raybet体育在线 院报 ›› 2025, Vol. 42 ›› Issue (5): 130-137.DOI: 10.11988/ckyyb.20240179

• 农业水利 • 上一篇    下一篇

基于GIS的马尾皂灌区供水保障

付建军1,2(), 李云起1,2, 袁理3, 陈鹏3, 龚柔艳1,2   

  1. 1 湖南农业大学 水利与土木工程学院,长沙 410128
    2 湖南省灌区精准控灌工程技术研究中心,长沙 410128
    3 湖南省水利厅 水利工程管理局,长沙 410007
  • 收稿日期:2024-03-01 修回日期:2024-04-29 出版日期:2025-05-01 发布日期:2025-05-01
  • 作者简介:

    付建军(1983-),男,湖南浏阳人,教授,博士,主要从事水利工程技术服务及信息化研究。E-mail:

  • 基金资助:
    湖南省水利厅重大课题(XSKJ2022068-29); 湖南省水利厅一般项目(XSKJ2023059-07)

Water Supply Reliability in Maweizao Irrigation Area Based on GIS

FU Jian-jun1,2(), LI Yun-qi1,2, YUAN Li3, CHEN Peng3, GONG Rou-yan1,2   

  1. 1 College of Water Resources and Civil Engineering, Hunan Agricultural University, Changsha 410128,China
    2 Hunan Engineering Research Center of Precision Irrigation Control for Irrigation Areas, Hunan Agricultural University, Changsha 410128, China
    3 Administration Bureau of Water Conservancy Projects, Hunan Provincial Department of Water Resources, Changsha 410007, China
  • Received:2024-03-01 Revised:2024-04-29 Published:2025-05-01 Online:2025-05-01

摘要: 为探究南方丘陵型灌区水稻的供水保障及粮食安全,收集马尾皂灌区长时间序列的逐日气象数据,以水稻生长期季内降雨量为对象,分析确定各典型年及其特征值;基于FAO Penman-Monteith方法、水量平衡法计算水稻作物需水量及田间净灌溉需水量;采用GIS技术分析灌区田块可供净灌溉用水量及供水保障空间特征;结合土壤含水率、作物测产试验,获得可供净灌溉用水量、土壤含水率及水稻产量相关关系。结果表明,以晚稻为例,平水年、中等干旱年、枯水年的田间净灌溉需水量分别为415、455、560 mm,枯水年可供净灌溉用水量与田间净灌溉需水量的比值在40%以下、40%~60%、60%~80%、80%以上面积分别占灌区总面积的26.11%、10.16%、13.33%、50.4%,粮食产量分别为0~200、200~300、200~300、400~500 kg/亩(1亩≈666.67 m2)。研究成果将为大中型灌区农业用水权确权及农业用水总量提供参考及借鉴。

关键词: 季内降雨量, 田间净灌溉需水量, 可供净灌溉用水量, 供水保障, 南方丘陵灌区

Abstract:

[Objective] To address the mismatch between traditional rainfall analysis methods (April to October) for hilly irrigation areas in south China and actual intra-seasonal water demand during rice growth stages (late rice from July to October), this study focuses on intra-seasonal rainfall during the rice growth stages, integrating GIS technology to investigate the water supply reliability of the Maweizao irrigation area. [Methods] Using daily meteorological data from 1989 to 2019 in the irrigation area, the intra-seasonal rainfall frequency analysis method was employed to identify typical representative years and characteristic values for normal years (P=50%), moderately dry years (P=75%), and dry years (P=90%). The FAO Penman-Monteith method and water balance method were then used to calculate the crop water requirements and net irrigation water requirements for rice. [Results]The results showed that: (1) In dry years, the intra-seasonal rainfall during the late rice growth stages (160 mm) accounted for only 21.2% of the total rainfall from April to October (755 mm). Moreover, a mismatch was observed between the rainfall peak (August) and the critical water demand period (booting to heading stage, September). This led to 14% higher net field irrigation water requirements (560 mm) calculated by intra-seasonal rainfall frequency analysis compared to traditional methods, accurately reflecting the typical contradiction in hilly irrigation areas where there was “no rain during water demand periods but excessive rain during non-demand periods.” (2) GIS-based spatial simulations revealed a distinct bimodal structure in the irrigation area during dry years. Croplands near the main water source (Maweizao Reservoir) benefited from sufficient storage capacity (27.02 million m3) and a canal system integrity rate above 85%, achieving a water supply reliability rate greater than 80%, thus forming a high-yield and stable-production core zone. Areas dependent on small reservoirs for water regulation and storage, where storage capacity utilization declined to 60% due to sedimentation, had a water supply reliability rate of 60%-80%. Limited by scattered ponds (406 ponds), insufficient catchment areas (<5 km2 per pond), and damaged main and lateral canals (integrity rate <40%), the overall reliability rates dropped below 40%, posing a high risk of yield reduction. (3) For every 10% increase in water supply reliability rate, late rice yield increased by 35-50 kg per mu(1mu≈666.67 m2), showing a significant positive linear correlation (R2=0.89). When the reliability rate exceeded 80%, soil water content remained stable at 18%-24% (optimal range for rice growth), resulting in yields of 400-500 kg per mu.When the reliability rate fell below 40%, soil water content dropped sharply below 10%, leading to plant wilting or even total crop failure (yield <200 kg per mu). Within the 60%-80% range of reliability rate, each 1 m3 irrigation water increase produced an extra 1.2-1.5 kg of rice, indicating optimal resource use efficiency. [Conclusion] By focusing on intra-seasonal rainfall during rice growth stages, this study reveals the underlying mechanism of irrigation water supply-demand imbalance in hilly irrigation areas and proposes the following three practical strategies. Over 70% irrigation water should be allocated during the booting to heading stages (September) based on crop water requirements, with priority given to areas maintaining water supply reliability rates above 60%. For areas with water supply reliability rates below 40%, the “pond desilting + intelligent water control” project should be implemented to increase small water source utilization rate from 45% to 75%, while restoring main and lateral canals to achieve an integrity rate above 60%. By focusing on intra-seasonal rainfall during rice growth stages, this study provides a scientific basis for precise irrigation management and confirmation of agricultural water use rights in hilly irrigation areas, holding important practical significance for optimizing water resource allocation and enhancing grain production capacity.

Key words: intra-seasonal rainfall, net irrigation water requirement, available net irrigation water, water supply reliability, hilly irrigation area of southern China

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