Articles | Volume 17, issue 11
https://doi.org/10.5194/nhess-17-1947-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-17-1947-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Developing drought impact functions for drought risk management
Sophie Bachmair
CORRESPONDING AUTHOR
Environmental Hydrological Systems, Faculty of Environment and Natural
Resources, University of Freiburg, Freiburg, 79098, Germany
Cecilia Svensson
Centre for Ecology & Hydrology, Wallingford, UK
Ilaria Prosdocimi
Centre for Ecology & Hydrology, Wallingford, UK
now at: the Department of Mathematical Sciences, University of Bath,
Claverton Down, Bath, Somerset, BA2 7AY, UK
Jamie Hannaford
Centre for Ecology & Hydrology, Wallingford, UK
Kerstin Stahl
Environmental Hydrological Systems, Faculty of Environment and Natural
Resources, University of Freiburg, Freiburg, 79098, Germany
Viewed
Total article views: 4,539 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 May 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,592 | 1,758 | 189 | 4,539 | 132 | 151 |
- HTML: 2,592
- PDF: 1,758
- XML: 189
- Total: 4,539
- BibTeX: 132
- EndNote: 151
Total article views: 3,661 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Nov 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,063 | 1,426 | 172 | 3,661 | 125 | 136 |
- HTML: 2,063
- PDF: 1,426
- XML: 172
- Total: 3,661
- BibTeX: 125
- EndNote: 136
Total article views: 878 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 May 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
529 | 332 | 17 | 878 | 7 | 15 |
- HTML: 529
- PDF: 332
- XML: 17
- Total: 878
- BibTeX: 7
- EndNote: 15
Viewed (geographical distribution)
Total article views: 4,539 (including HTML, PDF, and XML)
Thereof 4,272 with geography defined
and 267 with unknown origin.
Total article views: 3,661 (including HTML, PDF, and XML)
Thereof 3,422 with geography defined
and 239 with unknown origin.
Total article views: 878 (including HTML, PDF, and XML)
Thereof 850 with geography defined
and 28 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
55 citations as recorded by crossref.
- Quantifying thresholds for advancing impact-based drought assessment using classification and regression tree (CART) models A. Veettil & A. Mishra 10.1016/j.jhydrol.2023.129966
- Relating drought indices to impacts reported in newspaper articles P. O'Connor et al. 10.1002/joc.7946
- Multi-driver ensemble to evaluate the water utility business interruption cost induced by hydrological drought risk scenarios in Brazil D. Guzmán et al. 10.1080/1573062X.2022.2058564
- Application of penalized linear regression and ensemble methods for drought forecasting in Northeast China Z. Li et al. 10.1007/s00703-019-00675-8
- Explainable machine learning for the prediction and assessment of complex drought impacts B. Zhang et al. 10.1016/j.scitotenv.2023.165509
- Impact Forecasting to Support Emergency Management of Natural Hazards B. Merz et al. 10.1029/2020RG000704
- Improvement of Integrated Watershed Management in Indonesia for Mitigation and Adaptation to Climate Change: A Review T. Basuki et al. 10.3390/su14169997
- Building an Improved Drought Climatology Using Updated Drought Tools: A New Mexico Food-Energy-Water (FEW) Systems Focus L. Johnson et al. 10.3389/fclim.2020.576653
- Drought risk assessment of spring maize based on APSIM crop model in Liaoning province, China Y. Wang et al. 10.1016/j.ijdrr.2020.101483
- Establishment of agricultural drought loss models: A comparison of statistical methods X. Zhu et al. 10.1016/j.ecolind.2020.106084
- Nationwide temporal variability of droughts in the Kingdom of Eswatini: 1981–2018 C. Tfwala et al. 10.1016/j.heliyon.2020.e05707
- Drought Analyses of the Horné Požitavie Region (Slovakia) in the Period 1966–2013 J. Vido et al. 10.1155/2019/3576285
- Water Scarcity Risk Index: A Tool for Strategic Drought Risk Management F. Thomaz et al. 10.3390/w15020255
- Regional variations in the link between drought indices and reported agricultural impacts of drought D. Parsons et al. 10.1016/j.agsy.2019.02.015
- Assessment of dynamic drought-induced ecosystem risk: Integrating time-varying hazard frequency, exposure and vulnerability W. Fang et al. 10.1016/j.jenvman.2023.118176
- A New Comprehensive Framework for Identifying and Monitoring the Interseasonal Characteristics of Meteorological Drought H. Amin et al. 10.1155/2023/5410333
- Integrating Satellite Images and Machine Learning for Flood Prediction and Susceptibility Mapping for the Case of Amibara, Awash Basin, Ethiopia G. Wedajo et al. 10.3390/rs16122163
- Driving Forces and Socio-Economic Impacts of Low-Flow Events in Central Europe: A Literature Review Using DPSIR Criteria L. Folkens et al. 10.3390/su151310692
