Determination of irrigation water quantity and its impact on crop yield and groundwater

Determination of irrigation water quantity and its impact on crop yield and groundwater
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灌溉水量的确定及其对作物产量和地下水的影响

DOI:
10.1016/j.agwat.2022.107900
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发表时间:
2022-11
影响因子:
6.7
通讯作者:
Yong Zhao
Yong Zhao
中科院分区:
农林科学1区
文献类型:
--
作者:
Wenhui Yan;Fawen Li;Yong Zhao

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相似文献

考虑下游生态需水量的水库配水量目标对各用水户的配水量和下游生态具有重要影响。农业灌溉耗水量大,直接影响农作物产量。灌溉水作为灌区地下水的补给,对地下水的恢复也起着重要的作用。本研究采用考虑河流生态系统需水量的流量管理方法——变率范围法(RVA),给出了石金灌区上游黄壁庄水库的推荐出水量范围(RVA目标)。首先,利用RVA目标确定各用水户的用水分配,以农业用水分配为约束,设置27种灌溉方案,并利用经过验证的AquaCrop模型(利用7年的田间试验数据对AquaCrop模型参数进行校准)评价灌区最适宜的灌溉方案及其对地下水恢复的影响。结果表明:在RVA目标下,汛期农业灌溉可利用水量为84 mm,比现行灌溉定额(120 mm)少36 mm;选择比当前方案(方案0)更好的方案1(苗期和拔节期灌溉42 mm)、方案16(苗期灌溉42 mm)和方案22(苗期灌溉84 mm)。方案22提高玉米产量和水分生产力,分别比方案0提高17 kg/ha和1 kg/ha/mm,增产幅度最大。方案22可恢复地下水位0.727 m。方案16比方案0增产4 kg/ hm2。方案16可恢复地下水位0.982 m,是最有利于地下水补给的方案。方案16和方案1的WP与方案0略有差异。4种方案间生物量差异不大。方案1比方案0增产12 kg/ hm2,可同时恢复正常年水平0.727 m的地下水位。本研究可为在满足河流生态需水量和恢复地下水位的前提下,制定稳定和提高夏玉米产量的局部灌溉方案提供参考。•全面考虑生态需水量和地下水的恢复。•使用变异性范围法(RVA)来提供水库的流出范围。•首次将RVA作为研究区灌溉方案的优化目标。
The objective of reservoir water allocation based on considering the ecological water demand of the downstream river has an important impact on the water allocation of each water user and the downstream ecology. Agricultural irrigation with large water consumption will directly affect crop yield. Irrigation water, as the recharge of groundwater in irrigation districts , also plays an important role in the restoration of groundwater. This research used the range of variability approach (RVA), a method of flow management considering the water demand of river ecosystems, to provide the recommended outflow range (RVA target) of the Huangbizhuang Reservoir upstream of the Shijin irrigation district. First, we used the RVA target to determine the water allocation of each water user, set 27 irrigation schemes with the water allocation of agriculture as a constraint, and used the validated AquaCrop model (seven years of field experiment data were used to calibrate AquaCrop model parameters) to evaluate the most appropriate irrigation schemes and their impact on groundwater restoration in the irrigation district. The results showed that the amount of water available for agricultural irrigation in the flood season under the RVA target was 84 mm, which was 36 mm less than the current irrigation quota (120 mm). Three irrigation schemes better than the current scheme (scheme 0) were selected, i.e., scheme 1 (irrigate 42 mm at the seedling and jointing stages), scheme 16 (irrigate 42 mm at the seedling stage), and scheme 22 (irrigate 84 mm at the seedling stage). Scheme 22 increased the yield of corn and WP (water productivity), which were 17 kg/ha and 1 kg/ha/mm higher than scheme 0, respectively, which provided the greatest increase in yield. Scheme 22 can restore 0.727 m of the groundwater table. The yield increased in scheme 16 was 4 kg/ha higher than that in scheme 0. Scheme 16 can restore 0.982 m of the groundwater table, which was the most conducive scheme for groundwater recharge . The WP of scheme 16 and scheme 1 was slightly different from that of scheme 0. There was a slight difference in biomass among the four schemes. The yield increased in scheme 1 was 12 kg/ha higher than that in scheme 0, which could restore 0.727 m of the groundwater table simultaneously, which was for a normal year. This research can provide a reference for the formulation of a local irrigation scheme to stabilize and increase summer maize yield on the premise of satisfying the ecological water demand of the river and restoring the groundwater table. • Considered the ecological water demand and the recovery of groundwater entirely. • Used range of variability approach (RVA) to provide the outflow range of reservoir. • RVA was first used as the optimization target of irrigation scheme in study area.
DOI: 10.1016/j.agwat.2011.08.023
发表时间: 2011-11-15
影响因子: 6.7
作者:
Andarzian, B.;Bannayan, M.;Rahnama, A.
通讯作者: Rahnama, A.
DOI: 10.1016/j.agwat.2005.07.020
发表时间: 2006-04
期刊: --
影响因子: --
作者:
Yh Yang
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DOI: 10.1002/hyp.5533
发表时间: 2004-08
影响因子: 3.2
作者:
Xiying Zhang;D. Pei;Suying Chen
通讯作者: Xiying Zhang;D. Pei;Suying Chen
DOI: 10.1016/j.agwat.2010.05.025
发表时间: 2010-10-01
影响因子: 6.7
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Li Quanqi;Dong Baodi;Zhang Jiwang
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DOI: 10.1002/hyp.5667
发表时间: 2005-06
影响因子: 3.2
作者:
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通讯作者: X. Mao;Jinsheng Jia;Changming Liu;Zhimin Hou