Articles | Volume 14, issue 9
https://doi.org/10.5194/nhess-14-2435-2014
© Author(s) 2014. 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-14-2435-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Sep 2014
Research article |
| 12 Sep 2014
Risk identification of agricultural drought for sustainable Agroecosystems
N. R. Dalezios
Laboratory of Hydrology, Department of Civil Engineering, University of Thessaly, Volos, Greece
Department of Natural Resources Development and Agricultural Engineering, Agricultural University of Athens, Athens, Greece
A. Blanta
Laboratory of Hydrology, Department of Civil Engineering, University of Thessaly, Volos, Greece
N. V. Spyropoulos
Department of Natural Resources Development and Agricultural Engineering, Agricultural University of Athens, Athens, Greece
A. M. Tarquis
CEIGRAM, Technical University of Madrid, Madrid, Spain
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Panagiotis T. Nastos, Nicolas R. Dalezios, Ioannis N. Faraslis, Kostas Mitrakopoulos, Anna Blanta, Marios Spiliotopoulos, Stavros Sakellariou, Pantelis Sidiropoulos, and Ana M. Tarquis
Nat. Hazards Earth Syst. Sci., 21, 1935–1954, https://doi.org/10.5194/nhess-21-1935-2021, https://doi.org/10.5194/nhess-21-1935-2021, 2021
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Risk assessment consists of three steps: identification, estimation and evaluation. Nevertheless, the risk management framework also includes a fourth step, the need for feedback on all the risk assessment undertakings. However, there is a lack of such feedback, which constitutes a serious deficiency in the reduction of environmental hazards at the present time. The objective of this review paper consists of addressing meteorological hazards and extremes within the risk management framework.
Juan José Martín-Sotoca, Antonio Saa-Requejo, Rubén Moratiel, Nicolas Dalezios, Ioannis Faraslis, and Ana María Tarquis
Nat. Hazards Earth Syst. Sci., 19, 1685–1702, https://doi.org/10.5194/nhess-19-1685-2019, https://doi.org/10.5194/nhess-19-1685-2019, 2019
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Vegetation indices based on satellite images, such as the normalized difference vegetation index (NDVI), have been used for damaged pasture insurance. The occurrence of damage is usually defined by NDVI thresholds mainly based on normal statistics. In this work a pasture area in Spain was delimited by MODIS images. A statistical analysis of NDVI was applied to search for alternative distributions. Results show that generalized extreme value distributions present a better fit than normal ones.
Panagiotis T. Nastos and Nicolas R. Dalezios
Nat. Hazards Earth Syst. Sci., 16, 1259–1268, https://doi.org/10.5194/nhess-16-1259-2016, https://doi.org/10.5194/nhess-16-1259-2016, 2016
Juan J. Martin-Sotoca, Ernesto Sanz, Antonio Saa-Requejo, Rubén Moratiel, Andrés F. Almeida-Ñauñay, and Ana M. Tarquis
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-145, https://doi.org/10.5194/nhess-2023-145, 2023
Manuscript not accepted for further review
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This work includes vegetation (VCI) and water content index (WCI) series from two semiarid rangeland areas in Spain. Based on then, a Z-score for both was calculated to use it as an anomaly index. In this way, we associated negative anomalies with drought episodes. Then, we study the relations of these negative anomalies to see if it is possible to use WCI as an alarm of agronomic drought (VCI negative anomaly). The description of the behaviour of both areas and their comparison are made.
Jonathan Rizzi, Ana M. Tarquis, Anne Gobin, Mikhail Semenov, Wenwu Zhao, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 21, 3873–3877, https://doi.org/10.5194/nhess-21-3873-2021, https://doi.org/10.5194/nhess-21-3873-2021, 2021
Panagiotis T. Nastos, Nicolas R. Dalezios, Ioannis N. Faraslis, Kostas Mitrakopoulos, Anna Blanta, Marios Spiliotopoulos, Stavros Sakellariou, Pantelis Sidiropoulos, and Ana M. Tarquis
Nat. Hazards Earth Syst. Sci., 21, 1935–1954, https://doi.org/10.5194/nhess-21-1935-2021, https://doi.org/10.5194/nhess-21-1935-2021, 2021
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Risk assessment consists of three steps: identification, estimation and evaluation. Nevertheless, the risk management framework also includes a fourth step, the need for feedback on all the risk assessment undertakings. However, there is a lack of such feedback, which constitutes a serious deficiency in the reduction of environmental hazards at the present time. The objective of this review paper consists of addressing meteorological hazards and extremes within the risk management framework.
Rubén Moratiel, Raquel Bravo, Antonio Saa, Ana M. Tarquis, and Javier Almorox
Nat. Hazards Earth Syst. Sci., 20, 859–875, https://doi.org/10.5194/nhess-20-859-2020, https://doi.org/10.5194/nhess-20-859-2020, 2020
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The estimation of ETo using temperature is particularly attractive in places where air humidity, wind speed and solar radiation data are not readily available. In this study we used, for the estimation of ETo, seven models against Penman–Monteith FAO 56 with temporal (annual and seasonal) and spatial perspective over Duero basin (Spain). The results of the tested models can be useful for adopting appropriate measures for efficient water management under the limitation of agrometeorological data.
