Implementation of a GIS for the Conservation of Irrigation Canals: Using ArcGIS and Python for Automation.

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Bibliographic Details
Title: Implementation of a GIS for the Conservation of Irrigation Canals: Using ArcGIS and Python for Automation.
Authors: Hernán Jimenez-Palomino, Wilder, Miguel Soto-Juscamayta, Luis, Henrry Ccatamayo-Barrios, Johnny, Leonardo Bendezú-Prado, Jaime, Berrocal-Argumedo, Kelvis, Agustín Esparta-Sanchez, José, Margarita Maldonado-Llacua, Gladys, Cesar Mayorga-Rojas, Jaime, Alberto Romero-Baylon, Alfonso
Source: Mathematical Modelling of Engineering Problems; Sep2024, Vol. 11 Issue 9, p2337-2346, 10p
Subject Terms: WATER management, IRRIGATION management, GEOGRAPHIC information systems, WATER conservation, ELECTRONIC data processing
Abstract: This study aims to automate a geographic information system (GIS) for the conservation of irrigation canals in Casaorcco, Ayacucho - Peru. The research focuses on identifying and measuring channels of different orders using specific identification tokens. A Python script was developed to optimize data processing in ArcGIS. The results showed that the study area contains first, second, and third-order channels in various conditions. The Python script significantly accelerated data processing, improving decision-making for the conservation of irrigation canals. This study demonstrates the feasibility of automating ArcGIS GIS for more effective management of irrigation canals in Casaorcco, enhancing the conservation and maintenance of water infrastructure in the region. The implications of these findings suggest that the methodology can be applied to other regions and types of infrastructure, promoting more efficient and sustainable water resource management. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:This study aims to automate a geographic information system (GIS) for the conservation of irrigation canals in Casaorcco, Ayacucho - Peru. The research focuses on identifying and measuring channels of different orders using specific identification tokens. A Python script was developed to optimize data processing in ArcGIS. The results showed that the study area contains first, second, and third-order channels in various conditions. The Python script significantly accelerated data processing, improving decision-making for the conservation of irrigation canals. This study demonstrates the feasibility of automating ArcGIS GIS for more effective management of irrigation canals in Casaorcco, enhancing the conservation and maintenance of water infrastructure in the region. The implications of these findings suggest that the methodology can be applied to other regions and types of infrastructure, promoting more efficient and sustainable water resource management. [ABSTRACT FROM AUTHOR]
ISSN:23690739
DOI:10.18280/mmep.110907