Search

Your search keyword '"Kalantari, Z."' showing total 145 results
Start Over Author "Kalantari, Z."
145 results on '"Kalantari, Z."'

1. Publisher Correction: Hydro-climatic changes of wetlandscapes across the world

Author

Åhlén, I., Vigouroux, G., Destouni, G., Pietroń, J., Ghajarnia, N., Anaya, J., Blanco, J., Borja, S., Chalov, S., Chun, K. P., Clerici, N., Desormeaux, A., Girard, P., Gorelits, O., Hansen, A., Jaramillo, F., Kalantari, Z., Labbaci, A., Licero-Villanueva, L., Livsey, J., Maneas, G., Pisarello, K. L. McCurley, Pahani, D. Moshir, Palomino-Ángel, S., Price, R., Ricaurte-Villota, C., Fernanda Ricaurte, L., Rivera-Monroy, V. H., Rodriguez, A., Rodriguez, E., Salgado, J., Sannel, B., Seifollahi-Aghmiuni, S., Simard, M., Sjöberg, Y., Terskii, P., Thorslund, J., Zamora, D. A., and Jarsjö, J.

Published
2021
Full Text
View/download PDF

2. Hydro-climatic changes of wetlandscapes across the world

Author

Åhlén, I., Vigouroux, G., Destouni, G., Pietroń, J., Ghajarnia, N., Anaya, J., Blanco, J., Borja, S., Chalov, S., Chun, K. P., Clerici, N., Desormeaux, A., Girard, P., Gorelits, O., Hansen, A., Jaramillo, F., Kalantari, Z., Labbaci, A., Licero-Villanueva, L., Livsey, J., Maneas, G., Pisarello, K. L. McCurley, Pahani, D. Moshir, Palomino-Ángel, S., Price, R., Ricaurte-Villota, C., Fernanda Ricaurte, L., Rivera-Monroy, V. H., Rodriguez, A., Rodriguez, E., Salgado, J., Sannel, B., Seifollahi-Aghmiuni, S., Simard, M., Sjöberg, Y., Terskii, P., Thorslund, J., Zamora, D. A., and Jarsjö, J.

Published
2021
Full Text
View/download PDF

3. Infectious Disease Sensitivity to Climate and Other Driver‐Pressure Changes: Research Effort and Gaps for Lyme Disease and Cryptosporidiosis.

Author

Ma, Y., Kalantari, Z., and Destouni, G.

Subjects
MEDICAL climatology, EVIDENCE gaps, COMMUNICABLE diseases, CLIMATE sensitivity, CRYPTOSPORIDIOSIS, LYME disease, KNOWLEDGE gap theory
Abstract

Climate sensitivity of infectious diseases is discussed in many studies. A quantitative basis for distinguishing and predicting the disease impacts of climate and other environmental and anthropogenic driver‐pressure changes, however, is often lacking. To assess research effort and identify possible key gaps that can guide further research, we here apply a scoping review approach to two widespread infectious diseases: Lyme disease (LD) as a vector‐borne and cryptosporidiosis as a water‐borne disease. Based on the emerging publication data, we further structure and quantitatively assess the driver‐pressure foci and interlinkages considered in the published research so far. This shows important research gaps for the roles of rarely investigated water‐related and socioeconomic factors for LD, and land‐related factors for cryptosporidiosis. For both diseases, the interactions of host and parasite communities with climate and other driver‐pressure factors are understudied, as are also important world regions relative to the disease geographies; in particular, Asia and Africa emerge as main geographic gaps for LD and cryptosporidiosis research, respectively. The scoping approach developed and gaps identified in this study should be useful for further assessment and guidance of research on infectious disease sensitivity to climate and other environmental and anthropogenic changes around the world. Plain Language Summary: This study looks at how the effects of changes in climate and other environmental and anthropogenic factors are addressed in research on two widespread infectious diseases: Lyme disease (LD) (tick‐borne) and cryptosporidiosis (water‐borne). By a scoping review of existing research publications, the study identifies key gaps that need to be bridged in future research. For LD, more research is needed on water‐related and socioeconomic factors and their climate linkages, while for cryptosporidiosis, land‐related factors and their linkages with climate need further exploration. For both diseases, the interactions between host and parasite communities and their changes along with those in climate and other environmental factors emerge as insufficiently studied. Geographically, research is lacking for LD in Asia and cryptosporidiosis in Africa. By identifying and highlighting these research gaps, this study aims to guide future research on how changes in climate and other factors, and their interlinkages affect these infectious diseases around the world. Key Points: Studies on Lyme disease (LD) and cryptosporidiosis relationships with climate lack coupling with other environmental and anthropogenic factorsDriver‐pressure interactions with host and parasite communities are generally understudiedAsia and Africa are main geographic research gaps for LD and cryptosporidiosis research, respectively [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

4. Win–Win for Everyone? Reflecting on Nature-Based Solutions for Flood Risk Management from an Environmental Justice Perspective

Author

Ferreira, C.S.S., Kalantari, Z., Hartmann, T., Pereira, P., Kaufmann, M., Priest, S., Hudson, P., Löschner, L., Raška, P., Schindelegger, A., Slavíková, L., Stričević, R., Vleesenbeek, T., Ferreira, C.S.S., Kalantari, Z., Hartmann, T., Pereira, P., Kaufmann, M., Priest, S., Hudson, P., Löschner, L., Raška, P., Schindelegger, A., Slavíková, L., Stričević, R., and Vleesenbeek, T.

Abstract

Item does not contain fulltext

Published
2022

5. Evaluating the evolution of ECMWF precipitation products using observational data for Iran:from ERA40 to ERA5

Author

Ghajarnia, N. (Navid), Akbari, M. (Mahdi), Saemian, P. (Peyman), Ehsani, M. R. (Mohammad Reza), Hosseini-Moghari, S.-M. (Seyed-Mohammad), Azizian, A. (Asghar), Kalantari, Z. (Zahra), Behrangi, A. (Ali), Tourian, M. J. (Mohammad J.), Klöve, B. (Björn), Torabi Haghighi, A. (Ali), Ghajarnia, N. (Navid), Akbari, M. (Mahdi), Saemian, P. (Peyman), Ehsani, M. R. (Mohammad Reza), Hosseini-Moghari, S.-M. (Seyed-Mohammad), Azizian, A. (Asghar), Kalantari, Z. (Zahra), Behrangi, A. (Ali), Tourian, M. J. (Mohammad J.), Klöve, B. (Björn), and Torabi Haghighi, A. (Ali)

Abstract

European Center for Medium-Range Weather Forecasts Reanalysis (ERA), one of the most widely used precipitation products, has evolved from ERA-40 to ERA-20CM, ERA-20C, ERA-Interim, and ERA5. Studies evaluating the performance of individual ERA products cannot adequately assess the evolution of the products. We compared the performance of all ERA precipitation products at daily, monthly, and annual data (1980–2018) using more than 2100 Iran precipitation gauges. Results indicated that ERA-40 performed worst, followed by ERA-20CM, which showed only minor improvements over ERA-40. ERA-20C considerably outperformed its predecessors, benefiting from the assimilation of observational data. Although several previous studies have reported full superiority of ERA5 over ERA-Interim, our results revealed several shortcomings in ERA5 compared with the ERA-Interim estimates. Both ERA-Interim and ERA5 performed best overall, with ERA-Interim showing better statistical and categorical skill scores, and ERA5 performing better in estimating extreme precipitations. These results suggest that the accuracy of ERA precipitation products has improved from ERA-40 to ERA-Interim, but not consistently from ERA-Interim to ERA5. This study employed a grid-grid comparison approach by first creating a gridded reference data set through the spatial aggregation of point source observations, however, the results from a point-grid approach showed no change in the overall ranking of products (despite the slight changes in the error index values). These findings are useful for model development at a global scale and for hydrological applications in Iran.