Irene Blanco-Gutiérrez, Rhys Manners, Consuelo Varela-Ortega, Ana M. Tarquis, Lucieta G. Martorano, and Marisol Toledo
Nat. Hazards Earth Syst. Sci., 20, 797–813, https://doi.org/10.5194/nhess-20-797-2020, https://doi.org/10.5194/nhess-20-797-2020, 2020
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The Amazon rainforest is being destroyed, resulting in negative ecological and social impacts. We explore how stakeholders perceive the causes of the Amazon's degradation in Bolivia and Brazil and develop a series of scenarios to help strengthen the balance between human development and environmental conservation. The results suggest that the application of governance and well-integrated technical and social reform strategies encourages positive regional changes even under climate change.
Omar Roberto Valverde-Arias, Paloma Esteve, Ana María Tarquis, and Alberto Garrido
Nat. Hazards Earth Syst. Sci., 20, 345–362, https://doi.org/10.5194/nhess-20-345-2020, https://doi.org/10.5194/nhess-20-345-2020, 2020
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We designed an index-based insurance (IBI) for drought and flood in rice crops in Babahoyo (Ecuador). We assessed Babahoyo's soil, climatic and topographic variability, finding two homogeneous zones inside this area. We set differentiated insurance premiums according to the particular risk status of each zone. Results demonstrate that this IBI is an efficient risk transfer tool for policyholders. This insurance design could contribute to stabilizing farmers' incomes and rice production.
María del Pilar Jiménez-Donaire, Ana Tarquis, and Juan Vicente Giráldez
Nat. Hazards Earth Syst. Sci., 20, 21–33, https://doi.org/10.5194/nhess-20-21-2020, https://doi.org/10.5194/nhess-20-21-2020, 2020
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A new combined drought indicator (CDI) is proposed that integrates rainfall, soil moisture and vegetation dynamics. The performance of this indicator was evaluated against crop damage data from agricultural insurance schemes in five different areas in SW Spain. Results show that this indicator was able to predict important droughts in 2004–2005 and 2011–2012, marked by crop damage of between 70 % and 95 % of the total insured area. This opens important applications for improving insurance schemes.
Juan José Martín-Sotoca, Antonio Saa-Requejo, Rubén Moratiel, Nicolas Dalezios, Ioannis Faraslis, and Ana María Tarquis
Nat. Hazards Earth Syst. Sci., 19, 1685–1702, https://doi.org/10.5194/nhess-19-1685-2019, https://doi.org/10.5194/nhess-19-1685-2019, 2019
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Vegetation indices based on satellite images, such as the normalized difference vegetation index (NDVI), have been used for damaged pasture insurance. The occurrence of damage is usually defined by NDVI thresholds mainly based on normal statistics. In this work a pasture area in Spain was delimited by MODIS images. A statistical analysis of NDVI was applied to search for alternative distributions. Results show that generalized extreme value distributions present a better fit than normal ones.
Carmelo Alonso, Ana M. Tarquis, Ignacio Zúñiga, and Rosa M. Benito
Nonlin. Processes Geophys., 24, 141–155, https://doi.org/10.5194/npg-24-141-2017, https://doi.org/10.5194/npg-24-141-2017, 2017
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NDVI and EVI vegetation indexes, estimated from satellite images, can been used to estimate root zone soil moisture. However, depending on the spatial and radiometric resolution of the sensors used, estimations could change. In this work, images taken by satellites IKONOS-2 and LANDSAT-7 of the same location are compared on the four bands involved in these vegetation indexes. The results show that spatial resolution has a similar scaling effect in the four bands, but not radiometric resolution.
Ana M. Tarquis, María Teresa Castellanos, Maria Carmen Cartagena, Augusto Arce, Francisco Ribas, María Jesús Cabello, Juan López de Herrera, and Nigel R. A. Bird
Nonlin. Processes Geophys., 24, 77–87, https://doi.org/10.5194/npg-24-77-2017, https://doi.org/10.5194/npg-24-77-2017, 2017
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Melon crop got different levels of N that constituted a contribution to the variation of soil N at mainly larger scales. During its development a proportion of the N was taken up, adding a second factor of variability at smaller scales. After the melon harvest, the wheat was sown across the plots and harvested at the end of the season. Wheat was used as a N sink crop and allowed us to evaluate the soil N residual. Multiscale and relative entropy were applied to study N scale dependencies.
Panagiotis T. Nastos and Nicolas R. Dalezios
Nat. Hazards Earth Syst. Sci., 16, 1259–1268, https://doi.org/10.5194/nhess-16-1259-2016, https://doi.org/10.5194/nhess-16-1259-2016, 2016
P. Cely, A. M. Tarquis, J. Paz-Ferreiro, A. Méndez, and G. Gascó
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A. Matulka, P. López, J. M. Redondo, and A. Tarquis
Nonlin. Processes Geophys., 21, 269–278, https://doi.org/10.5194/npg-21-269-2014, https://doi.org/10.5194/npg-21-269-2014, 2014
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Leon Scheiber, Mazen Hoballah Jalloul, Christian Jordan, Jan Visscher, Hong Quan Nguyen, and Torsten Schlurmann
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Numerical models are increasingly important for assessing urban flooding, yet reliable input data are oftentimes hard to obtain. Taking Ho Chi Minh City as an example, this paper explores the usability and reliability of open-access data to produce preliminary risk maps that provide first insights into potential flooding hotspots. As a key novelty, a normalized flood severity index is presented which combines flood depth and duration to enhance the interpretation of hydro-numerical results.
