Please wait a minute...
Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front. Earth Sci.    2017, Vol. 11 Issue (2) : 229-247    https://doi.org/10.1007/s11707-017-0636-1
RESEARCH ARTICLE
Mapping flood and flooding potential indices: a methodological approach to identifying areas susceptible to flood and flooding risk. Case study: the Prahova catchment (Romania)
Liliana ZAHARIA1, Romulus COSTACHE1,2(), Remus PRĂVĂLIE1, Gabriela IOANA-TOROIMAC1
1. Faculty of Geography, University of Bucharest, 1 Nicolae Bălcescu Str., 010041 Bucharest, Romania
2. National Institute of Hydrology and Water Management, 97 Bucureşti-Ploieşti Str., District 1, Bucharest, Romania
 Download: PDF(17879 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

Given that floods continue to cause yearly significant worldwide human and material damages, flood risk mitigation is a key issue and a permanent challenge in developing policies and strategies at various spatial scales. Therefore, a basic phase is elaborating hazard and flood risk maps, documents which are an essential support for flood risk management. The aim of this paper is to develop an approach that allows for the identification of flash-flood and flood-prone susceptible areas based on computing and mapping of two indices: FFPI (Flash-Flood Potential Index) and FPI (Flooding Potential Index). These indices are obtained by integrating in a GIS environment several geographical variables which control runoff (in the case of the FFPI) and favour flooding (in the case of the FPI). The methodology was applied in the upper (mountainous) and middle (hilly) catchment of the Prahova River, a densely populated and socioeconomically well-developed area which has been affected repeatedly by water-related hazards over the past decades. The resulting maps showing the spatialization of the FFPI and FPI allow for the identification of areas with high susceptibility to flash-floods and flooding. This approach can provide useful mapped information, especially for areas (generally large) where there are no flood/hazard risk maps. Moreover, the FFPI and FPI maps can constitute a preliminary step for flood risk and vulnerability assessment.

Keywords flash-flood      flooding      Flash-flood/Flooding Potential Index      Prahova River catchment      Romania     
Corresponding Author(s): Romulus COSTACHE   
Just Accepted Date: 09 January 2017   Online First Date: 13 April 2017    Issue Date: 19 May 2017
 Cite this article:   
Liliana ZAHARIA,Romulus COSTACHE,Remus PRĂVĂLIE, et al. Mapping flood and flooding potential indices: a methodological approach to identifying areas susceptible to flood and flooding risk. Case study: the Prahova catchment (Romania)[J]. Front. Earth Sci., 2017, 11(2): 229-247.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-017-0636-1
https://academic.hep.com.cn/fesci/EN/Y2017/V11/I2/229
Fig.1  Study area and its location in the Prahova River’s catchment and in Romania.
Fig.2  Maps of the geographic variables used for estimating the FFPI and FPI: (a) tangential curvature, (b) profile curvature, (c) slope, (d) L-S Factor, (e) absolute elevation, (f) drainage density.
Fig.3  Maps of the geographic variables used for estimating the FFPI and FPI: (a) runoff depth, (b) convergence index, (c) wetness index, (d) altitude above channel, (e) catchment shape, (f) lithology.