Published
2022

6. Identifying barriers for nature-based solutions in flood risk management: An interdisciplinary overview using expert community approach

Author

Raška, P., Bezak, N., Ferreira, C.S.S., Kalantari, Z., Banasik, K., Bertola, M., Bourke, M., Cerdà, A., Davids, P., de Brito, Mariana Madruga, Evans, R., Finger, D.C., Halbac-Cotoara-Zamfir, R., Housh, M., Hysa, A., Jakubínský, J., Kapović Solomun, M., Kaufmann, M., Keesstra, S., Keles, E., Kohnová, S., Pezzagno, M., Potočki, K., Rufat, S., Seifollahi-Aghmiuni, S., Schindelegger, A., Šraj, M., Stankunavicius, G., Stolte, J., Stričević, R., Szolgay, J., Zupanc, V., Slavíková, L., Hartmann, T., Raška, P., Bezak, N., Ferreira, C.S.S., Kalantari, Z., Banasik, K., Bertola, M., Bourke, M., Cerdà, A., Davids, P., de Brito, Mariana Madruga, Evans, R., Finger, D.C., Halbac-Cotoara-Zamfir, R., Housh, M., Hysa, A., Jakubínský, J., Kapović Solomun, M., Kaufmann, M., Keesstra, S., Keles, E., Kohnová, S., Pezzagno, M., Potočki, K., Rufat, S., Seifollahi-Aghmiuni, S., Schindelegger, A., Šraj, M., Stankunavicius, G., Stolte, J., Stričević, R., Szolgay, J., Zupanc, V., Slavíková, L., and Hartmann, T.

Abstract

The major event that hit Europe in summer 2021 reminds society that floods are recurrent and among the costliest and deadliest natural hazards. The long-term flood risk management (FRM) efforts preferring sole technical measures to prevent and mitigate floods have shown to be not sufficiently effective and sensitive to the environment. Nature-Based Solutions (NBS) mark a recent paradigm shift of FRM towards solutions that use nature-derived features, processes and management options to improve water retention and mitigate floods. Yet, the empirical evidence on the effects of NBS across various settings remains fragmented and their implementation faces a series of institutional barriers. In this paper, we adopt a community expert perspective drawing upon LAND4FLOOD Natural flood retention on private land network (https://www.land4flood.eu) in order to identify a set of barriers and their cascading and compound interactions relevant to individual NBS. The experts identified a comprehensive set of 17 barriers affecting the implementation of 12 groups of NBS in both urban and rural settings in five European regional environmental domains (i.e., Boreal, Atlantic, Continental, Alpine-Carpathian, and Mediterranean). Based on the results, we define avenues for further research, connecting hydrology and soil science, on the one hand, and land use planning, social geography and economics, on the other. Our suggestions ultimately call for a transdisciplinary turn in the research of NBS in FRM.

Published
2022

7. Ambio fit for the 2020s

Author

Andersson, E., Boonstra, W. J., de la Torre Castro, M., Hughes, A. C., Ilstedt, U., Jernelöv, A., Jonsson, Bengt-Gunnar, Kalantari, Z., Keskitalo, C., Kritzberg, E., Kätterer, T., McNeely, J. A., Mohr, C., Mustonen, T., Ostwald, M., Reyes-Garcia, V., Rusch, G. M., Sanderson Bellamy, A., Stage, J., Tedengren, M., Thomas, D. N., Wulff, A., Söderström, B., Andersson, E., Boonstra, W. J., de la Torre Castro, M., Hughes, A. C., Ilstedt, U., Jernelöv, A., Jonsson, Bengt-Gunnar, Kalantari, Z., Keskitalo, C., Kritzberg, E., Kätterer, T., McNeely, J. A., Mohr, C., Mustonen, T., Ostwald, M., Reyes-Garcia, V., Rusch, G. M., Sanderson Bellamy, A., Stage, J., Tedengren, M., Thomas, D. N., Wulff, A., and Söderström, B.

Published
2022
Full Text
View/download PDF

9. Healthy ecosystems for human and animal health: Science diplomacy for responsible development in the Arctic

Author

Evengård, B., Destouni, G., Kalantari, Z., Albihn, A., Björkman, C., Bylund, H., Jenkins, E., Koch, A., Kukarenko, N., Leibovici, D., Lemmityinen, J., Menshakova, M., Mulvad, G., Nilsson, L.M., Omazic, A., Pshenichnaya, N., Quegan, S., Rautio, A., Revich, B., Rydén, P., Sjöstedt, A., Tokarevich, N., Thierfelder, T., and Orlov, D.

Subjects
Climate Research, Klimatforskning
Abstract

Climate warming is occurring most rapidly in the Arctic, which is both a sentinel and a driver of further global change. Ecosystems and human societies are already affected by warming. Permafrost thaws and species are on the move, bringing pathogens and vectors to virgin areas. During a five-year project, the CLINF - a Nordic Center of Excellence, funded by the Nordic Council of Ministers, has worked with the One Health concept, integrating environmental data with human and animal disease data in predictive models and creating maps of dynamic processes affecting the spread of infectious diseases. It is shown that tularemia outbreaks can be predicted even at a regional level with a manageable level of uncertainty. To decrease uncertainty, rapid development of new and harmonised technologies and databases is needed from currently highly heterogeneous data sources. A major source of uncertainty for the future of contaminants and infectious diseases in the Arctic, however, is associated with which paths the majority of the globe chooses to follow in the future. Diplomacy is one of the most powerful tools Arctic nations have to influence these choices of other nations, supported by Arctic science and One Health approaches that recognise the interconnection between people, animals, plants and their shared environment at the local, regional, national and global levels as essential for achieving a sustainable development for both the Arctic and the globe.

Published
2021

10. Assessment of the Correlation of rs7920721 in the ECHDC3 Gene with Alzheimer's Disease in the Iranian Population.

Author

Kalantari, Z., Siasi, E., and Amini, K.

