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Journal articles on the topic 'SWAT'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Zhang, Ying, Jinliang Hou, Yongpan Cao, Juan Gu, and Chunlin Huang. "OpenMP parallelization of a gridded SWAT (SWATG)." Computers & Geosciences 109 (December 2017): 228–37. http://dx.doi.org/10.1016/j.cageo.2017.08.002.

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2

Michael, Mark A. "To Swat or Not to Swat." Environmental Ethics 18, no. 2 (1996): 165–80. http://dx.doi.org/10.5840/enviroethics199618230.

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3

Klein, George C. "Thinking SWAT." Journal of Police Crisis Negotiations 3, no. 1 (2003): 59–83. http://dx.doi.org/10.1300/j173v03n01_05.

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4

Yusuf, Ilona. "from Swat." Journal of Postcolonial Writing 47, no. 2 (2011): 228–31. http://dx.doi.org/10.1080/17449855.2011.557241.

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5

Chapman, Suzy. "Virtual swat." New Scientist 213, no. 2856 (2012): 31. http://dx.doi.org/10.1016/s0262-4079(12)60699-x.

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Kışlıoğlu, Halil Emre, Şehnaz Şule Bekaroğlu, and Filiz Dadaser-celik. "GÜNEY MARMARA HAVZASI’NDA SWAT+ MODELİ İLE HİDROLOJİK MODELLEME." Mühendislik Bilimleri ve Tasarım Dergisi 12, no. 3 (2024): 531–43. http://dx.doi.org/10.21923/jesd.1473890.

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Bu çalışmada, SWAT+ hidrolojik modelinin ve SWAT+ Toolbox yazılımının Güney Marmara Havzası'ndaki performansı araştırılmaktadır. Hidrolojik modeller, hidrolojik döngüyü ve ilgili süreçleri analiz etmek için karmaşık havza yapılarını basitleştiren, su havzalarında etkili yönetim için kullanılan önemli araçlardır. Hidrolojik modeller, su yönetiminden hidrolojik araştırmalara kadar geniş bir uygulama alanına sahiptir. Hidrolojik modellerin özellikle son yıllarda kuraklık, taşkın, iklim değişikliği ve arazi kullanım değişikliği gibi nehir akımları ve diğer hidrolojik parametreler üzerindeki etkile

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7

Zare, Mohammad, Shahid Azam, and David Sauchyn. "A Modified SWAT Model to Simulate Soil Water Content and Soil Temperature in Cold Regions: A Case Study of the South Saskatchewan River Basin in Canada." Sustainability 14, no. 17 (2022): 10804. http://dx.doi.org/10.3390/su141710804.

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Soil water content (SWC) and soil temperature are important hydrologic state variables. Accurate model simulation is critical in hydrologic regimes in cold regions dominated by spring snowmelt. In this study, we developed a combined physically-based soil temperature and energy-balance rain-on-snow (ROS) module for the Soil and Water Assessment Tool (SWAT) model and applied it to the South Saskatchewan River Basin (SSRB). We calibrated the SWAT base (SWAT-B) model and the SWAT modified (SWAT–M) model using daily measured soil temperature and SWC by hydrological response unit (HRU) for the years

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Yuan, Lifeng, and Kenneth J. Forshay. "Evaluating Monthly Flow Prediction Based on SWAT and Support Vector Regression Coupled with Discrete Wavelet Transform." Water 14, no. 17 (2022): 2649. http://dx.doi.org/10.3390/w14172649.

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Reliable and accurate streamflow prediction plays a critical role in watershed water resources planning and management. We developed a new hybrid SWAT-WSVR model based on 12 hydrological sites in the Illinois River watershed (IRW), U.S., that integrated the Soil and Water Assessment Tool (SWAT) model with a Support Vector Regression (SVR) calibration method coupled with discrete wavelet transforms (DWT) to better support modeling watersheds with limited data availability. Wavelet components of the simulated streamflow from the SWAT-Calibration Uncertainty Procedure (SWAT-CUP) and precipitation

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9

Dzulfiqar, Muhammad Fakhri, and Asep Sapei. "Kinerja Program Soil and Water Assessment Tools (SWAT) yang Dimodifikasi untuk Menduga Debit Sub-DAS Cimanuk Hulu." Jurnal Teknik Sipil dan Lingkungan 8, no. 03 (2023): 157–66. http://dx.doi.org/10.29244/jsil.8.03.157-166.

