Statistical modeling of monthly rainfall variability in Soummam watershed of Algeria, between 1967 and 2018

Aieb, Amir; Lefsih, Khalef; Scarpa, Marco; Bonaccorso, Brunella; Cicero, Nicola; Mimeche, Omar; Madani, Khodir

doi:10.1111/nrm.12288

Cited by 6 publications

(5 citation statements)

References 34 publications

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“…Vegetation growth is well‐described by the remotely sensed Normalized Difference Vegetative Index (NDVI), which primarily depends on external climatic factors (Tucker et al, 1985; Ziaeevafaeyan et al, 2018). Precipitation is the dominant factor on the variations of vegetation growth in the arid and semi‐arid areas (Aieb et al, 2020; Song et al, 2018). Therefore, NDVI is highly sensitive to interannual variability of precipitation.…”

Section: Introductionmentioning

confidence: 99%

Multi‐month time‐lag effects of regional vegetation responses to precipitation in arid and semi‐arid grassland: A case study of Hulunbuir, Inner Mongolia

Bai

Feng

et al. 2022

Natural Resource Modeling

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The 16 years of normalized difference vegetation index (NDVI) and precipitation data are used to analyze the time‐lag effects of the growing‐season NDVI response to precipitation at regional scales. This study focuses on the arid and semi‐arid Hulunbuir grassland dominated by perennials in northeast China. The multi‐month time‐lag effects are examined using simple statistical approaches, which can detect the two distinct time‐lags for four subregions with four major land‐cover types. A “positive” time‐lag effect of the growing‐season NDVI response to precipitation is observed at 1‐month (May in the current year) time‐lag and 13‐month (May in the previous year) time‐lag while a “negative” time‐lag effect is observed at 9‐month (September in the previous year) time‐lag. In addition, the prediction results of NDVI based on precipitation indicate that the NDVI prediction model considered the lagged monthly precipitation has good performance. Therefore, revealing the time‐lag effects is very important for accurately predicting the growing‐season NDVI and evaluating the vegetation dynamics.

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Section: Introductionmentioning

confidence: 99%

Multi‐month time‐lag effects of regional vegetation responses to precipitation in arid and semi‐arid grassland: A case study of Hulunbuir, Inner Mongolia

Bai

Feng

et al. 2022

Natural Resource Modeling

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“…The Soummam valley watershed is one of the 17 largest watersheds in Algeria (Aieb et al, 2020). It covers an area of 9125 km 2 and is characterized by an irregular shape delimited mainly by the foothills of the Hodna mountains to the south, the Bouira plateau to the west, the Babors mountain chain to the east, and the Djurdjura mountain range to the North.…”

Section: Study Areamentioning

confidence: 99%

GIS-MCDM Integrated approach for suitable landfill site selection: Case study of the southwestern part of Bejaia Province, Algeria

Bechroune,

Kherrour,

Belaid

et al. 2024

Preprint

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Household waste management in developing countries is a major concern, from production to final disposal, so siting a landfill is a difficult and complex process, requiring the assessment of many factors. In this study, an integrated approach combining Geographic Information System (GIS) and Analytic Hierarchy Process (AHP) was used to select optimal sites for the implementation of a landfill in the south-eastern region of the Bejaia Province. This analysis is based on fourteen factors from different sources, including geomorphological, hydrological, climatic and socio-economic criteria. These spatial data are processed and analyzed in a GIS environment, while the AHP approach has been used to evaluate the importance of each factor in order to determine the weight and combine the selected factors. Finally, a suitability map was prepared by overlay analysis, indicating that the study area is divided into four suitability classes, with areas classified as unsuitable and low suitable representing 4.484% and 28.26% respectively, while 60% is considered moderately suitable and only 0.49% is highly suitable for the construction of a landfill. Based on these results, four potential sites were identified out of a total of thirteen. However, this study underlines the need to take into account social-economic and environmental aspects in the decision-making process to ensure efficient and durable waste management.

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“…[9] obtained the monthly precipitations during 51 years of measurement in 24 stations of Soummam watershed in Algeria and analysed them to describe rainfall trends and aridity state of the area using statistical modeling. According to [9], the results of the p values showed that the Generalized Extreme value, Weibul (3) and logistic distribution laws were more adequate to analyze rainfall frequencies in different parts of the watershed. The diagnostic given by Q-Q plot P-P plot and survival regression curve was used to show the period of wetness and dryness in the northeastern and southwestern part of the watershed respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The diagnostic given by Q-Q plot P-P plot and survival regression curve was used to show the period of wetness and dryness in the northeastern and southwestern part of the watershed respectively. In [9], study given by the De Martonn index was then used to explain the consequences of climate change by a new form of aridity in the watershed between 1994 and 2018.…”

Section: Literature Reviewmentioning

confidence: 99%

“…(i) the annual rainfall series were assembled (ii) the logarithm of the annual rainfall series were calculated as (9) (iii) The mean , standard deviation and skew coefficient of the logarithm were calculated (iv) The logarithm of the rainfall i.e. for each of the several chosen probability level were calculated using the following frequency formula (10) where is the frequency factor and function of probability and skewness coefficient.…”

Section: Hydrological Analysismentioning

confidence: 99%

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Statistical Modeling of Rainfall Distribution in Jos, Plateau State, Nigeria

Nwaigwe

Ogbonna

Achem

2023

AJPAS

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Rainfall is a form of precipitation that occurs when water vapor in the atmosphere condenses into droplets which can no longer be suspended in the air. Flood is as a result of rainfall overflowing onto land. Flood is associated with a lot of negative consequences on the activities of man and animals in general and even threatens their existences. In this study, rainfall data obtained on rainfall occurrence in Jos, Plateau State were described. Five theoretical distributions; Weibull, Log-normal, Gamma, Extreme value type 1 and Log-Pearson type III distributions were fitted to the data. Kolmogorov-Smirnov and Anderson-Darling tests of goodness of fit were used to identify the most appropriate distribution. The Maximum likelihood estimator, Bayesian estimator and Principle of maximum entropy were used to estimate the parameters of the identified distribution. Alkaike information criterion (AIC) was used to compare the estimates of the parameters from the different estimators. The probability of the returning periods and the future amount of rainfall were then predicted. The results obtained show that the distribution is skewed to the left, with median annual rainfall of 2383.5mm and inter-quartile range of 432.4mm.The results obtained also show that the Log-Pearson Type III distribution best fitted the rainfall data with the Bayesian method as the best estimator of the parameters of the distribution. Results on the probability of the returning period show that it decreases as the number of years increases while the amount of rainfall increases as the number of year’s increases.

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Statistical modeling of monthly rainfall variability in Soummam watershed of Algeria, between 1967 and 2018

Cited by 6 publications

References 34 publications

Multi‐month time‐lag effects of regional vegetation responses to precipitation in arid and semi‐arid grassland: A case study of Hulunbuir, Inner Mongolia

Multi‐month time‐lag effects of regional vegetation responses to precipitation in arid and semi‐arid grassland: A case study of Hulunbuir, Inner Mongolia

GIS-MCDM Integrated approach for suitable landfill site selection: Case study of the southwestern part of Bejaia Province, Algeria

Statistical Modeling of Rainfall Distribution in Jos, Plateau State, Nigeria

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