River Gauging station Period (for Qmax) A/km2 Hm/m Qo/(m3·s−1) Qmax/(m3/s) / year
Prahova Câmpina 1962–2007 476 1106 8.02 399/2005
Azuga Azuga 1962–2007 87 1364 2.02 94/1975
Valea Cerbului Buşteni 1962–2007 25 1530 0.468 62.3/2001
Doftana Teşila 1962–2007 288 1200 4.5 218/1999
Teleajen Cheia 1962–2007 39 1265 0.777 85/1970
Teleajen Gura Vitioarei 1962–2007 491 896 5.53 308/2005
Slănic Vărbilău 1966–2007 412 519 0.268 158/1975
Tab.1  Morphometric and hydrologic data for the analyzed rivers
Parameters/Weight (%) FFPI (classes)
17.8 25.5 25.5 29.2 29.2 32.9 32.9 36.7 36.7 48.1
Tangential curvature – 17% 0.9 – 2.8 0 – 0.9 ?1.7 0
Runoff (mm) – 21% 367 513 513 665 665 789 789 894 894 – 1027
Profile curvature – 13% 0.9 – 2.5 0 – 0.9 ?2.5 – 0
Catchment shape – 8.8% 0.09 – 0.14 0.14 – 0.3 0.3 0.44 0.44 – 0.6 0.6 – 0.77
L-S Factor – 11% 0 – 1.5 1.5 ? 3 3 – 4.5 4.5 6 >6
Lithology – 10% Loess deposits Gravels, sands Marls, clays Conglomerates Sandstones, Shists
Convergence index −9.6% >0 0– (–1) (–1) – (–2) (–2) – (–3) <–3
Drainage density (km/km2) – 9.6% <1.5 1.5 – 2.25 2.25 3 3 – 3.75 >3.75
Bonitation score 1 2 3 4 5
Tab.2  Weighting and classification of geographical factors for determining the FFPI index in the middle and upper sectors of Prahova catchment
Parameters/Weight (%) FPI (classes)
13.3 – 22.3 22.3 – 25.6 25.6 – 29.5 29.5 – 34.4 34.4 – 46
Slope (º) – 21% >30 20 ? 30 10 – 20 5 10 0 5
Wetness index ? 8.8% 3.1 – 6.4 6.4 – 8.3 8.3 – 10.8 10.8 – 15.1 15.1 – 25.7
Runoff (mm) ? 19% 367 – 513 513 – 665 665 – 789 789 – 894 894 – 1027
Lithology ? 10% Loess deposits Gravels, sands Marls, clays Conglomerates Sandstones, Shists
Drainage density <1.5 1.5 – 2.25 2.25 3 3 – 3.75 >3.75
(km/km2) – 9.6%
Convergence index – 9.6% >0 0 – (?1) (?1) – (?2) (?2) – (?3) <?3
Elevation (m) – 10% 1491 2485 1091 1491 729 1091 413 729 115 413
Altitude above channel (m) ? 12% >4 3.1 4 2.1 3 1.1 2 0 1
Bonitation score 1 2 3 4 5
Tab.3  Weighting and classification of geographical factors for determining the FPI index in the middle and upper sectors of Prahova catchment
River Gauging station Qmax/ (m3·s−1) Date
month/year
Qmax/Qo ?River Gauging station Qmax/ (m3·s−1) Date
month/year
Qmax/Qo
Prahova Câmpina 399
369
340
292
265
VII/2005
VII/1988
VII/1975
VIII/1997
VIII/1982
49.8
46
42.4
36.4
33.0
?Teleajen Cheia 85
66.2
57.8
51.7
46.4
VIII/1970
VII/1975
VII/1969
V/1984
VI/1985
109.4
85.2
74.4
66.5
59.7
Azuga Azuga 94
92.4
81.5
74.6
53.8
VII/1975
IX/2001
III/2007
VII/1988
V/1984
46.5
45.7
40.3
36.9
26.6
?Teleajen Gura Vitioarei 308
286
234
226
216
IX/2005
III/2007
VI/1991
VIII/2006
V/1980
55.7
51.7
42.3
40.9
39.1
Valea Cerbului Buşteni 62.3
54.2
24.7
22.2
22.2
VI/2001
VII/1988
VIII/1999
VII/1969
VI/1981
133.1
115.8
52.8
47.4
47.4
?Slănic Vărbilău 175
158
130
127
106
VII/2002
VII/1975
VI/1998
VIII/2005
VII/1979
653.0
586.6
485.1
473.9
395.5
Doftana Teşila 249
218
181
173
131
III/2007
VIII/1999
V/2005
VI/2001
VIII/1970
55.3
48.4
40.2
38.4
29.1
Tab.4  Flash-floods with the highest magnitudes (top five in terms of flood peak value) in the upper and middle Prahova River’s catchment
Fig.4  Left: Buildings on the Prahova River at Comarnic, damaged by riverbank erosion as a result of the flash-flood of July 2005 (photo: Gabriela Ioana-Toroimac). Right: Bridge destroyed by the flash-flood which occurred on the Prahova River in July 2005, at Nedelea (photo: Liliana Zaharia).