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Soil and Water Assessment Tool (SWAT) merupakan sebuah model hidrologi yang dikembangkan di Amerika Serikat untuk menganalisis dampak dari perubahan tata guna lahan terhadap hasil air (debit) dan sedimentasi. Model ini telah banyak diterapkan di Asia. Akan tetapi, neraca air di dalam model SWAT menggunakan neraca air untuk tanaman yang ditanam pada lahan kering (up land) termasuk tanaman padi. Di Asia, khususnya di Indonesia, tanaman padi umumnya ditanam di lahan sawah. Untuk menyesuaikan dengan kondisi lahan sawah, model SWAT telah dimodifikasi dengan mengacu kepada algoritma sawah yang dikem

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Akmal Ikhsan Maulana and Asep Sapei. "SWAT Model Performance on QSWAT Program to Predict Water Discharge in the Upper Citanduy Sub-watershed." Jurnal Teknik Sipil dan Lingkungan 10, no. 1 (2025): 115–26. https://doi.org/10.29244/jsil.10.1.115-126.

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The Citanduy Watershed is one of the largest watersheds on Java Island and is in critical condition. The Upper Citanduy Sub-watershed is the main sub-watershed in the Citanduy Watershed, which needs attention because it greatly affects the quantity and quality of its water. The Soil and Water Assessment Tool (SWAT) model, which is a hydrological model developed in the United States, can be used to predict the quantity of water. However, the water balance in the SWAT model uses the water balance for plants planted on dry land (up land) and is less suitable for watersheds that have rice fields (

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11

Gunn, Kpoti M., Anthony R. Buda, Heather E. Preisendanz, Raj Cibin, Casey D. Kennedy, and Tamie L. Veith. "Integrating Daily CO2 Concentrations in SWAT-VSA to Examine Climate Change Impacts on Hydrology in a Karst Watershed." Transactions of the ASABE 64, no. 4 (2021): 1303–18. http://dx.doi.org/10.13031/trans.13711.

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HighlightsWe used SWAT-VSA to assess the effects of climate change with rising CO2 on the water balance of a karst basin.For future climate, SWAT-VSA with rising CO2 yielded 7.1% less ET and 6.3% more runoff than standard SWAT-VSA.Rising CO2 also affected variable source areas, with greater ET declines and runoff increases in the wettest soils.Findings suggest CO2 effects on water balance should be included in future climate change studies with SWAT-VSA.Abstract. Characterizing the effects of climate change on hydrology is important to watershed management. In this study, we used SWAT-VSA to e

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12

Fausan, Ahmad, Asep Sapei, Yuli Suharnoto, and Nora Herdiana Pandjaitan. "Analysis of Maros River Discharge Using the Modified Soil and Water Assessment Tools (SWAT) Program." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 11, no. 1 (2022): 146. http://dx.doi.org/10.23960/jtep-l.v11i1.146-160.

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Soil and Water Assessment Tools (SWAT) which is developed in America was used to analyze the effect of land management on discharge, sedimentation, and water quality in a river basin area. The hydrological conditions in the Americas are different from Indonesia, so a modified SWAT is done. This research aimed to implement a modified SWAT program to predict the results of a better discharge analysis based on hydrological analysis in the sub-Watershed area. About 13.90% of the area was paddy fields. The evaluation of the module had been done by looking at the coefficient of determination (R²) an

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Yen, Haw, Seonggyu Park, Jeffrey G. Arnold, et al. "IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+." Water 11, no. 8 (2019): 1681. http://dx.doi.org/10.3390/w11081681.

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For almost 30 years, the Soil and Water Assessment Tool (SWAT) has been successfully implemented to address issues around various scientific subjects in the world. On the other hand, it has been reaching to the limit of potential flexibility in further development by the current structure. The new generation SWAT, dubbed SWAT+, was released recently with entirely new coding features. SWAT+ is designed to have far more advanced functions and capacities to handle challenging watershed modeling tasks for hydrologic and water quality processes. However, it is still inevitable to conduct model cali

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14

Her, Younggu, and Jeahak Jeong. "SWAT+ versus SWAT2012: Comparison of Sub-Daily Urban Runoff Simulations." Transactions of the ASABE 61, no. 4 (2018): 1287–95. http://dx.doi.org/10.13031/trans.12600.

