Research and Application of SWAT Model in Basin Without Reservoir Outflow Data by LIANG Guixing, CUI Yali, HUANG Qibo, WANG Yaru, ZHOU Yan, ZHANG Yin

“…Due to human factors such as reservoirs,the hydrological cycle of natural basins will change.During the establishment of a basin hydrological model,the reservoir factors should be considered.However,the lack of reservoir outflow data will affect the accuracy of the model to a certain extent.Based on the SWAT (Soil and Water Assessment Tool) distributed hydrological model,long-term daily-scale hydrological model under natural conditions,and Muskingum principle,this paper establishes the upstream and downstream flow response relationships,and obtains the reservoir outflow to improve the accuracy of the simulated hydrological cycle,applies the method to the Guijiang River Basin in Guilin City,Guangxi Zhuang Autonomous Region for verification,and identifies and verifies the hydrological model parameters of the Guijiang River Basin through SWAT-CUP.The results show that the simulated runoff at each hydrological station after the availability of the reservoir outflow is close to the measured runoff.Among them,the monthly runoff simulation evaluation factors R² and NS of Guilin Station are increased from 0.85 and 0.83 to 0.98 and 0.93 respectively,and the accuracy of the model is effectively improved,which provide technical means for hydrological management of the Guijiang River Basin.…”
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IDENTIFICATION DE RÉGIONS HOMOGÈNES DU POINT DE VUE HYDROLOGIQUE. ÉTUDE DE CAS: LA RÉGION DE LA COURBURE DE L’ARC CARPATIQUE by LILIANA ZAHARIA

“…Identification of homogeneous hydrological regions. Case study: the Carpathian Curvature region. …”
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Variabilité hydrologique et vulnérabilité des populations du Lago Janauaca (Amazonas, Brésil) by Guillaume Drapeau, Catherine Mering, Josyane Ronchail, Naziano Filizola

“…Closely related to the seasonal flood pulse of the Amazon River, the activities of várzeas farmers and fishermen are particularly sensitive to the critical events of hydrological variability. This paper analyzes the vulnerability of riverine communities to extreme high and low waters around the Lago Janauaca near Manaus, in a context of intensification of the hydrological cycle. …”
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Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest China by Junfeng Dai, Linyan Pan, Yan Deng, Zupeng Wan, Rui Xia

“…The Soil and Water Assessment Tool (SWAT) model is extensively used globally for hydrological and water quality assessments but encounters challenges in karst regions due to their complex surface and groundwater hydrological environments. …”
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Analysis of Current State of SWAT Model Research Based on Bibliometrics by DU Bailin, WU Lei

“…In order to gain insights into the latest advancements,focal areas,and future directions in SWAT model research,this paper conducted a bibliometric analysis of its applications in eco-hydrological modeling by using the Web of Science^TM core database and the VOSviewer visualization software.The findings reveal that from 2000 to 2022,there has been a general increase in publications related to the SWAT model.Research efforts have primarily concentrated on three main areas:firstly,the hydrological simulation applications of the SWAT model to enhance scientific water resource management;secondly,investigations into the mechanisms of hydrological responses to climate and human activities,offering theoretical support for flood disaster prediction and response;lastly,studies on water quality simulation and optimal management strategies,providing theoretical foundations for the prevention and control of agricultural non-point source pollution.The distribution of research teams has shifted from concentrated to more dispersed.Future SWAT research will prominently focus on water resource management,hydrological response processes,and water quality simulation.…”
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Determining Curve Number and Estimating Runoff Yield In HESARAK Catchment by mohammad mahdi hoseinzadeh, sepide imeni

“…The process of precipitation – runoff of each basin, is influenced by hydrologic, geomorphology conditions, geological formation and vegetation. …”
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Applicability of CMADS in Runoff Simulation of Huotong River Basin Based on SWAT Model by XU Yang, ZENG Yaozhong, WANG Yucheng, LI Xintong

“…The scarcity of meteorological data leads to the limitation of hydrological model research,which also exists in small and medium-sized rive basins along the southeastern coastal areas of China.The China meteorological assimilation dataset (CMADS) is the available meteorological dataset,which aims to filling the gap of data scarcity in hydrological model.Therefore,it is particularly important to verify the applicability of this dataset in runoff simulation based on SWAT model.Taking the Fujian Huotong River basin as the object,and the data of the survey station as the reference,this paper evaluates the applicability of CMADS by using the data consistency evaluation,the test coefficient of runoff simulation based on SWAT model and the spatial distribution of hydrological elements.The results show that:The spatial distribution of precipitation in the two types of data is consistent,and the correlation of temperature data is high.The R² and NSE coefficients of the monthly and daily runoff simulation results based on SWAT model obtained from the CMADS and the survey stations are satisfactory.The hydrological components of the CMADS model have little deviation from that of the survey station with consistent spatial distribution.Therefore,it can be concluded that the CMADS has good applicability in the runoff simulation of representative river basins along the southeast coastal area of China.…”
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Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data by Jianzhu Li, Yuangang Guo, Yixuan Wang, Shanlong Lu, Xu Chen

