Spatio-temporal analysis of extreme rainfall and flooding in the semi-arid region of Algeria and its application to the regionalization of flood flow estimates

2017 ◽  
Author(s):  
Fares Belagoune ◽  
Djamel Boutoutaou ◽  
Mehdi Bellout
Keyword(s):  
Arid Region ◽  
Extreme Rainfall ◽  
Temporal Analysis ◽  
Spatio Temporal ◽  
Semi Arid Region ◽  
Flood Flow ◽  
Semi Arid

scholarly journals Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

2020 ◽  
Vol 12 (5) ◽  
pp. 1939 ◽  
Author(s):  
Edith Olmos-Trujillo ◽  
Julián González-Trinidad ◽  
Hugo Júnez-Ferreira ◽  
Anuard Pacheco-Guerrero ◽  
Carlos Bautista-Capetillo ◽  
...  
Keyword(s):  
Arid Region ◽  
Climatic Factors ◽  
Time Lag ◽  
Vegetation Indices ◽  
Climatic Variables ◽  
Semiarid Region ◽  
Linear Regression Models ◽  
Spatio Temporal ◽  
Semi Arid Region ◽  
Semi Arid

In this research, vegetation indices (VIs) were analyzed as indicators of the spatio-temporal variation of vegetation in a semi-arid region. For a better understanding of this dynamic, interactions between vegetation and climate should be studied more widely. To this end, the following methodology was proposed: (1) acquire the NDVI, EVI, SAVI, MSAVI, and NDMI by classification of vegetation and land cover categories in a monthly period from 2014 to 2018; (2) perform a geostatistical analysis of rainfall and temperature; and (3) assess the application of ordinary and uncertainty least squares linear regression models to experimental data from the response of vegetation indices to climatic variables through the BiDASys (bivariate data analysis system) program. The proposed methodology was tested in a semi-arid region of Zacatecas, Mexico. It was found that besides the high values in the indices that indicate good health, the climatic variables that have an impact on the study area should be considered given the close relationship with the vegetation. A better correlation of the NDMI and EVI with rainfall and temperature was found, and similarly, the relationship between VIs and climatic factors showed a general time lag effect. This methodology can be considered in management and conservation plans of natural ecosystems, in the context of climate change and sustainable development policies.

Understanding spatio‐temporal rainfall‐runoff changes in a semi‐arid region.

2020 ◽  
Author(s):  
Santosh K Aryal ◽  
Richard P Silberstein ◽  
Guobin Fu ◽  
Geoff Hodgson ◽  
Stephen P Charles ◽  
...  
Keyword(s):  
Arid Region ◽  
Rainfall Runoff ◽  
Runoff Changes ◽  
Spatio Temporal ◽  
Semi Arid Region ◽  
Semi Arid

Spatio-temporal dynamics of land use changes of an intense anthropized basin in the Brazilian semi-arid region

2021 ◽  
pp. 100646
Author(s):  
Maria da Conceição de Sousa ◽  
Gustavo Vieira Veloso ◽  
Lucas Carvalho Gomes ◽  
Elpidio Inácio Fernandes-Filho ◽  
Teógenes Senna de Oliveira
Keyword(s):  
Land Use ◽  
Arid Region ◽  
Temporal Dynamics ◽  
Land Use Changes ◽  
Spatio Temporal ◽  
Semi Arid Region ◽  
Semi Arid

Spatial and temporal analysis of the drought vulnerability and risks over eight decades in a semi-arid region (Tensift basin: Morocco)

2016 ◽  
Vol 130 (1-2) ◽  
pp. 321-330 ◽  
Author(s):  
Fatima Fniguire ◽  
Nour-Eddine Laftouhi ◽  
Mohamed Elmehdi Saidi ◽  
Zineb Zamrane ◽  
Hicham El Himer ◽  
...  
Keyword(s):  
Arid Region ◽  
Temporal Analysis ◽  
Drought Vulnerability ◽  
Spatial And Temporal Analysis ◽  
Semi Arid Region ◽  
Semi Arid

Spatio-temporal monitoring of soil and plant indicators under forage cactus cultivation by geoprocessing in Brazilian semi-arid region

2021 ◽  
Vol 107 ◽  
pp. 103155
Author(s):  
Marcos Vinícius da Silva ◽  
Héliton Pandorfi ◽  
Gledson Luiz Pontes de Almeida ◽  
Renato Paiva de Lima ◽  
Anderson dos Santos ◽  
...  
Keyword(s):  
Arid Region ◽  
Spatio Temporal ◽  
Semi Arid Region ◽  
Semi Arid

Spatio-temporal non-uniformity of urban park greenness and thermal characteristics in a semi-arid region

2018 ◽  
Vol 34 ◽  
pp. 44-54 ◽  
Author(s):  
Iryna Dronova ◽  
Mirit Friedman ◽  
Ian McRae ◽  
Fanhua Kong ◽  
Haiwei Yin
Keyword(s):  
Arid Region ◽  
Thermal Characteristics ◽  
Urban Park ◽  
Spatio Temporal ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals DISTRIBUIÇÃO ESPACIAL DE DESASTRES HIDROMETEREOLÓGICOS NA REGIÃO DO ALTO SERTÃO DA PARAÍBA

