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Evaluation of the AquaCrop model for winter wheat under different irrigation optimization strategies at the downstream Kabul River Basin of Afghanistan

机译:阿富汗下游喀布尔河流域不同灌溉优化策略下冬小麦水上摩擦模型的评价

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Afghanistan has an arid to semi-arid climate where irrigated agriculture largely depends on scarce irrigation water supplies from snowmelt from the high raised mountains. Under growing water scarcity, farmers not only need to use the available water more wisely but have to develop alternative options for coping water scarcity. Deficit irrigation schedule can be one of the options to mitigate the adverse impacts of water scarcity on crop production. In the current study, FAO's crop water productivity model (AquaCrop) was calibrated and validated with field data in Kabul River Basin (KRB) for wheat crop to simulate four different water scarcity scenarios (S-A: business-as-usual scenario, S-B: refilling the soil profile to field capacity upon 50 % water depletion, S-C: refilling the soil profile upon 100 % depletion and S-D: refilling the soil profile upon 130 % depletion occurrence) for resultant yield, water productivity (WP) and biomass production. Two wheat fields, namely A and B were monitored intensively for soil moisture content, meteorological situation, irrigation application and post-harvest data. Results show that the measured WP was 1.4 kg m(-3) ETa and 1.5 kg m(-3) ETa whereas, the actual (measured) water use efficiency (WUE) was 0.58 kg m(-3) and 0.66 kg m(-3) for Field A and Field B, respectively. The WP of the scenarios S-A, S-B, S-C and S-D was 2.0-2.1 kg m(-3) ETa (for plot B and A), 2.5 kg m(-3) ETa, 2.74 kg m(-3) ETa and 2.8 kg m(-3) ETa respectively. Similarly, yield under these scenarios was 6.4 ton ha(-1), 8.7 ton ha(-1), 7.4 ton ha(-1) and 6.7 ton ha(-1) respectively while the above ground biomass was 21.3 ton ha(-1), 21.8 ton ha(-1), 19 ton ha(-1) and 18.3 ton ha(-1) respectively. As a consequence, WP could increase by 92.8 %, 78 % and 95 % in S-B, S-C and S-D, respectively with reference to the measured WP. The optimized scenarios developed in this study can provide guidelines for policy makers and farming communities to mitigate the adverse impact of water scarcity through such innovative interventions.
机译:阿富汗对半干旱的气候有干旱,灌溉农业在很大程度上取决于稀缺从高凸起的山脉的灌溉用水供应。在不断增长的水资源稀缺下,农民不仅需要更明智地使用可用的水,但必须开发替代方案,以应对水资源稀缺。赤字灌溉计划可以是减轻水资源稀缺对作物生产的不利影响的选项之一。在目前的研究中,粮农组织的作物水生产率模型(Aquacrop)被校准并验证了喀布尔河流域(KRB)的现场数据,用于小麦作物,以模拟四种不同的水资源稀缺情景(SA:商业场景,SB:Refilling土壤曲线到50%水耗水,SC:将土壤曲线重新填充到100%耗尽和SD:将土壤曲线重新填充到130%耗竭损失时),得到产率,水生产率(WP)和生物质生产。为土壤水分含量,气象形势,灌溉应用和收获后数据集中监测两颗麦田,即A和B.结果表明,测量的WP为1.4千克M(-3)ETA和1.5千克M(-3)ETA,而实际(测量)用水效率(WUE)为0.58千克,0.66千克( -3)分别用于字段A和Field B.场景SA,SB,SC和SD的WP为2.0-2.1 kg M(-3)ETA(对于Plot B和A),2.5 kg m(-3)eta,2.74 kg m(-3)eta和2.8 kg m(-3)eta。同样,在这些情景下的产量为6.4吨HA(-1),8.7吨HA(-1),7.4吨HA(-1)和6.7吨HA(-1),而上述地面生物质为21.3吨HA( - 1),21.8吨HA(-1),19吨HA(-1)和18.3吨HA(-1)。因此,WP分别参照测量的WP分别在S-B,S-C和S-D中增加92.8%,78%和95%。本研究开发的优化方案可以为政策制定者和农业社区提供指导方针,以减轻水资源稀缺通过这种创新的干预措施的不利影响。

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