Năm 2017: Lãnh đạo Viện
|
|
|
|
6
|
1.6
|
Nghiên cứu hiệu suất sử dụng phân đạm của lúa, ngô, cải mơ trong một số hệ thống thâm canh tại Việt nam theo phương pháp đồng vị bền N15
|
Vũ Đình Tuấn, Phạm Quang Hà
|
|
Tạp chí Nông nghiệp & Phát triển nông thôn ISSN 1859-4581. số 2/2017, tr. 39 - 44
|
7
|
1.7
|
Effect of organic, inorganic and slow-release urea fertilisers on CH4 and N2O emissions from rice paddy fields
|
Mai Van Trinh, Bui Thi Phuong Loan, Vu Duong Quynh, Mehreteab Tesfai, Andrew Borrell, Udaya Sekhar Nagothu, Le Quoc Thanh
|
Vietnam is one of the world’s top two rice exporting countries. However, rice cultivation is the primary source of agriculture’s greenhouse gas (GHG) emissions in Vietnam. In particular, strategies are required to reduce GHG emissions associated with the application of organic and inorganic fertilisers. The objective of this study was to assess the effects of various combinations of biochar (BIOC), compost (COMP) and slow-release urea (SRU) on methane (CH4) and nitrous oxide (N2O) emissions. In total, 1170 gas samples were collected from closed gas chambers in rice paddies at Thinh Long commune and Rang Dong farm in northern Vietnam between June and October 2014. The gas samples were analysed for CH4-C and N2O-N fluxes using gas chromatography. The application of BIOC alone resulted in the lowest CH4 emissions (4.8–59 mg C m−2 h−1) and lowest N2O emissions (0.15–0.26 µg N m−2 h−1). The combined application of nitrogen–phosphorus–potassium (NPK) + COMP emitted the highest CH4 (14–72 mg C m−2h−1), while ½NPK + BIOC emitted the highest N2O (1.03 µg N m−2 h−1 in the TL commune), but it was the second lowest (0.495 µg N m−2 h−1) in the RD farm. Green urea and orange urea reduced N2O emissions significantly (p < 0.05) compared to white urea, but no significant differences were observed with respect to CH4 emissions. SRU fertilisers and BIOC alone measured the lowest greenhouse gas intensity, i.e. <2.5 and 3 kg CO2 eq. kg−1 rice grain, respectively. Based on these results, application of fertilisers in the form of BIOC and/or orange or green urea could be a viable option to reduce both CH4 and N2O emissions from rice paddy soils
|
Paddy Water Environ (2016)
DOI: 10.1007/s10333-016-0551-1
|
8
|
1.8
|
Finding solutions for the problem of environmental protection in the conditions of the maintain economic growth in Vietnam
|
Pham Quang Ha, Trần Viết Cường, Bùi Văn Hạt
|
|
International Conference on Environmental management & Sustainable Development, p. 12, 2017
|
|
|
Mapping rice greenhouse gas emissions in the Red River Delta, Vietnam
|
Nathan Torbick, William Salas, Diya Chowdhury, Peter Ingraham & Mai Trinh (2017):
|
Rice greenhouse gas (GHG) emissions in the Red River Delta, Vietnam were mapped using multiscale satellite imagery and a processed-based biogeochemical model. Multiscale Synthetic Aperture Radar (SAR) and optical imagery were fed into a randomforest classifier using field observations and surveys as training data to map rice extent. Time series analysis then generated geospatial information on crop calendar, hydroperiod, and cropping intensity to use as parameterize for the DeNitrification-DeComposition (DNDC) model to estimate emissions. Results show 2015 rice extent of 583,470ha with total harvested area of 1,078,783ha and total methane emissions for the Delta at 345.4 million kgCH4-C equivalent to 11.5 million tonnes CO2e (carbon dioxide equivalent). Satellite remote sensing was able to accurately map water management and improve model parameterization to understand the impacts of decisions such as irrigation practices, changes in GHG emissions, and mitigation initiatives. The approach described in this research provides a framework for using open access SAR to derive maps of rice and landscape characteristics to drive process models like DNDC. These types of tools and approaches will support the next generation of Monitoring, Reporting, and Verification (MRV) efforts to combat climate change and support robust and transparent policy decisions.
|
Carbon Management, DOI: 10.1080/17583004.2016.1275816
|
|
|
|