Subjects
ALZHEIMER'S disease treatment, ALZHEIMER'S disease diagnosis, GENOTYPES, BLOOD sampling, NUCLEIC acid isolation methods
Abstract

Alzheimer's disease is the most common cause of dementia in the elderly. One of the polymorphisms in Alzheimer's disease is rs7920721 in the ECHDC3 gene, which has not been studied in the population of Iranian Alzheimer's patients and was evaluated in the present study. In 2021, 100 patients with Alzheimer's disease and 100 healthy controls performed the current case-control analysis. Following blood sampling and DNA extraction, rs7920721 polymorphism was examined using Tetra ARMS PCR. The frequency of AA, AG and GG genotypes in rs7920721 in the control group was 89, 10, and 1%, respectively; in people with Alzheimer's disease, they were 73, 23, and 4%, respectively (P = 0.014). The frequency of A and G alleles in the control group was 94% and 6%, respectively, and in people with Alzheimer's disease, they were 84.5% and 15.5%, respectively (P = 0.046). The value (OR = 2.874) (CI 95% = 1.43-5.77) indicated an increased probability of disease in the presence of polymorphism. Both the case and control populations were also in the Hardy-Weinberg equilibrium. The results of the present study showed that the presence of the G allele in rs7920721 of the ECHDC3 gene could be associated with an increased risk of Alzheimer's disease in the Iranian population. As a result, this polymorphism can be introduced as a potential biomarker for Alzheimer's disease. [ABSTRACT FROM AUTHOR]

Published
2023

12. Healthy ecosystems for human and animal health : Science diplomacy for responsible development in the Arctic

Author

Evengård, Birgitta, Destouni, G., Kalantari, Z., Albihn, A., Björkman, C., Bylund, H., Jenkins, E., Koch, A., Kukarenko, N., Leibovici, D., Lemmityinen, J., Menshakova, M., Mulvad, G., Nilsson, Lena Maria, Omazic, A., Pshenichnaya, N., Quegan, S., Rautio, A., Revich, B., Rydén, Patrik, Sjöstedt, Anders, Tokarevich, N., Thierfelder, T., Orlov, D., Evengård, Birgitta, Destouni, G., Kalantari, Z., Albihn, A., Björkman, C., Bylund, H., Jenkins, E., Koch, A., Kukarenko, N., Leibovici, D., Lemmityinen, J., Menshakova, M., Mulvad, G., Nilsson, Lena Maria, Omazic, A., Pshenichnaya, N., Quegan, S., Rautio, A., Revich, B., Rydén, Patrik, Sjöstedt, Anders, Tokarevich, N., Thierfelder, T., and Orlov, D.

Abstract

Climate warming is occurring most rapidly in the Arctic, which is both a sentinel and a driver of further global change. Ecosystems and human societies are already affected by warming. Permafrost thaws and species are on the move, bringing pathogens and vectors to virgin areas. During a five-year project, the CLINF - a Nordic Center of Excellence, funded by the Nordic Council of Ministers, has worked with the One Health concept, integrating environmental data with human and animal disease data in predictive models and creating maps of dynamic processes affecting the spread of infectious diseases. It is shown that tularemia outbreaks can be predicted even at a regional level with a manageable level of uncertainty. To decrease uncertainty, rapid development of new and harmonised technologies and databases is needed from currently highly heterogeneous data sources. A major source of uncertainty for the future of contaminants and infectious diseases in the Arctic, however, is associated with which paths the majority of the globe chooses to follow in the future. Diplomacy is one of the most powerful tools Arctic nations have to influence these choices of other nations, supported by Arctic science and One Health approaches that recognise the interconnection between people, animals, plants and their shared environment at the local, regional, national and global levels as essential for achieving a sustainable development for both the Arctic and the globe.

Published
2021
Full Text
View/download PDF

13. On the relationship between the variability of catchment hydroclimate and physiography, and the uncertainty of runoff generation hypotheses

Author

Khatami, S, Fowler, K, Peel, M, Peterson, TP, Western, A, Kalantari, Z, Khatami, S, Fowler, K, Peel, M, Peterson, TP, Western, A, and Kalantari, Z

Abstract

Question #20 of the UPH aspires to disentangle and reduce model prediction uncertainty. One feasible approach is to first formulate the relationship between variability (of real-world hydrological processes and catchment characteristics) and uncertainty (of model components and variables), which links the UPH theme of “modelling methods” to “time variability and change” and “space variability and scaling”. Building on this premise, we explored the relationship between runoff generation hypotheses, derived from a large ensemble of catchment model simulations, and catchment characteristics (physiographic, climatic, and streamflow response characteristics) across a large sample of 221 Australian catchments. Using ensembles of 106 runs of SIMHYD model for each catchment, runoff generation hypotheses were formulated based on the interaction of 3 runoff generating fluxes of SIMHYD, namely intensity-based, wetness-based, and slow responses. The hypotheses were derived from model runs with acceptable performance and sufficient parameter sampling. For model performance acceptability, we benchmarked Kling-Gupta Efficiency (KGE) skill score against the calendar day average observed flow, a catchment-specific and more informative benchmark than the conventional observed flow mean. The relative parameter sampling sufficiency was also defined based on the comparative efficacy of two common model parameterisation routines of Latin Hypercube Sampling and Shuffled Complex Evolution for each catchment. Across 186 catchments with acceptable catchment models, we examined the association of uncertain runoff generation hypotheses (i.e. ensemble of modeled runoff fluxes) with 22 catchment attributes. We used the Flux Mapping method (https://doi.org/10.1029/2018WR023750) to characterise the uncertainty of runoff generation hypotheses, and

Published
2021

14. Healthy ecosystems for human and animal health:science diplomacy for responsible development in the Arctic

Author

Evengård, B. (B.), Destouni, G. (G.), Kalantari, Z. (Z.), Albihn, A. (A.), Björkman, C. (C.), Bylund, H. (H.), Jenkins, E. (E.), Koch, A. (A.), Kukarenko, N. (N.), Leibovici, D. (D.), Lemmityinen, J. (J.), Menshakova, M. (M.), Mulvad, G. (G.), Nilsson, L. M. (L. M.), Omazic, A. (A.), Pshenichnaya, N. (N.), Quegan, S. (S.), Rautio, A. (A.), Revich, B. (B.), Rydén, P. (P.), Sjöstedt, A. (A.), Tokarevich, N. (N.), Thierfelder, T. (T.), Orlov, D. (D.), Evengård, B. (B.), Destouni, G. (G.), Kalantari, Z. (Z.), Albihn, A. (A.), Björkman, C. (C.), Bylund, H. (H.), Jenkins, E. (E.), Koch, A. (A.), Kukarenko, N. (N.), Leibovici, D. (D.), Lemmityinen, J. (J.), Menshakova, M. (M.), Mulvad, G. (G.), Nilsson, L. M. (L. M.), Omazic, A. (A.), Pshenichnaya, N. (N.), Quegan, S. (S.), Rautio, A. (A.), Revich, B. (B.), Rydén, P. (P.), Sjöstedt, A. (A.), Tokarevich, N. (N.), Thierfelder, T. (T.), and Orlov, D. (D.)