Fig.5  Spatial distribution of FFPI values in the upper and middle catchment of the Prahova River: (a) all five classes; (b) only class 5, with the highest accelerated runoff potential. Note: classes 1, 2, 3, 4 and 5 (in (a)) correspond respectively to very low, low, moderate, high, and very high potential of flash-floods genesis.
Fig.6  Spatial distribution of FPI values in the upper and middle catchment of the Prahova River: (a) all five classes; (b) only the class 5, with the highest flooding potential. Note: classes 1, 2, 3, 4 and 5 (in (a)) correspond respectively to very low, low, moderate, high, and very high potential of flooding genesis.
Fig.7  Spatial distribution of FPI values, areas affected by significant historical floods and number of flood events recorded in the period 2009–2016, in the upper and middle catchment of the Prahova River.
Fig.8  Transport infrastructure (the national/European road DN1/E60 and railroad) and buildings exposed to flood and flooding risk in the upper Prahova Valley, in city of Sinaia (pictures taken by Gabriela Ioana-Toroimac during the flood of March 2007).
1 C Arghiuş, V Arghiuş (2011). The quantitative estimation of the soil erosion using USLE type ROMSEM model. Case-study: the Codrului ridge and piedmont (Romania). Carpath J Earth Environ Sci, 6(2): 59–66
2 K Auerswald, J Haider (1996). Runoff curve numbers for small grain under German cropping conditions. J Environ Manage, 47(3): 223–228
https://doi.org/10.1006/jema.1996.0048
3 S Balica, Q Dinh, I Popescu, Vo Q T, D Q Pham (2014). Flood impact in the Mekong Delta, Vietnam. J Maps, 10(2): 257–268
https://doi.org/10.1080/17445647.2013.859636
4 Ş Bilaşco (2008). Implementing GIS in slope flash-flood modelling (in Romanian). Casa Cărţii de Ştiinţă Cluj-Napoca, Romania
5 Ş Bilaşco, C Horvath, P Cocean, V Sorocovschi, M Oncu (2009). Implementation of the USLE model using GIS techniques. Case study the Someşean Plateau. Carpath J Earth Environ Sci, 4(2): 123–132
6 M V Bîrsan, L Zaharia, V Chendeş, E Brănescu (2014). Seasonal trends in Romanian streamflow. Hydrol Processes, 28(15): 4496–4505
https://doi.org/10.1002/hyp.9961
7 O Bogdan (1983). Climatic and topoclimatic regions in Romanian Geography (in Romanian). Physical Geography, Ed. Academiei R.S.R., p. 277–279, Bucharest, Romania
8 I Braud, H Roux, S Anquetin, M M Maubourguet, C Manus, P Viallet, D Dartus (2010). The use of distributed hydrological models for the Gard 2002 flash flood event: analysis of associated hydrological processes. J Hydrol (Amst), 394(1): 162–181
https://doi.org/10.1016/j.jhydrol.2010.03.033
9 A Busuioc, M Caian, S Cheval, R Bojariu, C Boroneanţ, M Baciu, A Dumitrescu (2010). Climate variability and change in Romania (in Romanian). Pro Universitaria Publishing, Bucharest, Romania
10 V Chendeş (2007). Liquid and solid runoff in the Curvature Subcarpathians (in Romanian). Dissertation for PhD degree. Romanian Academy, Geography Institute, Library of the Geography Institute, Bucharest, Romania
11 CLC (2006). Corine Land cover (raster data). European Environment Agency. Accessed at
12 C Conoscenti, C Di Maggio, E Rotigliano (2008). GIS analysis to assess landslide susceptibility in a fluvial basin of NW Sicily (Italy). Geomorphology, 94(3–4): 325–339
https://doi.org/10.1016/j.geomorph.2006.10.039
13 Ş Constantinescu (2006). Observations on morphometric indicators computed based on DEM (in Romanian).
