magnitude of rainfalls; trends in rainfall intensities are also important. It is necessary to establish denser observation networks to collect short-term data and analyze.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43502010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Evaluation of hydraulic efficiency of lined irrigation channels – a case study from Punjab, Pakistan 衬砌灌溉渠道水力效率评价——以巴基斯坦旁遮普为例

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-04-04 DOI: 10.2166/nh.2023.105

G. Zakir, M. Kahlown, J. Punthakey, G. Shabir, M. Aziz, Muhammad Sultan, Hadeed Ashraf, Qurrat ul ain Nawaz, Faiz F. Majeed

{"title":"Evaluation of hydraulic efficiency of lined irrigation channels – a case study from Punjab, Pakistan","authors":"G. Zakir, M. Kahlown, J. Punthakey, G. Shabir, M. Aziz, Muhammad Sultan, Hadeed Ashraf, Qurrat ul ain Nawaz, Faiz F. Majeed","doi":"10.2166/nh.2023.105","DOIUrl":"https://doi.org/10.2166/nh.2023.105","url":null,"abstract":"\u0000 Indus Basin Irrigation System (IBIS) in Pakistan is the backbone of agriculture in the country. The IBIS provides irrigation support to agricultural lands across the country; however, hydraulic efficiency of the water conveyance system is impacted due to seepage losses. The lining of irrigation channels is considered a potential solution for improving hydraulic efficiency. Therefore, this study explores the impact of canal lining on the hydraulic efficiency of the canals in the Punjab province of Pakistan. Overall, 14 channels/distributaries/minors (total length 226 km) were monitored in terms of hydraulic performance in different irrigation zones. The hydraulic, geometrical, and socioeconomic parameters of channel/ distributaries/ minors including roughness coefficient, sediments, flow velocity, wetter perimeter, breaches, theft cases, bed, side slope, water surface profile, hydraulic radius, crop yield, and vegetation growth area have been experimentally observed. The obtained results have been compared with the design and pre-lining data. Ten seepage tests using the inflow–outflow method and eight seepage tests using the ponding method were conducted to estimate seepage losses. Results indicate that almost all the parameters varied from the design values. A detailed comparison of the socioeconomic parameters has been carried out. The reported results from the seepage tests show that approximately 78% reduction in losses.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42861437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Flash flood susceptibility mapping based on catchments using an improved Blending machine learning approach 基于改进混合机器学习方法的流域山洪易感性映射

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-03-31 DOI: 10.2166/nh.2023.139

Yongqiang Yin, Xiaoxiang Zhang, Zheng Guan, Yuehong Chen, Changjun Liu, Tao Yang

{"title":"Flash flood susceptibility mapping based on catchments using an improved Blending machine learning approach","authors":"Yongqiang Yin, Xiaoxiang Zhang, Zheng Guan, Yuehong Chen, Changjun Liu, Tao Yang","doi":"10.2166/nh.2023.139","DOIUrl":"https://doi.org/10.2166/nh.2023.139","url":null,"abstract":"\u0000 Flash floods are a frequent and highly destructive natural hazard in China. In order to prevent and manage these disasters, it is crucial for decision-makers to create GIS-based flash flood susceptibility maps. In this study, we present an improved Blending approach, RF-Blending (Reserve Feature Blending), which differs from the Blending approach in that it preserves the original feature dataset during meta-learner training. Our objectives were to demonstrate the performance improvement of the RF-Blending approach and to produce flash flood susceptibility maps for all catchments in Jiangxi Province using the RF-Blending approach. The Blending approach employs a double-layer structure consisting of support vector machine (SVM), K-nearest neighbor (KNN), and random forest (RF) as base learners for level-0, and the output of level-0 is utilized as the meta-feature dataset for the meta-learner in level-1, which is logistic regression (LR). RF-Blending employs the output of level-0 along with the original feature dataset for meta-learner training. To develop flood susceptibility maps, we utilized these approaches in conjunction with historical flash flood points and catchment-based factors. Our results indicate that the RF-Blending approach outperformed the other approaches. These can significantly aid catchment-based flash flood susceptibility mapping and assist managers in controlling and remediating induced damages.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45044901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Filling observational gaps with crowdsourced citizen science rainfall data from the Met Office Weather Observation Website 利用来自英国气象局天气观测网站的众包公民科学降雨数据填补观测空白

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-03-28 DOI: 10.2166/nh.2023.136

Tess O'Hara, F. McClean, Roberto Villalobos Herrera, E. Lewis, H. Fowler

{"title":"Filling observational gaps with crowdsourced citizen science rainfall data from the Met Office Weather Observation Website","authors":"Tess O'Hara, F. McClean, Roberto Villalobos Herrera, E. Lewis, H. Fowler","doi":"10.2166/nh.2023.136","DOIUrl":"https://doi.org/10.2166/nh.2023.136","url":null,"abstract":"\u0000 This paper demonstrates the potential for crowdsourced rainfall data to infill gaps in the official rain gauge network and to provide new datasets for use in research. We use data from the Met Office Weather Observation Website (WOW) over 10 years (2011–2020) to generate two open-source datasets for Britain; multi-parameter raw data in an easy-to-use format; and an hourly rainfall dataset. We have compiled and prepared the data and detail here station selection, rain depth calculation, and data resampling to hourly intervals to create a consistent dataset for further processing (including statistical quality control) and application. Mapping the new rainfall dataset establishes that WOW observations fill spatial gaps in the official ground-based rain gauge network over Britain, particularly in urban areas. This could be particularly useful for post-event analysis of rainfall that results in pluvial flash flooding. Here, we focus on Britain but due to agreements with meteorological services in Belgium, the Netherlands, Australia, New Zealand, Sweden, and the Republic of Ireland, plus many citizen scientists globally opting to share data via WOW there is potential for the development of similar datasets using these methods around the world.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"1 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67905885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Research and application of the parallel computing method for the grid-based Xin'anjiang model 基于网格的新安江模型并行计算方法的研究与应用

