Trend Change Study of Climate Variables in Xin’anjiang-Fuchunjiang Watershed, China by Muhammad Zaman, Guohua Fang, Kashif Mehmood, Muhammad Saifullah

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Three-dimensional flow structures modelling based on a depth-integrated method in a sharply curved open channel over topography by Lugina Fikry Purwa, Uchida Tatsuhiko, Blanckaert Koen

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An Introduction to USGS Topo Maps by Hartwig Hochmair, Adam Benjamin

“…They can be used to address spatial questions in disciplines related to natural resources, hydrology, forestry, agriculture, or ecology. In 1879, the United States Geological Survey began to map the topography of the United States, producing new map versions of each area at semi-regular time intervals. …”
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Analysis and Modeling of Time-Correlated Characteristics of Rainfall-Runoff Similarity in the Upstream Red River Basin by Xiuli Sang, Jianxin Xu, Kun Zhang, Hua Wang

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Rainfall-Altitude Relationship in Saudi Arabia by Khalid Al-Ahmadi, Sharaf Al-Ahmadi

“…Relations between rainfall and the altitude of the terrain can have significant implications for rainfall-runoff studies in hydrology. The aim of this paper is to report on a study of relationships between annual and seasonal rainfall and the altitude of the terrain in Saudi Arabia (SA) using global ordinary least square (OLS) and local geographically weighted regression (GWR) methods. …”
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An Introduction to USGS Topo Maps by Hartwig Hochmair, Adam Benjamin

“…They can be used to address spatial questions in disciplines related to natural resources, hydrology, forestry, agriculture, or ecology. In 1879, the United States Geological Survey began to map the topography of the United States, producing new map versions of each area at semi-regular time intervals. …”
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Conversion of 10 min Rain Rate Time Series into 1 min Time Series: Theory, Experimental Results, and Application in Satellite Communications by Emilio Matricciani, Carlo Riva

“…., quasi-instantaneous rainfall—the latter to be used as input to the synthetic storm technique, which is a very reliable tool for calculating rain attenuation time series in satellite communication systems or for estimating runoff, erosion, pollutant transport, and other applications in hydrology. To develop the method, we used a very large data bank of 1 min rain rate time series collected in several sites with different climatic conditions. …”
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MORPHOMETRIC OF THE COLORADO RIVER HIGH BASIN, ARGENTINA by Carolina Manuela Aumassanne, Fernanda Julia Gaspari, Maria Eugenia Bege, Paolo Daniel Sartor, Patricio Oricchio, Carlos Marcelo Di Bella

“…Morphometric and functional characteristics analysis of a basin is elementary in hydrology and modeling approach. The aim of this work was to analyze and interpret the morphometric parameters and derived indices of the upper basin of the Colorado River, Argentina. …”
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Approach to Predict Land Subsidence in Old Goafs considering the Influence of Engineering Noise by Chao Du, Fajin Zu, Chunpeng Han

“…Considering that it is easily disturbed by various engineering factors such as weather, hydrology, and construction during engineering monitoring, the collected subsidence data contain various noises. …”
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Local and Regional Scale Evaluation of the Integrated Urban Land Model by Comparing with the Common Land Model by Chunlei Meng, Wenlong Zhang

“…Land surface evaporation is not only an important parameter in natural land surface modeling, but a crucial important parameter in urban hydrology modeling. A whole-layer soil evaporation scheme was developed in the integrated urban land model (IUM) to improve the soil evaporation simulation. …”
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Study on Ductility of Ti Aluminide Using Artificial Neural Network by R. K. Gupta, Rama Mehta, Vijaya Agarwala, Bhanu Pant, P. P. Sinha

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Using Different Methods baseflow Separation of Karst Springs Based on Isotope Content (Case study: Kahman Karst Spring) by Abazar Solgi, Heidar Zarei, Safar Marofi

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Modelling of the Annual Mean Urban Heat Island Pattern for Planning of Representative Urban Climate Station Network by János Unger, Stevan Savić, Tamás Gál

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Implementing regional blue economy research and innovation strategies: a case study for the Black Sea by Baris Salihoglu, Baris Salihoglu, Mustafa Yücel, Pinar Uygurer, Ezgi Şahin Yücel, Evangelos Papathanassiou, Devrim Tezcan, Adrian Stanica, Irina Stanciu, Snejana Petrova Moncheva, Nina Dzhembekova, Kremena Blagovestova Stefanova, Viktor Komorin, Tudor Castravet, Kakhaber Bilashvili, Valerian Melikidze, Mamuka Gvilava, Salome Kobaidze

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Coconstruire un outil d’aide à la décision : le manuel paysager et environnemental de la gestion forestière pour le Parc naturel régional de la Sainte-Baume by Atelier Saltus, Nicolas Luigi

“…This landscape project, the scope of which ranges from the individual plot to the entire region, is principally based on the disciplines of geography (geomorphology, hydrology, anthropology) and ecology (plant series, climatology, biodiversity), and is intended to develop a dynamic vision of the forest ecosystems of the region. …”
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Forecasting Daily Precipitation Using Hybrid Model of Wavelet-Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study: Verayneh Station, Naha... by Abazar Solgi, Vahid Nourani, Amir Pourhaghi

“…However, considering high-stochastic property of the process, many models are still being developed in order to define such a complex phenomenon in the field of hydrologic engineering. Recently artificial neural network (ANN) as a nonlinear interextrapolator is extensively used by hydrologists for precipitation modeling as well as other fields of hydrology. …”
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Online Modal Identification of Concrete Dams Using the Subspace Tracking-Based Method by Lin Cheng, Fei Tong, Jie Yang, Dongjian Zheng

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BCUB – a large-sample ungauged basin attribute dataset for British Columbia, Canada by D. Kovacek, S. Weijs

“…The attributes included in the dataset are similar to those found in the large-sample hydrology literature for their association with hydrological processes. …”
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Machine learning approaches to Landsat change detection analysis by Galen Richardson, Anders Knudby, Morgan A. Crowley, Michael Sawada, Wenjun Chen

“…Landsat-based monitoring research has been influential in geography, forestry, hydrology, ecology, agriculture, geology, and public health. …”
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Battery Energy Forecasting in Electric Vehicle Using Deep Residual Neural Network by Mohamad Reda A. Refaai, Jyothilal Nayak Bharothu, T. V. V. Pavan Kumar, Chodagam Srinivas, M. Sudhakar, Anirudh Bhowmick

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