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首页> 外文期刊>Annals of Agricultural Research >Climate variability impact on water requirement of spring maize in central and sub-mountainous Punjab
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Climate variability impact on water requirement of spring maize in central and sub-mountainous Punjab

机译:气候变化对旁遮普中部和次山地春玉米需水量的影响

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Long-term variability in potential evapotranspiration (PET) of spring maize during the period 1985-2014 was assessed for two agroclimatic regions i.e. Ludhiana representing central plain region and Ballowal Saunkhari representing sub-mountainous agroclimatic region of Punjab. PET of spring maize has been observed to increase over years at both the locations @ 1.3 mm year"1 at Ludhiana and 2.9 mm year"1 at Ballowal Saunkhari. During the period of three decades, Ludhiana experienced lowest of 693.0 mmof PET during 1997 and highest 931.9 mm during 2010, while, Ballowal Saunkhari experienced lowest PET of 723.7 mm during 1992 and a highest of 954.7 mm during 2010 during the growing period of spring maize. Day time temperature was found to have positivecorrelation with PET of spring maize at Ludhiana (r = 0.87) and Ballowal Saunkhari (r = 0.90). Similarly, morning and evening RH were negatively correlated with PET at Ludhiana (r = -0.56 and -0.42) and Ballowal Saunkhari (r = -0.36 and -0.31). Multipleregression models explained 75 to 82 per cent variation in PET of spring maize at Ludhiana and 79 to 90 per cent variability at Ballowal Saunkhari because of the weather parameters. The study indicates that increase in water requirements under warming scenarios will put more pressure on already depleting water resources in the state and hence need to be managed in view of changing climatic conditions.
机译:对两个农业气候区(即代表中部平原区的Ludhiana和代表旁遮普邦次山地农业气候区的Ballowal Saunkhari)的1985-2014年春季玉米潜在蒸散量(PET)的长期变化进行了评估。在卢迪亚纳,“ 1.3 mm year-1”和Ballowal Saunkhari 2.9mm year-1处,春玉米的PET均在多年内增加。在过去的三十年中,卢迪亚纳1997年的PET最低为693.0 mm,2010年的最高为931.9 mm,而Ballowal Saunkhari在1992年春季的PET最低,为723.7 mm,在2010年春季的PET最高为954.7 mm。 。在卢迪亚纳(r = 0.87)和Ballowal Saunkhari(r = 0.90),发现白天温度与春玉米的PET正相关。同样,在卢迪亚纳(r = -0.56和-0.42)和Ballowal Saunkhari(r = -0.36和-0.31),早晚的RH与PET呈负相关。多元回归模型解释了在卢迪亚纳,春季玉米的PET的变化在75%至82%之间,而在Ballowal Saunkhari地区,由于天气参数的变化在79%至90%之间。该研究表明,在变暖情况下需水量的增加将对该州已经枯竭的水资源施加更大的压力,因此需要根据气候条件的变化进行管理。

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