14 R Costache, F Fontanine, E Corodescu (2014). Assessment of surface runoff depth changes in Sǎrǎţel River basin, Romania using GIS techniques. Cent Eur J Geosci, 6(3): 363–372
15 R Costache, R Prăvălie (2012). The use of GIS techniques in the evaluation of the susceptibility of the floods genesis in the hydrographical basin of Bâsca Chiojdului river. Analele Universităţii din Oradea. Seria Geografie, 22(2): 284–293
16 R Costache, R Prăvălie, I Mitof, C Popescu (2015). Flood vulnerability assessment in the low sector of Saratel catchment. Case study: Joseni village. Carpath J Earth Environ Sci, 10(1): 161–169
17 CRED (2015). Centre for Research on the Epidemiology of Disasters – Report on Human cost of Natural Disasters. A global perspective.
18 A E Croitoru, I Minea (2015). The impact of climate changes on rivers discharge in Eastern Romania. Theor Appl Climatol, 120(3–4): 563–573
https://doi.org/10.1007/s00704-014-1194-z
19 A E Croitoru, A Piţicar, D C Burada (2016). Changes in precipitation extremes in Romania. Quat Int, 415: 325–335
https://doi.org/10.1016/j.quaint.2015.07.028
20 DEPC (2007). Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks, Official Journal of the European Union L 288(27) 8p.
21 M Diakakis (2011). A method for flood hazard mapping based on basin morphometry: application in two catchments in Greece. Nat Hazards, 56(3): 803–814
https://doi.org/10.1007/s11069-010-9592-8
22 M Domniţa (2012). Runoff modeling using GIS. Application in torrential basins in the Apuseni Mountains. Dissertation for PhD degree. Cluj Napoca, Romania
23 R Drobot (2007). Methodology for determining torrential catchments in which human settlements are exposed to flash floods (in Romanian). Technical University of Civil Engineering, Bucharest, Romania
24 A Dumitrescu, R Bojariu, M V Bîrsan, L Marin, A Manea (2015). Recent climatic changes in Romania from observational data (1961–2013). Theor Appl Climatol, 122(1–2): 111–119
https://doi.org/10.1007/s00704-014-1290-0
25 I Fontanine, R D Costache (2013). The potential for water diffuse pollution with heavy metals in Arieş river basin. Analele Ştiintifice ale Universităţii" Alexandru Ioan Cuza" din Iasi. Seria Geografie, 59(2): 59–72
26 K P Georgakakos (2006). Analytical results for operational flash flood guidance. J Hydrol (Amst), 317(1–2): 81–103
https://doi.org/10.1016/j.jhydrol.2005.05.009
27 A Gobin, R Jones, M Kirkby, P Campling, G Govers, C Kosmas, A R Gentile (2004). Indicators for pan-European assessment and monitoring of soil erosion by water. Environ Sci Policy, 7(1): 25–38
https://doi.org/10.1016/j.envsci.2003.09.004
28 A Godfrey, R L Ciurean, van C J Westen, N C Kingma, T Glade (2015). Assessing vulnerability of buildings to hydro-meteorological hazards using an expert based approach – An application in NehoiuValley, Romania. Int J Disaster Risk Reduct, 13: 229–241
https://doi.org/10.1016/j.ijdrr.2015.06.001
29 P Gonçalves, I Marafuz, A Gomes (2015). Flood hazard, Santa Cruz do Bispo Sector, Leça River, Portugal: a methodological contribution to improve land use planning. J Maps, 11(5): 760–771
https://doi.org/10.1080/17445647.2014.974226
30 S Grimaldi, A Petroselli, N Romano (2013). Green‐Ampt Curve‐Number mixed procedure as an empirical tool for rainfall–runoff modelling in small and ungauged basins. Hydrol Processes, 27(8): 1253–1264
https://doi.org/10.1002/hyp.9303
31 M Hooshyar, D Wang (2016). An analytical solution of Richards’ equation providing the physical basis of SCS curve number method and its proportionality relationship. Water Resour Res, 52(8): 6611–6620
