Assessment of centennial (1918–2019) drought  features in the Campania region by historical  in situ measurements (southern Italy)

Longobardi, Antonia; Boulariah, Ouafik; Villani, Paolo

doi:10.5194/nhess-21-2181-2021

Cited by 5 publications

(5 citation statements)

References 52 publications

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“…Overall, the longest duration of the ponding or dry-bed periods was observed in the year 2016/2017 for all the reaches studied. This longer duration is also reflected by the drought analysis conducted in Campania by Longobardi et al 22 , which showed that a severe drought period occurred in 2017. The year with the shortest NF duration is the year 2017/2018 for S1, M1, M2, M3, while for L1 reach the years 2017/2018 and 2018/2019 have a similar duration of NF period, with the latter slightly shorter.…”

Section: Resultsmentioning

confidence: 78%

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Exploiting Sentinel-2 dataset to assess flow intermittency in non-perennial rivers

Cavallo

Papa

Negro

et al. 2022

Sci Rep

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Knowledge about the frequency and duration of each flowing status of non-perennial rivers is severely limited by the small number of streamflow gauges and reliable prediction of surface water presence by hydrological models. In this study, multispectral Sentinel-2 images were used to detect and monitor changes in water surface presence along three non-perennial Mediterranean rivers located in southern Italy. Examining the reflectance values of water, sediment and vegetation covers, the bands in which these classes are most differentiated were identified. It emerged that the false-color composition of the Sentinel-2 bands SWIR, NIR and RED allows water surfaces to be clearly distinguished from the other components of the river corridor. From the false-color composite images, it was possible to identify the three distinct flowing status of non-perennial rivers: “flowing” (F), “ponding” (P) and “dry” (D). The results were compared with field data and very high-resolution images. The flowing status was identified for all archive images not affected by cloud cover. The obtained dataset allowed to train Random Forest (RF) models able to fill temporal gaps between satellite images, and predict the occurrence of one of the three flowing status (F/P/D) on a daily scale. The most important predictors of the RF models were the cumulative rainfall and air temperature data before the date of satellite image acquisition. The performances of RF models were very high, with total accuracy of 0.82–0.97 and true skill statistic of 0.64–0.95. The annual non-flowing period (phases P and D) of the monitored rivers was assessed in range 5 to 192 days depending on the river reach. Due to the easy-to-use algorithm and the global, freely available satellite imagery, this innovative technique has large application potential to describe flowing status of non-perennial rivers and estimate frequency and duration of surface water presence.

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Section: Resultsmentioning

confidence: 78%

“…The climate is characterized by a wet season from September to May, the rainiest month is November with an average of around 90 mm, the driest month is July with an average of around 10 mm. The total annual average is around 1553 mm 22 . While, considering only the period of observation (2015–2021) it was on average 1300 mm.…”

Section: Case Studymentioning

confidence: 99%

Exploiting Sentinel-2 dataset to assess flow intermittency in non-perennial rivers

Cavallo

Papa

Negro

et al. 2022

Sci Rep

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“…However, the SRI series are autocorrelated, which influences the significance of the test results. The modified Mann-Kendall (MMK) trend test method can eliminate the autocorrelation components in the sequence and improves the testing ability of the M-K method (Hamed and Rao, 1998;Longobardi et al, 2021). Therefore, this paper adopted the MMK method to investigate the trend characteristics of hydrological drought in the HRB during 1967-2019 with the significance level of 0.05 and the corresponding |U | = 1.96.…”

Section: The Modified Mann-kendall Trend Test Methodsmentioning

confidence: 99%

“…Therefore, this paper adopted the MMK method to investigate the trend characteristics of hydrological drought in the HRB during 1967-2019 with the significance level of 0.05 and the corresponding |U | = 1.96. The calculation procedure of the MMK method was described in Longobardi et al (2021).…”

Section: The Modified Mann-kendall Trend Test Methodsmentioning

confidence: 99%

Spatiotemporal evolution and meteorological triggering conditions of hydrological drought in the Hun River basin, NE China

Yue

Sheng

Yang

2022

Nat. Hazards Earth Syst. Sci.

