Abdi, A., Hassanzadeh, Y., Ouarda, T.B.M.J. 2017. Regional frequency analysis using Growing Neural Gas network. Journal of Hydrology, 550, 92-102. https://doi.org/10.1016/j.jhydrol.2017.04.047
Adamowski, K., Alila, Y., Pilon, P.J. 1996. Regional rainfall distribution for Canada. Atmospheric Research, 42, 75-88. https://doi.org/10.1016/0169-8095(95)00054-2
Akkala, A., Devabhaktuni, V., Kumar, A. 2010. Interpolation techniques and associated software for environmental data. Environmental Progress and Sustainable Energy, 29(2), 134-141. https://doi.org/10.1002/ep.10455
[+]
Abdi, A., Hassanzadeh, Y., Ouarda, T.B.M.J. 2017. Regional frequency analysis using Growing Neural Gas network. Journal of Hydrology, 550, 92-102. https://doi.org/10.1016/j.jhydrol.2017.04.047
Adamowski, K., Alila, Y., Pilon, P.J. 1996. Regional rainfall distribution for Canada. Atmospheric Research, 42, 75-88. https://doi.org/10.1016/0169-8095(95)00054-2
Akkala, A., Devabhaktuni, V., Kumar, A. 2010. Interpolation techniques and associated software for environmental data. Environmental Progress and Sustainable Energy, 29(2), 134-141. https://doi.org/10.1002/ep.10455
Almasi A., Ahmad J., Toomanian N., 2014. Using OK and IDW methods for prediction the spatial variability of a horizon depth and OM in soils of Shahrekord, Iran. Journal of Environmental Research and Management, 5(8):139-147.
Álvarez, A.J., Orduña, L.M. 2014. Caracterización del comportamiento estadístico de los caudales máximos estacionales en la España peninsular: Propuesta metodológica para su cálculo. Ingeniería Civil, 174, 51-69.
Álvarez, M., Puertas, J., Soto, B., Díaz-Fierros, F. 1999. Análisis regional de las precipitaciones máximas en Galicia mediante el método del índice de avenida. Ingeniería Del Agua, 6(4), 379-386. https://doi.org/10.4995/ia.1999.2795
Ayoade, J.O. 1976. A preliminary study of magnitude of frequency and distribution of intense rainfall in Nigeria. Hydrological Sciences Journal, 21(3), 419-421. https://doi.org/10.1080/02626667609491650
Bilham, E.G. 1936. Classification of heavy falls in short periods. British Rainfall, 1935, 262-280.
Blanchet, J., Ceresetti, D., Molinié, G., Creutin, J.D. 2016. A regional GEV scale-invariant framework for Intensity-Duration-Frequency analysis. Journal of Hydrology, 540, 82-95. https://doi.org/10.1016/j.jhydrol.2016.06.007
Cannarozzo, M., D'asaro, F., Ferro, V. 1995. Regional rainfall and flood frequency analysis for Sicily using the two component extreme value distribution. Hydrological Sciences Journal, 40(1), 19-41. https://doi.org/10.1080/02626669509491388
Caporali, E., Cavigli, E., Petrucci, A. 2006. The index rainfall in the regional frequency analysis of extreme events in Tuscany (Italy). Environmetrics, 19, 714-724. https://doi.org/10.1002/env.949
Dalrymple, T. 1960. Flood frequency analyses. U.S. Geol. Surv. Water Supply Pap., no. 1543A, p. 80.
Delhomme, J.P. 1978. Kriging in the hydrosciences. Advances in Water Resources, 1(5), 251-266. https://doi.org/10.1016/0309-1708(78)90039-8
García-Marín A.P. 2007. Análisis multifractal de series de datos pluviométricos en Andalucía. Universidad de Córdoba, Servicio de Publicaciones.
García-Marín, A.P., Estévez, J., Sangüesa-Pool, C., Pizarro-Tapia, R., Ayuso-Muñoz, J.L., Jimenez-Hornero, F.J. 2015. The use of the exponent K(q) function to delimit homogeneous regions in regional frequency analysis of extreme annual daily rainfall. Hydrological Processes, 29, 139-151. https://doi.org/10.1002/hyp.10284
G.N. (Gobierno de Navarra). 2001. Estudio Agroclimático de Navarra. Gobierno de Navarra. http://meteo.navarra.es/
Gong ,G., Mattevada, S., O'Bryant, S. 2014. Comparison of the accuracy of kriging and IDW interpolations in estimating groundwater arsenic concentrations in Texas. Environmental Research, 130, 59-69. https://doi.org/10.1016/j.envres.2013.12.005
Gotway, C., Ferguson, R., Hergert, G., Peterson, T. 1996. Comparison of kriging and inverse-distance methods for mapping soil parameters. Soil Science Society of American Journal, 60, 1237-1247. https://doi.org/10.1016/j.envres.2013.12.005
Guodong, J., Yancong, L., Wenjie, N. 2003. Comparison between inverse distance weighting method and Kriging. Journal of Changchun University of Technology, 24(3), 53-57.