https://doi.org/10.1002/2016WR018885
32 IESP (2016). Communicate-buletine (in Romanian).
33 G Ioana-Toroimac (2009). La dynamique hydromorphologique de la rivière Prahova (Roumanie) : fonctionnement actuel, évolution récente et conséquences géographiques. PhD Thesis in Geography, University of Lille 1, France
34 G Ioana-Toroimac (2016). Inventory of long-term braiding activity at a regional scaleas a tool for detecting alterations to a rivers’ hydromorphological state: a case study for Romania’s south-eastern Subcarpathians. Environ Manage, 58(1): 93–106
https://doi.org/10.1007/s00267-016-0701-7
35 G Ioana-Toroimac, R Dobre, F Grecu, L Zaharia (2010). A 2D active channel’s evolution of the Upper Prahova River (Romania) during the last 150 years. Géomorphologie, 16(3): 275–286
https://doi.org/10.4000/geomorphologie.7988
36 R Jacinto, N Grosso, E Reis, L Dias, F D Santos, P Garrett (2015). Continental Portuguese territory flood susceptibility index – contribution to a vulnerability index. Nat Hazards Earth Syst Sci, 15(8): 1907–1919
https://doi.org/10.5194/nhess-15-1907-2015
37 M K Jain, U C Kothyari (2000). Estimation of soil erosion and sediment yield using GIS. Hydrol Sci J, 45(5): 771–786
https://doi.org/10.1080/02626660009492376
38 N T Kottegoda, L Natale, E Raiteri (2000). Statistical modelling of daily streamflows using rainfall input and curve number technique. J Hydrol (Amst), 234(3–4): 170–186
https://doi.org/10.1016/S0022-1694(00)00252-3
39 N N Kourgialas, G P Karatzas (2011). Flood management and a GIS modelling method to assess floodhazard areas—A case study. Hydrol Sci J, 56(2): 212–225
https://doi.org/10.1080/02626667.2011.555836
40 Z W Kundzewicz, I Pińskwar, G R Brakenridge (2013). Large floods in Europe, 1985–2009. Hydrol Sci J, 58(1): 1–7
https://doi.org/10.1080/02626667.2012.745082
41 S H Mahmoud, A A Alazba, J Adamowski, A M El-Gindy (2015). GIS methods for sustainable stormwater harvesting and storage using remote sensing for land cover data-location assessment. Environ Monit Assess, 187(9): 598–616
https://doi.org/10.1007/s10661-015-4822-x
42 L Marchi, M Borga, E Preciso, E Gaume (2010). Characterisation of selected extreme flash floods in Europe and implications for flood risk management. J Hydrol (Amst), 394(1–2): 118–133
https://doi.org/10.1016/j.jhydrol.2010.07.017
43 MEWM (2006). Ministry of Environment and Water Management – Report on the effects of flooding and dangerous meteorological phenomena in 2005, implemented measures, actions taken to repair affected units and to diminish or prevent future damages (in Romanian), 40 p, Bucharest, Romania
44 G Minea (2013). Assessment of the flash flood potential of Bâsca River Catchment (Romania) based on physiographic factors. Cent Eur J Geosci, 5(3): 344–353
https://doi.org/10.2478/s13533-012-0137-4
45 I D Moore, R B Grayson, A R Landson (1993).  Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. In Beven K J, Moore I D, eds. Terrain Analysis and Distributed Modelling in Hydrology. Chichester: John Wiley and Sons, 7–34
46 A Mustăţea (2005). Exceptional flash floods on Romanian territory. Genesis and effects (in Romanian). National Institute of Hydrology and Water Mangement, Bucharest, Romania
47 A Musy, C Higy (2011). Hydrology. A Science of Nature. Enfield: CRC Press,Taylor & Francis Group, Science Publishers
48 V Mutihac, M I Stratulat, R M Fechet (2007). Geology of Romania (in Romanian). Didactică şi Pedagogică, Bucharest, Romania
49 NIRDSSAEP (2002). National Institute of Research and Development for Soil Science, Agrochemistry and Environmental Protection – Spatial data regarding the soil types in the study region, Bucharest, Romania
50 D Norbiato, M Borga, Espoti S Degli, E Gaume, S Anquetin (2008). Flash flood warning based on rainfall thresholds and soil moisture conditions: An assessment for gauged and ungauged basins. J Hydrol (Amst), 362(3–4): 274–290