- Machine-learning methods to assess the effects of a non-linear damage spectrum taking into account soil moisture on winter wheat yields in Germany M. Peichl et al. 10.5194/hess-25-6523-2021
- Drought impact links to meteorological drought indicators and predictability in Spain H. Torelló-Sentelles & C. Franzke 10.5194/hess-26-1821-2022
- Assessing the likelihood of drought impact occurrence with extreme gradient boosting: a case study on the public water supply in South Korea J. Seo & Y. Kim 10.2166/hydro.2023.064
- Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction M. Saber et al. 10.1080/10106049.2021.1974959
- Moving from drought hazard to impact forecasts S. Sutanto et al. 10.1038/s41467-019-12840-z
- Identification of drought endemic areas in Musi Banyuasin regency B. Utomo et al. 10.1016/j.kjs.2023.03.002
- A deep learning perspective on meteorological droughts prediction in the Mun River Basin, Thailand U. Humphries et al. 10.1063/5.0209709
- Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China Y. Deng et al. 10.1016/j.ecolind.2021.107393
- How well do gridded precipitation and actual evapotranspiration products represent the key water balance components in the Nile Basin? I. McNamara et al. 10.1016/j.ejrh.2021.100884
- Advances and gaps in the science and practice of impact‐based forecasting of droughts A. Shyrokaya et al. 10.1002/wat2.1698
- Mapping and assessing drought losses in China: A process-based framework analysis T. Wang & F. Sun 10.1016/j.ijdrr.2024.104739
- Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya M. Lam et al. 10.5194/nhess-23-2915-2023
- Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany J. Sodoge et al. 10.5194/nhess-24-1757-2024
- National-to-Local Aid and Recovery from Extreme Weather Events: Evidence from the Philippines M. Abrigo & A. Brucal 10.2139/ssrn.3590258
- Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview M. de Brito et al. 10.1029/2023EF003906
- Proportional odds model for identifying spatial inter-seasonal propagation of meteorological drought R. Niaz et al. 10.1080/19475705.2022.2095934
- Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B. Monteleone et al. 10.1007/s11069-022-05791-0
- Unveiling the spatiotemporal impacts of the 2021 Central Asian drought on vegetation: A comprehensive quantitative analysis H. Guo et al. 10.1016/j.ecolind.2024.112238
- Logistic Regression Analysis for Spatial Patterns of Drought Persistence R. Niaz et al. 10.1155/2021/3724919
- Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling M. Saber et al. 10.1080/19475705.2023.2203798
- Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. 10.5194/nhess-19-551-2019
- Drought impact prediction across time and space: limits and potentials of text reports R. Stephan et al. 10.1088/1748-9326/acd8da
- Assessing vegetation resilience and vulnerability to drought events in Central Asia L. Jiang et al. 10.1016/j.jhydrol.2024.131012
- Evaluating the performance of random forest for large-scale flood discharge simulation L. Schoppa et al. 10.1016/j.jhydrol.2020.125531
- Dynamics of Socioeconomic Exposure, Vulnerability and Impacts of Recent Droughts in Argentina G. Naumann et al. 10.3390/geosciences9010039
- Europe under multi-year droughts: how severe was the 2014–2018 drought period? V. Moravec et al. 10.1088/1748-9326/abe828
- Modelling agricultural drought: a review of latest advances in big data technologies I. Hanadé Houmma et al. 10.1080/19475705.2022.2131471
- Quantifying the Similarity in Perceptions of Multiple Stakeholders in Dingcheng, China, on Agricultural Drought Risk Governance Y. Wu et al. 10.3390/su10093219
- Skill of large-scale seasonal drought impact forecasts S. Sutanto et al. 10.5194/nhess-20-1595-2020
- Towards drought impact-based forecasting in a multi-hazard context V. Boult et al. 10.1016/j.crm.2022.100402
- Identifying inter-seasonal drought characteristics using binary outcome panel data models R. Niaz et al. 10.1080/10106049.2023.2178527
- Developing stage-specific drought vulnerability curves for maize: The case study of the Po River basin B. Monteleone et al. 10.1016/j.agwat.2022.107713
- Application of Machine Learning and Process-Based Models for Rainfall-Runoff Simulation in DuPage River Basin, Illinois A. Bhusal et al. 10.3390/hydrology9070117
- High Resolution Forecasting of Summer Drought in the Western United States R. Abolafia‐Rosenzweig et al. 10.1029/2022WR033734
- Impact of an Integrated Approach in Disaster Management O. Njoku et al. 10.4018/IJOCI.2020040102
- Good weather for a ride (or not?): how weather conditions impact road accidents — a case study from Wielkopolska (Poland) I. Pińskwar et al. 10.1007/s00484-023-02592-3
- The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets C. Linés et al. 10.5194/hess-21-4747-2017
54 citations as recorded by crossref.