“…Compared with meteorological drought, the number of drought events was less and duration was longer for agricultural and hydrological droughts. The results showed that there were 3 types of drought propagation pattern: from meteorological drought to agricultural/hydrological drought (M-A/H), agricultural/hydrological drought without meteorological drought (NM-A/H), and meteorological drought only (M). …”
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Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology by Elliot Gould, Hannah S. Fraser, Timothy H. Parker, Shinichi Nakagawa, Simon C. Griffith, Peter A. Vesk, Fiona Fidler, Daniel G. Hamilton, Robin N. Abbey-Lee, Jessica K. Abbott, Luis A. Aguirre, Carles Alcaraz, Irith Aloni, Drew Altschul, Kunal Arekar, Jeff W. Atkins, Joe Atkinson, Christopher M. Baker, Meghan Barrett, Kristian Bell, Suleiman Kehinde Bello, Iván Beltrán, Bernd J. Berauer, Michael Grant Bertram, Peter D. Billman, Charlie K. Blake, Shannon Blake, Louis Bliard, Andrea Bonisoli-Alquati, Timothée Bonnet, Camille Nina Marion Bordes, Aneesh P. H. Bose, Thomas Botterill-James, Melissa Anna Boyd, Sarah A. Boyle, Tom Bradfer-Lawrence, Jennifer Bradham, Jack A. Brand, Martin I. Brengdahl, Martin Bulla, Luc Bussière, Ettore Camerlenghi, Sara E. Campbell, Leonardo L. F. Campos, Anthony Caravaggi, Pedro Cardoso, Charles J. W. Carroll, Therese A. Catanach, Xuan Chen, Heung Ying Janet Chik, Emily Sarah Choy, Alec Philip Christie, Angela Chuang, Amanda J. Chunco, Bethany L. Clark, Andrea Contina, Garth A. Covernton, Murray P. Cox, Kimberly A. Cressman, Marco Crotti, Connor Davidson Crouch, Pietro B. D’Amelio, Alexandra Allison de Sousa, Timm Fabian Döbert, Ralph Dobler, Adam J. Dobson, Tim S. Doherty, Szymon Marian Drobniak, Alexandra Grace Duffy, Alison B. Duncan, Robert P. Dunn, Jamie Dunning, Trishna Dutta, Luke Eberhart-Hertel, Jared Alan Elmore, Mahmoud Medhat Elsherif, Holly M. English, David C. Ensminger, Ulrich Rainer Ernst, Stephen M. Ferguson, Esteban Fernandez-Juricic, Thalita Ferreira-Arruda, John Fieberg, Elizabeth A. Finch, Evan A. Fiorenza, David N. Fisher, Amélie Fontaine, Wolfgang Forstmeier, Yoan Fourcade, Graham S. Frank, Cathryn A. Freund, Eduardo Fuentes-Lillo, Sara L. Gandy, Dustin G. Gannon, Ana I. García-Cervigón, Alexis C. Garretson, Xuezhen Ge, William L. Geary, Charly Géron, Marc Gilles, Antje Girndt, Daniel Gliksman, Harrison B. Goldspiel, Dylan G. E. Gomes, Megan Kate Good, Sarah C. Goslee, J. Stephen Gosnell, Eliza M. Grames, Paolo Gratton, Nicholas M. Grebe, Skye M. Greenler, Maaike Griffioen, Daniel M. Griffith, Frances J. Griffith, Jake J. Grossman, Ali Güncan, Stef Haesen, James G. Hagan, Heather A. Hager, Jonathan Philo Harris, Natasha Dean Harrison, Sarah Syedia Hasnain, Justin Chase Havird, Andrew J. Heaton, María Laura Herrera-Chaustre, Tanner J. Howard, Bin-Yan Hsu, Fabiola Iannarilli, Esperanza C. Iranzo, Erik N. K. Iverson, Saheed Olaide Jimoh, Douglas H. Johnson, Martin Johnsson, Jesse Jorna, Tommaso Jucker, Martin Jung, Ineta Kačergytė, Oliver Kaltz, Alison Ke, Clint D. Kelly, Katharine Keogan, Friedrich Wolfgang Keppeler, Alexander