https://doi.org/10.1016/j.jhydrol.2008.08.023
51 K C Patra (2008). Hydrology and water resources engineering. Alpha Science International Ltd, Oxford, U.K.
52 R Perju (2012). Characteristics of floods in Valea Cerbului Catchment. In: Gâştescu P, Lewis W, Breţcan P, eds. Conference Proceedings Water resources and Wetlands, September 14–16, 2012, Tulcea, Romania
53 D Pimentel (2006). Soil erosion: a food and environmental threat. Environ Dev Sustain, 8(1): 119–137
https://doi.org/10.1007/s10668-005-1262-8
54 R Prăvălie, G Bandoc, C Patriche, M Tomescu (2016a). Spatio-temporal trends of mean air temperature during 1961–2009 and impacts on crop (maize) yields in the most important agricultural region of Romania. Stochastic Environ Res Risk Assess, doi: 10.1007/s00477-016-1278-7
55 R Prăvălie, R Costache (2013). The vulnerability of the territorial-administrative units to the hydrological phenomena of risk (Flash-Floods). Case study: the subcarpathian sector of Buzău Catchment. Analele Universității din Oradea–SeriaGeografie, 23(1): 91–98
56 R Prăvălie, L Zaharia, G Bandoc, A Petrişor, O Ionuş, I Mitof (2016b). Hydroclimatic dynamics in southwestern Romania drylands over the past 50 years. J Earth Syst Sci, 125(6): 1255–1271
https://doi.org/10.1007/s12040-016-0730-x
57 J A Reistetter, M Russell (2011). High-resolution land cover datasets, composite curve numbers, and storm water retention in the Tampa Bay, FL region. Appl Geogr, 31(2): 740–747
https://doi.org/10.1016/j.apgeog.2010.12.005
58 Romanian Waters National Administration (RWNA) (2013). Report on a Preliminary Flood Risk Assessment. Bucharest, Romania
59 Romanian Waters National Administration (RWNA) (2014). Hazard and Flood Risk Maps. Bucharest, Romania.
60 A D Roo, J Barredo, C Lavalle, K Bodis, R Bonk (2007). Potential flood hazard and risk mapping at Pan-European scale. In: Peckham R J, Jordan G, eds. Digital Terrain Modelling Development and Applications in a Policy Support Environment. Berlin: Springer Berlin Heidelberg
61 I Sandu, V I Pescaru, I Poiana, A Geicu, I Candea, D Tastea (2008). The Climate of Romania (in Romanian). Bucharest: Romanian Academy Publishing
62 A Shaban, M Khawlie, C Abdallah (2006). Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon. Hydrogeol J, 14(4): 433–443
https://doi.org/10.1007/s10040-005-0437-6
63 A Shaban, M Khawlie, R Bou Kheir, C Abdallah (2001). Assessment of road instability along a typical mountainous road using GIS and aerial photos, Lebanon–eastern Mediterranean. Bull Eng Geol Environ, 60(2): 93–101
https://doi.org/10.1007/s100640000092
64 G Smith (2003). Flash flood potential: determining the hydrologic response of ffmp basins to heavy rain by analyzing their physiographic characteristics. A white paper available from the NWS Colorado Basin River Forecast Center.
