利用长期降雨数据评估印度中部邦德尔康德地区的降雨侵蚀性

IF 0.7 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

MAUSAM Pub Date : 2024-03-24 DOI:10.54302/mausam.v75i2.3893

A. Gupta, C. P. Sawant, Mukesh Kumar, R. K. Singh, K. V. R. Rao

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引用次数: 0

摘要

预防土壤侵蚀需要对该地区的降雨侵蚀率和其他相关变量进行长期评估。本研究计算了与降雨侵蚀相关的四个变量，即修正的富尼耶指数（MFI）、降雨侵蚀因子（R）、侵蚀密度（ED）和降水集中指数（PCI）。分析中使用了邦德尔康德地区（印度中部）的长期（1901-2021 年）日降雨量数据。对上述变量进行了年度和季节尺度的时空变异性评估。R 因子值从 3010.61 兆焦耳.毫米公顷-1 小时到 5346.53 兆焦耳.毫米公顷-1 小时不等，表明该地区属于中度到严重侵蚀等级。根据计算，邦德尔坎德地区的年平均 R 系数、MFI、ED 和 PCI 值分别为 4072.86 MJ.mm ha-1 h-1、270.55 mm、19.13 MJ ha-1 h-1 和 28.88。这项研究揭示了邦德尔坎德邦地区的水土流失问题，有助于采取预防措施和流域开发活动。

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Assessment of rainfall erosivity for Bundelkhand region of central India using long-term rainfall data

Prevention of soil erosion requires long term assessment of rainfall erosivity and other related variables of the region. In the present study, four variables related to rainfall erosivity i.e. modified Fournier index (MFI), rainfall erosivity (R) factor, erosivity density (ED) and precipitation concentration index (PCI) were calculated. Long-term (1901-2021) daily rainfall data of Bundelkhand region (Central India) were used in the analysis. The above variables were assessed for spatial and temporal variability on annual and seasonal scale. The R-factor values range from 3010.61 MJ.mm ha-1 h-1 to 5346.53 MJ.mm ha-1 h-1, showing the region belongs to moderate to severe erosivity class. The mean annual R-factor, MFI, ED and PCI values for the Bundelkhand region were calculated as 4072.86 MJ.mm ha-1 h-1, 270.55 mm, 19.13 MJ ha-1 h-1 and 28.88, respectively. This study provides the insights of soil erosion problems of Bundelkhand region and would help in adopting the preventive measures and watershed development activities.

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来源期刊

MAUSAM 地学-气象与大气科学

CiteScore

1.20

自引率

0.00%

发文量

1298

审稿时长

6-12 weeks

期刊介绍： MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.