Abstract

Climate warming is occurring most rapidly in the Arctic, which is both a sentinel and a driver of further global change. Ecosystems and human societies are already affected by warming. Permafrost thaws and species are on the move, bringing pathogens and vectors to virgin areas. During a five-year project, the CLINF — a Nordic Center of Excellence, funded by the Nordic Council of Ministers, has worked with the One Health concept, integrating environmental data with human and animal disease data in predictive models and creating maps of dynamic processes affecting the spread of infectious diseases. It is shown that tularemia outbreaks can be predicted even at a regional level with a manageable level of uncertainty. To decrease uncertainty, rapid development of new and harmonised technologies and databases is needed from currently highly heterogeneous data sources. A major source of uncertainty for the future of contaminants and infectious diseases in the Arctic, however, is associated with which paths the majority of the globe chooses to follow in the future. Diplomacy is one of the most powerful tools Arctic nations have to influence these choices of other nations, supported by Arctic science and One Health approaches that recognise the interconnection between people, animals, plants and their shared environment at the local, regional, national and global levels as essential for achieving a sustainable development for both the Arctic and the globe.

Published
2021

15. Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood

Author

Darabi, H. (Hamid), Rahmati, O. (Omid), Naghibi, S. A. (Seyed Amir), Mohammadi, F. (Farnoush), Ahmadisharaf, E. (Ebrahim), Kalantari, Z. (Zahra), Torabi Haghighi, A. (Ali), Soleimanpour, S. M. (Seyed Masoud), Tiefenbacher, J. P. (John P.), Tien Bui, D. (Dieu), Darabi, H. (Hamid), Rahmati, O. (Omid), Naghibi, S. A. (Seyed Amir), Mohammadi, F. (Farnoush), Ahmadisharaf, E. (Ebrahim), Kalantari, Z. (Zahra), Torabi Haghighi, A. (Ali), Soleimanpour, S. M. (Seyed Masoud), Tiefenbacher, J. P. (John P.), and Tien Bui, D. (Dieu)

Abstract

In this study, a new hybridized machine learning algorithm for urban flood susceptibility mapping, named MultiB-MLPNN, was developed using a multi-boosting technique and MLPNN. The model was tested in Amol City, Iran, a data-scarce city in an ungauged area which is prone to severe flood inundation events and currently lacks flood prevention infrastructure. Performance of the hybridized model was compared with that of a standalone MLPNN model, random forest and boosted regression trees. Area under the curve, efficiency, true skill statistic, Matthews correlation coefficient, misclassification rate, sensitivity and specificity were used to evaluate model performance. In validation, the MultiB-MLPNN model showed the best predictive performance. The hybridized MultiB-MLPNN model is thus useful for generating realistic flood susceptibility maps for data-scarce urban areas. The maps can be used to develop risk-reduction measures to protect urban areas from devastating floods, particularly where available data are insufficient to support physically based hydrological or hydraulic models.

Published
2021

16. Current Wildland Fire Patterns and Challenges in Europe: A Synthesis of National Perspectives

Author

Fernandez-Anez, N., Krasovskiy, A., Müller, M., Vacik, H., Baetens, J., Hukić, E., Kapovic Solomun, M., Atanassova, I., Glushkova, M., Bogunović, I., Fajković, H., Djuma, H., Boustras, G., Adámek, M., Devetter, M., Hrabalikova, M., Huska, D., Martínez Barroso, P., Vaverková, M.D., Zumr, D., Jõgiste, K., Metslaid, M., Koster, K., Köster, E., Pumpanen, J., Ribeiro-Kumara, C., Di Prima, S., Pastor, A., Rumpel, C., Seeger, M., Daliakopoulos, I., Daskalakou, E., Koutroulis, A., Papadopoulou, M.P., Stampoulidis, K., Xanthopoulos, G., Aszalós, R., Balázs, D., Kertész, M., Valkó, O., Finger, D.C., Thorsteinsson, T., Till, J., Bajocco, S., Gelsomino, A., Amodio, A.M., Novara, A., Salvati, L., Telesca, L., Ursino, N., Jansons, A., Kitenberga, M., Stivrins, N., Brazaitis, G., Marozas, V., Cojocaru, O., Gumeniuc, I., Sfecla, V., Imeson, A., Veraverbeke, S., Mikalsen, R.F., Koda, Eu., Osinski, P., Castro, A.C. M., Nunes, J.P., Oom, D., Vieira, D., Rusu, T., Bojović, S., Djordjevic, D., Popovic, Z., Protic, M., Sakan, S., Glasa, J., Kacikova, D., Lichner, L., Majlingova, A., Vido, J., Ferk, M., Tičar, J., Zorn, M., Zupanc, V., Hinojosa, M., Knicker, H., Lucas-Borja, M.E., Pausas, J., Prat-Guitart, N., Ubeda, X., Vilar, L., Destouni, G., Ghajarnia, N., Kalantari, Z., Seifollahi-Aghmiuni, S., Dindaroglu, T., Yakupoglu, T., Smith, T., Doerr, S., Cerda, A., Fernandez-Anez, N., Krasovskiy, A., Müller, M., Vacik, H., Baetens, J., Hukić, E., Kapovic Solomun, M., Atanassova, I., Glushkova, M., Bogunović, I., Fajković, H., Djuma, H., Boustras, G., Adámek, M., Devetter, M., Hrabalikova, M., Huska, D., Martínez Barroso, P., Vaverková, M.D., Zumr, D., Jõgiste, K., Metslaid, M., Koster, K., Köster, E., Pumpanen, J., Ribeiro-Kumara, C., Di Prima, S., Pastor, A., Rumpel, C., Seeger, M., Daliakopoulos, I., Daskalakou, E., Koutroulis, A., Papadopoulou, M.P., Stampoulidis, K., Xanthopoulos, G., Aszalós, R., Balázs, D., Kertész, M., Valkó, O., Finger, D.C., Thorsteinsson, T., Till, J., Bajocco, S., Gelsomino, A., Amodio, A.M., Novara, A., Salvati, L., Telesca, L., Ursino, N., Jansons, A., Kitenberga, M., Stivrins, N., Brazaitis, G., Marozas, V., Cojocaru, O., Gumeniuc, I., Sfecla, V., Imeson, A., Veraverbeke, S., Mikalsen, R.F., Koda, Eu., Osinski, P., Castro, A.C. M., Nunes, J.P., Oom, D., Vieira, D., Rusu, T., Bojović, S., Djordjevic, D., Popovic, Z., Protic, M., Sakan, S., Glasa, J., Kacikova, D., Lichner, L., Majlingova, A., Vido, J., Ferk, M., Tičar, J., Zorn, M., Zupanc, V., Hinojosa, M., Knicker, H., Lucas-Borja, M.E., Pausas, J., Prat-Guitart, N., Ubeda, X., Vilar, L., Destouni, G., Ghajarnia, N., Kalantari, Z., Seifollahi-Aghmiuni, S., Dindaroglu, T., Yakupoglu, T., Smith, T., Doerr, S., and Cerda, A.