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Abstract. The current FORTRAN code of SWAT (SWAT2012) is being rebuilt to ease new model and module development by incorporating object-oriented programming techniques into defining spatial objects and calculating variables. SWAT+, the new SWAT code, is expected to offer flexible watershed representation with linked spatial objects. Ideally, SWAT+ produces outputs that are comparable to SWAT2012, if not identical, when the two versions of SWAT are set with the same input for a watershed. However, the drastic restructuring of the source code may cause unexpected results in the output, especiall

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15

Zhang, Dejian, Wenjie Fu, Qiaoying Lin, and Xingwei Chen. "WOF-SWAT: A Web-Based Open-Source Framework for Investigating the Hydrological Impacts of Climate Change and Human Activities Through Online Simulation and Visualization of SWAT Models." ISPRS International Journal of Geo-Information 8, no. 9 (2019): 368. http://dx.doi.org/10.3390/ijgi8090368.

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This study developed a web-based open-source framework based on the Soil and Water Assessment Tool (SWAT), named WOF-SWAT (web-based open-source framework for SWAT), to investigate individual and combined impacts of climate change, land use change, and point-source pollutants on watershed-scale hydrological and chemical processes. The architecture, workflows, interfaces, and key processes of WOF-SWAT are described and discussed. Using a previously developed well-calibrated hydrological model of the Jinjiang River basin, four scenarios were simulated in WOF-SWAT and other traditional desktop-ba

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16

Nguyen, Van, Jörg Dietrich, Bhumika Uniyal, and Dang Tran. "Verification and Correction of the Hydrologic Routing in the Soil and Water Assessment Tool." Water 10, no. 10 (2018): 1419. http://dx.doi.org/10.3390/w10101419.

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The Soil and Water Assessment Tool (SWAT) is one of the most widely used eco-hydrological models. SWAT has been undergoing constant changes since its development. However, compartment review and testing of SWAT, especially the hydrologic routing functions, are comparably limited. In this study, the daily hydrologic routing subroutines of different SWAT versions were reviewed and tested using a well observed segment of the Weser River located in Germany. Results show several problems with the routing subroutines of SWAT. The variable storage subroutine of SWAT (Revision 664) does not transform

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17

Weiss, Rick. "The Swat Team." Science News 137, no. 5 (1990): 72. http://dx.doi.org/10.2307/3974379.

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18

Olivera, Francisco, Milver Valenzuela, R. Srinivasan, et al. "ARCGIS-SWAT: A GEODATA MODEL AND GIS INTERFACE FOR SWAT." Journal of the American Water Resources Association 42, no. 2 (2006): 295–309. http://dx.doi.org/10.1111/j.1752-1688.2006.tb03839.x.

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19

Molina-Navarro, Eugenio, Ryan T. Bailey, Hans Estrup Andersen, et al. "Comparison of abstraction scenarios simulated by SWAT and SWAT-MODFLOW." Hydrological Sciences Journal 64, no. 4 (2019): 434–54. http://dx.doi.org/10.1080/02626667.2019.1590583.

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20

Upadhyay, Pawan, Anna Linhoss, Chris Kelble, Steve Ashby, Naja Murphy, and Prem B. Parajuli. "Applications of the SWAT Model for Coastal Watersheds: Review and Recommendations." Journal of the ASABE 65, no. 2 (2022): 453–69. http://dx.doi.org/10.13031/ja.14848.

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HighlightsA systematic review was performed of SWAT applications in coastal watersheds.Three percent of SWAT applications have occurred in coastal watersheds.SWAT performed better at a monthly time step versus a daily time step.Nash-Sutcliffe efficiency (NSE) was the most common metric used for evaluating simulations.More research should be conducted on coupling SWAT with hydrodynamic models in tidal systems.Abstract. The Soil and Water Assessment Tool (SWAT) is a watershed to river basin scale model widely used to simulate the quality and quantity of surface water and groundwater. SWAT has be

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21

Shao, Guangwen, Danrong Zhang, Yiqing Guan, Yuebo Xie, and Feng Huang. "Application of SWAT Model with a Modified Groundwater Module to the Semi-Arid Hailiutu River Catchment, Northwest China." Sustainability 11, no. 7 (2019): 2031. http://dx.doi.org/10.3390/su11072031.

