From  2009 - Present

Lecturer

For reference:

Prof. Dr. Nguyen The Hung

Tel: +84 0912415152

Email:nguyenthehung@tuaf.edu.vn

Position: Vice Rector

Vietnam

Lecturer for Soil sciences, Climate change, Earth Sciences, and Land suitability evaluation elaborating GIS tools.

From 7/2019-9/2020

PhD student

Prof. Josef Eitzinger

Email: josef.etizinger@boku.ac.at

Position: Vice dean of Institute of Meteorology, Vienna, Austria.

Austria

Scientist assistant, project staff, and Crop modeling.

Speaking

Writing

Reading

Good

Good

Good

Detailed Tasks Assigned on Consultant’s Team of Experts

Reference to Prior Work/Assignments that Best Illustrates Capability to Handle the Assigned Tasks

Researches

Agricultural Consultant

Evaluation of land use planning of Dong Quang ward, Thai Nguyen city in the 2006-2010

Position: Team leader

Rural Consultant

Estimation of initial results of new rural planning in La Bang commune - Dai Tu district - Thai Nguyen.

Position: Team leader

Climate Smart Agriculture Consultant, Agrometorological model specialist.

Estimating the ecological requirements of Panax notoginseng for developing indices to map cultivation zones for high quality and yield in the northern mountainous region of Vietnam.

Position: Team leader

Climate Smart Agriculture Consultant, Agrometorological model specialist.

Researching the tea production based on 4.0 technology and agrometeorology in Thai Nguyen province

Position: Research Staff

Papers

Nguyễn Thu Thùy, Nguyễn Thùy Linh, Nguyễn Đức Nhuận, Trần Thị Mai Anh, Nguyễn Hữu Thái, 2021. Đánh giá công tác đấu giá quyền sử dụng đất tại một số dự án trên địa bàn huyện Tam Dương, tỉnh Vĩnh Phúc. Tạp chí khoa học đất (65) 138-144

Hoàng Hữu Chiến, Đặng Văn Minh, Nguyễn Huy Trung, Nguyễn Quang Thi, Nguyễn Duy Hải, Trần Thị Mai Anh, Kozo Iwasaki, Sota Tanaka, 2021. Hàm lượng tổng số và dễ tiêu của một số nguyên tố vi lượng trong đất và mối tương quan của chúng với lý hóa tính cơ bản của đất tại vùng chè đặc sản Tân Cương, Thái Nguyên. Tạp chí khoa học đất (65) 13-18

Trần Thị Mai Anh, Nguyễn Văn Dũng, Vũ Thị Thanh Thủy, Dương Anh Quân, Nguyễn Thu Thùy, Hoàng Hữu Chiến, 2021. Đánh giá tác động biến đổi khí hậu tới hàm lượng đạm (N) tổng số trong đất tại Thái Nguyên, Việt Nam. Tạp chí khoa học đất (65) 38-45

Tran Thi Mai Anh, Duong Anh Quan, Le Thi Nga, Nguyen Thanh Binh, Truong Xuan Quang, Truong Van Anh, Pham Van Hiep, Vu Thuy Duong, Hoang Van Huong, 2021. Natural disaster risk exposure mapping by using GIS – a case study in the core city of Can Tho. National conference on geospatial technology in the Earth sciece and Environment (NCGEE) (năm 2021) 423-431.

Flood hazard assessment

Hydraulic model

Van Anh Truong, Anh Quan Duong, Ngoc Quy Bui, Van Hiep Pham, Danh Duc Nguyen, Xuan Quang Truong, Thi Mai Anh Tran (2021). The advantage of using satellite data together with the hydraulic model in flood hazard assessment: A case study in Ca River downstream. Vietnam Journal of hydrometeorology 2021, 8, 28-43.

doi:10.36335/VNJHM.2021(8).28-43

Application of GIS for agricultural planning

Anh Mai Thi Tran, Quan Anh Duong, Thi Quang Nguyen, Nhuan Duc Nguyen, Tuyen Van Ha, Thuy Thu Nguyen (2020). Application of GIS in land quality mapping for agricultural planning of Ha Giang province. Journal of Mining and Earth Sciences Vol.61, Issue 6 (2020) 38-49.