Claudia Herbert and Petra Döll
Nat. Hazards Earth Syst. Sci., 23, 2111–2131, https://doi.org/10.5194/nhess-23-2111-2023, https://doi.org/10.5194/nhess-23-2111-2023, 2023
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This paper presents a new method for selecting streamflow drought hazard indicators for monitoring drought hazard for human water supply and river ecosystems in large-scale drought early warning systems. Indicators are classified by their inherent assumptions about the habituation of people and ecosystems to the streamflow regime and their level of drought characterization, namely drought magnitude (water deficit at a certain point in time) and severity (cumulated magnitude since drought onset).
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Khanh Pham Nam
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-93, https://doi.org/10.5194/nhess-2023-93, 2023
Revised manuscript accepted for NHESS
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A global flood model built using a new terrain dataset and evaluated in the central highlands of Vietnam.
Maryse Charpentier-Noyer, Daniela Peredo, Axelle Fleury, Hugo Marchal, François Bouttier, Eric Gaume, Pierre Nicolle, Olivier Payrastre, and Maria-Helena Ramos
Nat. Hazards Earth Syst. Sci., 23, 2001–2029, https://doi.org/10.5194/nhess-23-2001-2023, https://doi.org/10.5194/nhess-23-2001-2023, 2023
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This paper proposes a methodological framework designed for event-based evaluation in the context of an intense flash-flood event. The evaluation adopts the point of view of end users, with a focus on the anticipation of exceedances of discharge thresholds. With a study of rainfall forecasts, a discharge evaluation and a detailed look at the forecast hydrographs, the evaluation framework should help in drawing robust conclusions about the usefulness of new rainfall ensemble forecasts.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-82, https://doi.org/10.5194/nhess-2023-82, 2023
Revised manuscript accepted for NHESS
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A high resolution convection-permitting climate model is coupled with hydrological models over a Mediterranean catchment to simulate historical and future flood events. Results show the added value of this new generation of climate models for simulating Mediterranean floods. Future projections show an increase of the magnitude of the largest floods while the moderate floods are expected to decrease. Most floods are expected to become flashier i.e. potentially catastrophic in a warmer climate.
Min Li, Mingfeng Zhang, Runxiang Cao, Yidi Sun, and Xiyuan Deng
Nat. Hazards Earth Syst. Sci., 23, 1453–1464, https://doi.org/10.5194/nhess-23-1453-2023, https://doi.org/10.5194/nhess-23-1453-2023, 2023
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It is an important disaster reduction strategy to forecast hydrological drought. In order to analyse the impact of human activities on hydrological drought, we constructed the human activity factor based on the method of restoration. With the increase of human index (HI) value, hydrological droughts tend to transition to more severe droughts. The conditional distribution model involving of human activity factor can further improve the forecasting accuracy of drought in the Luanhe River basin.
Patrick Ludwig, Florian Ehmele, Mário J. Franca, Susanna Mohr, Alberto Caldas-Alvarez, James E. Daniell, Uwe Ehret, Hendrik Feldmann, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Michael Kunz, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 1287–1311, https://doi.org/10.5194/nhess-23-1287-2023, https://doi.org/10.5194/nhess-23-1287-2023, 2023
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Heavy precipitation in July 2021 led to widespread floods in western Germany and neighboring countries. The event was among the five heaviest precipitation events of the past 70 years in Germany, and the river discharges exceeded by far the statistical 100-year return values. Simulations of the event under future climate conditions revealed a strong and non-linear effect on flood peaks: for +2 K global warming, an 18 % increase in rainfall led to a 39 % increase of the flood peak in the Ahr river.
Nadav Peleg, Herminia Torelló-Sentelles, Grégoire Mariéthoz, Lionel Benoit, João P. Leitão, and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1233–1240, https://doi.org/10.5194/nhess-23-1233-2023, https://doi.org/10.5194/nhess-23-1233-2023, 2023
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Floods in urban areas are one of the most common natural hazards. Due to climate change enhancing extreme rainfall and cities becoming larger and denser, the impacts of these events are expected to increase. A fast and reliable flood warning system should thus be implemented in flood-prone cities to warn the public of upcoming floods. The purpose of this brief communication is to discuss the potential implementation of low-cost acoustic rainfall sensors in short-term flood warning systems.
Katharina Lengfeld, Paul Voit, Frank Kaspar, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 1227–1232, https://doi.org/10.5194/nhess-23-1227-2023, https://doi.org/10.5194/nhess-23-1227-2023, 2023
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Estimating the severity of a rainfall event based on the damage caused is easy but highly depends on the affected region. A less biased measure for the extremeness of an event is its rarity combined with its spatial extent. In this brief communication, we investigate the sensitivity of such measures to the underlying dataset and highlight the importance of considering multiple spatial and temporal scales using the devastating rainfall event in July 2021 in central Europe as an example.