Abstract

Changes in climate, land use, and land management impact the occurrence and severity of wildland fires in many parts of the world. This is particularly evident in Europe, where ongoing changes in land use have strongly modified fire patterns over the last decades. Although satellite data by the European Forest Fire Information System provide large-scale wildland fire statistics across European countries, there is still a crucial need to collect and summarize in-depth local analysis and understanding of the wildland fire condition and associated challenges across Europe. This article aims to provide a general overview of the current wildland fire patterns and challenges as perceived by national representatives, supplemented by national fire statistics (2009–2018) across Europe. For each of the 31 countries included, we present a perspective authored by scientists or practitioners from each respective country, representing a wide range of disciplines and cultural backgrounds. The authors were selected from members of the COST Action “Fire and the Earth System: Science & Society” funded by the European Commission with the aim to share knowledge and improve communication about wildland fire. Where relevant, a brief overview of key studies, particular wildland fire challenges a country is facing, and an overview of notable recent fire events are also presented. Key perceived challenges included (1) the lack of consistent and detailed records for wildland fire events, within and across countries, (2) an increase in wildland fires that pose a risk to properties and human life due to high population densities and sprawl into forested regions, and (3) the view that, irrespective of changes in management, climate change is likely to increase the frequency and impact of wildland fires in the coming decades. Addressing challenge (1) will not only be valuable in advancing national and pan-European wildland fire management strategies, but also in evaluating perceptions (2) and (3

Published
2021

17. TET:an automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency

Author

Rahmati, O. (Omid), Ghasemieh, H. (Hoda), Samadi, M. (Mahmood), Kalantari, Z. (Zahra), Tiefenbacher, J. P. (John P.), Nalivan, O. A. (Omid Asadi), Cerdà, A. (Artemi), Ghiasi, S. S. (Seid Saeid), Darabi, H. (Hamid), Torabi Haghighi, A. (Ali), and Tien Bui, D. (Dieu)

Subjects
Trap efficiency, Water quality, Sediment, Python language, GIS, Watershed management
Abstract

Sediment control is important for supplying clean water. Although check dams control sediment yield, site selection for check dams based on the sediment trapping efficiency (TE) is often complex and time-consuming. Currently, a multi-step trial-and-error process is used to find the optimal sediment TE for check dam construction, which limits this approach in practice. To cope with this challenge, we developed a user-friendly, cost- and time-efficient geographic information system (GIS)-based tool, the trap efficiency tool (TET), in the Python programming language. We applied the tool to two watersheds, the Hableh-Rud and the Poldokhtar, in Iran. To identify suitable sites for check dams, four scenarios (S1: TE ≥ 60%, S2: TE ≥ 70%, S3: TE ≥ 80%, S4: TE ≥ 90%) were tested. TET identified 189, 117, 96, and 77 suitable sites for building check dams in S1, S2, S3, and S4, respectively, in the Hableh-Rud watershed, and 346, 204, 156, and 60 sites in S1, S2, S3, and S4, respectively, in the Poldokhtar watershed. Evaluation of 136 existing check dams in the Hableh-Rud watershed indicated that only 10% and 5% were well-located and these were in the TE classes of 80–90% and ≥90%, respectively. In the Poldokhtar watershed, only 11% and 8% of the 207 existing check dams fell into TE classes 80–90% and ≥90%, respectively. Thus, the conventional approach for locating suitable sites at which check dams should be constructed is not effective at reaching suitable sediment control efficiency. Importantly, TET provides valuable insights for site selection of check dams and can help decision makers avoid monetary losses incurred by inefficient check-dam performance.

Published
2020

25. Data for wetlandscapes and their changes around the world

Author

Ghajarnia, N., Destouni, G., Thorslund, J., Kalantari, Z., Ahlén, I., Anaya-Acevedo, J. A., Blanco-Libreros, J. F., Borja, S., Chalov, S., Chalova, A., Chun, K. P., Clerici, N., Desormeaux, A., Garfield, B. B., Girard, P., Gorelits, O., Hansen, A., Jaramillo, F., Jarsjö, J., Labbaci, A., Livsey, J., Maneas, G., Pisarello, K. M., Palomino-Ángel, S., Pietroń, J., Price, R. M., Rivera-Monroy, V. H., Salgado, J., Britta K. Sannel, A., Seifollahi-Aghmiuni, S., Sjöberg, Y., Terskii, P., Vigouroux, G., Licero-Villanueva, L., Zamora, D., Ghajarnia, N., Destouni, G., Thorslund, J., Kalantari, Z., Ahlén, I., Anaya-Acevedo, J. A., Blanco-Libreros, J. F., Borja, S., Chalov, S., Chalova, A., Chun, K. P., Clerici, N., Desormeaux, A., Garfield, B. B., Girard, P., Gorelits, O., Hansen, A., Jaramillo, F., Jarsjö, J., Labbaci, A., Livsey, J., Maneas, G., Pisarello, K. M., Palomino-Ángel, S., Pietroń, J., Price, R. M., Rivera-Monroy, V. H., Salgado, J., Britta K. Sannel, A., Seifollahi-Aghmiuni, S., Sjöberg, Y., Terskii, P., Vigouroux, G., Licero-Villanueva, L., and Zamora, D.

Abstract

QC 20210112

Published
2020
Full Text
View/download PDF

27. Correction : Priorities and interactions of sustainable development goals (SDGs) with focus on wetlands. Water 2019, 11, 619 doi: 10.3390/w11030619

Author

Jaramillo, F., Desormeaux, A., Hedlund, J., Jawitz, J. W., Clerici, N., Piemontese, L., Rodríguez-Rodriguez, J. A., Anaya, J. A., Blanco-Libreros, J. F., Borja, S., Celi, J., Chalov, S., Chun, K. P., Cresso, M., Destouni, G., Dessu, S. B., Di Baldassarre, G., Downing, A., Espinosa, L., Ghajarnia, N., Girard, P., Gutiérrez, A. G., Hansen, A., Hu, T., Jarsjö, J., Kalantari, Z., Labbaci, A., Licero-Villanueva, L., Livsey, J., Machotka, E., McCurley, K., Palomino-Ángel, S., Pietron, J., Price, R., Ramchunder, S. J., Ricaurte-Villota, C., Ricaurte, L. F., Dahir, L., Rodríguez, E., Salgado, J., Sannel, A. B. K., Santos, A. C., Seifollahi-Aghmiuni, S., Sjöberg, Y., Sun, L., Thorslund, J., Vigouroux, G., Wang-Erlandsson, L., Xu, D., Zamora, D., Ziegler, A. D., Åhlén, I., Jaramillo, F., Desormeaux, A., Hedlund, J., Jawitz, J. W., Clerici, N., Piemontese, L., Rodríguez-Rodriguez, J. A., Anaya, J. A., Blanco-Libreros, J. F., Borja, S., Celi, J., Chalov, S., Chun, K. P., Cresso, M., Destouni, G., Dessu, S. B., Di Baldassarre, G., Downing, A., Espinosa, L., Ghajarnia, N., Girard, P., Gutiérrez, A. G., Hansen, A., Hu, T., Jarsjö, J., Kalantari, Z., Labbaci, A., Licero-Villanueva, L., Livsey, J., Machotka, E., McCurley, K., Palomino-Ángel, S., Pietron, J., Price, R., Ramchunder, S. J., Ricaurte-Villota, C., Ricaurte, L. F., Dahir, L., Rodríguez, E., Salgado, J., Sannel, A. B. K., Santos, A. C., Seifollahi-Aghmiuni, S., Sjöberg, Y., Sun, L., Thorslund, J., Vigouroux, G., Wang-Erlandsson, L., Xu, D., Zamora, D., Ziegler, A. D., and Åhlén, I.

