Hydrology Research最新文献_第2页

Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China: Integrating novel explainable machine learning algorithms with DRASTIC-LU 加强中国西南部重庆市地下水对硝酸盐污染的脆弱性评估：将新型可解释机器学习算法与 DRASTIC-LU 相结合

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-06-05 DOI: 10.2166/nh.2024.036

Yuanyi Liang, Xingjun Zhang, Yigao Sun, Linlin Yao, Lin Gan, Jialin Wu, Si Chen, Junyi Li, Jian Wang

{"title":"Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China: Integrating novel explainable machine learning algorithms with DRASTIC-LU","authors":"Yuanyi Liang, Xingjun Zhang, Yigao Sun, Linlin Yao, Lin Gan, Jialin Wu, Si Chen, Junyi Li, Jian Wang","doi":"10.2166/nh.2024.036","DOIUrl":"https://doi.org/10.2166/nh.2024.036","url":null,"abstract":"\u0000 \u0000 Groundwater vulnerability to nitrate assessment serves as a measure of potential groundwater nitrate pollution in a target area. The primary objective of this study is to utilize the traditional DRASTIC-land use assessment framework, groundwater nitrate distribution data, and three machine learning models (random forest (RF), XGBoost, and support vector machine) to classify whether groundwater nitrate exceeds a threshold (10 mg/L as nitrogen) in Chongqing, southwest China. Model evaluation is conducted using accuracy and F1 score metrics, and ultimately, the classification probabilities are employed as the groundwater vulnerability to nitrate index. The results indicate that the RF model outperforms the other two models, achieving the highest accuracy (92.9% for testing), kappa value (0.857 for testing), and area under the curve (0.948 for testing). Furthermore, the SHapley Additive exPlanations (SHAP) interpreter revealed that aquifer conductivity, lithology, agricultural activities, areas with high-intensity development, and groundwater recharge are the most influential indicators of groundwater vulnerability. The final groundwater vulnerability level distribution map, with a resolution of 1 km × 1 km, reveals that high and extremely high vulnerability levels are concentrated in areas with high-intensity urban development and karst trough valleys in the southeastern, northeastern, and central urban areas. This work represents the first attempt at using machine learning models for groundwater vulnerability assessment in Chongqing.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"290 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386928","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

Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamflow model 在机器学习溪流模型中将可解释人工智能与土壤水分动态联系起来

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-05-24 DOI: 10.2166/nh.2024.003

Alexander Ley, Helge Bormann, Markus Casper

{"title":"Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamflow model","authors":"Alexander Ley, Helge Bormann, Markus Casper","doi":"10.2166/nh.2024.003","DOIUrl":"https://doi.org/10.2166/nh.2024.003","url":null,"abstract":"\u0000 \u0000 Machine learning algorithms are increasingly applied in hydrological studies with promising results. However, these algorithms generally lack the ability for easy interpretability of the results by users. In this study, we compare six different explainable artificial intelligence (XAI) algorithms that help understand the effect of input data on the simulation results. The methods are explored on two distinct approaches for streamflow modeling using the long short-term memory (LSTM) model: a single model approach using only meteorological forcing data and a regional approach including also static catchment attributes. To gain further insight into the internal dynamics of the LSTM models, the relationship between cell states and soil moisture is investigated. A strong correlation suggests that the LSTM models inherently capture the concept of soil moisture as a catchment-scale storage mechanism. The XAI methods are applied to derive a timestep of influence, revealing how many days of input data are relevant for the model output. All XAI methods result in similar seasonal patterns in the timestep of influence, suggesting that the methods are comparable. Setting soil moisture dynamics in context to seasonal development of the timestep of influence suggests resetting LSTM as soon as soil moisture saturation occurs.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"60 11","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141102179","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

Characteristics and causes of water level variations in the Chenglingji–Jiujiang reach of the Yangtze River following the operation of the Three Gorges Dam 三峡大坝运行后长江城陵矶-九江河段水位变化的特征和原因

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-05-22 DOI: 10.2166/nh.2024.010

Guangyue Zhang, Guangming Tan, Wei Zhang, Yuanfang Chai, Jingwen Wang, Zhi Yin, Yong Hu