Paul D. Bates, James Savage, Oliver Wing, Niall Quinn, Christopher Sampson, Jeffrey Neal, and Andrew Smith
Nat. Hazards Earth Syst. Sci., 23, 891–908, https://doi.org/10.5194/nhess-23-891-2023, https://doi.org/10.5194/nhess-23-891-2023, 2023
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We present and validate a model that simulates current and future flood risk for the UK at high resolution (~ 20–25 m). We show that UK flood losses were ~ 6 % greater in the climate of 2020 compared to recent historical values. The UK can keep any future increase to ~ 8 % if all countries implement their COP26 pledges and net-zero ambitions in full. However, if only the COP26 pledges are fulfilled, then UK flood losses increase by ~ 23 %; and potentially by ~ 37 % in a worst-case scenario.
Dirk Eilander, Anaïs Couasnon, Tim Leijnse, Hiroaki Ikeuchi, Dai Yamazaki, Sanne Muis, Job Dullaart, Arjen Haag, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 823–846, https://doi.org/10.5194/nhess-23-823-2023, https://doi.org/10.5194/nhess-23-823-2023, 2023
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In coastal deltas, flooding can occur from interactions between coastal, riverine, and pluvial drivers, so-called compound flooding. Global models however ignore these interactions. We present a framework for automated and reproducible compound flood modeling anywhere globally and validate it for two historical events in Mozambique with good results. The analysis reveals differences in compound flood dynamics between both events related to the magnitude of and time lag between drivers.
Omar Seleem, Georgy Ayzel, Axel Bronstert, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 809–822, https://doi.org/10.5194/nhess-23-809-2023, https://doi.org/10.5194/nhess-23-809-2023, 2023
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Data-driven models are becoming more of a surrogate that overcomes the limitations of the computationally expensive 2D hydrodynamic models to map urban flood hazards. However, the model's ability to generalize outside the training domain is still a major challenge. We evaluate the performance of random forest and convolutional neural networks to predict urban floodwater depth and investigate their transferability outside the training domain.
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-9, https://doi.org/10.5194/nhess-2023-9, 2023
Revised manuscript accepted for NHESS
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The study presents a new version of a framework which allow to model water balance components at any site for a local scale. In comparison to the first version, the second one incorporates new datasets used to setup and force the model. In particular, we want to highlight the ability of the framework to provide seasonal forecasts. This gives the potential stakeholders (farmers, foresters, policymakers etc.) possibility to forecast e.g. soil moisture drought and thus apply necessary measures.
Tahmina Yasmin, Kieran Khamis, Anthony Ross, Subir Sen, Anita Sharma, Debashish Sen, Sumit Sen, Wouter Buytaert, and David M. Hannah
Nat. Hazards Earth Syst. Sci., 23, 667–674, https://doi.org/10.5194/nhess-23-667-2023, https://doi.org/10.5194/nhess-23-667-2023, 2023
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Floods continue to be a wicked problem that require developing early warning systems with plausible assumptions of risk behaviour, with more targeted conversations with the community at risk. Through this paper we advocate the use of a SMART approach to encourage bottom-up initiatives to develop inclusive and purposeful early warning systems that benefit the community at risk by engaging them at every step of the way along with including other stakeholders at multiple scales of operations.
Venkataswamy Sahana and Arpita Mondal
Nat. Hazards Earth Syst. Sci., 23, 623–641, https://doi.org/10.5194/nhess-23-623-2023, https://doi.org/10.5194/nhess-23-623-2023, 2023
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In an agriculture-dependent, densely populated country such as India, drought risk projection is important to assess future water security. This study presents the first comprehensive drought risk assessment over India, integrating hazard and vulnerability information. Future drought risk is found to be more significantly driven by increased vulnerability resulting from societal developments rather than climate-induced changes in hazard. These findings can inform planning for drought resilience.
Andrea Abbate, Leonardo Mancusi, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-15, https://doi.org/10.5194/nhess-2023-15, 2023
Revised manuscript accepted for NHESS
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CRHyME (Climatic Rainfall Hydrogeological Model Experiment) is a new spatially distributed rainfall-runoff model. The main novelties are: the ability to integrate with climatic scenario outputs and the reproduction of geo-hydrological hazards strongly related to rainfalls such as shallow landslide, debris flow and watershed erosion. CRHyME has been written in PYTHON and works at a high spatial and temporal resolution to simulate geo-hydrological hazards triggered by extreme rainfall events.
Susanna Mohr, Uwe Ehret, Michael Kunz, Patrick Ludwig, Alberto Caldas-Alvarez, James E. Daniell, Florian Ehmele, Hendrik Feldmann, Mário J. Franca, Christian Gattke, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Marc Scheibel, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 525–551, https://doi.org/10.5194/nhess-23-525-2023, https://doi.org/10.5194/nhess-23-525-2023, 2023
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The flood event in July 2021 was one of the most severe disasters in Europe in the last half century. The objective of this two-part study is a multi-disciplinary assessment that examines the complex process interactions in different compartments, from meteorology to hydrological conditions to hydro-morphological processes to impacts on assets and environment. In addition, we address the question of what measures are possible to generate added value to early response management.