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In the original soil and water assessment Tool (SWAT) model (SWAT-O), the contributions of shallow aquifers and deep aquifers to streamflow are simulated using the linear reservoir method. The movement of groundwater was limited in the hydrological response unit which is a minimum calculation unit in the SWAT. However, this computational method may not be suitable for the areas where a groundwater system is complicated, and the river is predominately recharged by groundwater. In this paper, we proposed an enhanced groundwater module which divides shallow aquifers into upper and lower aquifers,

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22

Huang, Chunlin, Ying Zhang, and Jinliang Hou. "Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observations." Remote Sensing 16, no. 21 (2024): 3999. http://dx.doi.org/10.3390/rs16213999.

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In order to anticipate residual errors and improve accuracy while reducing uncertainties, this work integrates the long short-term memory (LSTM) with the Soil and Water Assessment Tool (SWAT) to create a deep learning (DL) model that is guided by physics. By forecasting the residual errors of the SWAT model, the SWAT-informed LSTM model (LSTM-SWAT) differs from typical LSTM approaches that predict the streamflow directly. Through numerical tests, the performance of the LSTM-SWAT was evaluated with both LSTM-only and SWAT-only models in the Upper Heihe River Basin. The outcomes showed that the

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23

Bo, Huijuan, Xiaohua Dong, Zhonghua Li, Gebrehiwet Reta, Lu li, and Chong Wei. "Comparison of Two Versions of SWAT Models in Predicting the Streamflow in the Xuanmiaoguan Reservoir Catchment." Nature Environment and Pollution Technology 21, no. 2 (2022): 529–41. http://dx.doi.org/10.46488/nept.2022.v21i02.011.

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Correct streamflow prediction is critical for determining the availability and efficiency of watershed spatial plans and water resource management. In the Xuanmiaoguan (XMG) Reservoir Catchment, two different versions of the Soil and Water Assessment Tool (SWAT) model are compared to discharge predictions. One version is the Topo-SWAT, in which the overland flow is generated by saturation excess (Dunne) runoff mechanism, while the other is driven by infiltration excess runoff mechanism, i.e., the Regular-SWAT. These SWAT models were calibrated and validated with discharge at daily and monthly

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Steenhuis, Tammo S., Elliot M. Schneiderman, Rajith Mukundan, Linh Hoang, Mamaru Moges, and Emmet M. Owens. "Revisiting SWAT as a Saturation-Excess Runoff Model." Water 11, no. 7 (2019): 1427. http://dx.doi.org/10.3390/w11071427.

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The Soil Water Assessment Tool (SWAT) is employed throughout the world to simulate watershed processes. A limitation of this model is that locations of saturation excess overland flow in hilly and mountainous regions with an impermeable layer at shallow depth cannot be simulated realistically. The objective of this research is to overcome this limitation with minor changes in the original SWAT code. The new approach is called SWAT-with-impervious-layers (SWAT-wil). Adaptations consisted of redefining the hillslope length, restricting downward percolation from the root zone, and redefining hydr

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Meng, Xianyong, Xuesong Zhang, Mingxiang Yang, et al. "Application and Evaluation of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in Poorly Gauged Regions in Western China." Water 11, no. 10 (2019): 2171. http://dx.doi.org/10.3390/w11102171.

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The temporal and spatial differentiation of the underlying surface in East Asia is complex. Due to a lack of meteorological observation data, human cognition and understanding of the surface processes (runoff, snowmelt, soil moisture, water production, etc.) in the area have been greatly limited. With the Heihe River Basin, a poorly gauged region in the cold region of Western China, selected as the study area, three meteorological datasets are evaluated for their suitability to drive the Soil and Water Assessment Tool (SWAT): China Meteorological Assimilation Driving Datasets for the SWAT mode

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Kakarndee, Isared, and Ekasit Kositsakulchai. "Comparison between SWAT and SWAT+ for simulating streamflow in a paddy-field-dominated basin, northeast Thailand." E3S Web of Conferences 187 (2020): 06002. http://dx.doi.org/10.1051/e3sconf/202018706002.

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The performance of the well-known Soil and Water Assessment Tool (SWAT) and the new SWAT+ for streamflow simulation in a paddy- field-dominated basin was compared. The Lam Sioa River Basin, northeast Thailand (drainage area of 3,394 km2) was selected. The data inputs consisted of DEM, land use, soil, and climate (rainfall, temperature, sunshine hour, wind speed and humidity). The model parameters used the default values from SWAT database and daily simulation was conducted from 2005 to 2017. The division of sub-basins into “landscape units” is one of new features of SWAT+. The total number of

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Karki, Ritesh, Puneet Srivastava, and Tamie L. Veith. "Application of the Soil and Water Assessment Tool (SWAT) at Field Scale: Categorizing Methods and Review of Applications." Transactions of the ASABE 63, no. 2 (2020): 513–22. http://dx.doi.org/10.13031/trans.13545.