Abstract

QC 20210112

Published
2020
Full Text
View/download PDF

32. TET : An automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency

Author

Rahmati, O., Ghasemieh, H., Samadi, M., Kalantari, Z., Tiefenbacher, J. P., Nalivan, O. A., Cerdà, A., Ghiasi, S. S., Darabi, H., Haghighi, A. T., Tien Bui, D., Rahmati, O., Ghasemieh, H., Samadi, M., Kalantari, Z., Tiefenbacher, J. P., Nalivan, O. A., Cerdà, A., Ghiasi, S. S., Darabi, H., Haghighi, A. T., and Tien Bui, D.

Abstract

Export Date: 3 January 2021; Article; CODEN: JCROE; Correspondence Address: Tien Bui, D.; Institute of Research and Development, Duy Tan UniversityViet Nam; email: buitiendieu@duytan.edu.vn

Published
2020
Full Text
View/download PDF

34. Development of novel hybridized models for urban flood susceptibility mapping

Author

Rahmati, O. (Omid), Darabi, H. (Hamid), Panahi, M. (Mahdi), Kalantari, Z. (Zahra), Naghibi, S. A. (Seyed Amir), Santos Ferreira, C. S. (Carla Sofia), Kornejady, A. (Aiding), Karimidastenaei, Z. (Zahra), Mohammadi, F. (Farnoush), Stefanidis, S. (Stefanos), Bui, D. T. (Dieu Tien), Torabi Haghighi, A. (Ali), Rahmati, O. (Omid), Darabi, H. (Hamid), Panahi, M. (Mahdi), Kalantari, Z. (Zahra), Naghibi, S. A. (Seyed Amir), Santos Ferreira, C. S. (Carla Sofia), Kornejady, A. (Aiding), Karimidastenaei, Z. (Zahra), Mohammadi, F. (Farnoush), Stefanidis, S. (Stefanos), Bui, D. T. (Dieu Tien), and Torabi Haghighi, A. (Ali)

Abstract

Floods in urban environments often result in loss of life and destruction of property, with many negative socio-economic effects. However, the application of most flood prediction models still remains challenging due to data scarcity. This creates a need to develop novel hybridized models based on historical urban flood events, using, e.g., metaheuristic optimization algorithms and wavelet analysis. The hybridized models examined in this study (Wavelet-SVR-Bat and Wavelet-SVR-GWO), designed as intelligent systems, consist of a support vector regression (SVR), integrated with a combination of wavelet transform and metaheuristic optimization algorithms, including the grey wolf optimizer (GWO), and the bat optimizer (Bat). The efficiency of the novel hybridized and standalone SVR models for spatial modeling of urban flood inundation was evaluated using different cutoff-dependent and cutoff-independent evaluation criteria, including area under the receiver operating characteristic curve (AUC), Accuracy (A), Matthews Correlation Coefficient (MCC), Misclassification Rate (MR), and F-score. The results demonstrated that both hybridized models had very high performance (Wavelet-SVR-GWO: AUC = 0.981, A = 0.92, MCC = 0.86, MR = 0.07; Wavelet-SVR-Bat: AUC = 0.972, A = 0.88, MCC = 0.76, MR = 0.11) compared with the standalone SVR (AUC = 0.917, A = 0.85, MCC = 0.7, MR = 0.15). Therefore, these hybridized models are a promising, cost-effective method for spatial modeling of urban flood susceptibility and for providing in-depth insights to guide flood preparedness and emergency response services.

