Impacts of irrigation on dry season precipitation in India
Impacts of irrigation on dry season precipitation in India
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DOI：
10.1007/s00704-010-0338-z
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发表时间：
2011-01
影响因子：
3.4
通讯作者：
Shouraseni Sen Roy;R. Mahmood;A. Quintanar;Á. González
中科院分区：
文献类型：
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作者：
Shouraseni Sen Roy;R. Mahmood;A. Quintanar;Á. González
缺乏观测到的以数据为基础的研究，以检验土壤湿度条件（由于灌溉）增强对普遍降水的作用。因此，在本研究中，我们研究了绿色革命（GR）相关的灌溉扩大和印度旱季(therabi（11月至5月）和thezaid（3月至6月）降水变化的影响。部分地区在gr前和gr后降水分别呈减少和增加的趋势。例如，在中央邦东部，gr前和gr后的降水趋势分别为- 0.45和2.40 mm year - 1。另一方面，一些地区在gr后降水下降速率较低。本文认为，gr后的正下降趋势和下降趋势都与灌水增加降水有关。研究发现，gr后生长季节的降水总量增加了69毫米（121%）。此外，平均降水量也增加了175%。灌区在gr后生长季降水显著增加。结果表明，大部分地区生长季平均降水量在gr前后的差异具有统计学意义。为了进一步验证结果，应用了MM5和Noah陆面模型。这些应用显示了由于土壤湿度的变化而引起的降水和各种降水控制因子的变化。
There is a lack of observed data-based studies examining the role of enhanced soil moisture conditions (due to irrigation) on the prevailing precipitation. Therefore, in the present study, we have examined the impacts of the Green Revolution (GR) related expansion of irrigation and changes in dry season (therabi(November to May) and thezaid(March to June)) precipitation in India. The results for some regions indicated decreasing and increasing trend in precipitation during the pre- and post-GR periods, respectively. For example, in eastern Madhya Pradesh, the pre- and post-GR precipitation trends for the zaid season were −0.45 and 2.40 mm year−1, respectively. On the other hand, some regions reported lower rate of decline in precipitation during the post-GR period. This paper suggests that both positive and lower declining trend during the post-GR period were linked to increased precipitation due to the introduction of irrigation. The study has found up to 69 mm (121%) increase in total amount of precipitation for growing seasons during the post-GR period. Moreover, a 175% increase in average precipitation was also recorded.Allirrigated regions show a notable increase in precipitation during post-GR growing seasons. It was found that differences in growing season average precipitation between the pre- and post-GR periods were statistically significant for most of the regions. For further verification of results, the MM5 and Noah land surface model were applied. These applications show changes in precipitation and various precipitation controlling factors due to changes in soil moisture.