<|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:"Geospatial modeling of the impact of sea level rise on coastal communities: application of Richmond, British Columbia, Canada."
Abstract:"Sea Level Rise (SLR) above the Mean Sea Level (MSL) may pose a substantial risk to coastal regions. This research investigates the possible impact of climate change and sea level rise in coastal areas. It locally analyzes the impact of sea level rise on Richmond, British Columbia, Canada. A model of Potentially Inundated Areas, based on a digital elevation model (DEM) was created, manipulated and processed in ArcGIS. Through this model, the impact of sea level rise was assessed on the surface area, residential areas, and a number of buildings, the number of dwellings, road network, and population. After the susceptible areas were delineated, it was estimated that at worst case scenario of 4 m sea level rise will impact Richmond by losing 46 percent of its total surface area, 462 km of road network will be under water, 637 buildings will be affected, 15 Sq. km of residential areas will be under water, and 30,000 houses will be affected. As a result, 89,000 people in the city will be displaced.."
I have six questions you need to answer.
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. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

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. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

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

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [1];
Q3 = [];
Q4 = [14,22];
Q5 = [1];
Q6 = [1].
Geospatial modeling of the impact of sea level rise on coastal communities: application of Richmond, British Columbia, Canada
Sea Level Rise (SLR) above the Mean Sea Level (MSL) may pose a substantial risk to coastal regions. This research investigates the possible impact of climate change and sea level rise in coastal areas. It locally analyzes the impact of sea level rise on Richmond, British Columbia, Canada. A model of Potentially Inundated Areas, based on a digital elevation model (DEM) was created, manipulated and processed in ArcGIS. Through this model, the impact of sea level rise was assessed on the surface area, residential areas, and a number of buildings, the number of dwellings, road network, and population. After the susceptible areas were delineated, it was estimated that at worst case scenario of 4 m sea level rise will impact Richmond by losing 46 percent of its total surface area, 462 km of road network will be under water, 637 buildings will be affected, 15 Sq. km of residential areas will be under water, and 30,000 houses will be affected. As a result, 89,000 people in the city will be displaced.