{"title":"Characteristics and causes of water level variations in the Chenglingji–Jiujiang reach of the Yangtze River following the operation of the Three Gorges Dam","authors":"Guangyue Zhang, Guangming Tan, Wei Zhang, Yuanfang Chai, Jingwen Wang, Zhi Yin, Yong Hu","doi":"10.2166/nh.2024.010","DOIUrl":"https://doi.org/10.2166/nh.2024.010","url":null,"abstract":"\u0000 \u0000 Water level adjustment downstream of dams significantly impacts river regimes and flood control. However, due to constant strong scouring, our quantitative understanding of the characteristics of water level variations and their causes in the Chenglingji–Jiujiang Reach of the Yangtze River remains limited. Here, we analyzed the water level change trend via the Mann–Kendall method and analyzed geomorphic change and river resistance using 406 cross-sectional profiles as well as data on discharge and water levels from 1991 to 2022. Results showed that the critical conversion discharges (CCD) in the Chenglingji-Hankou Reach and the Hankou-Jiujiang Reach were approximately 35,000 and 30,000 m3/s, respectively, after the operation of the Three Gorges Dam. The water level exhibited an overall decline mainly due to river erosion when the discharge was lower than the CCD. The water level exhibited a nonsignificant upward trend mainly due to increased river resistance (7–20%) when the discharge was higher than the CCD. The obvious increase in the floodwater level in individual years was caused by the effect of downstream water level increase. Our findings further the understanding of downstream geomorphic response to dam operation and their impacts on water levels and have important implications for flood management in such rivers worldwide.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"17 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141111092","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

Flood susceptibility mapping in the Tongo Bassa watershed through the GIS, remote sensing and the frequency ratio model 通过地理信息系统、遥感和频率比模型绘制通戈巴萨流域洪水易发区地图

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-03-18 DOI: 10.2166/nh.2024.152

Valentin Brice Ebodé, Raphael Onguéné, Jean Jacques Braun

{"title":"Flood susceptibility mapping in the Tongo Bassa watershed through the GIS, remote sensing and the frequency ratio model","authors":"Valentin Brice Ebodé, Raphael Onguéné, Jean Jacques Braun","doi":"10.2166/nh.2024.152","DOIUrl":"https://doi.org/10.2166/nh.2024.152","url":null,"abstract":"\u0000 \u0000 Flooding constitutes a major problem for the inhabitants of Douala City in general and those of the Tongo Bassa watershed (TBW) in particular. Faced with this situation, public authorities need to put in place measures to mitigate the vulnerability of populations to these disasters. This article aims to map flooding risk areas in the TBW using the geographic information system, field data (historical flood points), remote sensing data (Sentinel II image) and the frequency ratio model. The map produced shows that 1.41, 8.88, 28.51, 33.86 and 27.33% of the basin area are respectively delimited into very low, low, medium, high and very high flood vulnerability classes. High and very high flooding risk areas (those where flooding is most likely to occur) occupy more than half of the basin (61.19%). These areas are characterized by significant imperviousness, low altitudes, weak slopes, significant proximity to watercourses and clayey soils. Most of the houses in the basin (66.92%) are located in areas affected by these two levels of exposure (high and very high). With respective success and prediction accuracy rates of 89 and 96.78%, a certain confidence deserves to be placed on the map of flooding risk areas produced.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"18 6","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140232049","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

Proficiency of probability distributions in unit hydrograph derivation 单位水文图推导中概率分布的熟练程度

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-03-08 DOI: 10.2166/nh.2024.151

Esmatullah Sangin, Pravin R. Patil, S. K. Mishra, Sumit Sen

引用次数: 0

Temporal dynamics of water level and water sources analyses of karst tidal springs in Guilin, China 中国桂林岩溶潮汐泉的水位时空动态和水源分析

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-02-14 DOI: 10.2166/nh.2024.178

