全文获取类型
收费全文 | 106篇 |
免费 | 0篇 |
国内免费 | 5篇 |
专业分类
安全科学 | 3篇 |
废物处理 | 12篇 |
环保管理 | 6篇 |
综合类 | 13篇 |
基础理论 | 12篇 |
污染及防治 | 46篇 |
评价与监测 | 7篇 |
社会与环境 | 12篇 |
出版年
2023年 | 6篇 |
2022年 | 14篇 |
2021年 | 14篇 |
2020年 | 3篇 |
2019年 | 5篇 |
2018年 | 6篇 |
2017年 | 9篇 |
2016年 | 5篇 |
2015年 | 6篇 |
2014年 | 4篇 |
2013年 | 5篇 |
2012年 | 6篇 |
2011年 | 7篇 |
2010年 | 5篇 |
2009年 | 3篇 |
2008年 | 3篇 |
2007年 | 2篇 |
2006年 | 2篇 |
2004年 | 1篇 |
2001年 | 1篇 |
1987年 | 1篇 |
1985年 | 1篇 |
1983年 | 2篇 |
排序方式: 共有111条查询结果,搜索用时 375 毫秒
101.
Van-Hieu Vu Xuan-Quynh Le Ngoc-Ho Pham Luc Hens 《Environmental science and pollution research international》2013,20(8):5138-5149
Transport is an essential sector in modern societies. It connects economic sectors and industries. Next to its contribution to economic development and social interconnection, it also causes adverse impacts on the environment and results in health hazards. Transport is a major source of ground air pollution, especially in urban areas, and therefore contributes to the health problems, such as cardiovascular and respiratory diseases, cancer and physical injuries. This paper presents the results of a health risk assessment that quantifies the mortality and the diseases associated with particulate matter pollution resulting from urban road transport in Haiphong City, Vietnam. The focus is on the integration of modelling and geographic information system approaches in the exposure analysis to increase the accuracy of the assessment and to produce timely and consistent assessment results. The modelling was done to estimate traffic conditions and concentrations of particulate matters based on geo-referenced data. The study shows that health burdens due to particulate matter in Haiphong include 1,200 extra deaths for the situation in 2007. This figure can double by 2020 as the result of the fast economic development the city pursues. In addition, 51,000 extra hospital admissions and more than 850,000 restricted activity days are expected by 2020. 相似文献
102.
Duong Minh Bui Phuc Duy Le Minh Tien Cao Trang Thi Pham Duy Anh Pham 《International Journal of Green Energy》2020,17(7):382-406
ABSTRACTTime-series and machine-learning methods are being strongly exploited to improve the accuracy of short-term load forecasting (STLF) results. In developing countries, power consumption behaviors could be suddenly changed by different customers, e.g. industrial customers, residential customers, so the load-demand dataset is often unstable. Therefore, reliability assessment of the load-demand dataset is obviously necessary for STLF models. Hence, this paper proposes a novel and unified statistical data-filtering method with the best confidence interval to eliminate unexpected noises/outliers of the input dataset before performing various short-term load forecasting models. This proposed novel data-filtering method, so-called the data pre-processing method, is also compared to other existing data-filtering methods (e.g. Kalman filter, Density-Based Spatial Clustering of Applications with Noise, Wavelet transform, and Singular Spectrum Analysis). By using an SCADA system?-based database of a typical 22kV distribution network in Vietnam, NYISO database, and PJM-RTO database, case studies of short-term load forecasting have been conducted with a conventional ARIMA model, an ANN forecasting model, an LSTM-RNN model, an LSTM-CNN combined model, a deep auto-encoder (DAE) network, a Wavenet-based model, a Wavenet and LSTM hybrid model, and a Wavelet Neural Network (WNN) model, which are to validate the novel and unified statistical data-filtering method proposed. The achieved numerical results demonstrate which the accuracy of the aforementioned STLF models can be significantly improved due to the proposed statistical data-filtering method with the best confidence interval of the input load dataset. The proposed statistical data-filtering method can considerably outperform the existing data-filtering methods. 相似文献
103.
104.
