Spatial prediction of the runoff coefficient in Southern Peninsular Italy for the index flood estimation

Giudice, Giuseppe Del; Padulano, Roberta; Rasulo, Giacomo

doi:10.2166/nh.2013.243

Cited by 13 publications

(9 citation statements)

References 35 publications

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“…The proposed approach highlights another complementary aspect related to the estimation of annual runoff along slope areas, which is particularly relevant for the management of surficial water resources. The calculated mean ARC values varying from 36 to 50 % can be approximately compared with those determined for Dinaric karst aquifers (Horvat and Rubinic, 2006) and some river basins of southern continental Italy (Del Giudice et al, 2013).…”

Section: Discussionmentioning

confidence: 77%

Estimating annual groundwater recharge coefficient for karst aquifers of the southern Apennines (Italy)

Allocca

Manna

Vita

2014

Hydrol. Earth Syst. Sci.

102

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Abstract.To assess the mean annual groundwater recharge of the karst aquifers in the southern Apennines (Italy), the estimation of the mean annual groundwater recharge coefficient (AGRC) was conducted by means of an integrated approach based on hydrogeological, hydrological, geomorphological, land use and soil cover analyses. Starting from the hydrological budget equation, the coefficient was conceived as the ratio between the net groundwater outflow and the precipitation minus actual evapotranspiration (P − ETR) for a karst aquifer. A large part of the southern Apennines, which is covered by a meteorological network containing 40 principal karst aquifers, was studied. Using precipitation and air temperature time series gathered through monitoring stations operating in the period 1926-2012, the mean annual P − ETR was estimated, and its distribution was modelled at a regional scale by considering the orographic barrier and rain shadow effects of the Apennine chain, as well as the altitudinal control. Four sample karst aquifers with available long spring discharge time series were identified for estimating the AGRC. The resulting values were correlated with other parameters that control groundwater recharge, such as the extension of outcropping karst rocks, morphological settings, land use and covering soil type. A multiple linear regression between the AGRC, lithology and the summit plateau and endorheic areas was found. This empirical model was used to assess the AGRC and mean annual groundwater recharge in other regional karst aquifers. The coefficient was calculated as ranging between 50 and 79 %, thus being comparable with other similar estimations carried out for karst aquifers of European and Mediterranean countries. The mean annual groundwater recharge for karst aquifers of the southern Apennines was assessed by these characterizations and validated by a comparison with available groundwater outflow measurements.These results represent a deeper understanding of an aspect of groundwater hydrology in karst aquifers which is fundamental for the formulation of appropriate management models of groundwater resources at a regional scale, also taking into account mitigation strategies for climate change impacts. Finally, the proposed hydrological characterizations are also supposed to be useful for the assessment of mean annual runoff over carbonate mountains, which is another important topic concerning water management in the southern Apennines.

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Section: Discussionmentioning

confidence: 77%

Estimating annual groundwater recharge coefficient for karst aquifers of the southern Apennines (Italy)

Allocca

Manna

Vita

2014

Hydrol. Earth Syst. Sci.

102

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“…Wang et al [50] developed a modified rational method for arid-region runoff estimation. Del Giudice et al [51] analyzed the spatial prediction of the runoff coefficient for flood index estimation and compared it with the rational method in Peninsular Italy.…”

Section: Modified Rational Methodsmentioning

confidence: 99%

Integrated Hydrological-Hydraulic Model for Flood Simulation in Tropical Urban Catchment

et al. 2019

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In recent decades, Malaysia has become one of the world’s most urbanized nations, causing severe flash flooding. Urbanization should meet the population’s needs by increasing the development of paved areas, which has significantly changed the catchment’s hydrological and hydraulic characteristics. Therefore, the frequency of flash flooding in Malaysia’s urban areas has grown year after year. Numerous techniques have been used, including the statistical approach, modeling, and storm design methods, in flood simulation. This research integrated hydrology and hydraulic models to simulate the urban flood events in the Aur River catchment. The primary objective is to determine water level and forecast peak flow based on hydrological assessment in the drainage system using XPSWMM software. The rainfall data for 60 min was used for this study in the hydrological analysis by obtaining an intensity-duration-frequency curve and peak flow value (Q peak). XPSWMM is used to simulate the response of a catchment to rainfall events in which runoff, water depth profile, and outflow hydrograph are obtained. Peak runoff is also obtained from the modified rational method for validation purposes. The proposed method was verified by comparing the result with the standard method. This is essential to identify flash flooding, which can lead to efficient flood mitigation planning and management in the urban catchment. The increase in residential areas results in the alteration of time of concentration, water quantity, and flow rate. Thus, to mitigate present and future problems, the effects of urbanization on water resources and flood should be analyzed.

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“…The i-Tree Hydro model was calibrated to match the regional runoff ratio; no observed data were available for the four study site river basins, so runoff ratios were used. The initial soil parameter values were estimated as blend of hydrologic soil groups B and C, based on work of Del Giudice et al [26] and assigned the texture class silt loam for the i-Tree Hydro simulation. The Del Giudice et al [26] data were also used to estimate the runoff ratio for the river basins.…”

Section: Methodsmentioning

confidence: 99%

“…The initial soil parameter values were estimated as blend of hydrologic soil groups B and C, based on work of Del Giudice et al [26] and assigned the texture class silt loam for the i-Tree Hydro simulation. The Del Giudice et al [26] data were also used to estimate the runoff ratio for the river basins. The calibration exercises resulted in final parameter values for each river basin that were used to estimate the discharge during the 2015 year and the specific date of 11 August 2015.…”

Section: Methodsmentioning

confidence: 99%

Quantifying the environmental impact of pollutant plumes from coastal rivers with remote sensing and river basin modelling

Lega¹,

Endreny²

2016

Int. J. SDP

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Coastal regions contaminated by polluted river water leaving inland river basins can be difficult to monitor due to their size and remoteness, but it is important to quantify the impact of such pollution to manage for coastal sustainability. In this research, we demonstrate how river plumes can be monitored and analysed by a combination of remote sensing and river basin modelling to estimate their spatial, temporal, and water quality characteristics. Our results show that multispectral remote sensing is able to differentiate the water quality characteristics and two-dimensional spatial characteristics between plumes from four discharge locations along the coast of Campania, Italy. Our results also show that river basin modelling, when informed by land cover, land use and wastewater treatment plant (WWTP) data, is able to estimate the plume volume, and pollutant load, attributed to rainfall-runoff and wastewater-discharge for each of the discharges. This research documents a new method for combining remote sensing and watershed modelling to quantify the environmental impact of pollution from coastal rivers.

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Spatial prediction of the runoff coefficient in Southern Peninsular Italy for the index flood estimation

Cited by 13 publications

References 35 publications

Estimating annual groundwater recharge coefficient for karst aquifers of the southern Apennines (Italy)

Estimating annual groundwater recharge coefficient for karst aquifers of the southern Apennines (Italy)

Integrated Hydrological-Hydraulic Model for Flood Simulation in Tropical Urban Catchment

Quantifying the environmental impact of pollutant plumes from coastal rivers with remote sensing and river basin modelling

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