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HighlightsThis review study identified five different ways of setting up a SWAT model for field-scale analysis.Model setup for each field-scale modeling method and examples of application are discussed.Benefits and limitations of each method are discussed.Abstract. Although the Soil and Water Assessment Tool (SWAT) has been widely used as a watershed/basin scale model, recently there has been considerable interest in applying it at the field scale, especially for evaluation of best management practices and for building stakeholder confidence. In this study, a thorough review of the literature

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Rahma Yanti, Nika, Rusnam Rusnam, and Eri Gas Ekaputra. "ANALISIS DEBIT PADA DAS AIR DINGIN MENGGUNAKAN MODEL SWAT." Jurnal Teknologi Pertanian Andalas 21, no. 2 (2017): 127. http://dx.doi.org/10.25077/jtpa.21.2.127-137.2017.

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Perubahan penggunaan lahan dari lahan bervegetasi ke non vegetasi mengakibatkan besarnya limpasan (run off) sehingga debit menjadi meningkat terutama pada musim hujan. Penelitian ini dilakukan untuk menganalisis debit pada DAS Air Dingin menggunakan model SWAT dan apakah model SWAT dapat diterapkan dalam mempresentasikan debit pada DAS Air Dingin. Model SWAT memerlukan data iklim, peta dan data tanah, curah hujan, kelerengan dan peta penggunaan lahan. Adapun tahapan yang dilakukan yaitu penyiapan data dan peta, deliniasi DAS, pembentukan HRU, simulasi visualisasi, kalibrasi, dan simulasi denga

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Lee, Chang-Hun, Namjoo Lee, and Jong-Tae Kim. "SWAT model calibration/validation using SWAT-CUP in Danjang-stream watershed." Journal of the Korea Academia-Industrial cooperation Society 22, no. 9 (2021): 235–46. http://dx.doi.org/10.5762/kais.2021.22.9.235.

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Williams, Jimmy J., and David Westall. "SWAT and non-SWAT police officers and the use of force." Journal of Criminal Justice 31, no. 5 (2003): 469–74. http://dx.doi.org/10.1016/s0047-2352(03)00051-5.

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Fu, Congsheng, April L. James, and Huaxia Yao. "SWAT-CS: Revision and testing of SWAT for Canadian Shield catchments." Journal of Hydrology 511 (April 2014): 719–35. http://dx.doi.org/10.1016/j.jhydrol.2014.02.023.

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Yuan, Lifeng, and Kenneth J. Forshay. "Enhanced streamflow prediction with SWAT using support vector regression for spatial calibration: A case study in the Illinois River watershed, U.S." PLOS ONE 16, no. 4 (2021): e0248489. http://dx.doi.org/10.1371/journal.pone.0248489.

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Accurate streamflow prediction plays a pivotal role in hydraulic project design, nonpoint source pollution estimation, and water resources planning and management. However, the highly non-linear relationship between rainfall and runoff makes prediction difficult with desirable accuracy. To improve the accuracy of monthly streamflow prediction, a seasonal Support Vector Regression (SVR) model coupled to the Soil and Water Assessment Tool (SWAT) model was developed for 13 subwatersheds in the Illinois River watershed (IRW), U.S. Terrain, precipitation, soil, land use and land cover, and monthly

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Yu, Dan, Ping Xie, Xiaohua Dong, et al. "Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale." Hydrology and Earth System Sciences 22, no. 9 (2018): 5001–19. http://dx.doi.org/10.5194/hess-22-5001-2018.

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Abstract. Flooding represents one of the most severe natural disasters threatening the development of human society. A model that is capable of predicting the hydrological responses in watershed with management practices during flood period would be a crucial tool for pre-assessment of flood reduction measures. The Soil and Water Assessment Tool (SWAT) is a semi-distributed hydrological model that is well capable of runoff and water quality modeling under changed scenarios. The original SWAT model is a long-term yield model. However, a daily simulation time step and a continuous time marching

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Duane, Sinead, Akke Vellinga, Valerie Smith, et al. "The effectiveness of digital multimedia presentation of trial information on recruitment and retention of patients: Protocol for a study within a trial (SWAT)." HRB Open Research 3 (March 30, 2020): 10. http://dx.doi.org/10.12688/hrbopenres.12994.1.

