沂蒙山区农户生计变迁及其住宅形态的响应研究

以山东省沂水县3个村（核桃园、高桥、唐家庄子）为例,运用参与式农村评估法（PRA）、对比分析法,剖析沂蒙山区农户生计变迁与其住宅形态功能转型的关系,为农村居民点整治中的新村建设提供决策指导。研究结果表明：1）改革开放前,研究区农户以农业生计为主,修建“平房+庭院”形态住宅,利用庭院种植蔬菜;2）改革开放后,农户生计逐渐多样化和非农化。禽畜养殖成为农户重要的生计来源,农户在住宅内搭建猪圈养猪,在庭院内饲养家禽。高桥农户就地发展非农经济,修建两层楼房,将一层的空间用于非农经营;3）21世纪以来,农户生计进一步非农化和分化。核桃园农户以粮食种植和外出务工为主,将庭院硬化晾晒粮食,改造猪圈为储物间储存粮食和农机具;高桥农户为了扩大非农经营空间修（改）建三层楼房,将一二层用于非农经营;唐家庄子农户到县城非农就业,为改善居住环境修建两层楼房,住宅中用于生产的空间消失。可见：农村住宅形态和功能转型是与农户生计方式变迁相适应的,农村居民点整治中新村建设模式应充分考虑农户生计的实际需求。     

京津冀地区散煤燃烧大气污染物排放清单

为研究京津冀地区民用散煤燃烧大气污染物的排放情况，结合散煤燃烧活动水平与燃用特征，根据排放因子法自下而上建立了2018年京津冀地区民用散煤燃烧污染物排放清单，研究了污染物排放的时空分布特征并使用蒙特卡罗方法对排放清单进行了不确定性分析.结果表明：2018年京津冀地区民用散煤燃烧量共计3799.22万t，PM_2.5、CO、SO₂、NO_x的排放量分别为9.27，341.31，5.17，5.44万t.污染物排放集中在11月份~次年3月份，大多数地区呈现出相同的日排放趋势.8：00、11：00、18：00、21：00左右出现污染物排放峰值，小时排放系数平均值分别为11%，6%，7%，13%.PM_2.5排放高值区主要集中在北部、东部及部分南部地区，CO主要集中在北京和天津地区，SO₂和NO_x主要集中在天津和承德地区.     

Factors affecting the variability of household water use in Melbourne,Australia

This study investigates the variability of household water use in Melbourne with the aim of improving the current understanding of factors affecting residential water use. This understanding is critical to predicting household water demand, particularly at an appropriate spatial and temporal resolution to support Integrated Urban Water Management based planning and to improve the understanding on how different household water demands respond to demand management strategies. The study used two sets of data each collected from 837 households under significantly different water use conditions in the years 2003 and 2011. Data from each household consist of the household characteristics and quarterly metre readings. Ordinary Least Square regression analysis followed by detailed analysis of each factor was used to identify key factors affecting household water use. The variables studied are household size, typology of dwelling, appliance efficiency, presence of children under 12 years, presence of children aged between 12 and 18 years, tenancy, dwelling age, presence of swimming pool, evaporative cooler, and dishwasher. All of them except presence of children aged between 12 and 18 years, tenancy and dwelling age were identified as variables that contribute to the variability of household water use in Melbourne. The study also found that the explanatory capacity of these variables increases with decreasing water use. This paper also discusses the significance of the explanatory variables, their impact and how they vary over the seasons and years. The variables found in this study can be used to inform improved prediction and modelling of residential water demand. The paper also explores other possible drivers to explain residential water use in light of the moderate explanatory capacity of the variables selected for this study thus, provides useful insights into future research into water demand modelling.