- Quantifying thresholds for advancing impact-based drought assessment using classification and regression tree (CART) models A. Veettil & A. Mishra 10.1016/j.jhydrol.2023.129966
- Relating drought indices to impacts reported in newspaper articles P. O'Connor et al. 10.1002/joc.7946
- Multi-driver ensemble to evaluate the water utility business interruption cost induced by hydrological drought risk scenarios in Brazil D. Guzmán et al. 10.1080/1573062X.2022.2058564
- Application of penalized linear regression and ensemble methods for drought forecasting in Northeast China Z. Li et al. 10.1007/s00703-019-00675-8
- Explainable machine learning for the prediction and assessment of complex drought impacts B. Zhang et al. 10.1016/j.scitotenv.2023.165509
- Impact Forecasting to Support Emergency Management of Natural Hazards B. Merz et al. 10.1029/2020RG000704
- Improvement of Integrated Watershed Management in Indonesia for Mitigation and Adaptation to Climate Change: A Review T. Basuki et al. 10.3390/su14169997
- Building an Improved Drought Climatology Using Updated Drought Tools: A New Mexico Food-Energy-Water (FEW) Systems Focus L. Johnson et al. 10.3389/fclim.2020.576653
- Drought risk assessment of spring maize based on APSIM crop model in Liaoning province, China Y. Wang et al. 10.1016/j.ijdrr.2020.101483
- Establishment of agricultural drought loss models: A comparison of statistical methods X. Zhu et al. 10.1016/j.ecolind.2020.106084
- Nationwide temporal variability of droughts in the Kingdom of Eswatini: 1981–2018 C. Tfwala et al. 10.1016/j.heliyon.2020.e05707
- Drought Analyses of the Horné Požitavie Region (Slovakia) in the Period 1966–2013 J. Vido et al. 10.1155/2019/3576285
- Water Scarcity Risk Index: A Tool for Strategic Drought Risk Management F. Thomaz et al. 10.3390/w15020255
- Regional variations in the link between drought indices and reported agricultural impacts of drought D. Parsons et al. 10.1016/j.agsy.2019.02.015
- Assessment of dynamic drought-induced ecosystem risk: Integrating time-varying hazard frequency, exposure and vulnerability W. Fang et al. 10.1016/j.jenvman.2023.118176
- A New Comprehensive Framework for Identifying and Monitoring the Interseasonal Characteristics of Meteorological Drought H. Amin et al. 10.1155/2023/5410333
- Integrating Satellite Images and Machine Learning for Flood Prediction and Susceptibility Mapping for the Case of Amibara, Awash Basin, Ethiopia G. Wedajo et al. 10.3390/rs16122163
- Driving Forces and Socio-Economic Impacts of Low-Flow Events in Central Europe: A Literature Review Using DPSIR Criteria L. Folkens et al. 10.3390/su151310692
- Machine-learning methods to assess the effects of a non-linear damage spectrum taking into account soil moisture on winter wheat yields in Germany M. Peichl et al. 10.5194/hess-25-6523-2021
- Drought impact links to meteorological drought indicators and predictability in Spain H. Torelló-Sentelles & C. Franzke 10.5194/hess-26-1821-2022
- Assessing the likelihood of drought impact occurrence with extreme gradient boosting: a case study on the public water supply in South Korea J. Seo & Y. Kim 10.2166/hydro.2023.064
- Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction M. Saber et al. 10.1080/10106049.2021.1974959
- Moving from drought hazard to impact forecasts S. Sutanto et al. 10.1038/s41467-019-12840-z
- Identification of drought endemic areas in Musi Banyuasin regency B. Utomo et al. 10.1016/j.kjs.2023.03.002
- A deep learning perspective on meteorological droughts prediction in the Mun River Basin, Thailand U. Humphries et al. 10.1063/5.0209709
- Abiotic disturbances affect forest short-term vegetation cover and phenology in Southwest China Y. Deng et al. 10.1016/j.ecolind.2021.107393
- How well do gridded precipitation and actual evapotranspiration products represent the key water balance components in the Nile Basin? I. McNamara et al. 10.1016/j.ejrh.2021.100884