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Background: Studies within trials (SWATs) present an opportunity to examine design factors that may impact on the successful delivery of trials. One area in need of research is trial recruitment. Recruiting patients to trials is a major challenge facing trialists. Failure to meet recruitment targets can result in delays and underpowered studies. This SWAT evaluates the effectiveness of hand-held digital multimedia presentation of trial information and standard written patient information to potential participants on recruitment and retention to a host trial. Methods: This is the protocol for S

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Rao, I. Bhaskara, K. V. Rao, M. Nemichandrappa, G. V. Srinivasa Reddy, B. S. Polisgowdar, and M. Udaya Bhanu. "Hydrological Modeling of Krishna Upper Catchment Area of India Using Multisite Calibration and Validation of SWAT Model." Journal of Geography, Environment and Earth Science International 28, no. 11 (2024): 123–47. http://dx.doi.org/10.9734/jgeesi/2024/v28i11842.

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Multisite calibration & validation of model reduces the uncertainty present in the model parameters and improve the SWAT model output. In the present study, an effort was made to set up SWAT model along with multisite calibration and validation for Kishna upper basin of India. A total of six gauging stations maintained by Central water commission across the area were selected for SWAT model calibration and validation. Sequential Uncertainty Fitting (SUFI-2) programme of SWAT-CUP (Calibration and Uncertainty Programme) was employed to calibrate the SWAT model. During sensitivity analysis of

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Dinakhel, Muhammad Ali. "Swat State and Bolshevik Movement." Central Asia 85, Winter (2020): 95–117. http://dx.doi.org/10.54418/ca-85.13.

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Swat State was formally established in 1915 by the first ruler of Swat State, Syed Abdul Jabar Shah. In the month of September 1917 he was dethroned on account of his alleged attachment with Qadyani/Ahmadi sect. After his removal from rule and subsequent exile, Miangul Abdul Wadud was installed as ruler of Swat in the month of September 1917. Swat State was recognized by the British Government in 1926. The recognition was granted with the condition that the state’s rulers will not act against the British Government. When in 1917 the Bolshevik Movement emerged in Russia, it also influenced Swat

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Tsuchiya, Ryota, Tasuku Kato, Jaehak Jeong, and Jeffrey Arnold. "Development of SWAT-Paddy for Simulating Lowland Paddy Fields." Sustainability 10, no. 9 (2018): 3246. http://dx.doi.org/10.3390/su10093246.

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The recent increase in global consumption of rice has led to increased demand for sustainable water management in paddy cultivation. In this study, we propose an enhanced paddy simulation module to be introduced to Soil and Water Assessment Tool (SWAT) to evaluate the sustainability of paddy cultivation. The enhancements added to SWAT include: (1) modification of water balance calculation for impounded fields, (2) addition of an irrigation management option for paddy fields that are characterized by flood irrigation with target water depth, and (3) addition of a puddling operation that influen

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Azim, Syed Wasif, Wajid Mehmood, and Sajjad Hussain. "Swat Conflict in Retrospect: Violence and Jarga among the Swat Pukhtuns in Pakistan." Liberal Arts and Social Sciences International Journal (LASSIJ) 2, no. 1 (2018): 37–48. http://dx.doi.org/10.47264/idea.lassij/2.1.5.

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Violent conflicts have perpetual and perennial impacts on societies. Culture and ethnic identities of the people are no exception. This study reflects the impacts of conflict and violence on culture, specifically a single cultural code known as Jarga. Methodologically, the study is based on an ethnographic fieldwork, comprised of 45 open-ended and in-depth interviews, five Focus Group Discussions and personal observation in Swat. Through the conflict in Swat and Pukhtun cultural code of Jarga, it contends that the conflict and violence in Swat has multiple and significant impacts for Jarga. Ja

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Young, Andrew T., Chris Hennington, and Dane Eggleston. "US SWAT operator experience, personality, cognitive-emotion regulation and decision-making style." Policing: An International Journal 41, no. 2 (2018): 247–61. http://dx.doi.org/10.1108/pijpsm-10-2016-0156.

