干旱区农田水利工程水资源优化配置技术研究  

Research on optimal allocation technology of water resources for agricultural water conservancy project in arid areas

在线阅读下载全文

作  者:冉小丽 Ran Xiaoli(Gansu Jingtaichuan Electric Power Irrigation Water Resources Utilization Center,Jingtai,730400,Gansu,China)

机构地区:[1]甘肃省景泰川电力提灌水资源利用中心,甘肃景泰730400

出  处:《新疆农机化》2025年第1期45-47,共3页Xinjiang Agricultural Mechanization

摘  要:针对西北内陆干旱区水资源短缺、农业用水效率低下等问题,通过构建多水源配置模型,融合水肥精准调控技术,研究了农田水利工程水资源优化配置方案。采用“天-空-地”一体化监测系统,结合土壤墒情监测、作物需水规律分析等方法,对灌区农田水分利用效率进行系统评估。试验结果表明:采用浅埋滴灌技术可节水60~80 m^(3)/667 m^(2);水肥一体化智能灌溉系统使水资源利用效率提升25%;通过优化灌溉频率和灌溉量,作物前期灌溉量可降低25~60 m^(3)/667 m^(2)。研究成果为西北干旱区农田水利工程水资源高效利用提供了技术参考。In response to the problems of water resource shortage and low agricultural water efficiency in inland arid areas of Northwest China,the optimization of water resources allocation scheme for agricultural water conservancy project was studied by constructing a multi-water source allocation model and integrating water fertilizer precise regulation technology.Using an integrated monitoring system of"sky air ground",combined with soil moisture monitoring,crop water demand analysis and other methods,a systematic evaluation of the water use efficiency of farmland in the irrigation area is carried out.The experimental results show that using shallow buried drip irrigation technology can save 60 to 80 m^(3)water per acre;that using water fertilizer integration smart irrigation system to increase water utilization efficiency by 25 percent;that by optimizing irrigation frequency and amount,the amount of irrigation per acre can be reduced by 25 to 60 m^(3)during the pre-crop period.The research results provide technical reference for the efficient utilization of water resource in agricultural water conservancy project in the arid areas of Northwest China.

关 键 词:农田水利 水资源优化 智能灌溉 水肥一体化 节水技术 

分 类 号:S27[农业科学—农业水土工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象