Jie Ma, Shilong Zhu, Xiaomei Wei, Yongli Guo, Jianhua Cao, Fen Huang

{"title":"Temporal dynamics of water level and water sources analyses of karst tidal springs in Guilin, China","authors":"Jie Ma, Shilong Zhu, Xiaomei Wei, Yongli Guo, Jianhua Cao, Fen Huang","doi":"10.2166/nh.2024.178","DOIUrl":"https://doi.org/10.2166/nh.2024.178","url":null,"abstract":"\u0000 The hydrological dynamics and sources of karst tidal springs are difficult to capture and quantify due to fluctuations in their flow velocity. In this study, the Laolongshui (LLS) karst tidal spring in the Maocun underground river basin of Guilin City was taken as an example, with a 2-year continuous monitoring of the electrical conductivity, and water level,as well as water chemical analysis. The results showed the following: (1) discovered the variation pattern of LLS water level in different seasons, the water level fluctuates regularly on a daily scale, with a rise and fall time of 43.6 min after heavy rainfall in the rainy season, while in the dry season, it lasts for about 74–80 h. (2) Four peaks were extracted from the frequency distribution of electrical conductivity, representing the response of springwater under different rainfall conditions. (3) The annual average frequencies of the occurrence of P1, P2, P3, and P4 in terms of time are 53.82, 39.29, 6.18, and 0.72%, respectively. The results provide a new method for analyzing groundwater's source and dynamic changes in karst areas.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"84 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139779423","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

Temporal dynamics of water level and water sources analyses of karst tidal springs in Guilin, China 中国桂林岩溶潮汐泉的水位时空动态和水源分析

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-02-14 DOI: 10.2166/nh.2024.178

Jie Ma, Shilong Zhu, Xiaomei Wei, Yongli Guo, Jianhua Cao, Fen Huang

{"title":"Temporal dynamics of water level and water sources analyses of karst tidal springs in Guilin, China","authors":"Jie Ma, Shilong Zhu, Xiaomei Wei, Yongli Guo, Jianhua Cao, Fen Huang","doi":"10.2166/nh.2024.178","DOIUrl":"https://doi.org/10.2166/nh.2024.178","url":null,"abstract":"\u0000 The hydrological dynamics and sources of karst tidal springs are difficult to capture and quantify due to fluctuations in their flow velocity. In this study, the Laolongshui (LLS) karst tidal spring in the Maocun underground river basin of Guilin City was taken as an example, with a 2-year continuous monitoring of the electrical conductivity, and water level,as well as water chemical analysis. The results showed the following: (1) discovered the variation pattern of LLS water level in different seasons, the water level fluctuates regularly on a daily scale, with a rise and fall time of 43.6 min after heavy rainfall in the rainy season, while in the dry season, it lasts for about 74–80 h. (2) Four peaks were extracted from the frequency distribution of electrical conductivity, representing the response of springwater under different rainfall conditions. (3) The annual average frequencies of the occurrence of P1, P2, P3, and P4 in terms of time are 53.82, 39.29, 6.18, and 0.72%, respectively. The results provide a new method for analyzing groundwater's source and dynamic changes in karst areas.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"476 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139839096","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

Bivariate regional drought frequency analysis using multivariate approaches: a case study in southwestern Iran 利用多变量方法进行二元区域干旱频率分析：伊朗西南部案例研究

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-02-01 DOI: 10.2166/nh.2024.160

Hanie Pashaie, S. S. M. Nadoushani, Ali Moridi, Ali Ahani

{"title":"Bivariate regional drought frequency analysis using multivariate approaches: a case study in southwestern Iran","authors":"Hanie Pashaie, S. S. M. Nadoushani, Ali Moridi, Ali Ahani","doi":"10.2166/nh.2024.160","DOIUrl":"https://doi.org/10.2166/nh.2024.160","url":null,"abstract":"\u0000 Bivariate approaches in Regional Frequency Analysis (RFA) address two issues: first, to evaluate the homogeneity of regions, and second, to estimate the joint return periods. This study was conducted to investigate the joint return period of a severe historical drought in southwestern Iran. Fifty-nine rain gauges were first clustered into three, four, and five regions using the fuzzy c-means clustering (FCM) algorithm. Then bivariate discordancy and homogeneity tests were applied to adjust the initial clusters. The results showed that only in the case of three clusters all the regions were homogeneous. Therefore, it can be inferred that combining clustering analysis and discordancy test is insufficient to form homogeneous regions. Finally, the joint return period, by choosing Generalized Logistic and Wakeby as marginal distributions and Clayton as a copula, was estimated for all the sites in the three regions. Since no three-parameter distribution function fitted well to the variable severity, the bivariate homogeneity index does not necessarily attest to region homogeneity regarding the marginal distribution functions. it is also deduced that sites with higher mean annual precipiataion (MAP) and, correspondingly, higher elevation are more likely to experience shorter return periods of same drought events, in contrast to sites with lower MAP or lower elevation.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"1207 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139831192","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

