<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Human migration-induced impacts on noise in GNSS position time series."
Abstract:"The accuracy of (Global Navigation Satellite System) GNSS site coordinates is known have been impacted by human activities, especially for sites located in or near populated or urban areas. A better understanding of these human-originated noise sources would benefit GNSS research and applications. However, much less such studies have elucidated the error sources originated by human-induced environmental and mobility or migration effects, and their respective adverse impacts on GNSS positioning accuracy. Here we investigate the level of human originated noise reduction of GNSS site coordinate time series over mainland China during the ongoing coronavirus (COVID-19) pandemic from two main sources: the reductions of human-generated migration ground vibrations, and electromagnetic signal delays from the orbiting GNSS satellites to ground stations. We processed the GNSS height time series at selected 154 sites located in 110 cities in mainland China from 1 January 2017 to 25 March 2020, including the COVID-19 pandemic time period, to quantify the improved noise levels of GNSS displacement time series, and identified their correlations with the human migrations. We concluded the human-induced signal in continuous GNSS coordinate time series can be used as a real-time metric of regional human activity or migration intensity during COVID-19 episodes.."
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Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

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Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

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Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

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Q1 = [];
Q2 = [];
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Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [2];
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Human migration-induced impacts on noise in GNSS position time series
The accuracy of (Global Navigation Satellite System) GNSS site coordinates is known have been impacted by human activities, especially for sites located in or near populated or urban areas. A better understanding of these human-originated noise sources would benefit GNSS research and applications. However, much less such studies have elucidated the error sources originated by human-induced environmental and mobility or migration effects, and their respective adverse impacts on GNSS positioning accuracy. Here we investigate the level of human originated noise reduction of GNSS site coordinate time series over mainland China during the ongoing coronavirus (COVID-19) pandemic from two main sources: the reductions of human-generated migration ground vibrations, and electromagnetic signal delays from the orbiting GNSS satellites to ground stations. We processed the GNSS height time series at selected 154 sites located in 110 cities in mainland China from 1 January 2017 to 25 March 2020, including the COVID-19 pandemic time period, to quantify the improved noise levels of GNSS displacement time series, and identified their correlations with the human migrations. We concluded the human-induced signal in continuous GNSS coordinate time series can be used as a real-time metric of regional human activity or migration intensity during COVID-19 episodes.