Application of GIS for flood risk assessment

Ngoc Quy Bui, Thi Nga Le, Anh Quan Duong, Thi Mai Anh Tran (2020). Asessment of flood risk on human in downstream of Vu  Gia -Thu  Bon  river  basin  by  combining  GIS  and hydraulic model. Journal of mining and Earth Science 61 (4) 46-56. DOI:10.46326/JMES.2020.61(4).05

Climate change and crop production (maize)

Tran, T.M.A, Eitzinger, J., Manschadi, A.M., 2020. Response of maize yield under changing climate and production conditions in Vietnam. Italian Journal of Agrometeorology, Florence, Italy (3) 73-84. ISSN 2038-5625 (print) | DOI: 10.13128/ijam-4565.

Land suitability assessment (tea)

Hoang Van Hung, Tran Thi Mai Anh, Hoang Thi Thuy, Pham Xuan Thieu (2018). Analysis land suitability for tea intergrading GIS in Dai Tu district, Thai Nguyen. Journal of Science and technology. ISSN 1859-2171, 193 (17), 95-103.

Land management – Land price

Tran Thi Mai Anh, Hoang Van Hung, Nguyen Quang Thi, Nong Ngoc Anh (2018). Researching the major factors that effect to land price at Hoang Van Thu stress, Thai Nguyen city, Thai Nguyen province. Thai Nguyen. Journal of Science and technology. ISSN 1859-2171, 193 (17), 95-103.

Land management

Tran Thi Mai Anh, Hoang Van Hung, Do Van Hai, Le Thanh Cong, 2014, "Assessing the situation of land use right auction of a number of projects in Phuc Tho district, Hanoi", Thai Nguyen University of Science and Technology Journal ISSN 1859-2171, pp95-101.

GIS and RS in forest research

Hoàng Văn Hùng, Chu Văn Trung, Sẻn Păn Nha Kếp Kẹo, Nguyễn Quang Thi, Trần Thị Mai Anh (2013). Nghiên cứu xây dựng bản đồ trạng thái rừng tại một số khu vực vùng lõi và vùng đệm của Vườn Quốc gia Ba Bể, tỉnh Bắc Kan bằng công nghệ GIS và viễn thám. Kỷ yếu hội nghị Khoa học Địa lí toàn quốc lần thứ 7. Tập 2: 196-204 (ISBN: 978-604-915-044-9).

Land use efficient assessement

Trần Thị Mai Anh, Nguyễn Thị Thu Hồng, Hoàng Văn Hùng, Bùi Thanh Hải (2013). Đánh giá thực trạng và đề xuất các giải pháp nâng cao hiệu quả sử dụng đất bền vững tại xã Mỹ Yên, huyện Đại Từ, tỉnh Thái Nguyên. Tạp chí Khoa học – Công nghệ ĐHTN. 107(7): 135-143.

Water management

Hoang Van Hung, Pham Tat Dat, Tran Thi Mai Anh, 2013, "Evaluation of Surface Water Environment Nui Coc Lake in Thai Nguyen," Journal of Thai Nguyen University of Science and Technology ISSN 1859-2171, pp95-101.

Land suitability assessment

Tran Thi Mai Anh, Hoang Van Hung, Ma Thi Hanh (2013). Assessment of land potential and orientation of agricultural land use in Cao Ky commune, Cho Moi district, Bac Kan province. Journal of Agriculture and Rural Development September, ISSN 1859-2171 (9), pp155-160.

