PixelSWAT: A user-friendly ArcGIS tool for preparing inputs to run SWAT in a distributed discretization scheme

IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Applied Computing and Geosciences Pub Date : 2024-06-25 DOI:10.1016/j.acags.2024.100175

Nyigam Bole, Arnab Bandyopadhyay, Aditi Bhadra

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引用次数: 0

Abstract

This paper documents the development of PixelSWAT, a Graphical User interface (GUI) python toolbox developed with the motive of creating gridded watershed and stream features to run the Soil and Water Assessment Tool (SWAT) in a distributed discretization scheme thus allowing optimum utilization of gridded weather datasets. Additionally, the tool also aims to automate the preparation of SWAT weather input files from Network Common Data (NetCDF) files for any SWAT user along with the option to interpolate the weather files for each grid. A case study was conducted in the Mago basin of Tawang, Arunachal Pradesh, using gridded weather datasets for hydrological simulation. Three SWAT models were prepared – a conventional SWAT model; a 500 m and a 1000 m gridded watershed PixelSWAT models. Statistical indices Nash Sutcliffe (NSE), Coefficient of Determination (R²) and Percent Bias (PBIAS) showed that the PixelSWAT projects performed marginally better than the conventional model and also incorporated the weather data more meaningfully.

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PixelSWAT：一种用户友好型 ArcGIS 工具，用于准备输入，以便在分布式离散化方案中运行 SWAT

本文记录了 PixelSWAT 的开发过程，这是一个图形用户界面（GUI）python 工具箱，其开发目的是创建网格化流域和溪流特征，以便在分布式离散化方案中运行水土评估工具（SWAT），从而优化网格化气象数据集的利用。此外，该工具还旨在为任何 SWAT 用户自动从网络通用数据（NetCDF）文件中准备 SWAT 气象输入文件，并可为每个网格插值气象文件。在阿鲁纳恰尔邦塔旺的马戈盆地进行了一项案例研究，使用网格天气数据集进行水文模拟。研究人员制作了三种 SWAT 模型：传统 SWAT 模型、500 米和 1000 米网格流域 PixelSWAT 模型。统计指数 Nash Sutcliffe (NSE)、判定系数 (R2) 和偏差百分比 (PBIAS) 表明，PixelSWAT 项目的性能略优于传统模型，而且更有意义地纳入了气象数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Computing and Geosciences Computer Science-General Computer Science

CiteScore

5.50

自引率

0.00%

发文量

审稿时长

5 weeks