使用定制本土方法预测印度索拉什特拉邦西南季风模式

Q4 Engineering Disaster Advances Pub Date : 2023-02-15 DOI:10.25303/1603da035043
M. Gundalia, P. Gundaliya, J. Gundalia
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引用次数: 0

摘要

印度是一个以农业为主的国家,农产品深受西南季风的影响。季风预报对于规划选择合适的Kharif作物及其品种以最大限度地减少作物损失至关重要。许多印度科学家提出了基于科学的技术,而当地传统农民则使用本土方法来预测天气状况,并预测西南季风的可能行为。然而,预测西南季风模式仍然是迄今为止最具挑战性的任务。在本研究中,基于对一些当地因素的观测,开发了一种预测索拉什特拉邦(印度)次区域西南季风的方法,这些因素包括对当地天气、风的类型及其方向、热浪、天文参数和云型模式的观测。预测的平均降雨量为860毫米,比2019年减少了近20%(1055毫米)。结果表明,该方法低估了降雨量,并提供了一致的结果。R3亚区表现较好,R5亚区表现较差。这将有助于研究地区的农民在确定的播种时间规划和选择合适的作物及其变量,以确保Kharif的生产。
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Prediction of Southwest Monsoon Pattern of Saurashtra Region (India) using Customized Indigenous Method
India is an agriculture-based country and the agriculture product is highly influenced by the Southwest monsoon. Forecasting of monsoon is of prime importance for planning to select appropriate Kharif crops and their varieties to minimize crop losses. Many Indian scientists have proposed sciencebased techniques while local traditional farmers have used indigenous methods to forecast weather conditions and predict a likely behaviour of the Southwest monsoon. However, predicting the Southwest monsoon pattern remains the most challenging task till date. In the present study, a methodology is developed to predict the Southwest monsoon for sub-regions of Saurashtra (India) based on the observation of some of the local factors consisting of observation of local weather, type of wind and its direction, heat waves, astronomical parameters and cloud type pattern. The predicted average rainfall was found 860mm which is nearly 20% less (1055mm) for the year 2019.The results show that the methodology under predicted the rainfall and provided consistent outcomes. It performed well in R3 sub-region and poor in R5 subregion. It will be useful to the farmers of the study region in planning and selection of appropriate crops and its variables at a definite sowing time to secure Kharif production.
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来源期刊
Disaster Advances
Disaster Advances 地学-地球科学综合
CiteScore
0.70
自引率
0.00%
发文量
57
审稿时长
3.5 months
期刊介绍: Information not localized
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