| Issue |
E3S Web Conf.
Volume 561, 2024
The 8th International Conference on Energy, Environment and Materials Science (EEMS 2024)
|
|
|---|---|---|
| Article Number | 02013 | |
| Number of page(s) | 4 | |
| Section | Intelligent Environment Planning and Green Development | |
| DOI | https://doi.org/10.1051/e3sconf/202456102013 | |
| Published online | 09 August 2024 | |
Spatial distribution and influencing factors of rice irrigation water demand based on GIS
1 Zhejiang Institute of Hydraulics and Estuary(Zhejiang Institute of Marine Planning and Design), Hangzhou, 310020 Zhejiang, China
2 Zhejiang University of Science and Technology, Hangzhou, 310023 Zhejiang, China
* Corresponding author: zyd0571@163.com
The spatiotemporal distribution of irrigation water demand is the main basis for scientifically formulating irrigation quotas and management strategies for different regions. Using daily meteorological data from 15 meteorological stations in the southeastern coastal area of Zhejiang Province over the past 30 years, the Penman Monteith method recommended by FAO was used to calculate the irrigation water demand for rice throughout its entire growth period. Using the spatial analysis function of GIS, obtain the spatial distribution map of rice irrigation water demand through inverse distance weight interpolation method. The results show that there is a significant spatial difference in the irrigation water demand for rice in the southeastern coastal areas of Zhejiang Province, with an average annual value ranging from 202.9 to 586.4mm/season. The annual average shows a decreasing distribution pattern from east to west. By analyzing the spatial distribution pattern of rice irrigation water demand in the southeastern coastal areas of Zhejiang, targeted irrigation management strategies are proposed, which can provide scientific basis for irrigation water management in Wenzhou, Taizhou, and Ningbo.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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