1,721,380 research outputs found
SWAT Literature Database
No full textWelcome to the SWAT Literature Database for Peer-Reviewed Journal Articles. The database is an outgrowth of the “SWAT review article” that was published in Trans. ASABE in 2007
(Gassman et al., 2007), that can be accessed at https://swat.tamu.edu/publications/
(Comprehensive review of SWAT model article). Gassman et al (2014) provided description of the types of studies included, database structure, search options and other details for the database at that time (1,700 articles were indexed at that point
Dr. Raghavan Srinivasan (https://blackland.tamu.edu/people/srinivasan-raghavan/) provided
the initial inspiration for the database. Mr. Curtis Balmer, Center for Agricultural and Rural Development (CARD), Iowa State University (ISU), created and maintained the on-line database
from 2009 through the middle of 2022 (until his untimely death). Administration of the database was transferred to Texas A&M AgriLife on October 1, 2024 and is now accessible at
https://litdb.swat.tamu.ed
SWAT streamflow calibration statistics and calibration parameter values for the HUC2-02 Mid-Atlantic Region
No full textThe dataverse encompasses comprehensive data on streamflow calibration parameters at the HUC12 scale across the United States. This dataset is derived from two calibration studies: 1) Calibration of the SWAT model for gaged watersheds (Bawa et al., 2023, Journal of Hydrology) and 2) Regionalization of Calibration Parameters using Machine Learning and Physical Similarity to extend calibration parameters from gaged to ungagged HUC12 subbasins (Bawa et al., 2023, Water Resource Research).
The dataset includes information specifically on the HUC12 scale streamflow calibration of the HUC2-02 Mid-Atlantic Region. Table A1 presents calibration statistics before and after machine learning-based regionalization of calibration parameters and Table 2 provides calibration parameter values for all 3,036 HUC12 subbasins within the HUC2-02 region
SWAT Literature Database for peer-reviewed journal articles
No full textThe SWAT Literature Database for Peer-Reviewed Journal Articles is repository of citation data for studies published in reputable peer-reviewed journals that describe: (1) applications of SWAT or SWAT+, (2) applications of modified SWAT or SWAT+ models, (3) review studies focused either on SWAT or comparisons of SWAT with other models, (4) studies that describe data and/or component development directly relevant to SWAT users, (5) studies which describe key predecessor or related models, and (6) literature citation or bibliometric studies
HAWQS System and Data to model the lower 48 conterminous U.S using the SWAT model
No full textThe Hydrologic and Water Quality System (HAWQS) is a web-based modeling platform that utilizes the Soil and Water Assessment Tool (SWAT) for regional to nationwide assessments of different scenarios for water quality and hydrology. HAWQS allows users to easily create watershed models aggregated across multiple spatial and temporal scales. HAWQS users can select from three watershed scales or hydrologic unit codes (HUCS) – 8-digit ~700mi2; 10-digit ~227 mi2; and 12-digit ~40mi2 – and from daily, monthly, or annual estimates of water quality – to run simulations.
HAWQS provides users with interactive web interfaces and maps. Pre-processed model input data are derived from existing nationwide datasets including the National Hydrography Dataset (NHD), NCDC, PRISM, NEXRAD, Crop Data Layer (CDL), National Land Cover Dataset (NLCD), STATSGO soils data, National Inventory of Dams (NID), and the National Agricultural Statistics Service (NASS). A full list of HAWQS input data can be found at https://hawqs.tamu.edu/content/docs/HAWQS-Input-Database-Citation.pdf. These datasets in some cases have been improved or edited to provide standardized input data into the users’ model. Users can input custom values for their model parameters, to create scenarios about land-use change, altered climate, and various crop management strategies. HAWQS also allows users to analyze their model outputs through default tables and charts, in addition to raw output data. HAWQS provides a user guide and use cases, as well as the online execution and storage of a user's modeling projects.
The United States Environmental Protection Agency (USEPA) Office of Water supports and provides project management and funding for HAWQS. The Texas A&M University Spatial Sciences Laboratory and the USEPA subject matter experts provide ongoing technical support including system design, modeling, and software development. Initial project support and guidance was provided by the United States Department of Agriculture – Agricultural Research Service (USDA-ARS). Further details on the HAWQS can be found at https://hawqs.tamu.edu/
HAWQS System 2.0 and Data to model the lower 48 conterminous U.S using the SWAT model
No full textThe Hydrologic and Water Quality System (HAWQS) is a web-based modeling platform that utilizes the Soil and Water Assessment Tool (SWAT) for regional to nationwide assessments of different scenarios for water quality and hydrology. HAWQS allows users to easily create watershed models aggregated across multiple spatial and temporal scales. HAWQS users can select from four watershed scales or hydrologic unit codes (HUCS) – 8-digit ~1,425mi2; 10-digit ~200 mi2; 12-digit ~38mi2; and 14-digit – 8mi2; and from daily, monthly, or annual estimates of water quality – to run simulations. HAWQS provides users with interactive web interfaces and maps. Pre-processed model input data are derived from existing nationwide datasets including the National Hydrography Dataset (NHDPlus), NCDC, PRISM, NEXRAD, Crop Data Layer (CDL), National Land Cover Dataset (NLCD), SSURGO soils data, National Wetlands Inventory (NWI), National Inventory of Dams (NID), and the National Agricultural Statistics Service (NASS). A full list of HAWQS input data can be found at https://hawqs.tamu.edu/content/docs/HAWQS_2.0_Technical_Documentation.pdf. These datasets in some cases have been improved or edited to provide standardized input data into the users’ model. Users can input custom values for their model parameters, to create scenarios about land-use change, altered climate, and various crop management strategies. HAWQS also allows users to analyze their model outputs through default tables and charts, in addition to raw output data. HAWQS provides a user guide and use cases, as well as the online execution and storage of a user's modeling projects. The United States Environmental Protection Agency (USEPA) Office of Water supports and provides project management and funding for HAWQS. The Texas A&M University Spatial Sciences Laboratory and the USEPA subject matter experts provide ongoing technical support including system design, modeling, and software development. Initial project support and guidance was provided by the United States Department of Agriculture – Agricultural Research Service (USDA-ARS). Further details on the HAWQS can be found at https://hawqs.tamu.edu/
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Assessment of regional water endowments, crop water productivity, and implications for intra-country virtual water trade in Iran
No full text- …
