backmind/autoRICEWQ: v1.0.2
Description
What is autoRICEWQ?
This project aims to be a handler for input creation and running of multiple RICEWQ simulations.
What is RICEWQ?
From the description in its website:
RICEWQ 1.92
Rice production presents a unique problem with respect to agrochemical runoff because of the high seasonal rainfall, water management, and proximity of cropland to surface water bodies. Existing pesticide transport models are not configured to simulate the flooding conditions, overflow, and controlled releases of water that are typical under rice >production. RICEWQ was developed to simulate water and chemical mass balance associated with these unique governing processes. Water mass balance takes into account precipitation, evaporation, seepage, overflow, irrigation, and drainage. Pesticide mass balance can accommodate dilution, advection, volatilization, partitioning between water/sediment, decay in water and sediment, burial in sediment, and re-suspension from sediment. The model can simulate up to five chemicals/metabolites.
MODEL REGISTRATION
RICEWQ is an aquatic fate and transport model for evaluating flowing water scenarios. Although our models are distributed as freeware, donations are encouraged to cover costs for model development, distribution, and technical support.
Please contact info@waterborne-env.com to register to receive a download of this model.
What is the problem?
The problem is the input data for RICEWQ 1.92 lies on an input text file with an absolute format dependence. Tailoring by hand the correct input data to run a simple simulation is very time consuming and tedious. Thus, this project aims to offer a very straight forward way to (1) parse input from Excel files, (2) run the RICEWQ 1.92 model and (3) parse the output back into Excel. This facilitates the process of running hundreds or even thousands of simulations with ease and helps to check the results in a glimpse.
Files
backmind/autoRICEWQ-v1.0.2.zip
Files
(564.8 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/backmind/autoRICEWQ/tree/v1.0.2 (URL)