Arid
DOI10.1016/j.compag.2017.10.023
Development of an irrigation scheduling software based on model predicted crop water stress
Gu, Zhe1,2; Qi, Zhiming2; Ma, Liwang3; Gui, Dongwei4; Xu, Junzeng5; Fang, Quanxiao6; Yuan, Shouqi1; Feng, Gary7
通讯作者Qi, Zhiming
来源期刊COMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN0168-1699
EISSN1872-7107
出版年2017
卷号143页码:208-221
英文摘要

Modern irrigation scheduling methods are generally based on sensor-monitored soil moisture regimes rather than crop water stress. Crop water stress is difficult to measure in real-time, but can be computed using agricultural system models. In this study, an irrigation scheduling method and its facilitate software based on RZWQM2 model (Root Zone Water Quality Model) predicted crop water stress were developed and evaluated. The timing of irrigation was based on the occurrence of model-simulated water stress, while the depth of irrigation was based on the fraction of the soil moisture deficit (K) needed to replenish the soil water content (0) at any given time to field capacity (theta(fc)), Le., from gamma(to), theta(to) theta(to) + K (theta(fc)-theta(to)). The predicted water stress for different K values was tested based on RZWQM2 scenarios calibrated against data collected in a drip-irrigated corn (Zea mays L.) field near Greeley, Colorado, USA between 2008 and 2010, and in a sprinkler irrigated soybean [Glycine max (L.) Mem] field in Noxubee, Mississippi, USA in 2014. For the Colorado site, the simulated full irrigation (K = 1) using this newly developed water stress-based irrigation approach saved 30.5%, 17.3% and 7.1% in total irrigation depth in successive years, whereas higher frequency with 60-90% of full irrigation at each event (0.6 <= K <= 0.9) provided water savings of as much as 35%, 30%, and 16%, respectively. The water stress-based irrigation scheme showed that crop yield was not affected, with a negligible change about 0.03-3.81% decrease. These water savings were a result of the water stress-based irrigation regime maintaining sufficient water to meet crop root water uptake requirements without constantly fully rehydrating the soil, thereby minimizing evaporation from the soil surface and soil water storage after grain filling. For the Mississippi site, this newly developed water stress-based irrigation software could improve crop yield by 291 kg ha(-1) though consume 3.43 cm more water than field irrigation regime. Similarly, high frequency irrigation (lower K) under water stress-based regime resulted in higher water use efficiency. This study suggested that the water stress-based irrigation scheme could save water use and maintain crop yield in semi-arid region, while in humid region it could increase crop yield while consume more water. Further work is needed to install this system in an irrigated field and test its performance under different climate and soil conditions.


英文关键词Irrigation scheduling Water stress RZWQM2 RZ_IrrSch SWFAC Soil water content
类型Article
语种英语
国家Peoples R China ; Canada ; USA
收录类别SCI-E
WOS记录号WOS:000418976100021
WOS关键词DEFICIT IRRIGATION ; LANDSCAPE IRRIGATION ; CANOPY TEMPERATURE ; ENERGY-BALANCE ; RZWQM2 MODEL ; HYBRID MODEL ; APEX MODEL ; MAIZE ; SYSTEM ; INDEX
WOS类目Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS研究方向Agriculture ; Computer Science
来源机构中国科学院新疆生态与地理研究所 ; 河海大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/198186
作者单位1.Jiangsu Univ, Res Ctr Fluid Machinery Engn & Technol, 301 Xuefu Rd, Zhenjiang 212013, Peoples R China;
2.McGill Univ, Dept Bioresource Engn, St Annede De Bellevue, PQ H9X 3V9, Canada;
3.USDA ARS, Rangeland Resources & Syst Res Unit, Ft Collins, CO 80526 USA;
4.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Cele Natl Stn Observat & Res Desert Grassland & Ec, Cele 848300, Xinjiang, Peoples R China;
5.Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China;
6.Qingdao Agr Univ, Qingdao 266109, Peoples R China;
7.USDA ARS, Genet & Sustainable Agr Res Unit Starkville, Starkville, MS 39762 USA
推荐引用方式
GB/T 7714
Gu, Zhe,Qi, Zhiming,Ma, Liwang,et al. Development of an irrigation scheduling software based on model predicted crop water stress[J]. 中国科学院新疆生态与地理研究所, 河海大学,2017,143:208-221.
APA Gu, Zhe.,Qi, Zhiming.,Ma, Liwang.,Gui, Dongwei.,Xu, Junzeng.,...&Feng, Gary.(2017).Development of an irrigation scheduling software based on model predicted crop water stress.COMPUTERS AND ELECTRONICS IN AGRICULTURE,143,208-221.
MLA Gu, Zhe,et al."Development of an irrigation scheduling software based on model predicted crop water stress".COMPUTERS AND ELECTRONICS IN AGRICULTURE 143(2017):208-221.
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