scholarly journals Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 627
Author(s):  
Kevin K. W. Cheung ◽  
Aliakbar. A. Rasuly ◽  
Fei Ji ◽  
Lisa T.-C. Chang

In this study; the spatial distribution of the Daily Precipitation Concentration Index (DPCI) has been analyzed inside the Greater Sydney Metropolitan Area (GSMA). Accordingly, the rainfall database from the Australian Bureau of Meteorology archive was utilized after comprehensive quality control. The compiled data contains a set of 41 rainfall stations indicating consistent daily precipitation series from 1950 to 2015. In the analysis of the DPCI across GSMA the techniques of Moran’s Spatial Autocorrelation has been applied. In addition, a cross-covariance method was applied to assess the spatial interdependency between vector-based datasets after performing an Ordinary Kriging interpolation. The results identify four well-recognized intense rainfall development zones: the south coast and topographic areas of the Illawarra district characterized by Tasman Sea coastal regions with DPCI values ranging from 0.61 to 0.63, the western highlands of the Blue Mountains, with values between 0.60 and 0.62, the inland regions, with lowest rainfall concentrations between 0.55 and 0.59, and lastly the districts located inside the GSMA with DPCI ranging 0.60 to 0.61. Such spatial distribution has revealed the rainstorm and severe thunderstorm activity in the area. This study applies the present models to identify the nature and mechanisms underlying the distribution of torrential rains over space within the metropolis of Sydney, and to monitor any changes in the spatial pattern under the warming climate.

2015 ◽  
Vol 15 (3) ◽  
pp. 617-625 ◽  
Author(s):  
A. Benhamrouche ◽  
D. Boucherf ◽  
R. Hamadache ◽  
L. Bendahmane ◽  
J. Martin-Vide ◽  
...  

Abstract. In this paper, the spatial and temporal distribution of the daily precipitation concentration index (CI) in Algeria (south Mediterranean Sea) has been assessed. CI is an index related to the rainfall intensity and erosive capacity; therefore, this index is of great interest for studies on torrential rainfall and floods. Forty-two daily rainfall series based on high-quality and fairly regular rainfall records for the period from 1970 to 2008 were used. The daily precipitation CI results allowed the identification of three climate zones: the northern country, characterized by coastal regions with CI values between 0.59 and 0.63; the highlands, with values between 0.57 and 0.62, except for the region of Biskra (CI = 0.70); and the southern region of the country, with high rainfall concentrations with values between 0.62 and 0.69.


2019 ◽  
pp. 61-70

Distribución espacial del índice de concentración de precipitación diaria en los Andes centrales peruanos: valle del rio Mantaro Spatial distribution of a daily precipitation concentration index in central Andes of Perú: Mantaro river valley Zubieta Ricardo, Saavedra Miguel Instituto Geofísico del Perú, Calle Badajoz 169 IV Etapa, Mayorazgo, Ate. Lima 03, Perú Universidad Nacional Agraria la Molina, Av. La Molina s/n La Molina, Lima 03, Perú DOI: https://doi.org/10.33017/RevECIPeru2012.0022/ Resumen Los altos porcentajes de concentración de precipitación diaria en pocos días, pueden incrementar potencial de erosión, inestabilidad de laderas y riesgo de inundaciones, siendo estos problemas comunes en el Perú. Por lo que es importante el conocimiento acerca de la precipitación a nivel diario. En este articulo, ha sido llevado a cabo una investigación acerca de los patrones espaciales y temporales de la concentración de precipitación diaria en los Andes centrales del Perú, mediante el índice de concentración (IC), que evalúa la variación de la valoración de precipitación diaria, la contribución de grandes lluvias a la cantidad total presentada. El índice es aplicado a una curva exponencial como Y = aX exp(bX ) , el cual ajusta el porcentaje acumulado de precipitación en Y contribuida por el porcentaje acumulado de días X llevado a cabo en un lugar, en el periodo 1964-2004, con el cual es posible generar superficies de concentración pluviométrica. Donde las máximas concentraciones registradas en el valle del rio Mantaro, posiblemente estén asociadas a la dinámica de los vientos, como la corriente de chorro de Sudamérica, que se adentran al valle proveniente del Norte y Sur. Donde el 25% de días más lluviosos representan el 60% o más de la cantidad total de días con lluvia. Descriptores: índice de concentración, precipitación diaria; curva exponencial; valle del rio Mantaro. Abstract High percentages of the yearly total precipitation concentration in a few very rainy days can increase the potential of erosion, slope instability and risks of floods, these problems are common in Peru. So it is important to know about the daily precipitation. In this paper, an investigation of the spatial and temporal patterns of daily precipitation concentration, in central Andes of Perú, by Concentration index (CI) that evaluates the varying weight of daily precipitation, the contribution of the days of greatest rainfall to the total amount, is presented. The index is applied to exponential curves such as Y = aX exp(bX), which adjust the accumulated percentages of precipitation Y contributed by the accumulated percentage of days X on which it took place, in the period 1964-2004, with which it is possible to generate concentration surfaces daily pluviometric. The highest concentrations recorded in the Mantaro river valley, may be associated with the dynamics of the winds as the jet stream in South America, leading into the valley from the north and south, where 25% of rainy days account for 60% or more of the total number of days with rain. Keywords: concentration index; daily precipitation; exponential curves; Mantaro river valley.


2014 ◽  
Vol 2 (4) ◽  
pp. 2709-2729 ◽  
Author(s):  
D. Boucherf ◽  
A. Benhamrouche ◽  
R. Hamadache ◽  
L. Bendahmane ◽  
J. Martin-Vide ◽  
...  

Abstract. In this paper, the spatial and temporal distribution of the daily precipitation concentration index (CI) in Algeria (South Mediterranean Sea) has been assessed. Forty-two daily rainfall series based on high quality and fairly regular rainfall records for the period from 1970 to 2008 were used. The daily precipitation concentration index results allowed identifying three climatic zones: the northern country, characterized by coastal regions with CI values between 0.59 and 0.63, the highlands, with values between 0.57 and 0.62 (average of 0.61), except for the area of Biskra (CI = 0.70), and the southern region of the country, with high rainfall concentrations, with values between 0.62 and 0.69. CI is an index related to the rainfall intensity and erosive capacity; therefore, this index has great interest for studies on torrential rainfall and floods.


2017 ◽  
Vol 43 (1) ◽  
pp. 255 ◽  
Author(s):  
P. Máyer ◽  
M.V. Marzol ◽  
J.M. Parreño

This paper pursues two objectives: first, to determine the trends of seasonal and annual precipitation in the Canary Islands and, second, to identify trends in the daily precipitation concentration index (CI). For the first objective, we used data from 1970-2013 of 23 rainfall stations located on different islands, after verifying the homogeneity of their series. For the second, the sample was reduced to eleven series since deficiencies in data records of less than 1 mm of daily precipitation were appreciated. We used the nonparametric Mann-Kendall test to determine whether the series showed linear trends in annual and seasonal precipitation and in the values of CI. The seasonal results showed negative trends in spring and winter in almost all the time series considered, especially in the north of Gran Canaria and Tenerife. Conversely, 78% of the series in autumn recorded an increase in the precipitation. The annual balance indicated a decline of rainfall in most of the locations, because of the high concentration of precipitation in winter. Finally, the majority of the time series exhibited a trend toward a greater concentration of daily rainfall, in particular those series located in areas where the main towns are settled, which is an important issue to consider because of severe flooding and other geomorphological processes.


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