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Analysis of hydrological responses using semi-distributed conceptual models in a mountainous catchment in the Hindu Kush Himalayan region 利用半分布式概念模型分析兴都库什喜马拉雅地区山区集水区的水文反应
Pub Date : 2024-07-09 DOI: 10.1080/02626667.2024.2378138
Manisha Malla, D. S. Arya
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引用次数: 0
Assessing Uncertainties of a Remote Sensing-based Discharge Reflectance Model for Applications to Large Rivers of the Congo Basin 评估基于遥感的排水反射模型在刚果盆地大河应用中的不确定性
Pub Date : 2024-07-09 DOI: 10.1080/02626667.2024.2378486
Djamel Kechnit, Raphael M. Tshimanga, Abdelhadi Ammari, Mark A. Trigg
Adequate monitoring of river discharge is crucial for effective water resource management. However, this objective remains difficult to achieve in the context of large and ungauged river basins. Th...
对河流排水量进行充分监测对于有效的水资源管理至关重要。然而,在大型无测站流域,这一目标仍然难以实现。这...
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引用次数: 0
Extending the historical in situ gauge network over Indian river reaches utilizing the Surface Water and Ocean Topography (SWOT) mission 利用地表水和海洋地形(SWOT)任务,在印度河流域扩展历史原位测量网络
Pub Date : 2024-07-08 DOI: 10.1080/02626667.2024.2368755
Manu K. Soman, J. Indu
We present a preliminary study on using the Surface Water and Ocean Topography (SWOT) mission to extend water surface elevation (WSE) measurements from a sparsely distributed in situ gauge network ...
我们介绍了一项关于利用地表水和海洋地形学(SWOT)任务扩展分布稀疏的原地测量网络的水面高程(WSE)测量的初步研究。
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引用次数: 0
Assessment of future drought sensitivity shift associated with crop yield loss risk in Anthropocene 评估与人类世作物产量损失风险相关的未来干旱敏感性变化
Pub Date : 2024-07-08 DOI: 10.1080/02626667.2024.2377353
Muhammad Waseem, Tahira Khurshid, Muhammad Shahid, Muhammad Atiq Ur Rehman Tariq, Jiaqing Xiao, Tao Yang, Pengfei Shi
This study proposed a framework using Artificial Neural Networks (ANNs), the designed Residual Regression Method, and probabilistic indexing, for drought sensitivity shift analysis, associated with...
本研究提出了一个利用人工神经网络(ANN)、设计的残差回归法和概率索引进行干旱敏感性转移分析的框架,与...
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引用次数: 0
Steering agricultural interventions towards sustained irrigation adoption by farmers: socio-psychological analysis of irrigation practices in Maharashtra, India 引导农业干预措施,促进农民持续采用灌溉技术:对印度马哈拉施特拉邦灌溉做法的社会心理分析
Pub Date : 2024-07-08 DOI: 10.1080/02626667.2024.2376709
Soham Adla, Anja Šaponjić, Ashray Tyagi, Anukool Nagi, Prashant Pastore, Saket Pande
The adoption of agricultural technologies like irrigation is influenced by complex contextual and socio-psychological factors. This study used the socio-psychological RANAS framework to examine the...
灌溉等农业技术的采用受到复杂的环境和社会心理因素的影响。本研究采用社会心理学 RANAS 框架来考察灌溉技术的采用情况。
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引用次数: 0
On “The Science of Waters” by Père Jean François from 1653 1653 年让-弗朗索瓦神父的 "水的科学 "作品
Pub Date : 2024-07-08 DOI: 10.1080/02626667.2024.2377352
Keith Beven
The early quantification of the catchment water balance in the 17th Century has been well documented. But there is one book called “L’Hydrographe” or “La Science des Eaux” that was published by a J...
17 世纪对集水区水量平衡的早期量化已有详细记载。但有一本名为《水文学》(L'Hydrographe)或《水科学》(La Science des Eaux)的书是由一位名叫J...
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引用次数: 0
Reply to discussion of “An assessment of small island hydrological research activity conducted in the Oceania Region” 对 "对大洋洲地区开展的小岛屿水文研究活动的评估 "讨论的答复
Pub Date : 2024-07-08 DOI: 10.1080/02626667.2024.2378106
Chris Leong, Maletina Solomone, Ryuichi Shinjo, Daiki Tomojiri, Christmas Uchiyama, Jun Yasumoto, Bam Razafindrabe
We thank the commentators for discussing their viewpoints on the subject; the majority of which converge with our ideas and few others that need clarity for which we have responded too. We also app...
我们感谢评论者就这一主题发表的观点,其中大多数观点与我们的想法不谋而合,但也有少数观点需要澄清,我们对此也做出了回应。同时,我们也感谢...
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引用次数: 0
Experimental study of hydrodynamics of groundwater flow in karst aquifers 岩溶含水层地下水流的流体力学实验研究
Pub Date : 2024-07-04 DOI: 10.1080/02626667.2024.2376706
Amin Hassan, Ahmed M. Hedia, Hesham M. Bekhit, Ahmed E. Hassan, Mohamed A. Abd-Elmegeed
A large-scale 3D laboratory model is constructed to simulate a karst aquifer. Three groups of experiments are conducted to study the flow exchange between matrix and conduit domains and investigate...
构建了一个大型三维实验室模型来模拟岩溶含水层。进行了三组实验来研究基质和导流域之间的水流交换,并调查...
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引用次数: 0
A new method for predicting precipitation δ18O distribution based on deep learning and spatio-temporal clustering 基于深度学习和时空聚类的降水δ18O分布预测新方法
Pub Date : 2024-07-02 DOI: 10.1080/02626667.2024.2375403
Yang Li, Siyuan Huo, Bin Ma, Bingbing Pei, Qiankun Tan, Qing Guo, Deng Wang, Longbiao Yu
Predicting precipitation δ18O accurately is crucial for understanding water cycles, paleoclimates, and hydrological applications. Yet, forecasting its spatio-temporal distribution remains challengi...
准确预测降水δ18O对于了解水循环、古气候和水文应用至关重要。然而,预测其时空分布仍然是一项挑战。
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引用次数: 0
Ensemble learning of decomposition-based machine learning models for multistep-ahead daily streamflow forecasting in northwest China 基于分解的机器学习模型的集合学习,用于中国西北地区的多步前日流量预报
Pub Date : 2024-07-01 DOI: 10.1080/02626667.2024.2374868
Haijiao Yu, Linshan Yang, Qi Feng, Rahim Barzegar, Jan F. Adamowski, Xiaohu Wen
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引用次数: 0
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Hydrological Sciences Journal
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