K. Killion, Dongmin Kim, David P. Kochan, Peter Korsten, Shan Kothari, Jonas Kuppler, Jillian M. Kusch, Malgorzata Lagisz, Kristen Marianne Lalla, Daniel J. Larkin, Courtney L. Larson, Katherine S. Lauck, M. Elise Lauterbur, Alan Law, Don-Jean Léandri-Breton, Jonas J. Lembrechts, Kiara L’Herpiniere, Eva J. P. Lievens, Daniela Oliveira de Lima, Shane Lindsay, Martin Luquet, Ross MacLeod, Kirsty H. Macphie, Kit Magellan, Magdalena M. Mair, Lisa E. Malm, Stefano Mammola, Caitlin P. Mandeville, Michael Manhart, Laura Milena Manrique-Garzon, Elina Mäntylä, Philippe Marchand, Benjamin Michael Marshall, Charles A. Martin, Dominic Andreas Martin, Jake Mitchell Martin, April Robin Martinig, Erin S. McCallum, Mark McCauley, Sabrina M. McNew, Scott J. Meiners, Thomas Merkling, Marcus Michelangeli, Maria Moiron, Bruno Moreira, Jennifer Mortensen, Benjamin Mos, Taofeek Olatunbosun Muraina, Penelope Wrenn Murphy, Luca Nelli, Petri Niemelä, Josh Nightingale, Gustav Nilsonne, Sergio Nolazco, Sabine S. Nooten, Jessie Lanterman Novotny, Agnes Birgitta Olin, Chris L. Organ, Kate L. Ostevik, Facundo Xavier Palacio, Matthieu Paquet, Darren James Parker, David J. Pascall, Valerie J. Pasquarella, John Harold Paterson, Ana Payo-Payo, Karen Marie Pedersen, Grégoire Perez, Kayla I. Perry, Patrice Pottier, Michael J. Proulx, Raphaël Proulx, Jessica L Pruett, Veronarindra Ramananjato, Finaritra Tolotra Randimbiarison, Onja H. Razafindratsima, Diana J. Rennison, Federico Riva, Sepand Riyahi, Michael James Roast, Felipe Pereira Rocha, Dominique G. Roche, Cristian Román-Palacios, Michael S. Rosenberg, Jessica Ross, Freya E. Rowland, Deusdedith Rugemalila, Avery L. Russell, Suvi Ruuskanen, Patrick Saccone, Asaf Sadeh, Stephen M. Salazar, Kris Sales, Pablo Salmón, Alfredo Sánchez-Tójar, Leticia Pereira Santos, Francesca Santostefano, Hayden T. Schilling, Marcus Schmidt, Tim Schmoll, Adam C. Schneider, Allie E. Schrock, Julia Schroeder, Nicolas Schtickzelle, Nick L. Schultz, Drew A. Scott, Michael Peter Scroggie, Julie Teresa Shapiro, Nitika Sharma, Caroline L. Shearer, Diego Simón, Michael I. Sitvarin, Fabrício Luiz Skupien, Heather Lea Slinn, Grania Polly Smith, Jeremy A. Smith, Rahel Sollmann, Kaitlin Stack Whitney, Shannon Michael Still, Erica F. Stuber, Guy F. Sutton, Ben Swallow, Conor Claverie Taff, Elina Takola, Andrew J. Tanentzap, Rocío Tarjuelo, Richard J. Telford, Christopher J. Thawley, Hugo Thierry, Jacqueline Thomson, Svenja Tidau, Emily M. Tompkins, Claire Marie Tortorelli, Andrew Trlica, Biz R. Turnell, Lara Urban, Stijn Van de Vondel, Jessica Eva Megan van der Wal, Jens Van Eeckhoven, Francis van Oordt, K. Michelle Vanderwel, Mark C. Vanderwel, Karen J. Vanderwolf, Juliana Vélez, Diana Carolina Vergara-Florez, Brian C. Verrelli, Marcus Vinícius Vieira, Nora Villamil, Valerio Vitali, Julien Vollering, Jeffrey Walker, Xanthe J. Walker, Jonathan A. Walter, Pawel Waryszak, Ryan J. Weaver, Ronja E. M. Wedegärtner, Daniel L. Weller, Shannon Whelan, Rachel Louise White, David William Wolfson, Andrew Wood, Scott W. Yanco, Jian D. L. Yen, Casey Youngflesh, Giacomo Zilio, Cédric Zimmer, Gregory Mark Zimmerman, Rachel A. Zitomer

