Abstract:Abstract. Water storage in regions with the weather hot and arid or semi-arid such as Iran have many uses. Including these water storage, can be referred to groundwater. Groundwater is one of the sources of sweet waters in the world, and one of the factors is economical and social development. Hence, monitoring its changes in water resources management is of great importance. On the other hand, precipitation is one of the factors directly affecting the water storage level and groundwater level changes. In this… Show more
“…Moshir Panahi et al 52 sowed Iran warmed and precipitation decreased in most region and total water storage depleted from 1986 to 2016. The reason for such drastic water loss could be drought, population growth and economic growth which led to increased demand for limited water resources 20 , 53 , Shamsi and Ghorbani 54 , Moshir Panahi et al 52 , and Abou Zaki et al 51 . Figure 5 Time Series Trend of EWH anomaly Using the Man-Kendall test ( a ), P value ( b ), Theil-Sen slope ( c ).…”
Like many other Middle East countries, Iran has been suffering from severe water shortages over the last two decades, as evidenced by significant decline in surface water and groundwater levels. The observed changes in water storage can be attributed to the mutually reinforcing effects of human activities, climatic variability, and of course the climate change. The objective of this study is to analyze the dependency of atmospheric CO2 increase on the water shortage of Iran, for which we investigate the spatial relationship between water storage change and CO2 concentration using large scale satellite data. We conduct our analysis using water storage change data from GRACE satellite and atmospheric CO2 concentration from GOSAT and SCIAMACHY satellites during 2002–2015. To analyze the long-term behavior of time series we benefit from Mann-Kendal test and for the investigation of the relationship between atmospheric CO2 concentration and total water storage we use Canonical Correlation Analysis (CCA) and Regression model. Our Results show that the water storage change anomaly and CO2 concentration are negatively correlated especially in northern, western, southwest (Khuzestan province), and also southeast (Kerman, Hormozgan, Sistan, and Baluchestan provinces) of Iran. CCA results reveal that in the most of northern regions, the decrease in water storage is significantly influenced by the increase of CO2 concentration. The results further show that precipitation in the highland and peaks does not seem to be influenced by the long and short-term variation in CO2 concentration. Besides, our results show that the CO2 concentration is slightly correlated with a weak positive trend in evapotranspiration over agricultural areas. Thus, the indirect effect of CO2 on increasing evapotranspiration is observed spatially in the whole of Iran. The results of the regression model between total water storage change and carbon dioxide (R2 = 0.91)/water discharge/water consumption show that carbon dioxide has the highest effect on total water storage change at large scale. The results of this study will contribute to both water resource management and mitigation plans to achieve the goal of CO2 emission reduction.
“…Moshir Panahi et al 52 sowed Iran warmed and precipitation decreased in most region and total water storage depleted from 1986 to 2016. The reason for such drastic water loss could be drought, population growth and economic growth which led to increased demand for limited water resources 20 , 53 , Shamsi and Ghorbani 54 , Moshir Panahi et al 52 , and Abou Zaki et al 51 . Figure 5 Time Series Trend of EWH anomaly Using the Man-Kendall test ( a ), P value ( b ), Theil-Sen slope ( c ).…”
Like many other Middle East countries, Iran has been suffering from severe water shortages over the last two decades, as evidenced by significant decline in surface water and groundwater levels. The observed changes in water storage can be attributed to the mutually reinforcing effects of human activities, climatic variability, and of course the climate change. The objective of this study is to analyze the dependency of atmospheric CO2 increase on the water shortage of Iran, for which we investigate the spatial relationship between water storage change and CO2 concentration using large scale satellite data. We conduct our analysis using water storage change data from GRACE satellite and atmospheric CO2 concentration from GOSAT and SCIAMACHY satellites during 2002–2015. To analyze the long-term behavior of time series we benefit from Mann-Kendal test and for the investigation of the relationship between atmospheric CO2 concentration and total water storage we use Canonical Correlation Analysis (CCA) and Regression model. Our Results show that the water storage change anomaly and CO2 concentration are negatively correlated especially in northern, western, southwest (Khuzestan province), and also southeast (Kerman, Hormozgan, Sistan, and Baluchestan provinces) of Iran. CCA results reveal that in the most of northern regions, the decrease in water storage is significantly influenced by the increase of CO2 concentration. The results further show that precipitation in the highland and peaks does not seem to be influenced by the long and short-term variation in CO2 concentration. Besides, our results show that the CO2 concentration is slightly correlated with a weak positive trend in evapotranspiration over agricultural areas. Thus, the indirect effect of CO2 on increasing evapotranspiration is observed spatially in the whole of Iran. The results of the regression model between total water storage change and carbon dioxide (R2 = 0.91)/water discharge/water consumption show that carbon dioxide has the highest effect on total water storage change at large scale. The results of this study will contribute to both water resource management and mitigation plans to achieve the goal of CO2 emission reduction.
