In this paper, we study the relationship between the covariability of the Indian summer monsoon (ISM) and East Asian summer monsoon (EASM) and the rainy season precipitation anomaly in the Mekong River basin (MRB) using ERA-Interim reanalysis data and precipitation from the Climate Hazards Group Infrared Precipitation station for 1981-2016. The results indicate that the interannual variability of the rainy season precipitation in the MRB is significantly modulated by the ISM and EASM covariability. Herein, the ISM mainly influences the rainy season precipitation west of the MRB, and the EASM mainly influences the rainy season precipitation over the southeastern MRB. When the Bay of Bengal (BOB) and South China Sea (SCS) are dominated by positive anomalies of diabatic heating associated with a stronger ISM and EASM, the anomalous westerly winds in the BOB and significantly anomalous easterly winds in the SCS, which carry more warm-wet air, induce a stronger than normal convergence and upward motion in the MRB. This results in much heavier rainy season precipitation in the MRB. Model runs with a linear baroclinic model confirm the observational analysis results.

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This article aims to build a hedonic price model of the research region by making a summary of relevant research in this field, and taking the running Line 1 of Chengdu Metro as an example. To be specific, the research discusses the influence of Line 1 of Chengdu Metro on surrounding residential prices taking samples of the estates within 2 km of Line 1 within a spatiotemporal perspective. The results shows that: after the operation of Line 1 (from July in 2010 to June in 2011), the growth rate of the residential prices has been increased by 5.89%, 9.44%, 12.45% and 11.03% from 1st ring to the third ring respectively, reaching at an average rising rate of 9.51%. Besides, the residential prices far away from the downtown area were more likely to be found ahead than those around the city center and represented a far more sensitivity to the metro operation. By quantitative calculating, it finds that: regions that are closer to subway stations per meter from 1st ring to the third, the residential prices increased 0.91 Yuan/m 2 , 1.16 Yuan/m 2 and 1.21 Yuan/m 2 , respectively. At the same time, Line 1 of Chengdu Metro has been increased a total number of 7.814 billion Yuan up to now of surrounding residential value.