Yinxue Liu, Paul D. Bates, and Jeffery C. Neal
Nat. Hazards Earth Syst. Sci., 23, 375–391, https://doi.org/10.5194/nhess-23-375-2023, https://doi.org/10.5194/nhess-23-375-2023, 2023
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In this paper, we test two approaches for removing buildings and other above-ground objects from a state-of-the-art satellite photogrammetry topography product, ArcticDEM. Our best technique gives a 70 % reduction in vertical error, with an average difference of 1.02 m from a benchmark lidar for the city of Helsinki, Finland. When used in a simulation of rainfall-driven flooding, the bare-earth version of ArcticDEM yields a significant improvement in predicted inundation extent and water depth.
Joseph L. Gutenson, Ahmad A. Tavakoly, Mohammad S. Islam, Oliver E. J. Wing, William P. Lehman, Chase O. Hamilton, Mark D. Wahl, and T. Christopher Massey
Nat. Hazards Earth Syst. Sci., 23, 261–277, https://doi.org/10.5194/nhess-23-261-2023, https://doi.org/10.5194/nhess-23-261-2023, 2023
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Emergency managers use event-based flood inundation maps (FIMs) to plan and coordinate flood emergency response. We perform a case study test of three different FIM frameworks to see if FIM differences lead to substantial differences in the location and magnitude of flood exposure and consequences. We find that the FIMs are very different spatially and that the spatial differences do produce differences in the location and magnitude of exposure and consequences.
Mohamed Saadi, Carina Furusho-Percot, Alexandre Belleflamme, Ju-Yu Chen, Silke Trömel, and Stefan Kollet
Nat. Hazards Earth Syst. Sci., 23, 159–177, https://doi.org/10.5194/nhess-23-159-2023, https://doi.org/10.5194/nhess-23-159-2023, 2023
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On 14 July 2021, heavy rainfall fell over central Europe, causing considerable damage and human fatalities. We analyzed how accurate our estimates of rainfall and peak flow were for these flooding events in western Germany. We found that the rainfall estimates from radar measurements were improved by including polarimetric variables and their vertical gradients. Peak flow estimates were highly uncertain due to uncertainties in hydrological model parameters and rainfall measurements.
Arefeh Safaei-Moghadam, David Tarboton, and Barbara Minsker
Nat. Hazards Earth Syst. Sci., 23, 1–19, https://doi.org/10.5194/nhess-23-1-2023, https://doi.org/10.5194/nhess-23-1-2023, 2023
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Climate change, urbanization, and aging infrastructure contribute to flooding on roadways. This study evaluates the potential for flood reports collected from Waze – a community-based navigation app – to predict these events. Waze reports correlate primarily with low-lying depressions on roads. Therefore, we developed two data-driven models to determine whether roadways will flood. Analysis showed that in the city of Dallas, drainage area and imperviousness are the most significant contributors.
Zongjia Zhang, Jun Liang, Yujue Zhou, Zhejun Huang, Jie Jiang, Junguo Liu, and Lili Yang
Nat. Hazards Earth Syst. Sci., 22, 4139–4165, https://doi.org/10.5194/nhess-22-4139-2022, https://doi.org/10.5194/nhess-22-4139-2022, 2022
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An innovative multi-strategy-mode waterlogging-prediction framework for predicting waterlogging depth is proposed in the paper. The framework selects eight regression algorithms for comparison and tests the prediction accuracy and robustness of the model under different prediction strategies. Ultimately, the accuracy of predicting water depth after 30 min can exceed 86.1 %. This can aid decision-making in terms of issuing early warning information and determining emergency responses in advance.
Diego Fernández-Nóvoa, Orlando García-Feal, José González-Cao, Maite deCastro, and Moncho Gómez-Gesteira
Nat. Hazards Earth Syst. Sci., 22, 3957–3972, https://doi.org/10.5194/nhess-22-3957-2022, https://doi.org/10.5194/nhess-22-3957-2022, 2022
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A multiscale analysis, where the historical and future precipitation data from the CORDEX project were used as input in a hydrological model (HEC-HMS) that, in turn, feeds a 2D hydraulic model (Iber+), was applied to the case of the Miño-Sil basin (NW Spain), specifically to Ourense city, in order to analyze future changes in flood hazard. Detailed flood maps indicate an increase in the frequency and intensity of future floods, implying an increase in flood hazard in important areas of the city.
Jaime Gaona, Pere Quintana-Seguí, María José Escorihuela, Aaron Boone, and María Carmen Llasat
Nat. Hazards Earth Syst. Sci., 22, 3461–3485, https://doi.org/10.5194/nhess-22-3461-2022, https://doi.org/10.5194/nhess-22-3461-2022, 2022
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Droughts represent a particularly complex natural hazard and require explorations of their multiple causes. Part of the complexity has roots in the interaction between the continuous changes in and deviation from normal conditions of the atmosphere and the land surface. The exchange between the atmospheric and surface conditions defines feedback towards dry or wet conditions. In semi-arid environments, energy seems to exceed water in its impact over the evolution of conditions, favoring drought.
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-243, https://doi.org/10.5194/nhess-2022-243, 2022
Revised manuscript accepted for NHESS
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The present study focuses on an in depth analysis of floods in the lower section of the Tagus river from a hydrodynamic perspective by means of Iber+ numerical model and on the development of dam operating strategies to mitigate the flood episodes using the outstating floods of February 1979 as benchmark. Obtained results corroborate the model capability to evaluate floods in the study area and confirm the effectiveness of the proposed strategies to reduce flood impact in lower Tagus valley.