“…A plataforma GEE não necessita de grande poder de processamento ou software muito complexo, o que permite a pesquisadores com poucos recursos, em países de terceiro mundo, terem a mesma capacidade de realizar análises que países desenvolvidos [Kumar and Mutanga 2019]. [Shami and Ghorbani 2019] investigaram e avaliaram a complementaridade dos dados do Landsat, Sentinel-2 e do Sentinel-1 em um ambiente no deserto de Imlili Sebkha. Os autores destacam a potencial aplicação do GEE no processamento de grandes quantidades de dados de satélite para observação de cavidades deágua salgada permanentes, umidas/secas, espaciais-temporais, livres e de longo prazo, além do monitoramento de umidade de Imlili Sebkha.…”
Section: Figura 1 Plataforma Geeunclassified
“…[ Shami and Ghorbani 2019] analisaram o armazenamento deágua superficial e subterrânea na região do Irã que tem clima quente eárido. Os autores analisaram o armazenamento deágua a partir dos dados do satélite GRACE e a precipitação anual total por meio do CHIRPS no GEE no período de 2003 a 2017.…”
Os recursos e serviços hídricos estão diretamente ligados ao crescimento econômico e à sustentabilidade ambiental. Devido a isso, é importante aperfeiçoarmos a coleta, a análise e a percepção dos processos físicos da água. O objetivo deste trabalho é identificar e avaliar como a plataforma Google Earth Engine pode auxiliar no contexto de análise de dados em recursos hídricos. O GEE integra as tecnologias presentes em sistemas de informação geográficas, tornando-a interessante para o desenvolvimento de aplicações voltadas para os recursos naturais. O estudo de caso desta pesquisa foi aplicado no gerenciamento de recursos hídricos da bacia hidrográfica da Lagoa Mirim e Canal São Gonçalo. Os dados disponibilizados são uma ferramenta poderosa para o Comitê de Gerenciamento das Bacias Hidrográficas, que pode entender e analisar esta região.
“…No trabalho de [Shami and Ghorbani 2019] investigou-se o armazenamento de água superficial e subterrânea na região do Irã que tem clima quente e árido. Os autores analisaram o armazenamento de água a partir dos dados do satélite GRACE (do inglês, Gravity Recovery and Climate Experiment) e a precipitação anual total por meio do CHIRPS (do inglês, Climate Hazards Group InfraRed Precipitation with Station Data) no GEE no período de 2003 a 2017.…”
Os recursos e serviços hídricos desempenham um papel crucial no crescimento econômico e na sustentabilidade ambiental. Devido a isso, precisamos melhorar a coleta de dados hidrológicos, sua análise e o entendimento dos processos físicos da água. Este artigo tem como objetivo principal apresentar as funcionalidades da plataforma Google Earth Engine (GEE), tendo como objetivos específicos identificar e avaliar como a plataforma pode auxiliar no contexto de análise de dados em recursos hídricos. O GEE propicia a integração das tecnologias presentes em sistemas de informação geográficas, o que a torna interessante para o desenvolvimento de aplicações no âmbito da área ambiental. Este trabalho tem como estudo de caso o gerenciamento de recursos hídricos da bacia hidrográfica da Lagoa Mirim e Canal São Gonçalo. A análise resultante deste estudo pode auxiliar o Comitê de Gerenciamento das Bacias Hidrográficas na análise de dados das Bacias na região sul do Brasil.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
