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农业环境污染问题的经济学分析 总被引:1,自引:0,他引:1
在经济体制改革不断深入和经济高速增长的今天,农业作为中国的基础产业部门也经历着一场巨大的变革--逐步由传统农业向现代农业转变,然而在这一进程中所出现的农业生态环境问题却引起了人们的普遍关注.一方面,社会经济的高速增长和人民生活水平的提高,使得人们愈加向往良好的生态环境;另一方面,支持农业生态系统的环境正在以前所未有的速度恶化.文章正是着眼于当前中国农业环境问题,先列举了农业环境污染的现状,接着对农业环境污染问题从经济学的角度进行分析,并在此基础上探讨了排污税的利弊. 相似文献
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Java(Java也是美国加里福尼亚州Sun Microsystems公司的注册商标)正快速成为一种用于加工制造业和系统集成的计算机编程语言。相对于标准C和C^ 计算机语言而言,Java的多功能性和支持众多计算机操作系统和平台的显著特点,使它能在装备有不同计算机平台和控制系统的机械设备上使用提供了最大的方便性。从而提高了木材产品加工过程的安全性。本文就Java软件系统在木材加工和家具加工过程中的应用以及潜在问题进行探讨。 相似文献
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包丽雅 《防灾科技学院学报》2013,15(1):82-87
根据火灾风险评估原理,以某石油库储罐区为研究对象,排除主观因素对评估结果的影响,采用基于事件树的定量评估方法对该罐区进行火灾风险评估。通过危险源辨识、构建事件树、确定各事件频率构建出一个完整的油罐区泄漏火灾事件树,并对财产损失进行分析计算,与可接受风险水平进行对比,得出该油罐区如果发生泄漏火灾将造成严重的人员、财产损失。 相似文献
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Xiaoyan Liu Liya Cao Qian Wang Xinying Zhang Xiaoxin Hu 《Environmental science and pollution research international》2017,24(23):18946-18952
Tea saponin (TS), a kind of green biosurfactant produced by plants, was added into the Cd–pyrene co-contaminated soils to evaluate its influence on phytoremediation of Cd and pyrene by Lolium multiflorum. The results showed that the accumulation of pyrene in L. multiflorum was significantly promoted by the TS. Compared with no TS treatments (PL and ML), the aboveground concentrations of pyrene in TS treatments (PLT and MLT) increased by 135 and 30%, respectively, and the underground concentrations of pyrene in TS treatments (PLT and MLT) increased by 40 and 25%. The concentrations of Cd in the aboveground and underground parts in single contaminated treatments were all significantly more than those in co-contaminated treatments, while the situation of pyrene was quite the reverse. Besides, the addition of TS enhanced activities of dehydrogenase and polyphenol oxidase in soils and increased the biomass of L. multiflorum. The micromorphology of L. multiflorum was not affected by TS. The study suggests that the use of L. multiflorum with TS is an alternative technology for remediation of Cd–pyrene co-contaminated soils. 相似文献
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With growing population and fast urbanization in Australia, it is a challenging task to maintain our water quality. It is
essential to develop an appropriate statistical methodology in analyzing water quality data in order to draw valid conclusions
and hence provide useful advices in water management. This paper is to develop robust rank-based procedures for analyzing
nonnormally distributed data collected over time at different sites. To take account of temporal correlations of the observations
within sites, we consider the optimally combined estimating functions proposed by Wang and Zhu (Biometrika, 93:459–464, 2006) which leads to more efficient parameter estimation. Furthermore, we apply the induced smoothing method to reduce the computational
burden. Smoothing leads to easy calculation of the parameter estimates and their variance-covariance matrix. Analysis of water
quality data from Total Iron and Total Cyanophytes shows the differences between the traditional generalized linear mixed
models and rank regression models. Our analysis also demonstrates the advantages of the rank regression models for analyzing
nonnormal data. 相似文献
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Zhang Yifan Ma Yuxia Shen Jiahui Li Heping Wang Hang Cheng Bowen Ma Liya 《Environmental science and pollution research international》2022,29(45):67776-67786
Environmental Science and Pollution Research - In recent years, O3 pollution had been worsening in China and became a major challenge for human health. To evaluate the O3 effects on circulatory and... 相似文献
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