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Purpose The purpose of this paper is to examine SWAT operator deployment experience, personality, cognitive-emotion regulation, and decision making to see if there were correlations with successful SWAT callout resolution. These findings would then be compared with the results of a national survey of hostage (crisis) negotiators in the hopes of finding information that might be helpful with team dynamics, officer selection for these teams, and with operational dynamics and successful resolution of SWAT callouts. Design/methodology/approach Active SWAT officers (n=277) from various law enforcem

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Mann, B. S., J. R. Johnson, K. He, et al. "Utility of photography to confirm skin lesion response assessed using a severity weighted assessment tool (SWAT) in cutaneous T-cell lymphoma (CTCL)." Journal of Clinical Oncology 25, no. 18_suppl (2007): 6579. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.6579.

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6579 Background: In Oct 2006, FDA approved vorinostat for treatment of cutaneous manifestations of CTCL–based on response rate and duration of response observed in CTCL skin lesions. Response was determined by change in SWAT score at follow up compared to the baseline score. SWAT Score: sum of % Body Surface Area weighted by factor 1, 2, or 4 for patch (no elevation from normal skin), plaque (< 5 mm elevation) and tumor (= 5 mm elevation), respectively. All responses but one were partial. A partial response required = 50% reduction in whole body SWAT score lasting = 4 weeks. FDA also review

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Bailey, Ryan T., Katrin Bieger, Jeffrey G. Arnold, and David D. Bosch. "A New Physically-Based Spatially-Distributed Groundwater Flow Module for SWAT+." Hydrology 7, no. 4 (2020): 75. http://dx.doi.org/10.3390/hydrology7040075.

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Watershed models are used worldwide to assist with water and nutrient management under conditions of changing climate, land use, and population. Of these models, the Soil and Water Assessment Tool (SWAT) and SWAT+ are the most widely used, although their performance in groundwater-driven watersheds can sometimes be poor due to a simplistic representation of groundwater processes. The purpose of this paper is to introduce a new physically-based spatially-distributed groundwater flow module called gwflow for the SWAT+ watershed model. The module is embedded in the SWAT+ modeling code and is inte

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Bateman, Vesta I., Randall L. Mayes, and Thomas G. Carne. "Comparison of Force Reconstruction Methods for a Lumped Mass Beam." Shock and Vibration 4, no. 4 (1997): 231–39. http://dx.doi.org/10.1155/1997/642780.

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Two extensions of the force reconstruction method, the sum of weighted accelerations technique (SWAT), are presented in this article. SWAT requires the use of the structure’s elastic mode shapes for reconstruction of the applied force. Although based on the same theory, the two new techniques do not rely on mode shapes to reconstruct the applied force and may be applied to structures whose mode shapes are not available. One technique uses the measured force and acceleration responses with the rigid body mode shapes to calculate the scalar weighting vector, so the technique is called SWAT-CAL (

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Li, Dachen, Simin Qu, Peng Shi, et al. "Development and Integration of Sub-Daily Flood Modelling Capability within the SWAT Model and a Comparison with XAJ Model." Water 10, no. 9 (2018): 1263. http://dx.doi.org/10.3390/w10091263.

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To date, floods have become one of the most severe natural disasters on Earth. Flood forecasting with hydrological models is an important non-engineering measure for flood control and disaster reduction. The Xin’anjiang (XAJ) model is the most widely used hydrological model in China for flood forecasting, while the Soil and Water Assessment Tool (SWAT) model is widely applied for daily and monthly simulation and has shown its potential for flood simulation. The objective of this paper is to evaluate the performance of the SWAT model in simulating floods at a sub-daily time-scale in a slightly

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Kim, Dongho, Jiwon Lee, Hyemin Jeong, Yongsung Kwon, Byeongwon Lee, and Sangchul Lee. "Application and evaluation of SWAT-C model to predict TOC loading in the Hwangryong River Watershed." Journal of Korean Society of Environmental Engineers 44, no. 10 (2022): 354–65. http://dx.doi.org/10.4491/ksee.2022.44.10.354.

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Objectives : This study aims to assess the applicability of the SWAT-C water quality model recently developed to predict in-stream Total Organic Carbon (TOC) in a watershed within South Korea.Methods : The SWAT-C model was tested in the Hwangryong River Watershed. SWAT-C is an advanced version of Soil and Water Assessment Tool (SWAT) to simulate carbon cycling at the watershed scale. The model was simulated for 11 years (2010-2020) consisting of 2-year warm-up (2010-2011), 6-year calibration (2012-2017), and 3-year validation (2018-2020) periods. SWAT-C was calibrated and validated against mon

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Kumar, Eeshan, Dharmendra Saraswat, and Gurdeep Singh. "Comparative Analysis of Bioenergy Crop Impacts on Water Quality Using Static and Dynamic Land Use Change Modeling Approach." Water 12, no. 2 (2020): 410. http://dx.doi.org/10.3390/w12020410.

