Propagation of Meteorological to Hydrological Droughts in India

被引:107
作者
Bhardwaj, Kunal [1 ]
Shah, Deep [1 ]
Aadhar, Saran [1 ]
Mishra, Vimal [1 ,2 ]
机构
[1] Indian Inst Technol IIT Gandhinagar, Civil Engn, Gandhinagar, India
[2] Indian Inst Technol IIT Gandhinagar, Earth Sci, Gandhinagar, India
关键词
drought; propagation; hydrological drought; meteorological drought; India; RIVER-BASIN; WATER; MODEL;
D O I
10.1029/2020JD033455
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Drought is among the costliest natural disasters that affect the economy, food and water security, and socioeconomic well-being of about 1.4 billion people in India. Despite the profound implications of droughts, the propagation of meteorological to hydrological droughts in India is not examined. Here, we use observations and simulations from a well-calibrated and evaluated Variable Infiltration Capacity (VIC) model to estimate drought propagation in India. Standardized Precipitation Index (SPI), Standardized Soil Moisture Index (SSMI), and Standardized Streamflow Index (SSI) were estimated for 223 catchments in India to represent meteorological, agricultural, and hydrological droughts, respectively. We estimated drought propagation time for these catchments located in 18 major Indian subcontinental river basins. Internal propagation of hydrological drought was estimated using optimal hydrological Instantaneous Development Speed (IDS) and Instantaneous Recovery Speed (IRS) from onset to the termination. Indus, Sabarmati, and Godavari river basins have higher propagation time of meteorological to hydrological droughts. The high (low) development rate of hydrological drought is followed by the high (low) recovery rate for most of the locations. We find significant influence of Seasonality Index (SI) and Base Flow Index (BFI) on propagation time of meteorological to hydrological droughts in the Indian subcontinental river basins. Overall, understanding of drought propagation, development/recovery speed, and their deriving factors can assist in the management and planning of water resources in India.
引用
收藏
页数:22
相关论文
共 82 条
[1]   High-resolution near real-time drought monitoring in South Asia [J].
Aadhar, Saran ;
Mishra, Vimal .
SCIENTIFIC DATA, 2017, 4
[2]  
[Anonymous], 1993, DROUGHT POLICY POLIT
[3]   Understanding the Role of Climate Characteristics in Drought Propagation [J].
Apurv, Tushar ;
Sivapalan, Murugesu ;
Cai, Ximing .
WATER RESOURCES RESEARCH, 2017, 53 (11) :9304-9329
[4]   Anthropogenic and Climate Contributions on the Changes in Terrestrial Water Storage in India [J].
Asoka, Akarsh ;
Mishra, Vimal .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (10)
[5]   Drought and Deforestation: Has Land Cover Change Influenced Recent Precipitation Extremes in the Amazon? [J].
Bagley, Justin E. ;
Desai, Ankur R. ;
Harding, Keith J. ;
Snyder, Peter K. ;
Foley, Jonathan A. .
JOURNAL OF CLIMATE, 2014, 27 (01) :345-361
[6]   Drought mitigation: Critical analysis and proposal for a new drought policy with special reference to Gujarat (India) [J].
Bandyopadhyay, N. ;
Bhuiyan, C. ;
Saha, A. K. .
PROGRESS IN DISASTER SCIENCE, 2020, 5
[7]   From meteorological to hydrological drought using standardised indicators [J].
Barker, Lucy J. ;
Hannaford, Jamie ;
Chiverton, Andrew ;
Svensson, Cecilia .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2016, 20 (06) :2483-2505
[8]  
Bhuiyan C., 2004, P 20 ISPRS C INT SOC
[9]   Characterizing the Surface Features of the 1999-2005 Canadian Prairie Drought in Relation to Previous Severe Twentieth Century Events [J].
Bonsal, Barrie R. ;
Wheaton, Elaine E. ;
Meinert, Alison ;
Siemens, Evan .
ATMOSPHERE-OCEAN, 2011, 49 (04) :320-338
[10]  
Budyko M.I., 1974, CLIMATE LIFE, P1