- Risk, Expertise, and Drought Management

The paper examines the people participatory approach towards executive process of drought management programmes of Mewat region of Haryana. It is an empirical study, based on 93 respondents, taken from three villages, who have been engaged in varied drought management activities within these villages. The study has thrown an adequate light on various levels of benefits and varied degree of satisfaction, derived from the drought management projects, executed in these villages, characterized with different topographical attributes. On the basis of findings of the study, varied inferences have been drawn from the study. This participatory approach has also been testified with correlation technique which shows the results in accordance with responses, responded by the people; belonged to various strata of rural society in their respective villages of Mewat region.

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The Importance of Pastoralists' Indigenous Coping Strategies for Planning Drought Management in the Arid Zone of Kenya

Nomadic Peoples ◽

10.3167/082279401782310998 ◽

2001 ◽

Vol 5 (1) ◽

pp. 89-119 ◽

Cited By ~ 21

Author(s):

Gufu Oba

Keyword(s):

Coping Strategies ◽

Arid Zone ◽

Drought Management

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A Probabilistic Risk Assessment of the National Economic Impacts of Regulatory Drought Management on Irrigated Agriculture

Earth s Future ◽

10.1029/2018ef001092 ◽

2019 ◽

Vol 7 (2) ◽

pp. 178-196 ◽

Cited By ~ 7

Author(s):

G. Salmoral ◽

D. Rey ◽

A. Rudd ◽

P. Margon ◽

I. Holman

Keyword(s):

Risk Assessment ◽

Economic Impacts ◽

Probabilistic Risk Assessment ◽

Irrigated Agriculture ◽

Drought Management ◽

National Economic ◽

Probabilistic Risk

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The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets

Hydrology and Earth System Sciences ◽

10.5194/hess-21-4747-2017 ◽

2017 ◽

Vol 21 (9) ◽

pp. 4747-4765 ◽

Cited By ~ 8

Author(s):

Clara Linés ◽

Micha Werner ◽

Wim Bastiaanssen

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Data Sets ◽

Drought Management ◽

Ebro Basin ◽

Sensing Data ◽

Drought Impacts ◽

Management Plans ◽

Drought Indicators ◽

Selection Of

Abstract. The implementation of drought management plans contributes to reduce the wide range of adverse impacts caused by water shortage. A crucial element of the development of drought management plans is the selection of appropriate indicators and their associated thresholds to detect drought events and monitor the evolution. Drought indicators should be able to detect emerging drought processes that will lead to impacts with sufficient anticipation to allow measures to be undertaken effectively. However, in the selection of appropriate drought indicators, the connection to the final impacts is often disregarded. This paper explores the utility of remotely sensed data sets to detect early stages of drought at the river basin scale and determine how much time can be gained to inform operational land and water management practices. Six different remote sensing data sets with different spectral origins and measurement frequencies are considered, complemented by a group of classical in situ hydrologic indicators. Their predictive power to detect past drought events is tested in the Ebro Basin. Qualitative (binary information based on media records) and quantitative (crop yields) data of drought events and impacts spanning a period of 12 years are used as a benchmark in the analysis. Results show that early signs of drought impacts can be detected up to 6 months before impacts are reported in newspapers, with the best correlation–anticipation relationships for the standard precipitation index (SPI), the normalised difference vegetation index (NDVI) and evapotranspiration (ET). Soil moisture (SM) and land surface temperature (LST) offer also good anticipation but with weaker correlations, while gross primary production (GPP) presents moderate positive correlations only for some of the rain-fed areas. Although classical hydrological information from water levels and water flows provided better anticipation than remote sensing indicators in most of the areas, correlations were found to be weaker. The indicators show a consistent behaviour with respect to the different levels of crop yield in rain-fed areas among the analysed years, with SPI, NDVI and ET providing again the stronger correlations. Overall, the results confirm remote sensing products' ability to anticipate reported drought impacts and therefore appear as a useful source of information to support drought management decisions.

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