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Researchers and federal and state agency officials have long been interested in evaluating location-specific impact of bioenergy energy crops on water quality for developing policy interventions. This modeling study examines long-term impact of giant miscanthus and switchgrass on water quality in the Cache River Watershed (CRW) in Arkansas, United States. The bioenergy crops were simulated on marginal lands using two variants of a Soil and Watershed Assessment Tool (SWAT) model. The first SWAT variant was developed using a static (single) land-use layer (regular-SWAT) and for the second, a dyn

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Zhang, Limin, Xianyong Meng, Hao Wang, Mingxiang Yang, and Siyu Cai. "Investigate the Applicability of CMADS and CFSR Reanalysis in Northeast China." Water 12, no. 4 (2020): 996. http://dx.doi.org/10.3390/w12040996.

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Reanalysis datasets can provide alternative and complementary meteorological data sources for hydrological studies or other scientific studies in regions with few gauge stations. This study evaluated the accuracy of two reanalysis datasets, the China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS) and Climate Forecast System Reanalysis (CFSR), against gauge observations (OBS) by using interpolation software and statistical indicators in Northeast China (NEC), as well as their annual average spatial and monthly average distributions. The

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Tao, Jiahui, Yicheng Gu, Xin Yin, Junlai Chen, Tianqi Ao, and Jianyun Zhang. "Coupling SWAT and Transformer Models for Enhanced Monthly Streamflow Prediction." Sustainability 16, no. 19 (2024): 8699. http://dx.doi.org/10.3390/su16198699.

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The establishment of an accurate and reliable predictive model is essential for water resources planning and management. Standalone models, such as physics-based hydrological models or data-driven hydrological models, have their specific applications, strengths, and limitations. In this study, a hybrid model (namely SWAT-Transformer) was developed by coupling the physics-based Soil and Water Assessment Tool (SWAT) with the data-driven Transformer to enhance monthly streamflow prediction accuracy. SWAT is first constructed and calibrated, and then its outputs are used as part of the inputs to T

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Koycegiz, Cihangir, and Meral Buyukyildiz. "Calibration of SWAT and Two Data-Driven Models for a Data-Scarce Mountainous Headwater in Semi-Arid Konya Closed Basin." Water 11, no. 1 (2019): 147. http://dx.doi.org/10.3390/w11010147.

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Hydrologic models are important tools for the successful management of water resources. In this study, a semi-distributed soil and water assessment tool (SWAT) model is used to simulate streamflow at the headwater of Çarşamba River, located at the Konya Closed Basin, Turkey. For that, first a sequential uncertainty fitting-2 (SUFI-2) algorithm is employed to calibrate the SWAT model. The SWAT model results are also compared with the results of the radial-based neural network (RBNN) and support vector machines (SVM). The SWAT model performed well at the calibration stage i.e., determination coe

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Moges, Desalew Meseret, Holger Virro, Alexander Kmoch, et al. "Streamflow Prediction with Time-Lag-Informed Random Forest and Its Performance Compared to SWAT in Diverse Catchments." Water 16, no. 19 (2024): 2805. http://dx.doi.org/10.3390/w16192805.

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This study introduces a time-lag-informed Random Forest (RF) framework for streamflow time-series prediction across diverse catchments and compares its results against SWAT predictions. We found strong evidence of RF’s better performance by adding historical flows and time-lags for meteorological values over using only actual meteorological values. On a daily scale, RF demonstrated robust performance (Nash–Sutcliffe efficiency [NSE] > 0.5), whereas SWAT generally yielded unsatisfactory results (NSE < 0.5) and tended to overestimate daily streamflow by up to 27% (PBIAS). However, SWAT pro

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Laux, Lori, Karen Dysert, Sharon Kiely, and Jeff Weimerskirch. "Trauma VAP SWAT Team." Critical Care Nursing Quarterly 33, no. 2 (2010): 126–31. http://dx.doi.org/10.1097/cnq.0b013e3181d911bb.

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