Estimating groundwater recharge rates in the Upper Awash Basin, Ethiopia under different combinations of model complexity and objective functions 在不同的模型复杂性和目标函数组合下估算埃塞俄比亚上阿瓦士盆地的地下水补给率

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-02-01 DOI: 10.2166/nh.2024.059

Muauz Amare Redda, Behailu Birhanu, Bediru Hussien

{"title":"Estimating groundwater recharge rates in the Upper Awash Basin, Ethiopia under different combinations of model complexity and objective functions","authors":"Muauz Amare Redda, Behailu Birhanu, Bediru Hussien","doi":"10.2166/nh.2024.059","DOIUrl":"https://doi.org/10.2166/nh.2024.059","url":null,"abstract":"\u0000 Reliable quantification of groundwater recharge rate is crucial for the sustainable utilization of groundwater resources. However, little information is documented about the uncertainty associated with recharge rate estimation from the different combinations of model complexity and objective function perspectives. Therefore, this study aims to (i) analyze the sensitivity of the model parameters under different combinations of model complexities and objective functions and (ii) estimate the groundwater recharge rate in the Hombele catchment, Upper Awash Basin, Ethiopia, for different combinations of objective functions and model complexities. The effect of these model complexities in estimating groundwater recharge rate and parametrizing model parameters was quantified for the period 1986–2013. A total of 10 combinations of model complexities and objective functions were used for the analysis. The Kling–Gupta efficiency (Nash–Sutcliffe efficiency) values for calibration, validation, and the whole period are 0.89 (0.80), 0.80 (0.73), and 0.87 (0.77), respectively, when a semi-distributed HBV-light model was used. For all objective functions, we found that the average annual recharge rate of the study catchment ranges from 185.9 to 280.5 mm when the HBV-light model was considered as a semi-distributed model. In contrast, the average annual recharge rate ranges from 185.3 to 321.7 mm when applying the HBV-light model as a lumped model.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"23 4","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139889354","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

Hydrological effects of open ditch damming and controlled subsurface drainage in a Nordic agricultural field 北欧农田明沟筑坝和受控地下排水的水文影响

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-02-01 DOI: 10.2166/nh.2024.053

Kielo Isomäki, Aleksi Salla, H. Salo, H. Koivusalo

{"title":"Hydrological effects of open ditch damming and controlled subsurface drainage in a Nordic agricultural field","authors":"Kielo Isomäki, Aleksi Salla, H. Salo, H. Koivusalo","doi":"10.2166/nh.2024.053","DOIUrl":"https://doi.org/10.2166/nh.2024.053","url":null,"abstract":"\u0000 Controlled drainage (CRD) is an agricultural water management practice designed to adjust the capacity of a drainage system under varying hydrological conditions. This simulation study aimed to quantify the potential of combining a controlled subsurface drainage (CS) with open ditch damming (CD) to manage the water table depth (WTD) and field water balance in Nordic conditions. Simulations with and without controlled drainage were run using a hydrological model that had been set up for a flat loamy field in Northern Ostrobothnia, Finland, for the period 2010–2021. All CRD scenarios reduced the probability of deep WTDs during growing seasons (May–Sep). The impact of CS on WTDs was greater and more uniform than CD. The CRD effects on water balance were seen in water outflow pathways, as CS reduced drain discharge while CD had the opposite effect. When both methods were applied simultaneously, annual evapotranspiration increased 5–12% compared with the free drainage scenario. The effects of CRD on evapotranspiration were greatest during the dry years indicating that CRD has potential to reduce drought in food production areas. None of the CRD scenarios could maintain optimal WTDs during the entire growing season, highlighting the complexity of optimizing field water management using CRD alone.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"26 4","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139890129","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