Pham Van Khang Xuan Truong Mai Hiep Hoang Phu Sy Danh Thuong Shen Sida 《毒物与环境化学》2020,102(1-4):124-131
AbstractIn this study, The essential oil of flowers, fruits, and leaves of Thevetia peruviana, which were collected in Vietnam, were being reported for the first time. The essential oil of flowers was extracted by different methods: n-hexane extraction, distillation water, and supercritical CO2 extraction. The compositions of essential oil of different parts of Thevetia peruviana were analyzed by GC-FID and GC/MS systems. Major chemical compositions of essential oil were identified as monoterpenes, sesquiterpenes, terpenoids, and sterol. The activities of total essential oil extracts of the Thevetia peruviana exhibit inhibitory activities against five cancer cell lines. 相似文献
105.
Le Trinh Hai Pham Hoang Hai Tran Anh Dung Luc Hens 《Environment, Development and Sustainability》2010,12(1):103-116
Background Sustainable development (SD) is a common concept. Knowledge and attitudes are essential in the SD process. This study assesses
the knowledge, attitudes, and practices (KAP) of local people about SD. Aim To study the factors that influence the understanding of the concept, contents, and indicators of different aspects affecting
the health and environmental issues. Methods A cross-sectional study was carried out from June to July 2007 among 546 households in the Quang Tri province. Data were
gathered on basis of socio-demographic variables, namely age, gender, education, occupation, income, and region. Chi square
tests and multivariate analysis were performed on the obtained data. The data were cleaned and analysed using SPSS 15.0 for
windows. Results Occupation is related to knowledge, attitude, or practice. Income is related to knowledge or practice. Gender related to
only attitude. Lastly, region is related to attitude or practice. The proportion of wrong understanding about SD is 2.0 times
(95% CI: 1.3; 3.1, p < 0.001) higher than that of the people who have good understanding about it. The rate of willingness to do any related SD
programmes of the people who understanding is 2.1 times (95% CI: 1.4; 3.2, p < 0.001) higher than that of the people who have bad one. Conclusions This study shows that knowledge on sustainability of the local communities is low. Occupation and income influence understanding
of SD more than region, age, gender, and education. Most of the local people who do not understand SD in general, do not want
to participate or act in SD programmes. 相似文献
106.
Production of hydrogen and value-added carbon materials by catalytic methane decomposition: a review
Pham Cham Q. Siang Tan Ji Kumar Ponnusamy Senthil Ahmad Zainal Xiao Leilei Bahari Mahadi B. Cao Anh Ngoc T. Rajamohan Natarajan Qazaq Amjad Saleh Kumar Amit Show Pau Loke Vo Dai-Viet N. 《Environmental Chemistry Letters》2022,20(4):2339-2359
Environmental Chemistry Letters - Dihydrogen (H2), commonly named “hydrogen”, is attracting research interest due to potential applications in fuel cells, vehicles, pharmaceuticals and... 相似文献
107.
Pham Cham Q. Bahari Mahadi B. Kumar Ponnusamy Senthil Ahmed Shams Forruque Xiao Leilei Kumar Sunil Qazaq Amjad Saleh Siang Tan Ji Tran Huu-Tuan Islam Aminul Al-Gheethi Adel Vasseghian Yasser Vo Dai-Viet N. 《Environmental Chemistry Letters》2022,20(6):3613-3630
Environmental Chemistry Letters - The Ukraine war has strongly accentuated the ongoing energy and environmental issues, thus requiring a fast development of alternative and more local fuels. For... 相似文献
108.
Le Lam Hai Pham Anh Thi Hoang 《Environmental science and pollution research international》2022,29(54):81234-81255
Environmental Science and Pollution Research - The Environment Fund is a state financial institution and a non-profit organization, operating mainly in concessional loans with low-interest rates... 相似文献
109.
Pham Hong Thi Vu Long Duc Lê Ngoc Chi Hoang Thu-Huong Thi 《Environmental science and pollution research international》2022,29(28):42005-42015
Environmental Science and Pollution Research - It is increasingly being recognized that biotic ligand models (BLMs) can successfully predict the toxicity of divalent metals toward aquatic biota... 相似文献
110.
Subeshan Balakrishnan Pham Anh Murad Md. Shafinur Asmatulu Eylem 《Journal of Material Cycles and Waste Management》2023,25(5):2559-2583
Journal of Material Cycles and Waste Management - Mercury (Hg) is a naturally occurring chemical found in rock and coal deposits that can exist in various forms, including elemental Hg, inorganic... 相似文献