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-03-17 DOI: 10.2166/nh.2023.002

Li-Yu Daisy Liu, D. Wan, Yufeng Yu, Yangming Zhang

引用次数: 0

Decomposition of contribution to runoff changes and spatial differences of major tributaries in the middle reaches of the Yellow River based on the Budyko framework 基于Budyko框架的黄河中游主要支流径流变化贡献度和空间差异分解

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-03-17 DOI: 10.2166/nh.2023.061

Yanyu Dai, Fan Lu, B. Ruan, Xinyi Song, Yu Du, Yiran Xu

{"title":"Decomposition of contribution to runoff changes and spatial differences of major tributaries in the middle reaches of the Yellow River based on the Budyko framework","authors":"Yanyu Dai, Fan Lu, B. Ruan, Xinyi Song, Yu Du, Yiran Xu","doi":"10.2166/nh.2023.061","DOIUrl":"https://doi.org/10.2166/nh.2023.061","url":null,"abstract":"\u0000 Quantitative differentiation of climate and human activities on runoff is important for water resources management and future water resources trend prediction. In recent years, runoff in the middle reaches of the Yellow River (MRYR) has decreased dramatically. Many studies have analyzed the causes of runoff reduction, but there is still a lack of understanding of the spatial differences in runoff contributions and their causes. Therefore, this study quantitatively distinguishes the contributions of climate and human activities to runoff changes in nine sub-basins of the MRYR based on the Budyko framework and analyses the differences in the contributions of different basins and their causes. The results show that the runoff in the nine sub-basins decreases significantly and the precipitation increases from northwest to southeast. The contribution of human activities to runoff is greater than that of climate change, especially in the Huangfuchuan (HF) River and Kuye (KY) River basins, where the contribution of human activities to runoff exceeds 90%. The greater impact of human activities in HF River and KY River is due to the significantly higher water use growth rate and normalized vegetation index trends than in other areas.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45229611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Distribution characteristics and influencing factors of water resources in Henan Province 河南省水资源分布特征及影响因素

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-03-17 DOI: 10.2166/nh.2023.096

Yishuang Zhou, Xiaoxia Tong, R. Gan, Panfeng Liu, Lin Guo, Shan-shan Zhao

{"title":"Distribution characteristics and influencing factors of water resources in Henan Province","authors":"Yishuang Zhou, Xiaoxia Tong, R. Gan, Panfeng Liu, Lin Guo, Shan-shan Zhao","doi":"10.2166/nh.2023.096","DOIUrl":"https://doi.org/10.2166/nh.2023.096","url":null,"abstract":"\u0000 A clear understanding of the spatial and temporal distribution characteristics of water resources is essential for the optimal allocation and sustainable utilization of water resources. In this paper, the spatial and temporal distribution characteristics of water resources in Henan Province were studied based on GIS, combining the Mann-Kendall (M-K) nonparametric test and rescaled range (R/S) analysis. In addition, SPSS software was used to analyze the influence of climate and land use type on water resources. The results indicated that (1) the hot spots of water resources were concentrated in the southwest, while the low values were concentrated in the northeast, and the distribution of water resources decreased from southwest to northeast. (2) In the past 21 years, spatiotemporal mutations in the water resource sequence occurred between 2010 and 2014. The Z-values of the M-K trend test were all less than 0, the H-values of groundwater resources (GWRs) were mostly greater than 0.5, and the h-values of surface water resources (SWRs) and total water resources (TWRs) were less than 0.5, showing an overall declining trend. However, this trend may change in the future. (3) From the correlation analysis, climate change had a greater impact on water resources than land use changes did.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47237525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Dependence of daily precipitation and wind speed over coastal areas: evidence from China's coastline 沿海地区日降水和风速的相关性:来自中国海岸线的证据

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-03-17 DOI: 10.2166/nh.2023.093

Xuyang Qi, Shuni Qian, Kebing Chen, Jun Li, Xushu Wu, Zhaoli Wang, Zi‐Wang Deng, Jie Jiang

{"title":"Dependence of daily precipitation and wind speed over coastal areas: evidence from China's coastline","authors":"Xuyang Qi, Shuni Qian, Kebing Chen, Jun Li, Xushu Wu, Zhaoli Wang, Zi‐Wang Deng, Jie Jiang","doi":"10.2166/nh.2023.093","DOIUrl":"https://doi.org/10.2166/nh.2023.093","url":null,"abstract":"\u0000 Rainfall and wind speed are two important meteorological variables that have a significant impact on agriculture, human health, and socio-economic development. While individual rainfall or wind events have been widely studied, little attention has been devoted to study the lead–lag relationship between rainfall and wind speed, particularly in coastal regions where strong dependence between rainfall and wind speed is expected. Taking China's coastline as the case study, this paper aims to explore the variation trends of wind speed and rainfall and reveal the relationships between rainfall events and wind speeds on days before and after rainfall occurrence, by using meteorological station data from 1960 to 2018. The results show that wind speed trended to decrease while rainfall showed a slight increase for most stations. The daily wind speed increased 2 days before rainfall occurrence and decreased after then, with the highest wind speed observed during rainfall onset regardless of rainfall amount. Moreover, heavier rainfall events are more likely to occur with higher wind speeds. The findings of this study potentially improve the understanding of the dependence of rainfall and wind speed, which could help rainfall or wind-related disaster mitigation.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41905263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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