Assessment of Water Stress in Rice Fields Incorporating Environmental Parameters

Muhammad Kamran, S. Ahmad, Khurram Chohan, Azeem Akhtar, Amna Hassan, Rao Mansor Ali Khan
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Abstract

Rice is considered as a major crop due to its demand globally. Pakistan is famous throughout the world to produce export quality rice which have healthy contribution in boosting the regional economy. Rice plant require plenty of water for its proper growth and development therefore, water conservation is significant to maintain water reserves for a sustainable future. The main objective of this study was to identify day-to-day availability of water in rice fields from Germination to Ripening (GTR) using Carnegie Ames Stanford Approach (CASA) model. CASA model incorporates real-time parameter e.g., temperature, pressure, extraterrestrial radiations, Leaf Area Index (LAI), vapor pressure and sunshine hours to compute net-shortwave radiations (Rns), net-longwave radiations (Rnl), net-radiations (Rn), actual incoming radiations (Rso), sensible heat flux (H), ground heat flux (Go) and finally the water stress (W). The averaged values of Rn, Rso, Rns, Rnl and H were computed as 206, 319, 178, 34 and 124 (wm-2) respectively for GTR. Total expected sunshine hours were 1584h but we could receive only 874 h during GTR due to “off and on” cloud activity. LAI and Go were observed in inverse relation to each other.
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结合环境参数的稻田水分胁迫评价
由于全球需求,大米被认为是主要作物。巴基斯坦以生产出口优质大米而闻名世界,为促进地区经济做出了健康贡献。水稻的生长发育需要大量的水分,因此,保持水分储备对未来的可持续发展具有重要意义。本研究的主要目的是利用卡耐基-艾姆斯-斯坦福方法(CASA)模型确定稻田从发芽到成熟(GTR)的日常可用性。CASA模型结合温度、气压、地外辐射、叶面积指数(LAI)、水汽压和日照时数等实时参数,计算净短波辐射(Rns)、净长波辐射(Rnl)、净辐射(Rn)、实际入射辐射(Rso)、感热通量(H)、地热通量(Go)和水分胁迫(W),计算GTR的Rn、Rso、Rns、Rnl和H的平均值分别为206、319、178、34和124 (wm-2)。预计总日照时数为1584小时,但由于“时断时续”的云层活动,我们在GTR期间只能接收到874小时。LAI和Go呈反比关系。
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