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Study on Maximum Scour Depth at River Reach of Shantou Bay Subsea Tunnel Project by YANG Chen, GAO Shengjie, CHEN Guanming, ZHANG Shuohan

“…This paper studies the flow pattern and riverbed scouring at the river reach of Shantou Bay Subsea Tunnel Project through the river model test and analyzes the maximum scour depth of the riverbed near the project under unfavorable hydrological conditions.The results show that the maximum flood velocity at the tunnel section is above 1.5 m/s under unfavorable hydrological conditions,and riverbed scouring is obvious in the main channels of the left and right branches.The maximum scour depth of the riverbed at the tunnel site is 6.40 m and 5.24 m under the once-in-three-century and once-in-a-century hydrological conditions,respectively.The envelope results of the maximum scour depth at the tunnel section can provide a basis for determining the reasonable buried depth of the project,and the research results can provide reference for similar projects in Shantou Bay.…”
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Multi-Objective Optimization and Decision Making for Spatial Layout of Sponge Facilities by ZHANG Dongqing, DING Xiangyi, WANG Jia, SONG Tianxu, MA Mengyang

“…The risk of urban flooding and non-point source pollution intensifies due to climate change and urbanization.Sponge city,a nature-based solution to adapt to climate change,is being promoted in China.How to plan and design sponge facilities to give full play to their diversified benefits becomes the key to effectively constructing a sponge city.In this study,a multi-objective optimization coupling model was constructed based on the NSGA-Ⅲ algorithm and SWMM.TOPSIS method was used to screen out the optimization scheme,and the hydrological benefits,environmental benefits,and irrigation water demand of the optimization scheme under hydrological years with high,normal,and low flows were analyzed.The method was applied to Dongshan Campus of Shanxi University.The results indicate that the three optimal schemes show good hydrological and environmental benefits under typical hydrological years,with an average annual runoff reduction rate of 68.3% and an SS reduction rate of 83.7%.Scheme S1 is the closest to the ideal scheme and has the largest irrigation water demand, which is about 228 000 m³ per year. …”
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Permafrost pore structure and its influence on microbial diversity: Insights from X-ray computed tomography by Nathan D. Blais, Joy M. O’Brien, Hannah Holland-Moritz, Lauren Farnsworth, Robyn A. Barbato, Thomas A. Douglas, Alexandra Contosta, Julie Bobyock, Erin C. Rooney, Taylor Sullivan, Jessica Gilman Ernakovich

“…A notable impact of soil pore structure on microbial communities is the inverse relationship between microbial diversity and hydrological pore connectivity, where increased hydrological pore connectivity reduces microbial diversity. …”
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Detection and Attribution of a Spatial Heterogeneity in the Temporal Evolution of Bulgarian River Discharge by Natalya A. Kilifarska, Gergana I. Metodieva, Antonia Ch. Mokreva

“…A comparison of hydrological data with some climatic variables (i.e., temperature, precipitation, and ozone at 70 hPa), combined with neural network analysis results, suggests ozone as a possible reason for the heterogeneous hydrological response. …”
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Application of Coupling Model of Xin'anjiang River Runoff and TANK Confluence in Southern Humid Area by QIU Wenyi, ZHU Yongjun, ZHAN Zhongyu

“…Therefore, in areas with abundant precipitation and poor regional hydrological environment, it has better applicability.…”
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Forest Management in the Interface: Water Management by Susan W. Vince, Martha C. Monroe

“…Monroe, describes the role of forests in the water cycle and the hydrological effects of land development, and introduces four strategies for lessening the negative hydrological effects of urbanization: protecting forests, reducing impervious surface cover, controlling sources of pollutants, and managing stormwater runoff. …”
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Forest Management in the Interface: Water Management by Susan W. Vince, Martha C. Monroe

“…Monroe, describes the role of forests in the water cycle and the hydrological effects of land development, and introduces four strategies for lessening the negative hydrological effects of urbanization: protecting forests, reducing impervious surface cover, controlling sources of pollutants, and managing stormwater runoff. …”
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Fonctionnement hydrologique et enjeux de société : exemples de l’aquifère crayeux de l’Ouest du Bassin de Paris by Jean-Paul Dupont

“…The context of the chalk of the western Paris Basin is chosen here to illustrate the interactions between hydrological processes and human activities. On the plateaus, the input karst is covered by superficial formations more (clay with flints and Quaternary loesses). …”
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Prioritizinghydrological erosion-prone response units in Latyan catchment by Ali ahmad abadi, amir karam, Mohsen PourbashirHir

“…Hydrologic response units as a new approach can form smallest catchment study area. …”
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Investigating Water Balance Configuration in the Urban Areas of Mthatha, South Africa by Phelokazi S., Amoo O.T., Ikudayisi A., Nakin MDV.

“…Considering urbanization’s effects, quantifying individual components of the hydrological cycle, especially at the catchment scale, has been challenging due to the influence of climate change and human activities. …”
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New insights from an enhancement of hydrogeological archives of a French karst watershed over the last 50 years by Labat, David, Guilloteau, Thomas, Lamagnère, Sébastien, Dumareau, Thaïs, Haryouli, Gabin, Béranger, Sandra, Granouillac, Franck, Sivelle, Vianney

“…Karst aquifers, like most hydrological systems, are sensitive to the influence of changes in land use as well as current and future climate change. …”
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