Melanie Fischer, Jana Brettin, Sigrid Roessner, Ariane Walz, Monique Fort, and Oliver Korup
Nat. Hazards Earth Syst. Sci., 22, 3105–3123, https://doi.org/10.5194/nhess-22-3105-2022, https://doi.org/10.5194/nhess-22-3105-2022, 2022
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Nepal’s second-largest city has been rapidly growing since the 1970s, although its valley has been affected by rare, catastrophic floods in recent and historic times. We analyse potential impacts of such floods on urban areas and infrastructure by modelling 10 physically plausible flood scenarios along Pokhara’s main river. We find that hydraulic effects would largely affect a number of squatter settlements, which have expanded rapidly towards the river by a factor of up to 20 since 2008.
Heiko Apel, Sergiy Vorogushyn, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 22, 3005–3014, https://doi.org/10.5194/nhess-22-3005-2022, https://doi.org/10.5194/nhess-22-3005-2022, 2022
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The paper presents a fast 2D hydraulic simulation model for flood propagation that enables operational forecasts of spatially distributed inundation depths, flood extent, flow velocities, and other flood impacts. The detailed spatial forecast of floods and flood impacts is a large step forward from the currently operational forecasts of discharges at selected gauges, thus enabling a more targeted flood management and early warning.
Kang He, Qing Yang, Xinyi Shen, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 22, 2921–2927, https://doi.org/10.5194/nhess-22-2921-2022, https://doi.org/10.5194/nhess-22-2921-2022, 2022
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This study depicts the flood-affected areas in western Europe in July 2021 and particularly the agriculture land that was under flood inundation. The results indicate that the total inundated area over western Europe is about 1920 km2, of which 1320 km2 is in France. Around 64 % of the inundated area is agricultural land. We expect that the agricultural productivity in western Europe will have been severely impacted.
Daniel Viviroli, Anna E. Sikorska-Senoner, Guillaume Evin, Maria Staudinger, Martina Kauzlaric, Jérémy Chardon, Anne-Catherine Favre, Benoit Hingray, Gilles Nicolet, Damien Raynaud, Jan Seibert, Rolf Weingartner, and Calvin Whealton
Nat. Hazards Earth Syst. Sci., 22, 2891–2920, https://doi.org/10.5194/nhess-22-2891-2022, https://doi.org/10.5194/nhess-22-2891-2022, 2022
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Estimating the magnitude of rare to very rare floods is a challenging task due to a lack of sufficiently long observations. The challenge is even greater in large river basins, where precipitation patterns and amounts differ considerably between individual events and floods from different parts of the basin coincide. We show that a hydrometeorological model chain can provide plausible estimates in this setting and can thus inform flood risk and safety assessments for critical infrastructure.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 22, 2791–2805, https://doi.org/10.5194/nhess-22-2791-2022, https://doi.org/10.5194/nhess-22-2791-2022, 2022
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To better understand how the frequency and intensity of heavy precipitation events (HPEs) will change with changing climate and to adapt disaster risk management accordingly, we have to quantify the extremeness of HPEs in a reliable way. We introduce the xWEI (cross-scale WEI) and show that this index can reveal important characteristics of HPEs that would otherwise remain hidden. We conclude that the xWEI could be a valuable instrument in both disaster risk management and research.
Angelica Tarpanelli, Alessandro C. Mondini, and Stefania Camici
Nat. Hazards Earth Syst. Sci., 22, 2473–2489, https://doi.org/10.5194/nhess-22-2473-2022, https://doi.org/10.5194/nhess-22-2473-2022, 2022
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We analysed 10 years of river discharge data from almost 2000 sites in Europe, and we extracted flood events, as proxies of flood inundations, based on the overpasses of Sentinel-1 and Sentinel-2 satellites to derive the percentage of potential inundation events that they were able to observe. Results show that on average 58 % of flood events are potentially observable by Sentinel-1 and only 28 % by Sentinel-2 due to the obstacle of cloud coverage.
David P. Callaghan and Michael G. Hughes
Nat. Hazards Earth Syst. Sci., 22, 2459–2472, https://doi.org/10.5194/nhess-22-2459-2022, https://doi.org/10.5194/nhess-22-2459-2022, 2022
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A new method was developed to estimate changes in flood hazard under climate change. We use climate projections covering New South Wales, Australia, with two emission paths of business as usual and one with reduced emissions. We apply our method to the lower floodplain of the Gwydir Valley with changes in flood hazard provided over the next 90 years compared with the previous 50 years. We find that changes in flood hazard decrease over time within the Gwydir Valley floodplain.
Joseph T. D. Lucey and Timu W. Gallien
Nat. Hazards Earth Syst. Sci., 22, 2145–2167, https://doi.org/10.5194/nhess-22-2145-2022, https://doi.org/10.5194/nhess-22-2145-2022, 2022
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Coastal flooding can result from multiple flood drivers (e.g., tides, waves, river flows, rainfall) occurring at the same time. This study characterizes flooding events caused by high marine water levels and rain. Results show that wet-season coinciding sampling may better describe extreme flooding events in a dry, tidally dominated region. A joint-probability-based function is then used to estimate sea wall impacts on urban coastal flooding.