Published
2020

42. Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Author

Blöschl, G., Bierkens, M. F. P., Chambel, A., Cudennec, C., Destouni, G., Fiori, A., Kirchner, J. W., McDonnell, J. J., Savenije, H. H. G., Sivapalan, M., Stumpp, C., Toth, E., Volpi, E., Carr, G., Lupton, C., Salinas, J., Széles, B., Viglione, A., Aksoy, H., Allen, S. T., Amin, A., Andréassian, V., Arheimer, B., Aryal, S. K., Baker, V., Bardsley, E., Barendrecht, M. H., Bartosova, A., Batelaan, O., Berghuijs, W. R., Beven, K., Blume, T., Bogaard, T., Borges de Amorim, P., Böttcher, M. E., Boulet, G., Breinl, K., Brilly, M., Brocca, L., Buytaert, W., Castellarin, A., Castelletti, A., Chen, X., Chen, Y., Chifflard, P., Claps, P., Clark, M. P., Collins, A. L., Croke, B., Dathe, A., David, P. C., de Barros, F. P. J., de Rooij, G., Di Baldassarre, G., Driscoll, J. M., Duethmann, D., Dwivedi, R., Eris, E., Farmer, W. H., Feiccabrino, J., Ferguson, G., Ferrari, E., Ferraris, S., Fersch, B., Finger, D., Foglia, L., Fowler, K., Gartsman, B., Gascoin, S., Gaume, E., Gelfan, A., Geris, J., Gharari, S., Gleeson, T., Glendell, M., Gonzalez Bevacqua, A., González-Dugo, M. P., Grimaldi, S., Gupta, A. B., Guse, B., Han, D., Hannah, D., Harpold, A., Haun, S., Heal, K., Helfricht, K., Herrnegger, M., Hipsey, M., Hlaváčiková, H., Hohmann, C., Holko, L., Hopkinson, C., Hrachowitz, M., Illangasekare, T. H., Inam, A., Innocente, C., Istanbulluoglu, E., Jarihani, B., Kalantari, Z., Kalvans, A., Khanal, S., Khatami, S., Kiesel, J., Kirkby, M., Knoben, W., Kochanek, K., Kohnová, S., Kolechkina, A., Krause, S., Kreamer, D., Kreibich, H., Kunstmann, H., Lange, H., Liberato, M. L. R., Lindquist, E., Link, T., Liu, J., Loucks, D. P., Luce, C., Mahé, G., Makarieva, O., Malard, J., Mashtayeva, S., Maskey, S., Mas-Pla, J., Mavrova-Guirguinova, M., Mazzoleni, M., Mernild, S., Misstear, B. D., Montanari, A., Müller-Thomy, H., Nabizadeh, A., Nardi, F., Neale, C., Nesterova, N., Nurtaev, B., Odongo, V. O., Panda, S., Pande, S., Pang, Z., Papacharalampous, G., Perrin, C., Pfister, L., Pimentel, R., Polo, M. J., Post, D., Prieto Sierra, C., Ramos, M. -H, Renner, M., Reynolds, J. E., Ridolfi, E., Rigon, R., Riva, M., Robertson, D. E., Rosso, R., Roy, T., Sá, J.H.M., Salvadori, G., Sandells, M., Schaefli, B., Schumann, A., Scolobig, A., Seibert, J., Servat, E., Shafiei, M., Sharma, A., Sidibe, M., Sidle, R. C., Skaugen, T., Smith, H., Spiessl, S. M., Stein, L., Steinsland, I., Strasser, U., Su, B., Szolgay, J., Tarboton, D., Tauro, F., Thirel, G., Tian, F., Tong, R., Tussupova, K., Tyralis, H., Uijlenhoet, R., van Beek, R., van der Ent, R. J., van der Ploeg, M., Van Loon, A. F., van Meerveld, I., van Nooijen, R., van Oel, P. R., Vidal, J. -P, von Freyberg, J., Vorogushyn, S., Wachniew, P., Wade, A. J., Ward, P., Westerberg, I. K., White, C., Wood, E. F., Woods, R., Xu, Z., Yilmaz, K. K., Zhang, Y., Blöschl, G., Bierkens, M. F. P., Chambel, A., Cudennec, C., Destouni, G., Fiori, A., Kirchner, J. W., McDonnell, J. J., Savenije, H. H. G., Sivapalan, M., Stumpp, C., Toth, E., Volpi, E., Carr, G., Lupton, C., Salinas, J., Széles, B., Viglione, A., Aksoy, H., Allen, S. T., Amin, A., Andréassian, V., Arheimer, B., Aryal, S. K., Baker, V., Bardsley, E., Barendrecht, M. H., Bartosova, A., Batelaan, O., Berghuijs, W. R., Beven, K., Blume, T., Bogaard, T., Borges de Amorim, P., Böttcher, M. E., Boulet, G., Breinl, K., Brilly, M., Brocca, L., Buytaert, W., Castellarin, A., Castelletti, A., Chen, X., Chen, Y., Chifflard, P., Claps, P., Clark, M. P., Collins, A. L., Croke, B., Dathe, A., David, P. C., de Barros, F. P. J., de Rooij, G., Di Baldassarre, G., Driscoll, J. M., Duethmann, D., Dwivedi, R., Eris, E., Farmer, W. H., Feiccabrino, J., Ferguson, G., Ferrari, E., Ferraris, S., Fersch, B., Finger, D., Foglia, L., Fowler, K., Gartsman, B., Gascoin, S., Gaume, E., Gelfan, A., Geris, J., Gharari, S., Gleeson, T., Glendell, M., Gonzalez Bevacqua, A., González-Dugo, M. P., Grimaldi, S., Gupta, A. B., Guse, B., Han, D., Hannah, D., Harpold, A., Haun, S., Heal, K., Helfricht, K., Herrnegger, M., Hipsey, M., Hlaváčiková, H., Hohmann, C., Holko, L., Hopkinson, C., Hrachowitz, M., Illangasekare, T. H., Inam, A., Innocente, C., Istanbulluoglu, E., Jarihani, B., Kalantari, Z., Kalvans, A., Khanal, S., Khatami, S., Kiesel, J., Kirkby, M., Knoben, W., Kochanek, K., Kohnová, S., Kolechkina, A., Krause, S., Kreamer, D., Kreibich, H., Kunstmann, H., Lange, H., Liberato, M. L. R., Lindquist, E., Link, T., Liu, J., Loucks, D. P., Luce, C., Mahé, G., Makarieva, O., Malard, J., Mashtayeva, S., Maskey, S., Mas-Pla, J., Mavrova-Guirguinova, M., Mazzoleni, M., Mernild, S., Misstear, B. D., Montanari, A., Müller-Thomy, H., Nabizadeh, A., Nardi, F., Neale, C., Nesterova, N., Nurtaev, B., Odongo, V. O., Panda, S., Pande, S., Pang, Z., Papacharalampous, G., Perrin, C., Pfister, L., Pimentel, R., Polo, M. J., Post, D., Prieto Sierra, C., Ramos, M. -H, Renner, M., Reynolds, J. E., Ridolfi, E., Rigon, R., Riva, M., Robertson, D. E., Rosso, R., Roy, T., Sá, J.H.M., Salvadori, G., Sandells, M., Schaefli, B., Schumann, A., Scolobig, A., Seibert, J., Servat, E., Shafiei, M., Sharma, A., Sidibe, M., Sidle, R. C., Skaugen, T., Smith, H., Spiessl, S. M., Stein, L., Steinsland, I., Strasser, U., Su, B., Szolgay, J., Tarboton, D., Tauro, F., Thirel, G., Tian, F., Tong, R., Tussupova, K., Tyralis, H., Uijlenhoet, R., van Beek, R., van der Ent, R. J., van der Ploeg, M., Van Loon, A. F., van Meerveld, I., van Nooijen, R., van Oel, P. R., Vidal, J. -P, von Freyberg, J., Vorogushyn, S., Wachniew, P., Wade, A. J., Ward, P., Westerberg, I. K., White, C., Wood, E. F., Woods, R., Xu, Z., Yilmaz, K. K., and Zhang, Y.