Projects

Crop simulation based on climatic, soil and management conditions

Name of the Project: Serbia4Excel-H020-TWINN-2015

Year: January 2016

Project duration: 36 months

Location: Serbia, Austria. Client: European Union´ Horizon 2020 research and innovation programme under grant agreement No 691998

Main project features: The overall aim of this Twinning-H2020 project SERBian-Austrian-Italian (SAI) partnership FORcing EXCELLence in ecosystem research (SERBIA FOR EXCELL) is the upgrade of knowledge, skills and social capacity of PFNS  in the field of environmental sciences, with special focus on agrometeorology and related ecosystem sciences (such as plant physiology, crop management). The main tool for reaching that aim will be establishment of the AgMnet+  research network at PFNS in collaboration with leading international research institutions BOKU and UNIFI. As a strategy to improve S&T capacities of PFNS, AgMnet+  will introduce the concepts of small study groups of PFNS, BOKU  and UNIFI  students and develop joint study teaching material in English and native languages. BOKU and UNIFI partners will implement goal-driven measurement and modelling training in the selected research fields for AgMnet+ members. Additionally, EU partners will organise expert training related to preparation of research project proposals for AgMnet+ researchers. Intensive exchange of short term scientific visits, guest lectures and students visits among partner institutions will contribute to improved eligibility of AgMnet+  members for participation on EU projects, increased number of papers in peer-review journals and increased citation. Finally, AgMnet+ will serve as a robust basis for the further sustainable development of the selected research fields at PFNS, in Serbia and wider region of Western Balkan Countries.

Activities performed:

2016: Collecting data (Weather data)

2017: Crop yield analysis using Agriclim model

2018: Maize simulation using DSSAT and APSIM.

Prepare database and crop simulation

FARM IT (Innovative technologies for smart agriculture)

Year: 01.09.2017-31.08.2021

Location: Austria

Main project features: The Research Studio FARM/IT will address these shortcomings and provide the following contributions:

1. Establish a highly interdisciplinary, long-term research collaboration between TU and BOKU mastering recent and upcoming challenges in farming systems. The consortium aims to establish the first academic think tank related to smart farming in Austria.
2. Designing and developing cost-effective and user-friendly ICT components for improving the management and optimization of conventional and organic farming systems. We aim to make scientific concepts available to decision makers and to allow stakeholders to efficiently use the magnitude of data for strategic and tactical decision-making. FARM/IT will provide a web-based discussion support system that allows decision makers to overlook the multitude of decision parameters and the high degree of uncertainty in the management of farming systems and support them in interactively evaluating the consequences of their actions in economic, environmental and political terms. We believe communication of meaningful, concise information to the stakeholders is the best way to achieve behavioural change.

3. Providing knowledge transfer and sharing between academia and stakeholders, such as farmers, agricultural companies, governmental and non-governmental organizations. The early involvement of major stakeholders from international academia (Hohenheim and Kiel universities (DE), Lincoln University (NZ)), governmental (HBLFA Raumberg-Gumpenstein, Victoria Government (AU)), non-governmental (Landwirtschaftskammer), companies (PAS Peschak), software providers (LincolnAgritech (NZ)), and farmers, will ensure the market relevance of the research provided by FARM/IT.

Activities perform (ongoing): Crop simulation

Crop modeling to analyze impact of climate change to farming system

AGROFORECAST (Tailored AGRO meteorological FORECAST for improving resilience and sustainability of Austrian farming systerms under changing climate)

Year: 01.10.2019-30.09.2022

Location: Austria

Main project features: The overall objective of AGROFORECAST is to establish a stakeholder-tailored agrometeorological forecasting system that is used for optimising agricultural decision-making in the face of changing climate and climate variability A focus will be on efficient use of critical resources for crop production (irrigation water, fertilizer, agricultural chemicals) needed for smart and precision farming options. We will implement and test the established forecasting system in two case study regions - Lower Austria, including the Marchfeld and a second region with different orographic and climate conditions, South-Eastern Styria. The specific objectives of this project are:

1. Identify the key weather-related decisions and the needs and expectations of farmers
2. Develop and test state-of-the-art downscaling approaches to bring the global seasonal ensemble forecasts closer to the scales convenient for farm decision making
3. Develop and test tailored decision support information by linking weather forecasts with agro-climatic risk indicators and crop management indicators by validated risk algorithms (extended ARIS) and crop models (e.g. iCrop and Aquacrop)
4. Evaluate/demonstrate the accuracy as well as the socio-economic and ecological value of the combined forecast products

Activities perform (ongoing): Crop simulation