Hailegeorgis, T.T., Alfredsen, K. 2017. Regional flood frequency analysis and prediction in ungauged basins including estimation of major uncertainties for mid-Norway. Journal of Hydrology, Regional Studies: 9, 104-126.
Halbert, K., Nguyen, C.C., Payrastre, O., Gaume, E. 2016. Reducing uncertainty in flood frequency analyses: A comparison of local and regional approaches involving information on extreme historical flood. Journal of Hydrology, 541, 90-98. https://doi.org/10.1016/j.jhydrol.2016.01.017
Hengl, T. 2009. A Practical guide to Geostatistical Mapping. http://spatial-analyst.net/book/system/files/Hengl_2009_GEOSTATe2c1w.pdf
Hosking, J., Wallis J. 1997. Regional frequency analysis: An approach based on L-moments. Cambridge University Press.
Hosking, J. 2015a. Regional Frequency Analysis using L-Moments, Lmom R Package, Version 2.5.
Hosking, J. 2015b. Regional Frequency Analysis using L-Moments, LmomRFA R Package, Version 3.0-1.
Kjeldsen, T.R., Smithers, J., Schulze, R. 2002. Regional flood frequency analysis in the KwaZulu-Natal province, South Africa, using the index-flood method. Journal of Hydrology, 255(1), 194-211. https://doi.org/10.1016/S0022-1694(01)00520-0
Kumari, M., Basistha, A., Bakimchandra, O., Singh, C.K. 2016. Comparison of Spatial Interpolation Methods for Mapping Rainfall in Indian Himalayas of Uttarakhand Region. In: Raju JN (ed) Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment. pp. 159-168. Springer International Publishing. https://doi.org/10.1007/978-3-319-18663-4_27
Kysely, J., Picek, J. 2007. Regional growth curve and improved design values of extreme precipitation events in the Czech Republic. Climate Research, 33(3), 243- 255. https://doi.org/10.3354/cr033243
Kysely, J., Picek, J., Huth, R. 2007. Formation of homogeneous regions for regional frequency analysis of extreme precipitation events in the Czech Republic, Studia Geophysica et Geodeatica, 51(2), 327-344. https://doi.org/10.1007/s11200-007-0018-3
Lee, S.H., Maeng, S.J. 2003. Frequency analysis of extreme rainfall using Lmoments. Irrigation and Drainage, 52(3), 219-230. https://doi.org/10.1002/ird.90
Lin G.-F., Chen Lu-H. 2006. Identification of homogeneous regions for regional frequency analysis using the self-organizing maps. Journal of Hydrology, 324(1-4), 1-9. https://doi.org/10.1016/j.jhydrol.2005.09.009
Li, J., Heap, A. 2011. Review of comparative studies of spatial interpolation methods in environmental sciences: performance and impact factors. Ecological Informatics, 6(3-4), 228-241. https://doi.org/10.1016/j.ecoinf.2010.12.003
Liu, G., Yang, X. 2008. Spatial variability analysis of soil properties within a field. International Conference on Computer and Computing Technologies in Agriculture. Wuyishan, China (08-18-2007). 1341-1344 pp. Springer. US. https://doi.org/10.1007/978-0-387-77253-0_75
Liu, J., Doan, C.D., Liong, S.-Y., Sanders, R., Dao, A.T., Fewtrell, T. 2015. Regional frequency analysis of extreme rainfall events in Jakarta. Natural Hazards, 75(2), 1075-1104. https://doi.org/10.1007/s11069-014-1363-5
Liu, W., Du, P., Zhao, Z., Zhang, L. 2016. An Adaptive Weighting Algorithm for Interpolating the Soil Potassium Content. Scientific Reports, 6, 1-12. https://doi.org/10.1038/srep23889
Malekinezhad, H., Zare-Garizi, A. 2014. Regional frequency analysis of daily rainfall extremes using L-moments approach. Atmósfera, 27(4), 411-427. https://doi.org/10.1016/S0187-6236(14)70039-6
Montes, J., Álvarez, M., Pertierra, L., Moralo, J., Baztán, J. 2018. Regional Frequency Analysis of extremes flows in Northern of Spain. Ingeniería del agua, 22(2), 93-107. https://doi.org/10.4995/Ia.2018.8782
Ngongondo, C.S., Xu, C.-Yu, Tallaksen, L.M., Alemaw, B., Chirwa, T. 2011. Regional frequency analysis of rainfall extremes in Southern malwai using index rainfall and L-moments approaches. Stochastic Environmental Research and Risk Assesment, 25(7), 939-955. https://doi.org/10.1007/s00477-011-0480-x
Norbiato, D., Borga, M., Sangat,i M., Zanon, F. 2007. Regional frequency analysis of extreme precipitation in the eastern Italian Alps and the August 29, 2003 flash flood. Journal of Hydrology, 345(3), 149-166. https://doi.org/10.1016/j.jhydrol.2007.07.009
Oliver, M.A., Webster, R. 1990. Kriging: a method of interpolation for geographical information systems. International Journal of Geographical Information Systems, 4(3), 313-332. https://doi.org/10.1080/02693799008941549
Parida, B.P., Kachroo, R.K., Shrestha, D.B. 1998. Regional Flood Frequency Analysis of Mahi-Sabarmati Basin (subzone 3-a) using Index-Flood Procedure with L-moments. Water Resources Management, 12(1-2), 1-12.