2019 ◽  
Vol 21 (2) ◽  
pp. 1387-1396
Author(s):  
Diêgo Alan Mangueira da Silva ◽  
Natieli Tenório Da Silva ◽  
Marcelo De Oliveira Moura
Keyword(s):  
Natural Disasters ◽  
Arid Region ◽  
Temporal Distribution ◽  
Emergency Situation ◽  
Extreme Rainfall ◽  
Spatial And Temporal Distribution ◽  
Civil Protection ◽  
Semi Arid Region ◽  
Brazilian Northeast ◽  
Semi Arid

A região do Alto Sertão localiza-se no extremo oeste do estado da Paraíba e, por estar localizada no Semiárido brasileiro, possui um regime anual caracterizado com chuvas escassas e irregulares. Contudo, existem registros de desastres hidrometereológicos na região de estudo. Objetiva-se por este trabalho analisar a distribuição espaço-temporal das ocorrências de desastres naturais de ordem hidrometereológica na região do Alto Sertão da Paraíba aos quais almejaram decretos por Situação de Emergência (SE) entre os anos de 2004 e 2009. A respeito dos resultados, observou-se a ocorrência de 65 desastres hidrometereológicos sendo 34 ocorrências do tipo inundação; 14 ocorrências do tipo enxurradas; 12 ocorrências do tipo chuvas intensas; e uma ocorrência do tipo vendaval.Palavras-chave: Semiárido paraibano. Desastres Naturais. Decretos de Reconhecimento. ABSTRACTThe Northeastern Sertão is a high vulnerability area socially and environmentally built. Due to the irregular rains corroborated by extreme rainfall that permeates this region, the Brazilian Northeast is susceptible to hydrometeorological disasters even though it is situated in the semi-arid region where there are few rains during the year. The objective of this article is to analyze the spatial and temporal distribution of the disasters caused by drought, which aimed at decrees by Emergency Situation (ES) and by State of Public Calamity (SPC), between the years of 2003 and 2016, in the region of Alto Sertão da Paraíba. The data of these disasters were found in the site of National System of Civil Protection of Ministry of Integration (MI).Keywords: Paraibano semi-arid. Natural Disasters. Recognition decrees. RESUMEN La región del Alto Sertão se encuentra en el extremo oeste del estado de Paraíba y, al estar ubicada en el semiárido brasileño, tiene un régimen anual caracterizado por lluvias escasas e irregulares. Sin embargo, existen registros de desastres hidrometeológicos en la región de estudio. El objetivo de este trabajo es analizar la distribución espacio-temporal de las ocurrencias de desastres naturales hidrometeerológicos en la región del Alto Sertão da Paraíba a la que solicitaron Decretos por situación de emergencia (SE) entre 2004 y 2009. Con respecto a los resultados, Se observaron 65 desastres hidrometeológicos y 34 eventos de tipo inundación; 14 ocurrencias de tipo escorrentía; 12 ocurrencias del tipo de fuertes lluvias; y una ocurrencia como vendaval.Palabras clave: Paraiban semiárido. Desastres naturales. Decretos de reconocimiento.

Spatio-temporal variation in a seed bank of a semi-arid region in northeastern Brazil

2013 ◽  
Vol 46 ◽  
pp. 25-32 ◽  
Author(s):  
Kleber A. da Silva ◽  
Danielle M. dos Santos ◽  
Josiene M.F.F. dos Santos ◽  
Ulysses P. de Albuquerque ◽  
Elba M.N. Ferraz ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Seed Bank ◽  
Arid Region ◽  
Northeastern Brazil ◽  
Spatio Temporal ◽  
Semi Arid Region ◽  
Semi Arid

Spatial - Temporal Analysis of the Use and Land Cover in the Rio da Cruz Micro Basin of the Semi-arid Region of Paraíba, Using Remote Sensing

2019 ◽  
pp. 1-13
Author(s):  
Denize Monteiro Dos Anjos ◽  
Ivonete Alves Bakke ◽  
Ewerton Medeiros Simões ◽  
Olaf Andreas Bakke ◽  
Diógenes Félix da Silva Costa
Keyword(s):  
Remote Sensing ◽  
Arid Region ◽  
Satellite Images ◽  
Temporal Analysis ◽  
Relevant Information ◽  
Remote Sensing Techniques ◽  
Semi Arid Region ◽  
Bodies Of Water ◽  
Spatial Temporal Analysis ◽  
Semi Arid

The changes that occur in ecosystems are increasingly coming from anthropogenic actions. In microbasins, these changes become more noticeable and can be detected using remote sensing techniques. The Rio da Cruz microbasin, meso-region of Sertão Paraibano. Field visits were made to identify the vegetation cover and forms of land use. Then, satellite images of the three-year rainy and dry periods were used: 2001, 2009 and 2017. The following steps were performed, image processing: pre-processing; processing and post-processing. Seven classes were selected: Arboreal Caatinga, Arboreal Shrub Caatinga, Anthropized Caatinga, Pastures and Agriculture, Rocky Outcrops, Water Bodies and Buildings. The results demonstrated an advance of the antropic action in the areas near the bodies of water. The temporal analysis of the watershed of the River of the Cross allowed to verify the reduction of the Arboreal Caatinga and increase of the Arboreal Shrub Caatinga, Anthropized Caatinga and Pasture and Agriculture areas in the studied years. Remote sensing techniques and knowledge of the microbasin result in relevant information on the use and cover of the land in years of regular precipitation and in conditions of greater precipitation, the arboreal vegetation is overestimated, making it difficult to identify anthropic areas during the rainy season.

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