A Web Based Interface for Distributed Short-Term Soil Moisture Forecasts

Agricultural non-point source (NPS) pollution is a source of water quality impairment, and demonstrates widely varying spatial and temporal pollution potential. Many efforts to protect water quality are based on seasonal and annual estimates of pollutant loss potential (NRCS 590 nutrient management...

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Bibliographic Details
Main Authors: Andrew R. Sommerlot, Zachary M. Easton
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/9/8/604
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spelling doaj-7f331f2dda5e403aa97af556f3725db12020-11-24T23:19:45ZengMDPI AGWater2073-44412017-08-019860410.3390/w9080604w9080604A Web Based Interface for Distributed Short-Term Soil Moisture ForecastsAndrew R. Sommerlot0Zachary M. Easton1Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24060, USADepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24060, USAAgricultural non-point source (NPS) pollution is a source of water quality impairment, and demonstrates widely varying spatial and temporal pollution potential. Many efforts to protect water quality are based on seasonal and annual estimates of pollutant loss potential (NRCS 590 nutrient management standard, P-Index) that inadequately address the hydrologic processes driving NPS pollution. One barrier to adopting practices that address NPS pollution is a lack of tools capable of transferring information at sufficient spatial and temporal resolution so that end-users can make informed decisions. We introduce a web-based system displaying distributed hydrologic forecasts using free and open source software. The system consists of three primary components: (1) a hydrology model that provides short-term distributed forecasts; (2) a data structure capable of re-structuring large, high resolution rasters; (3) an interface employing adaptive map-viewing technology that allows end-users to interact with the data to avoid high-risk areas when planning agricultural practices.https://www.mdpi.com/2073-4441/9/8/604forecast soil moisturefree and open source codeonline toolshort-term riskSWATSWAT–VSAweb based decision support system
collection DOAJ
language English
format Article
sources DOAJ
author Andrew R. Sommerlot
Zachary M. Easton
spellingShingle Andrew R. Sommerlot
Zachary M. Easton
A Web Based Interface for Distributed Short-Term Soil Moisture Forecasts
Water
forecast soil moisture
free and open source code
online tool
short-term risk
SWAT
SWAT–VSA
web based decision support system
author_facet Andrew R. Sommerlot
Zachary M. Easton
author_sort Andrew R. Sommerlot
title A Web Based Interface for Distributed Short-Term Soil Moisture Forecasts
title_short A Web Based Interface for Distributed Short-Term Soil Moisture Forecasts
title_full A Web Based Interface for Distributed Short-Term Soil Moisture Forecasts
title_fullStr A Web Based Interface for Distributed Short-Term Soil Moisture Forecasts
title_full_unstemmed A Web Based Interface for Distributed Short-Term Soil Moisture Forecasts
title_sort web based interface for distributed short-term soil moisture forecasts
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2017-08-01
description Agricultural non-point source (NPS) pollution is a source of water quality impairment, and demonstrates widely varying spatial and temporal pollution potential. Many efforts to protect water quality are based on seasonal and annual estimates of pollutant loss potential (NRCS 590 nutrient management standard, P-Index) that inadequately address the hydrologic processes driving NPS pollution. One barrier to adopting practices that address NPS pollution is a lack of tools capable of transferring information at sufficient spatial and temporal resolution so that end-users can make informed decisions. We introduce a web-based system displaying distributed hydrologic forecasts using free and open source software. The system consists of three primary components: (1) a hydrology model that provides short-term distributed forecasts; (2) a data structure capable of re-structuring large, high resolution rasters; (3) an interface employing adaptive map-viewing technology that allows end-users to interact with the data to avoid high-risk areas when planning agricultural practices.
topic forecast soil moisture
free and open source code
online tool
short-term risk
SWAT
SWAT–VSA
web based decision support system
url https://www.mdpi.com/2073-4441/9/8/604
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