Path analysis of factors influencing household solid waste generation: a case study of Xiamen Island,China

Comprehensive study of the factors influencing household solid waste (HSW) generation is crucial and fundamental for exploring the generation mechanism and forecasting future dynamics of HSW. A case study of Xiamen Island, China was employed to reveal the direct and indirect effects of demographic/socioeconomic factors on solid waste generation at the urban household scale. Based on a face-to-face questionnaire and two-stage survey of solid waste generation, a path analysis model was built. Results showed that the proposed path model exhibited good fit indices. Family size and dinning-at-home rate (DR), whose coefficients were ?0.40 and 0.43, respectively, were the two major factors influencing HSW directly. Moreover, family size, education level, employment rate and age structure played different degrees of indirect effects on HSW generation through respective paths, which should not be ignored. In terms of total effects, coefficients of family size, DR and employment rate were ?0.46, 0.43 and ?0.37, respectively, which were three most dominant factors influencing HSW generation. As for waste composition, organic waste was the most representative of HSW dynamics, and was the most sensitive to impact by the factors studied. Quantitative results of this study have important policy implications for sustainable municipal solid waste management.     

厦门市土地利用及氮负荷变化研究

高强度的人类活动改变了城市土地利用方式和城市内氮素循环,但城市土地利用变化如何影响城市氮负荷时空变化的研究仍缺乏.本研究以厦门市为例,基于物质平衡的城市氮流动估算方法,分析了2005—2010、2010—2015年两个时间段内厦门市土地利用及氮负荷的时空演变特征及土地利用变化对氮负荷的影响.结果表明:2005—2010、2010—2015年期间城市各土地利用类型中工业、居民区及交通用地面积增加最为显著,占总面积的比例从16.9%增加到30.3%,而林地和其他类型面积的比例从53.78%下降至38.01%.大量农林地转变为工业和交通用地,导致单位面积氮负荷强度分别增加了10倍和25倍.城镇居民用地、交通用地等氮排放强度较高的土地利用类型不断扩张,造成城市中活性氮排放增加了2.1倍.同时,土地利用的空间格局也影响着城市氮负荷的空间变化特征,氮排放热点在空间上逐渐向岛外扩张,且强度也随之增加.     

A hybrid procedure for MSW generation forecasting at multiple time scales in Xiamen City,China

Accurate forecasting of municipal solid waste (MSW) generation is crucial and fundamental for the planning, operation and optimization of any MSW management system. Comprehensive information on waste generation for month-scale, medium-term and long-term time scales is especially needed, considering the necessity of MSW management upgrade facing many developing countries. Several existing models are available but of little use in forecasting MSW generation at multiple time scales. The goal of this study is to propose a hybrid model that combines the seasonal autoregressive integrated moving average (SARIMA) model and grey system theory to forecast MSW generation at multiple time scales without needing to consider other variables such as demographics and socioeconomic factors. To demonstrate its applicability, a case study of Xiamen City, China was performed. Results show that the model is robust enough to fit and forecast seasonal and annual dynamics of MSW generation at month-scale, medium- and long-term time scales with the desired accuracy. In the month-scale, MSW generation in Xiamen City will peak at 132.2 thousand tonnes in July 2015 – 1.5 times the volume in July 2010. In the medium term, annual MSW generation will increase to 1518.1 thousand tonnes by 2015 at an average growth rate of 10%. In the long term, a large volume of MSW will be output annually and will increase to 2486.3 thousand tonnes by 2020 – 2.5 times the value for 2010. The hybrid model proposed in this paper can enable decision makers to develop integrated policies and measures for waste management over the long term.     

Toxicity and behavioral response of zebrafish exposed to combined microplastic and bisphenol analogues

Environmental Chemistry Letters - Microplastics and bisphenol analogues are emerging environmental pollutants widely occurring in freshwaters. Harmful effects of microplastics and bisphenols have...     

Integrated toxicity assessment of DEHP and DBP toward aquatic ecosystem based on multiple trophic model assays

Environmental Science and Pollution Research - To comprehensively understand the toxic risks of phthalates to aquatic ecosystems, we examined the acute toxicity of di-(2-ethylhexyl) phthalate...     