Erik Tijdeman, Veit Blauhut, Michael Stoelzle, Lucas Menzel, and Kerstin Stahl
Nat. Hazards Earth Syst. Sci., 22, 2099–2116, https://doi.org/10.5194/nhess-22-2099-2022, https://doi.org/10.5194/nhess-22-2099-2022, 2022
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We identified different drought types with typical hazard and impact characteristics. The summer drought type with compounding heat was most impactful. Regional drought propagation of this drought type exhibited typical characteristics that can guide drought management. However, we also found a large spatial variability that caused distinct differences among propagating drought signals. Accordingly, local multivariate drought information was needed to explain the full range of drought impacts.
Michael Dietze, Rainer Bell, Ugur Ozturk, Kristen L. Cook, Christoff Andermann, Alexander R. Beer, Bodo Damm, Ana Lucia, Felix S. Fauer, Katrin M. Nissen, Tobias Sieg, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 22, 1845–1856, https://doi.org/10.5194/nhess-22-1845-2022, https://doi.org/10.5194/nhess-22-1845-2022, 2022
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The flood that hit Europe in July 2021, specifically the Eifel, Germany, was more than a lot of fast-flowing water. The heavy rain that fell during the 3 d before also caused the slope to fail, recruited tree trunks that clogged bridges, and routed debris across the landscape. Especially in the upper parts of the catchments the flood was able to gain momentum. Here, we discuss how different landscape elements interacted and highlight the challenges of holistic future flood anticipation.
Cited articles
Bhuiyan, C., Singh, R. P., and Kogan, F. N.: Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 8, 289–302, 2006.
Dalezios, N. R., Loukas, A., Vasiliades, L., and Liakopoulos, H.: Severity-Duration-Frequency Analysis of Droughts and Wet Periods in Greece, Hydrol. Sci. J., 45, 751–770, 2000.
Dalezios, N. R., Bampzelis, D., and Domenikiotis, C.: An integrated methodological procedure for alternative drought mitigation in Greece, European Water, 27/28, 53–73, 2009.
Dalezios, N. R.: Climatic change and Agriculture: Impacts-Mitigation-Adaptation, Scientific Journal of GEOTEE., 27, 13–28, 2011.
Dalezios, N. R., Blanta, A., and Spyropoulos, N. V.: Assessment of remotely sensed drought features in vulnerable agriculture, Nat. Hazards Earth Syst. Sci., 12, 3139–3150, https://doi.org/10.5194/nhess-12-3139-2012, 2012a.
Dalezios, N. R., Blanta, A., and Spyropoulos, N. V.: Remotely Sensed Spatiotemporal Features of Agrometeorological Drought, 11h International Conference on Meteorology, Climatology and Atmospheric Physics, sponsored by Springer and the Association, Athens, 29 May–1 June, 409–414, 2012b.
Domenikiotis, C., Spiliotopoulos, M., Tsiros, E., and Dalezios, N. R.: Application of NOAA/AVHRR VCI for drought monitoring in Thessaly, 6th International Conference of Protection and Restoration of the Environment, 1–5 July, Volos, Greece, 1663–1670, 2002.
Domenikiotis, C., Spiliotopoulos, M., Tsiros, E., and Dalezios, N. R.: Early Cotton Yield Assessment by The Use Of The NOAA/AVHRR Derived Drought Vegetation Condition Index In Greece, Int. J. Remote Sens., 25, 2807–2819, 2004.
EU: Green Paper Adapting to Climate Change in Europe – Options for EU Action.COM (2007), 354, Brussels, 27 pp., 2007.
Farrell, D., Trotman, A., and Cox, C.: Drought Early Warning and Risk Reduction: a Case Study of the Carribbean Drought of 2009–2010. Global Assessment Report: GAR 2011 on Disaster Risk Reduction, UNISDR, 22 pp., 2010.
Foot, J. S.: Hazard warning in meteorology: theimportance of remote sensing, in: Proceedings of IDNDR Conference on Natural Hazards and Remote Sensing, London, UK, 8–9 March, 13–16, 1993.
Goward, S. N., Markham, B., Dye, D. G., Dulaney, W., and Yang, J.: Normalized Difference Vegetation Index measurements from the advanced very high resolution radiometer, Remote Sens. Einviron., 35, 257–277, 1991.
Heim Jr., R. R.: A Review of Twentieth-Century Drought Indices Used in the United States, B. Am. Meteorol. Soc., 83, 1149–1165, 2002.
IPCC: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, Special Report of IPCC, 582 pp., 2012.
Kanellou, E. C., Domenikiotis, C., Tsiros, E., and Dalezios, N. R.: Satellite-based Drought Estimation in Thessaly. European Water, 23/24, 111–122, 2009a.
Kanellou, E. C., Domenikiotis, C., and Dalezios, N. R.: Description of Conventional and Satellite Drought Indices, 23–59, edited by: Tsakiris, G., PRODIM Final Report, EC, 448 pp., 2009b.
Kanellou, E. C., Spyropoulos, N. V., and Dalezios, N. R.: Geoinformatic Intelligence Methodologies for Drought Spatiotemporal Variability in Greece, Water Resour. Manag., 26, 1089–1106, 2012.
