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Journal of Hydrologic Engineering最新文献

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Identification and Quantification of Surface Depressions on Grassy Land Surfaces of Different Topographic Attributes Using High-Resolution Terrestrial Laser Scanning Point Cloud and Triangulated Irregular Network 基于高分辨率地面激光扫描点云和不规则三角网的不同地形属性草地地表洼地识别与量化
IF 2.4 4区 工程技术 Q2 Engineering Pub Date : 2023-04-01 DOI: 10.1061/jhyeff.heeng-5823
D. M. Meneses, Lin Zheng, Qizhong Guo
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引用次数: 1
Closure to “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence” “基于分解重构和群体智能的最小二乘支持向量机提高水文时间序列预测精度”结语
IF 2.4 4区 工程技术 Q2 Engineering Pub Date : 2023-04-01 DOI: 10.1061/jhyeff.heeng-5901
Wen-jing Niu, Zhong-kai Feng, Yin-shan Xu, Bao-fei Feng, Yao-wu Min
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引用次数: 0
Using Water Stable Isotopes and Cross-Correlation Analysis to Characterize Infiltration of Precipitation through Unsaturated Zone at the Velika Gorica Site of Zagreb Aquifer 利用水稳定同位素和互相关分析表征萨格勒布含水层Velika Gorica站点降水通过不饱和带入渗的特征
IF 2.4 4区 工程技术 Q2 Engineering Pub Date : 2023-04-01 DOI: 10.1061/jhyeff.heeng-5806
Zoran Kovač, Laura Bačani, Stanko Ružičić, Jelena Parlov, Kristijan Posavec, Patricia Buškulić
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引用次数: 3
Review of Integrated Flood Risk Management: Basic Concepts and Japanese Experience by Kuniyoshi TakeuchiRoutledge, Oxon, United Kingdom; 2022; ISBN 978-1-032-33073-3; 258 pp.; $78.3607523001 综合洪水风险管理:基本概念与日本经验综述(作者:竹国吉)2022;ISBN 978-1-032-33073-3;258页;78.3607523001美元
IF 2.4 4区 工程技术 Q2 Engineering Pub Date : 2023-04-01 DOI: 10.1061/jhyeff.heeng-5961
Vijay Singh
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引用次数: 0
Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence” “基于分解重构和群体智能的最小二乘支持向量机提高水文时间序列预测精度”的探讨
IF 2.4 4区 工程技术 Q2 Engineering Pub Date : 2023-04-01 DOI: 10.1061/jhyeff.heeng-5743
O. Kisi, Kai Liepelt, Christoph Kulls
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引用次数: 0
Bias Correction of Satellite Precipitation Products for Hydrologic Modeling in Western Ghats Region, India 印度西高止山脉水文模拟卫星降水产品的偏差校正
IF 2.4 4区 工程技术 Q2 Engineering Pub Date : 2023-04-01 DOI: 10.1061/jhyeff.heeng-5699
A. Kunnath-Poovakka, T. Eldho
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引用次数: 0
Inferences of Groundwater Response to Projected Hydroclimatic Changes in North Florida 北佛罗里达地下水对预估水文气候变化的响应推论
IF 2.4 4区 工程技术 Q2 Engineering Pub Date : 2023-04-01 DOI: 10.1061/jhyeff.heeng-5827
F. Gordu, M. Nachabe
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引用次数: 0
Analyzing Groundwater Recharge and Vadose Zone Dynamics by Combining Soil Moisture and Groundwater Level Data with a Numerical Model in Subarctic Conditions 结合土壤水分和地下水位数据与数值模型分析亚北极条件下地下水补给和水汽带动态
IF 2.4 4区 工程技术 Q2 Engineering Pub Date : 2023-04-01 DOI: 10.1061/jhyeff.heeng-5842
M. Tähtikarhu, J. Okkonen
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引用次数: 0
Changing Seasonality of Annual Maximum Floods over the Conterminous US: Potential Drivers and Regional Synthesis 连续美国年最大洪水的季节性变化:潜在驱动因素和区域综合
4区 工程技术 Q2 Engineering Pub Date : 2023-04-01 DOI: 10.1061/jhyeff.heeng-5768
Bidroha Basu, Rajarshi Das Bhowmik, A. Sankarasubramanian
Understanding the flood-generating mechanisms that influence flood seasonality in a region provides information on setting up relevant contingency measures. Although former studies estimated flood seasonality at regional/continental scale, limited/no studies have investigated the climate/basin drivers that influence the changes in flood seasonality. Considering this, the current study performed two analyses: (1) estimated the changes in the seasonality of annual maximum floods (AMF) between pre- and post-1970 across Hydroclimate Data Network basins over the conterminous US, and (2) identified the predictors that influence the change in the seasonality from a set of climate and geomorphic variables. Significant changes in the AMF seasonality were noted for approximately half of the basins in the eastern US, but low to no change was found in most basins in the central/western US. We found, except in the Northeast and mid-Atlantic basins, a decrease in the seasonality index, indicating floods arriving more uniformly is typically associated with an increase in the precipitation days in basins. On the other hand, increase in the seasonality index, indicating floods occurring more concentrated in time, is typically associated with an increase in the extreme precipitation in basins. Among the basin characteristics, elevation has a more dominant role than the drainage area in changing the flood seasonality. Elevation affects the form of precipitation, particularly in the western US, because floods arrive more distributed over the year (i.e., decrease in flood seasonality index), which potentially indicates increased warming resulting in early snowmelt.
了解影响一个地区汛期的洪水产生机制,可为制定相关应急措施提供信息。虽然以前的研究估计了区域/大陆尺度的洪水季节性,但很少或没有研究调查影响洪水季节性变化的气候/流域驱动因素。考虑到这一点,本研究进行了两方面的分析:(1)估算了1970年前后美国水文气候数据网络流域年最大洪水(AMF)的季节性变化;(2)从一组气候和地貌变量中确定了影响季节性变化的预测因子。在美国东部大约一半的盆地中发现了显著的AMF季节性变化,但在美国中部/西部的大多数盆地中发现了低变化或没有变化。我们发现,除东北和中大西洋盆地外,季节性指数下降,表明洪水更均匀地到达盆地通常与降水日数增加有关。另一方面,季节性指数的增加,表明洪水在时间上更集中,通常与流域极端降水的增加有关。在流域特征中,高程对洪水季节变化的主导作用大于流域面积。海拔高度影响降水形式,特别是在美国西部,因为洪水在一年中分布更广(即洪水季节性指数下降),这可能表明变暖加剧导致提前融雪。
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引用次数: 2
Vertical Flux in a Two-Layer Aquifer System Absent of Aquitard 无含水层的双层含水层系统中的垂直通量
IF 2.4 4区 工程技术 Q2 Engineering Pub Date : 2023-04-01 DOI: 10.1061/jhyeff.heeng-5832
Chong Ma, Hongbin Zhan, Wenguang Shi
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引用次数: 0
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Journal of Hydrologic Engineering
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