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Abstract. The change of climate and environmental conditions has obviously affected the evolution and propagation of drought in river basins. The Hun River basin (HRB) is a region seriously troubled by drought in China, so it is particularly urgent to evaluate the evolution of hydrological drought and investigate the threshold of triggering hydrological drought in the HRB. In this study, the standardized runoff index (SRI) was applied to reveal the evolution characteristics of hydrological drought. Meanwhile, based on drought duration and severity identified by the run theory, the copula function with the highest goodness of fit was selected to calculate the return period of hydrological drought. Furthermore, the propagation time from meteorological to hydrological drought was determined by calculating the Pearson correlation coefficients between 1-month SRI and multi-timescale standardized precipitation index (SPI). Finally, based on the improvement of the drought propagation model, the drought propagation thresholds for triggering different scenarios of hydrological drought and its potential influence factors were investigated. The results show that (1) the hydrological drought showed a gradually strengthened trend from downstream to upstream of the HRB from 1967 to 2019; (2) downstream of the HRB were districts vulnerable to hydrological drought with longer drought duration and higher severity; (3) the most severe drought with drought duration of 23 months and severity of 28.7 had corresponding return periods that exceed the thresholds of both duration and severity of 371 and 89 years, respectively; (4) the propagation time from meteorological to hydrological drought downstream of reservoir has been significantly prolonged; and (5) the drought propagation threshold downstream of the HRB was remarkably higher than that upstream in all drought scenarios. Additionally, midstream showed the highest drought propagation threshold at moderate and severe drought scenarios, while downstream showed the highest drought propagation threshold in the extreme drought scenario.

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“…In the outlined context of scarcity of empirical regionalscale studies based on historical observations, the current work aims to illustrate the results in terms of inter-annual precipitation variability for a specific area, located in the Mediterranean basin. The study area is a 25,000 km 2 region located in Southern Italy and was already analyzed in the past for a climatological characterization (Longobardi and Villani 2010;Califano et al 2015;Longobardi and Mautone 2015;Longobardi et al 2016;Fattoruso et al 2017;Longobardi et al 2021). The annual precipitation in the region appeared to show a general negative trend, which was however statistically significant for only a limited number of rain gauge stations.…”

Section: Introductionmentioning

confidence: 99%

Long-term regional changes in inter-annual precipitation variability in the Campania Region, Southern Italy

Longobardi

Boulariah

2022

Theor Appl Climatol

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Precipitation variability in space and time has been a focus of research over the past decades. The largest body of literature was essentially focused on long-term changes in average climates and in climate extremes. Analyses of the changes in the inter-annual climate variability (the year-to-year variability), which represent an index of climatic risk, received instead very less attention, but it represents an important issue in order to quantitatively measure the socioeconomic impact of climate change impact over water resources. In order to depict a general characterization of the long-term climate variability for the Campania region, located in Southern Italy within the Mediterranean basin, an analysis of the precipitation coefficient of variation, assumed as an index of inter-annual climate variability, was performed over the period 1918–2015 and compared with the annual precipitation regime and the intra-annual precipitation variability of the same region. The Mann–Kendall and the modified Mann–Kendall tests were applied to detect the sign and significance of the temporal changes and Sen’s test was applied to quantify the temporal changes in inter-annual variability. The results illustrated a generalized condition (73% of total stations) of statistically significant increase of inter-annual variability distributed almost over the whole analyzed area, even though the detected change appeared rather moderate in magnitude. The relationship between annual precipitation, intra-annual precipitation variability, and inter-annual precipitation variability was not clearly identified for the studied region, likely because of the characteristics of climatic homogeneity for the area under investigation. However, the comparative analyzes clearly showed how, if the variations in the annual precipitation regime and in the intra-annual precipitation variability are poorly significant (respectively for 9% and 11% of total station), changes in inter-annual precipitation variability are strongly marked over the studied region.

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Assessment of centennial (1918–2019) drought features in the Campania region by historical in situ measurements (southern Italy)

Cited by 5 publications

References 52 publications

Exploiting Sentinel-2 dataset to assess flow intermittency in non-perennial rivers

Exploiting Sentinel-2 dataset to assess flow intermittency in non-perennial rivers

Spatiotemporal evolution and meteorological triggering conditions of hydrological drought in the Hun River basin, NE China

Long-term regional changes in inter-annual precipitation variability in the Campania Region, Southern Italy

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