基于鱼类生物完整性指数的拒马河北京段河流健康评价

拒马河是北京周边具有独特生物多样性的河流,目前面临很多水生态环境问题.鱼类生物完整性指数(F-IBI)是评价河流生态健康的重要方法.本研究于2018年5月和10月,在拒马河北京段设置9个采样点,利用地笼和刺网进行调查,共获得鱼类样本2001尾,隶属于4目9科.根据采样情况,初步设置了5大类21个初选指标,经过对指标完整性、相关性和取值范围分析,筛选得出6个评价指标:鱼类总物种数(M1)、鲤科占总种数的百分比(M3)、中上层鱼种类数百分比(M9)、杂食性鱼类种类数百分比(M13)、产粘性卵鱼类种类数百分比(M19)和鱼类总个体数(M20),构建了适用于拒马河的F-IBI指标体系,运用该体系对拒马河北京段的河流健康状况进行了评价,并将F-IBI与几个主要水环境参数和拦河坝相关数据进行了相关性分析.研究结果表明,拒马河北京段河流健康整体处于较差水平,F-IBI与水质理化因子无显著相关性,与参数"采样点与上游最近拦河坝的距离"呈显著相关.结果表明,拒马河北京段河流健康指数的关键影响因素不是水质理化因子,可能与拦河坝导致的河流片段化有关.     

城市生活垃圾产量影响因素的路径分析——以厦门市为例

城市生活垃圾产量日益剧增,已成为制约我国城市健康和可持续发展的瓶颈.深入开展城市生活垃圾产生量的影响因素研究有助于揭示垃圾产生机制,把握其动态变化趋势,从而指导生活垃圾可持续管理及调控.因此,以厦门市为例,基于1979-2010年生活垃圾清运量及经济、生活水平、城市发展水平、社会人口学特征、自然等方面的时间序列数据,运用路径分析方法,开展了城市生活垃圾产量影响因素研究.结果表明,所构建的路径分析模型拟合优度很高,相比较简单的相关分析,很好地解释了因素与垃圾产量的因果关系;城市规模、人均可支配收入、城市化率、GDP的直接影响系数分别为0.58(p ＜0.001)、0.55(p＜0.001)、0.52(p ＜0.001)、0.51(p ＜0.001),均大于0.5,说明正影响作用很大;家庭特征直接影响系数为-0.40(p ＜0.001),为较大负影响;GDP通过旅游人次、城市规模通过家庭特征对垃圾产量有间接作用,影响系数分别为0.13(p ＜0.001)、0.31(p＜0.001);各因素总影响系数排序为城市规模(0.89,p＜0.001)＞ GDP(0.64,p ＜0.001)＞人均可支配收入(0.55,p ＜0.001)＞城市化率(0.52,p ＜0.001)＞家庭特征(-0.40,p＜0.001)＞旅游人次(0.19,p＜0.001)＞年均温度(0.09,p ＜0.001);旅游人次影响作用为中等偏弱,温度只引起生活垃圾产量的年内变动而不影响年际变化.     

New cytochrome P450 1B1, 1C1, 2Aa, 2Y3, and 2K genes from Chinese rare minnow (Gobiocypris rarus): Molecular characterization,basal expression and response of rare minnow CYP1s and CYP2s mRNA exposed to the AHR agonist benzo[a]pyrene

Cytochrome P450 (CYP450) genes play an important role in catalyzing oxidative metabolism of toxicants. Recently, CYP1 subfamily were discovered and reported in fish, however, little is known regarding the CYP2 isoforms in fish. In the present study, the cDNA fragments of CYP 1B1 and 1C1 and CYP2Aa, 2Y3, and 2K of rare minnow were cloned and exhibited a high amino acid sequence identity compared with their zebrafish orthologs. Basal expression showed CYP1C1 and CYP 2Aa expression were observed in all eight tissues analyzed (liver, gill, intestine, kidney, spleen, brain, skin, and muscle). CYP 1A, and 1B1 expression was found in all tissues except for muscle and skin. However, CYP 2Y3 was expressed in liver, spleen, intestine and muscle whereas CYP 2 K in liver, kidney and intestine. 4 and 100 μg L⁻¹ Benzo[a]pyrene (BaP) induced patterns showed that CYP 1A, 1B1 and 1C1 expression in liver, gill, and intestine was strongly up-regulated (p < 0.05). Furthermore, CYP 2Y3 was strongly induced in liver from BaP treatments (p < 0.05). The high induction on mRNA level of CYP1s and CYP 2Y3 by BaP could be associated with catalyzing detoxification and indicated that CYP2s may also be potential biomarker to screen AHR agonist. The high responsiveness of CYP1 and 2 genes suggested Chinese rare minnow is feasible to screen and assess pollution with AHR agonist.