Mann–Kendall trend analysis of tropospheric ozone and its modeling using ARIMA

Chattopadhyay, Goutami; Chakraborthy, Parthasarathi; Chattopadhyay, Surajit

doi:10.1007/s00704-012-0617-y

Cited by 52 publications

(30 citation statements)

References 52 publications

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“…For the Mann-Kendall non-parametric test method, the advantage is that the data series does not require normality. This method is widely applied in trend studies of climate data and vegetation data [51,52]. The significance level was assessed at p < 0.05.…”

Section: Trend Analysis Correlation Analysis and Regression Model Ementioning

confidence: 99%

Assessing the Response of Ecosystem Water Use Efficiency to Drought During and after Drought Events across Central Asia

Zou

Ding

Welp

et al. 2020

Sensors

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The frequency and intensity of drought are expected to increase worldwide in the future. However, it is still unclear how ecosystems respond to drought. Ecosystem water use efficiency (WUE) is an essential ecological index used to measure the global carbon–water cycles, and is defined as the carbon absorbed per unit of water lost by the ecosystem. In this study, we applied gross primary productivity (GPP), evapotranspiration (ET), land surface temperature (LST), and normalized difference vegetation index (NDVI) data to calculate the WUE and drought index (temperature vegetation dryness index (TVDI)), all of which were retrieved from moderate resolution imaging spectroradiometer (MODIS) data. We compared the mean WUE across different vegetation types, drought classifications, and countries. The temporal and spatial changes in WUE and drought were analyzed. The correlation between drought and WUE was calculated and compared across different vegetation types, and the differences in WUE between drought and post-drought periods were compared. The results showed that (1) ecosystems with a low (high) productivity had a high (low) WUE, and the mean ecosystem WUE of Central Asia showed vast differences across various drought levels, countries, and vegetation types. (2) The WUE in Central Asia exhibited an increasing trend from 2000 to 2014, and Central Asia experienced both drought (from 2000 to 2010) and post-drought (from 2011 to 2014) periods. (3) The WUE showed a negative correlation with drought during the drought period, and an obvious drought legacy effect was found, in which severe drought affected the ecosystem WUE over the following two years, while a positive correlation between WUE and drought was found in the post-drought period. (4) A significant increase in ecosystem WUE was found after drought, which revealed that arid ecosystems exhibit high resilience to drought stress. Our results can provide a specific reference for understanding how ecosystems will respond to climate change.

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Section: Trend Analysis Correlation Analysis and Regression Model Ementioning

confidence: 99%

Assessing the Response of Ecosystem Water Use Efficiency to Drought During and after Drought Events across Central Asia

Zou

Ding

Welp

et al. 2020

Sensors

View full text Add to dashboard Cite

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“…A large number of studies have frequently applied the nonparametric Mann-Kendall (MK) statistical test and linear regression to detect trends in recorded hydrologic time series, such as water quality, streamflow, and precipitation time series [20][21][22][23]. Most of the previous studies have focused on the temporal and spatial distribution changes of temperature, precipitation, and runoff, and have not discussed their mutual relationships or analyzed their sensitivity to climate change and human activities.…”

Section: Introductionmentioning

confidence: 99%

Historical Trends in Air Temperature, Precipitation, and Runoff of a Plateau Inland River Watershed in North China

Zhang

Gao

Wang

et al. 2019

Water

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Understanding historical trends in temperature, precipitation, and runoff is important but incomplete for developing adaptive measures to climate change to sustain fragile ecosystems in cold and arid regions, including the Balagaer River watershed on the Mongolian Plateau of northeast China. The objective of this study was to detect such trends in this watershed from 1959 to 2017. The detection was accomplished using a Mann-Kendall sudden change approach at annual and seasonal time scales. The results indicated that the abrupt changes in temperature preceded that in either runoff or precipitation; these abrupt changes occurred between 1970 and 2004. Significant (α = 0.05) warming trends were found at the minimum temperatures in spring (0.041 °C a−1), summer (0.037 °C a−1), fall (0.027 °C a−1), and winter (0.031 °C a−1). In contrast, significant decreasing trends were found in the precipitation (−1.27 mm a−1) and runoff (−0.069 mm a−1) in the summer. Marginally increasing trends were found in the precipitation in spring (0.18 mm a−1) and fall (0.032 mm a−1), whereas an insignificant decreasing trend was found in the runoffs in these two seasons. Both precipitation and runoff in the wet season exhibited a significant decreasing trend, whereas in the dry season, they exhibited a marginally increasing trend. Sudden changes in spring runoff and sudden rises in temperature are the main causes of sudden changes in basin rainfall.

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“…These pollutants are mainly emitted by industrial and agricultural activities as well as by the transport sector and, beyond their effects on human health and ecosystems, they contribute to the deterioration of cultural monuments both on the local scale and over long distances (Köhler et al, 2001;Ondov et al, 2006;Ebel et al, 2007;Tzanis et al, 2009b;Jacovides et al, 1994;Varotsos et al, , 2012Varotsos et al, , 2014Chattopadhyay et al, 2012;Krapivin and Shutko, 2012;Merlaud et al, 2012;Cracknell and Varotsos, 1994, 1995Xue et al, 2014;Monks et al, 2015;Efstathiou and Varotsos, 2010. The world's cultural heritage is very diverse and costly to maintain.…”

Section: Introductionmentioning

confidence: 99%

“…The corrosion is mainly caused by chemical reactions on the material surface involving air pollutants (e.g., SO 2 , NO x and O 3 ), while soiling is principally depicted as loss of reflectance (Watt et al, 2008). Concerning the latter, the incorporation of PM 10 concentration into the above-mentioned relationship allows for the generation of empirical dose-response functions for soiling (Brimblecombe and Grossi, 2005). The interaction of aerosols and air pollutants is complex (e.g.…”

Section: Introductionmentioning

confidence: 99%

Impacts of air pollution and climate on materials in Athens, Greece

et al. 2017

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Abstract. For more than 10 years now the National and Kapodistrian University of Athens, Greece, has contributed to the UNECE (United Nations Economic Commission for Europe) ICP Materials (International Co-operative Programme on Effects on Materials including Historic and Cultural Monuments) programme for monitoring the corrosion/soiling levels of different kinds of materials due to environmental air-quality parameters. In this paper we present the results obtained from the analysis of observational data that were collected in Athens during the period 2003-2012. According to these results, the corrosion/soiling of the particular exposed materials tends to decrease over the years, except for the case of copper. Based on this long experimental database that is applicable to the multi-pollutant situation in the Athens basin, we present dose-response functions (DRFs) considering that "dose" stands for the air pollutant concentration, "response" for the material mass loss (normally per annum) and "function", the relationship derived by the best statistical fit to the data.

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Mann–Kendall trend analysis of tropospheric ozone and its modeling using ARIMA

Cited by 52 publications

References 52 publications

Assessing the Response of Ecosystem Water Use Efficiency to Drought During and after Drought Events across Central Asia

Assessing the Response of Ecosystem Water Use Efficiency to Drought During and after Drought Events across Central Asia

Historical Trends in Air Temperature, Precipitation, and Runoff of a Plateau Inland River Watershed in North China

Impacts of air pollution and climate on materials in Athens, Greece

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