Models-3/CMAQ and Brute Force method were applied to simulate the ozone pollution and to analyze how meteorological condition influenced the pollution characteristic and the source apportionment of ozone during July 2014 in Baoding. The distribution of ozone concentration in Baoding gradually increased from west to east. In July, the high ozone episode mainly occurred when southern air mass, southeastern air mass and eastern air mass arrived, and the percentages of polluted days were about 28%, 39% and 17%, respectively. During the maximum eight hours of ozone, background and cross regional transmission contributed about half of concentration of surface ozone. As for the regional contribution, Hebei contributed about 2/5 of the surface ozone. Henan contributed about 1/10 as well as Shandong and Jiangsu. The rapid increasing contribution from central Hebei and influences of vertical transportation from Henan and Shandong province leaded to rapid increasing of surface ozone concentration during the daytime in Baoding; most regional contribution changed gently except for central Hebei area, which resulted in high ozone concentration and long duration in the afternoon as well as the single peak diurnal variation.

A newindex of long-termflood impact on sustainability (LFIS) was proposed, considering the multiple impact of flood on the complex social-economic-environmental system. This index extended the current economic loss basedflood risk analysis into a more comprehensive perspective. Rapid assessment approach was applied for the evaluation and ranking of LFIS using 2359 counties/cities of mainland China as mapping units. The mainland China was zonedinto five kinds of regions, classified in terms of different grades of LFIS, i.e. very high, high, medium, low and very low. The spatial characteristics of LFIS were discussed for regional, provincial and urban levels. The results are helpful for the decision-making of integrated sustainable flood prevention, mitigation and recovery.

Rapid assessment approach is applied to the flood hazard and sustainable development in China based on specified multi-layer indicator systems using county level administrative region as mapping units. According to the interrelationships of flood hazard and sustainable development index, a new classification system is used to map China into four regions. The regional differences of the flood hazard impacts on the sustainable development in these four zones are discussed. Moreover, each zone is further classified into several sub-zones. The characteristics of major and typical counties (cities) are further discussed based on statistics of counties (cities) in different sub-zones.

A Internet Relationship Dependency Inventory (IRDI) was developed for Chinese college students. According to the results of previous researches and the authors' interview, a primary IRDI was made up. The results of 549 college subjects (including 284 males and 265 females) getting from IRDI were applied for exploratory factor analysis (EFA). The second sample (including 421 college students, 253 males and 168 females) results were used for confirmatory factor analysis (CFA). 33 college students did IRDI two times within 5 weeks. Four factors were elicited according to EFA results: dependence, relationship involvement, communication benefits, health internet use. The results of CFA showed the fitness of the sample data to the original fourfactormodel of EFA. The final inventory including 29 items, the reliabilities of the four factors are higher than 0.70 and the testretest reliability is 0.619. The norm of IRDI is supplied. The results suggest that IRDI meets psychometric requirements and can be applied to college students' sample.