65 B D Stocker, R Roth, F Joos, R Spahni, M Steinacher, S Zaehle, L Bouwman, R Xu, I C Prentice (2013). Multiple greenhouse-gas feedbacks from the land biosphere under future climate change scenarios. Nat Clim Chang, 3(7): 666–672
https://doi.org/10.1038/nclimate1864
66 S Teodor, S Mătreaţă (2011). A way of determining how small river basins of somes river are susceptible to flash-floods. Carpath J Earth Environ Sci, 6(1): 89–98
67 UNISDR (2009). United Nations International Strategy for Disaster Reduction – Terminology on Disaster Risk Reduction, Geneva, Switzerland
68 R F Valle Junior, S G P Varandas, L F Sanches Fernandes , F A L Pacheco (2014). Environmental land use conflicts: a threat to soil conservation. Land Use Policy, 41: 172–185
https://doi.org/10.1016/j.landusepol.2014.05.012
69 B Xiao, Q H Wang, J Fan, F P Han, Q H Dai (2011). Application of the SCS-CN model to runoff estimation in a small watershed with high spatial heterogeneity. Pedosphere, 21(6): 738–749
https://doi.org/10.1016/S1002-0160(11)60177-X
70 D F Young, J N Carleton (2006). Implementation of a probabilistic curve number method in the PRZM runoff model. Environ Model Softw, 21(8): 1172–1179
https://doi.org/10.1016/j.envsoft.2005.06.004
71 L Zaharia (2005a). Waters, in Natural Hazards in the Carpathians and Subcarpathians located between Trotuş and Teleajen. In: Ars Docendi, Geographical Study (in Romanian). Ed. Bucharest, Romania, 47–59
72 L Zaharia (2005b). Study on water resources in the Curvature Carpathians and Subcarpathians in order to maximize their use for population supply in the counties adjoining the region (in Romanian). In: "Lucrări şi Rapoarte de Cercetare". Vol. I, Ed. Universităţii Bucureşti, Bucharest, Romania, 137–171
73 L Zaharia, G Beltrando (2007). Variabilité spatiale et temporelle de la pluviométrie dans la région de la Courbure de l’Arc Carpatique : étude par Analyse en Composantes Principales, Revue Roumaine de Géographie, Bucharest, Romania, 175–184
74 L Zaharia, G Beltrando, G Nedelcu, C Boroneant, G Toroimac (2006). Les inondations de 2005 en Roumanie. Actes du XIXeme Colloque International de Climatologie, 6–9 September, Epernay, France, 557–562
75 L Zaharia, R Costache, R Prăvalie, G Minea (2015). Assessment and mapping of flood potential in the Slănic catchment in Romania. J Earth Syst Sci, 124(6): 1311–1324
https://doi.org/10.1007/s12040-015-0608-3
76 L Zaharia, F Grecu, G Toroimac, G Neculau (2011). Sediment transport and river channel dynamics in Romania – Variability and control factors. In: Manning A J, ed. Sediment Transport in Aquatic Environments. InTech, 293–316
https://doi.org/10.5772/21416
77 L Zaharia, G Minea, G Toroimac, R Barbu, I Sârbu (2012). Estimation of the Areas with Accelerated Surface Runoff in the Upper Prahova Watershed (Romanian Carpathians), Balwois, Republic of Macedonia.
78 X Zhan, M L Huang (2004). ArcCN-Runoff: an ArcGIS tool for generating curve number and runoff maps. Environ Model Softw, 19(10): 875–879
https://doi.org/10.1016/j.envsoft.2004.03.001
[1] Wanben WU, Wei WANG, Michael E. Meadows, Xinfeng YAO, Wei PENG. Cloud-based typhoon-derived paddy rice flooding and lodging detection using multi-temporal Sentinel-1&2[J]. Front. Earth Sci., 2019, 13(4): 682-694.
[2] Xiaoting WANG, Zhan’e YIN, Xuan WANG, Pengfei TIAN, Yonghua HUANG. A study on flooding scenario simulation of future extreme precipitation in Shanghai[J]. Front. Earth Sci., 2018, 12(4): 834-845.
[3] Asma AYARI, Huan YANG, Shucheng XIE. Flooding impact on the distribution of microbial tetraether lipids in paddy rice soil in China[J]. Front Earth Sci, 2013, 7(3): 384-394.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed