1,720,967 research outputs found
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/
Replication Data for: A HAWQS-SWAT-LSTM Framework for Hydrologic Predictions in Ungauged Watersheds
No full textData for training LSTM models for daily streamflow prediction developed using HAWQS for 531 CAMELS basins in the United States
Application of Large-Scale, Multi-Resolution Watershed Modeling Framework Using the Hydrologic and Water Quality System (HAWQS)
Full text linkIn recent years, large-scale watershed modeling has been implemented broadly in the field of water resources planning and management. Complex hydrological, sediment, and nutrient processes can be simulated by sophisticated watershed simulation models for important issues such as water resources allocation, sediment transport, and pollution control. Among commonly adopted models, the Soil and Water Assessment Tool (SWAT) has been demonstrated to provide superior performance with a large amount of referencing databases. However, it is cumbersome to perform tedious initialization steps such as preparing inputs and developing a model with each changing targeted study area. In this study, the Hydrologic and Water Quality System (HAWQS) is introduced to serve as a national-scale Decision Support System (DSS) to conduct challenging watershed modeling tasks. HAWQS is a web-based DSS developed and maintained by Texas A & M University, and supported by the U.S. Environmental Protection Agency. Three different spatial resolutions of Hydrologic Unit Code (HUC8, HUC10, and HUC12) and three temporal scales (time steps in daily/monthly/annual) are available as alternatives for general users. In addition, users can specify preferred values of model parameters instead of using the pre-defined sets. With the aid of HAWQS, users can generate a preliminarily calibrated SWAT project within a few minutes by only providing the ending HUC number of the targeted watershed and the simulation period. In the case study, HAWQS was implemented on the Illinois River Basin, USA, with graphical demonstrations and associated analytical results. Scientists and/or decision-makers can take advantage of the HAWQS framework while conducting relevant topics or policies in the future
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