- Advances and gaps in the science and practice of impact‐based forecasting of droughts A. Shyrokaya et al. 10.1002/wat2.1698
- Mapping and assessing drought losses in China: A process-based framework analysis T. Wang & F. Sun 10.1016/j.ijdrr.2024.104739
- Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya M. Lam et al. 10.5194/nhess-23-2915-2023
- Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany J. Sodoge et al. 10.5194/nhess-24-1757-2024
- National-to-Local Aid and Recovery from Extreme Weather Events: Evidence from the Philippines M. Abrigo & A. Brucal 10.2139/ssrn.3590258
- Uncovering the Dynamics of Multi‐Sector Impacts of Hydrological Extremes: A Methods Overview M. de Brito et al. 10.1029/2023EF003906
- Proportional odds model for identifying spatial inter-seasonal propagation of meteorological drought R. Niaz et al. 10.1080/19475705.2022.2095934
- Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B. Monteleone et al. 10.1007/s11069-022-05791-0
- Unveiling the spatiotemporal impacts of the 2021 Central Asian drought on vegetation: A comprehensive quantitative analysis H. Guo et al. 10.1016/j.ecolind.2024.112238
- Logistic Regression Analysis for Spatial Patterns of Drought Persistence R. Niaz et al. 10.1155/2021/3724919
- Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling M. Saber et al. 10.1080/19475705.2023.2203798
- Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. 10.5194/nhess-19-551-2019
- Drought impact prediction across time and space: limits and potentials of text reports R. Stephan et al. 10.1088/1748-9326/acd8da
- Assessing vegetation resilience and vulnerability to drought events in Central Asia L. Jiang et al. 10.1016/j.jhydrol.2024.131012
- Evaluating the performance of random forest for large-scale flood discharge simulation L. Schoppa et al. 10.1016/j.jhydrol.2020.125531
- Dynamics of Socioeconomic Exposure, Vulnerability and Impacts of Recent Droughts in Argentina G. Naumann et al. 10.3390/geosciences9010039
- Europe under multi-year droughts: how severe was the 2014–2018 drought period? V. Moravec et al. 10.1088/1748-9326/abe828
- Modelling agricultural drought: a review of latest advances in big data technologies I. Hanadé Houmma et al. 10.1080/19475705.2022.2131471
- Quantifying the Similarity in Perceptions of Multiple Stakeholders in Dingcheng, China, on Agricultural Drought Risk Governance Y. Wu et al. 10.3390/su10093219
- Skill of large-scale seasonal drought impact forecasts S. Sutanto et al. 10.5194/nhess-20-1595-2020
- Towards drought impact-based forecasting in a multi-hazard context V. Boult et al. 10.1016/j.crm.2022.100402
- Identifying inter-seasonal drought characteristics using binary outcome panel data models R. Niaz et al. 10.1080/10106049.2023.2178527
- Developing stage-specific drought vulnerability curves for maize: The case study of the Po River basin B. Monteleone et al. 10.1016/j.agwat.2022.107713
- Application of Machine Learning and Process-Based Models for Rainfall-Runoff Simulation in DuPage River Basin, Illinois A. Bhusal et al. 10.3390/hydrology9070117
- High Resolution Forecasting of Summer Drought in the Western United States R. Abolafia‐Rosenzweig et al. 10.1029/2022WR033734
- Impact of an Integrated Approach in Disaster Management O. Njoku et al. 10.4018/IJOCI.2020040102
- Good weather for a ride (or not?): how weather conditions impact road accidents — a case study from Wielkopolska (Poland) I. Pińskwar et al. 10.1007/s00484-023-02592-3
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
This study tests the potential for developing empirical
drought impact functionsbased on hydro-meteorological drought indicators as predictors and text-based reports on drought impacts as a surrogate variable for drought damage. We showcase three data-driven modeling approaches and assess the effect of impact report quantification method.
This study tests the potential for developing empirical
drought impact functionsbased on...
Special issue
Altmetrics
Final-revised paper
Preprint