Long Term Historic Changes of Precipitation and Aridity Index over an Indian River Basin

被引:0
|
作者
Dayal, Deen [1 ]
Pandey, Ashish [1 ]
Himanshu, Sushil Kumar [1 ]
Palmate, Santosh S. [1 ]
机构
[1] Indian Inst Technol, Dept Water Resources Dev & Management, Roorkee, Uttar Pradesh, India
关键词
Precipitation; Aridity index; Modified Mann-Kendall; Sen's slope estimator; River basin; UNITED-STATES; TREND TEST; VARIABILITY;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the present study, long term historic changes in precipitation and aridity index (AI) was examined for the period of years 1901 to 2013 at 21 hydro-meteorological stations over Betwa River Basin, part of Uttar Pradesh and Madhya Pradesh states of Central India. Modified Mann-Kendall test was applied for detecting the long term trend and to deal with the condition of serial correlation in time series of precipitation and aridity index. Further, Sen's slope estimator was employed for estimation of slope. AI was calculated for various seasons using formula recommended by United Nations Environment Program. The results revealed that some of the hydro-meteorological stations exhibited increasing trend of precipitation and AI during pre-monsoon season. During monsoon season two stations (Banda and Narsinghpur) exhibited decreasing trend of AI with slope of -2.45 x10(-3) and -2.74 x10(-3), respectively due to increase in potential evapo-transpiration (PET), however, no significant trend was observed in precipitation. During post-monsoon season, no significant trend in precipitation as well as AI was observed. During winter season, only one station (Bhopal) exhibited increasing trend with slope of 0.05 mm/year and 11.84 x10(-5) for precipitation and AI, respectively. On yearly basis, only one stations (Banda) exhibited decreasing trend of precipitation with slope of -1.25 mm/year and two stations (Banda and Hamirpur) exhibited decreasing trend of AI with slope of -55.9 x10(-5) and -60.35 x10(-5), respectively. The results of this study is useful for understanding the behavior of drought conditions in the study area.
引用
收藏
页码:262 / 272
页数:11
相关论文
共 50 条
  • [31] RIVER BASIN PERSPECTIVE ON LONG-TERM CHANGES IN THE TRANSPORT OF NITROGEN AND PHOSPHORUS
    KARLSSON, G
    GRIMVALL, A
    LOWGREN, M
    WATER RESEARCH, 1988, 22 (02) : 139 - 149
  • [32] Changes in precipitation and temperature in Xiangjiang River Basin, China
    Chong Ma
    Suli Pan
    Guoqing Wang
    Yufang Liao
    Yue-Ping Xu
    Theoretical and Applied Climatology, 2016, 123 : 859 - 871
  • [33] Changes in precipitation and temperature in Xiangjiang River Basin, China
    Ma, Chong
    Pan, Suli
    Wang, Guoqing
    Liao, Yufang
    Xu, Yue-Ping
    THEORETICAL AND APPLIED CLIMATOLOGY, 2016, 123 (3-4) : 859 - 871
  • [34] Changes in precipitation extremes in Brazil (Parana River Basin)
    Zandonadi, Leandro
    Acquaotta, Fiorella
    Fratianni, Simona
    Zavattini, Joao Afonso
    THEORETICAL AND APPLIED CLIMATOLOGY, 2016, 123 (3-4) : 741 - 756
  • [35] Spatiotemporal changes of the aridity index in Xinjiang over the past 60 years
    Xiulan Wu
    Cunjie Zhang
    Siyan Dong
    Jiahui Hu
    Xinyi Tong
    Xiannian Zheng
    Environmental Earth Sciences, 2023, 82
  • [36] Evaluation of historical and future precipitation changes in CMIP6 over the Tarim River Basin
    Jingping Zuo
    Cuncun Qian
    Theoretical and Applied Climatology, 2022, 150 : 1659 - 1675
  • [37] Evaluation of historical and future precipitation changes in CMIP6 over the Tarim River Basin
    Zuo, Jingping
    Qian, Cuncun
    THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 150 (3-4) : 1659 - 1675
  • [38] Meteorological drought analysis using Standardized Precipitation Index over Luni River Basin in Rajasthan, India
    Das, Jayanta
    Gayen, Amiya
    Saha, Piu
    Bhattacharya, Sudip Kumar
    SN APPLIED SCIENCES, 2020, 2 (09):
  • [39] Meteorological drought analysis using Standardized Precipitation Index over Luni River Basin in Rajasthan, India
    Jayanta Das
    Amiya Gayen
    Piu Saha
    Sudip Kumar Bhattacharya
    SN Applied Sciences, 2020, 2
  • [40] Long-term variability of extreme precipitation with WRF model at a complex terrain River Basin
    Zhang, Yinchi
    Deng, Chao
    Xu, Wanling
    Zhuang, Yao
    Jiang, Lizhi
    Jiang, Caiying
    Guan, Xiaojun
    Wei, Jianhui
    Ma, Miaomiao
    Chen, Ying
    Peng, Jian
    Gao, Lu
    SCIENTIFIC REPORTS, 2025, 15 (01):