Keyantash, J. and Dracup, J. A.: The Quantification of Drought: An Evaluation of Drought Indices, B. Am. Meteorol. Soc., 83, 1167–1180, 2002.
Kogan, F. N.: Application of vegetation index and brightness temperature for drought detection, Adv. Space Res., 15, 91–100, 1995.
Kogan, F. N.: Global drought watch from space, B. Am. Meteorol. Soc., 78, 621–636, 1997.
Kogan, F. N.: Operational space technology for global vegetation assessment, B. Am. Meteorol. Soc., 82, 1949–1964, 2001.
Mishra, A. K. and Singh, V. P.: A Review of Drought Concepts, J. Hydrology, 39, 202–216, 2010.
McVicar, T. R. and Jupp, D. L. B.: The Current and Potential Operational Uses of Remote Sensing to Aid Decisions on Drought Exceptional Circumstances in Australia: a Review, Agricultural Systems, 57, 399–468, 1998.
Peng, L. Y., Wei, Y., Meng, W., and Dong, Y. X.: Climate Change and Drought: a risk assessment of crop-yield impacts, Clim. Res., 39, 31–46, 2009.
Piechota, T. C. and Dracup, J. A.: Drought and Regional Hydrology Variation in the United States: associations with the El Nino – Southern Oscillation, Water Resour. Res., 32, 1359–1373, 1996.
Salinger, J., Sivakumar, M. V. K., and Motha, R. P. (Eds.): Increasing Climate Variability and Change: Reducing the Vulnerability of Agriculture and Forestry, Springer, ISBN 1-4020-3354-0, 362 pp., 2005.
Shahid, S. and Behrawan, H.: Drought Risk Assessment in the Western part of Bangladesh, Nat. Hazards, 46, 391–413, 2008.
Sivakumar, M. V. K., Wilhite, D. A., Svoboda, M. D., Hayes, M., and Motha, R.: Drought and Meteorological Droughts, Global Assessment Report: GAR 2011 on Disaster Risk Reduction, UNISDR, 26 pp., 2010.
Sivakumar, M. V. K., Motha, R. P., and Das, H. P. (Eds.): Natural Disaster and Extreme Events in Agriculture, Springer, ISBN-10 3-540-22490-4, 367 pp., 2005.
Smith, K.: Environmental Hazards: Assessing Risk and Reducing Disaster. Routledge, 3rd Edition, ISBN0-415-22463-2, 398 pp., 2001.
Steinemann, A., Hayes, M. A., and Cavalcanti, L.: Drought Indicators and Triggers, in: Drought and Water Crises, Science Technology and Management Issues, edited by: Wilhite, D. A., Marcer Dekker Publ., 71–90, 2005.
Steven, M. D. and Jaggard, K. W.: Advances in Crop Monitoring by Remote Sensing, in: Advances in Environmental Remote Sensing, edited by: Danson F. M. and Plummer S. E., Wiley, 143–156, 1995.
Tarquis A. M., Gobin, A., Dalezios, N. R., and Ulbrich, U. (Eds): Weather Related Hazards and Risks in Agriculture, Special Issue, Nat. Hazards Earth Syst. Sci., in press, 2013.
Thenkabail, P. S., Gamage, M. S. D. N., and Smakhtin, V. U.: The Use of Remote Sensing Data for Drought Assessment and Monitoring in Southwest Asia. Research Report, International Water Management Institute, No. 85, 125, 2004.
Tsiros, E., Domenikiotis, C., Spiliotopoulos, M., and Dalezios, N. R.: The use of NOAA/AVHRR-based vegetation condition index (VCI) and temperature condition index (TCI) for drought monitoring in Thessaly, Greece, EWRA Symposium on water resources management: risks and challenges for the 21st century, Izmir, Turkey, 2–4 September 2004, 769–782, 2004.
Tsiros E., Domenikiotis, C., and Dalezios, N. R.: Sustainable production zoning for agroclimatic classification using GIS and remote sensing, ID\HOJÁRÁS, 113, 55–68, 2009.
Tucker, C. J. and Choudhury, B. J.: Satellite remote sensing of drought conditionsm, Remote Sens. Environ., 23, 243–251, 1987.
UN/ISDR: Hyogo Framework for Action 2005–2015, World Conf. on Disaster Reduction, Final Report, 18–20 Jan. 2005, Kobe, Hyogo, Japan, 22 pp. (www.unisdr.org), Abstract number A/Conf.206/6, 2005.
Van Dijk, A., Callis, S. L., and Sakamoto, C. M.: Smoothing vegetation index profiles: An alternative method for reducing radiometric disturbance in NOAA/AVHRR data, Journal of Photogrammetric Engineering & Remote Sensing, 63, 1059–1067, 1987.
Wang J., Rich, P. M., and Price K. P.: Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA, Int. J. Remote Sens., 24, 2345–2364, 2003.
Wilhite, D. A., Hayes, M. J., Kinutson, C., and Smith, K. H.: Planning for drought: moving from crisis to risk management, J. Amer. Water Res. Assoc., 36, 697–710, 2000.
Wu, H. and Wilhite, D. A.: An Operational Agricultural Drought Risk Assessment Model for Nebraska, USA, Nat. Hazards, 33, 1–21, 2004.
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