Park, J.S., Jung, H.S., Kim, R.S., Oh, J.H. 2001. Modelling summer extreme rainfall over the Korean peninsula using Wakeby distribution. International. Journal of Climatology, 21(11), 1371-1384. https://doi.org/10.1002/joc.701
Pearson, C., McKerchar, A., Woods, R. 1991. Regional flood frequency analysis of western Australian data using L-moments. National Conference Publication-Institute of Engineers. Australia. 631-632.
Schaefer, M.G. 1990. Regional analyses of mean annual precipitation in Washington State. Water Resources Research, 26(1), 119-131. https://doi.org/10.1029/89WR01513
Shahzadi, A., Akhter, A.S., Saf, B. 2013. Regional Frequency Analysis of Annual Maximum Rainfall in Monsoon Region of Pakistan using L-moments. Pakistan Journal of Statistics and Operation Research, 9(1), 111-136. https://doi.org/10.18187/pjsor.v9i1.461
Smithers, J.C., Schulze, R.E. 2001. A methodology for the estimation of short duration design storms in South Africa using a regional approach based on L-moments. Journal of Hydrology, 24(1-2), 42-52. https://doi.org/10.1016/S0022-1694(00)00374-7
Sveinsson, O.G.B., Salas, J.D., Boes, D.C. 2002. Regional frequency analysis of extreme precipitation in northeastern Colorado and Fort Collins flood of 1997. Journal of Hydrologic Engineering, 7(1), 49-63. https://doi.org/10.1061/(ASCE)1084-0699(2002)7:1(49)
Trefry, C.M., Watkins, Jr., Johnson, D. 2005. Regional rainfall frequency analysis for the State of Michigan. Journal of Hydrological Engineering, 10(6), 437-449. https://doi.org/10.1061/(ASCE)1084-0699(2005)10:6(437)
Vogel, R.M., Thomas, Jr. W.O., McMahon, T.A. 1993. Flood-flow frequency model selection in southwestern United States. Journal of Water Resources Planning and Management, 119(3), 353-366. https://doi.org/10.1061/(ASCE)0733-9496(1993)119:3(353)
Weaver, J.C. 2006. Frequency of annual maximum precipitation in the city of Charlotte and Mecklenburg country, North Carolina, through 2004. Scientific Investigation Report 2006-5017. U.S. Department of Interior, U.S.
Weber, D., Englund, E. 1992. Evaluation and comparison of spatial interpolators. Mathematical Geology, 24, 381-391. https://doi.org/10.1007/BF00891270
Yang, T., Shao, Q., Hao, Z., Chen, X., Zhang, Z., Xu, C., Sun, L. 2010. Regional frequency analysis and spatio-temporal pattern characterization of rainfall extremes in the pearl river basin, China. Journal of Hydrology, 380(3), 386-405. https://doi.org/10.1016/j.jhydrol.2009.11.013
Yao, X., Fu, B., Lu, Y., Sun, F., Wang S., Liu, M. 2013. Comparison of Four Spatial Interpolation Methods for Estimating Soil Moisture in a Complex Terrain Catchment. Plos One, 8(1), 1-13. https://doi.org/10.1371/journal.pone.0054660
Yasrebi, J., Saffari, M., Fathi, H., Karimian, N., Moazallahi, M., Gazni, R. 2009. Evaluation and comparison of ordinary kriging and inverse distance weighting methods for prediction of spatial variability of some soil chemical parameters. Research Journal of Biological Sciences, 4(1), 93-102.
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