Abstract

QC 20210112

Published
2019
Full Text
View/download PDF

47. Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Author

Blöschl, G. Bierkens, M. F. P. Chambel, A. Cudennec, C. Destouni, G. Fiori, A. Kirchner, J. W. McDonnell, J. J. Savenije, H. H. G. Sivapalan, M. Stumpp, C. Toth, E. Volpi, E. Carr, G. Lupton, C. Salinas, J. Széles, B. Viglione, A. Aksoy, H. Allen, S. T. Amin, A. Andréassian, V. Arheimer, B. Aryal, S. K. Baker, V. Bardsley, E. Barendrecht, M. H. Bartosova, A. Batelaan, O. Berghuijs, W. R. Beven, K. Blume, T. Bogaard, T. Borges de Amorim, P. Böttcher, M. E. Boulet, G. Breinl, K. Brilly, M. Brocca, L. Buytaert, W. Castellarin, A. Castelletti, A. Chen, X. Chen, Y. Chen, Y. Chifflard, P. Claps, P. Clark, M. P. Collins, A. L. Croke, B. Dathe, A. David, P. C. de Barros, F. P. J. de Rooij, G. Di Baldassarre, G. Driscoll, J. M. Duethmann, D. Dwivedi, R. Eris, E. Farmer, W. H. Feiccabrino, J. Ferguson, G. Ferrari, E. Ferraris, S. Fersch, B. Finger, D. Foglia, L. Fowler, K. Gartsman, B. Gascoin, S. Gaume, E. Gelfan, A. Geris, J. Gharari, S. Gleeson, T. Glendell, M. Gonzalez Bevacqua, A. González-Dugo, M. P. Grimaldi, S. Gupta, A. B. Guse, B. Han, D. Hannah, D. Harpold, A. Haun, S. Heal, K. Helfricht, K. Herrnegger, M. Hipsey, M. Hlaváčiková, H. Hohmann, C. Holko, L. Hopkinson, C. Hrachowitz, M. Illangasekare, T. H. Inam, A. Innocente, C. Istanbulluoglu, E. Jarihani, B. Kalantari, Z. Kalvans, A. Khanal, S. Khatami, S. Kiesel, J. Kirkby, M. Knoben, W. Kochanek, K. Kohnová, S. Kolechkina, A. Krause, S. Kreamer, D. Kreibich, H. Kunstmann, H. Lange, H. Liberato, M. L. R. Lindquist, E. Link, T. Liu, J. Loucks, D. P. Luce, C. Mahé, G. Makarieva, O. Malard, J. Mashtayeva, S. Maskey, S. Mas-Pla, J. Mavrova-Guirguinova, M. Mazzoleni, M. Mernild, S. Misstear, B. D. Montanari, A. Müller-Thomy, H. Nabizadeh, A. Nardi, F. Neale, C. Nesterova, N. Nurtaev, B. Odongo, V. O. Panda, S. Pande, S. Pang, Z. Papacharalampous, G. Perrin, C. Pfister, L. Pimentel, R. Polo, M. J. Post, D. Prieto Sierra, C. Ramos, M. H. Renner, M. Reynolds, J. E. Ridolfi, E. Rigon, R. Riva, M. Robertson, D. E. Rosso, R. and Blöschl, G. Bierkens, M. F. P. Chambel, A. Cudennec, C. Destouni, G. Fiori, A. Kirchner, J. W. McDonnell, J. J. Savenije, H. H. G. Sivapalan, M. Stumpp, C. Toth, E. Volpi, E. Carr, G. Lupton, C. Salinas, J. Széles, B. Viglione, A. Aksoy, H. Allen, S. T. Amin, A. Andréassian, V. Arheimer, B. Aryal, S. K. Baker, V. Bardsley, E. Barendrecht, M. H. Bartosova, A. Batelaan, O. Berghuijs, W. R. Beven, K. Blume, T. Bogaard, T. Borges de Amorim, P. Böttcher, M. E. Boulet, G. Breinl, K. Brilly, M. Brocca, L. Buytaert, W. Castellarin, A. Castelletti, A. Chen, X. Chen, Y. Chen, Y. Chifflard, P. Claps, P. Clark, M. P. Collins, A. L. Croke, B. Dathe, A. David, P. C. de Barros, F. P. J. de Rooij, G. Di Baldassarre, G. Driscoll, J. M. Duethmann, D. Dwivedi, R. Eris, E. Farmer, W. H. Feiccabrino, J. Ferguson, G. Ferrari, E. Ferraris, S. Fersch, B. Finger, D. Foglia, L. Fowler, K. Gartsman, B. Gascoin, S. Gaume, E. Gelfan, A. Geris, J. Gharari, S. Gleeson, T. Glendell, M. Gonzalez Bevacqua, A. González-Dugo, M. P. Grimaldi, S. Gupta, A. B. Guse, B. Han, D. Hannah, D. Harpold, A. Haun, S. Heal, K. Helfricht, K. Herrnegger, M. Hipsey, M. Hlaváčiková, H. Hohmann, C. Holko, L. Hopkinson, C. Hrachowitz, M. Illangasekare, T. H. Inam, A. Innocente, C. Istanbulluoglu, E. Jarihani, B. Kalantari, Z. Kalvans, A. Khanal, S. Khatami, S. Kiesel, J. Kirkby, M. Knoben, W. Kochanek, K. Kohnová, S. Kolechkina, A. Krause, S. Kreamer, D. Kreibich, H. Kunstmann, H. Lange, H. Liberato, M. L. R. Lindquist, E. Link, T. Liu, J. Loucks, D. P. Luce, C. Mahé, G. Makarieva, O. Malard, J. Mashtayeva, S. Maskey, S. Mas-Pla, J. Mavrova-Guirguinova, M. Mazzoleni, M. Mernild, S. Misstear, B. D. Montanari, A. Müller-Thomy, H. Nabizadeh, A. Nardi, F. Neale, C. Nesterova, N. Nurtaev, B. Odongo, V. O. Panda, S. Pande, S. Pang, Z. Papacharalampous, G. Perrin, C. Pfister, L. Pimentel, R. Polo, M. J. Post, D. Prieto Sierra, C. Ramos, M. H. Renner, M. Reynolds, J. E. Ridolfi, E. Rigon, R. Riva, M. Robertson, D. E. Rosso, R.

Abstract

This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused on the process-based understanding of hydrological variability and causality at all space and time scales. Increased attention to environmental change drives a new emphasis on understanding how change propagates across interfaces within the hydrological system and across disciplinary boundaries. In particular, the expansion of the human footprint raises a new set of questions related to human interactions with nature and water cycle feedbacks in the context of complex water management problems. We hope that this reflection and synthesis of the 23 unsolved problems in hydrology will help guide research efforts for some years to come.

Published
2019
Full Text
View/download PDF

48. GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms

Author

Arabameri, A, Pradhan, B, Rezaei, K, Sohrabi, M, Kalantari, Z, Arabameri, A, Pradhan, B, Rezaei, K, Sohrabi, M, and Kalantari, Z

Abstract

© 2019, Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature. In this study, a novel approach of the landslide numerical risk factor (LNRF) bivariate model was used in ensemble with linear multivariate regression (LMR) and boosted regression tree (BRT) models, coupled with radar remote sensing data and geographic information system (GIS), for landslide susceptibility mapping (LSM) in the Gorganroud watershed, Iran. Fifteen topographic, hydrological, geological and environmental conditioning factors and a landslide inventory (70%, or 298 landslides) were used in mapping. Phased array-type L-band synthetic aperture radar data were used to extract topographic parameters. Coefficients of tolerance and variance inflation factor were used to determine the coherence among conditioning factors. Data for the landslide inventory map were obtained from various resources, such as Iranian Landslide Working Party (ILWP), Forestry, Rangeland and Watershed Organisation (FRWO), extensive field surveys, interpretation of aerial photos and satellite images, and radar data. Of the total data, 30% were used to validate LSMs, using area under the curve (AUC), frequency ratio (FR) and seed cell area index (SCAI). Normalised difference vegetation index, land use/ land cover and slope degree in BRT model elevation, rainfall and distance from stream were found to be important factors and were given the highest weightage in modelling. Validation results using AUC showed that the ensemble LNRF-BRT and LNRFLMR models (AUC = 0.912 (91.2%) and 0.907 (90.7%), respectively) had high predictive accuracy than the LNRF model alone (AUC = 0.855 (85.5%)). The FR and SCAI analyses showed that all models divided the parameter classes with high precision. Overall, our novel approach of combining multivariate and machine learning methods with bivariate models, radar remote sensing data and GIS proved to be a powerful tool for landslide s

Published
2019

50. Human impacts on soil

Author

Ferreira, C. S. S., Pereira, P., Kalantari, Z., Ferreira, C. S. S., Pereira, P., and Kalantari, Z.

Abstract

QC 20210112

Published
2018
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results