Dynamic drought risk assessment for maize based on crop simulation model and multi-source drought indices-Reference-Cited by-同舟云学术

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Dynamic drought risk assessment for maize based on crop simulation model and multi-source drought indices

Published:2019-10 Issue: Volume:233 Page:100-114
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Zhang Feng,Chen Yanan,Zhang Jiquan,Guo Enliang,Wang Rui,Li Danjun

Funder

National Natural Science Foundation of China

Meteorological Research in the Public Interest

Program of Introducing Talents of Discipline to Universities

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference82 articles.

1. Remote sensing of drought: progress, challenges and opportunities;Aghakouchak;Rev. Geophys.,2015

2. Assessing multi-satellite remote sensing, reanalysis, and land surface models' products in characterizing agricultural drought in East Africa;Agutu;Remote Sens. Environ.,2017

3. Mapping the vulnerability of crop production to drought in Ghana using rainfall, yield and socioeconomic data;Antwi-Agyei;Appl. Geogr.,2012

4. Photothermal impact on maize performance: a simulation approach;Bannayan;Ecol. Model.,2004

5. Impacts of climate change on farm income security in Central Asia: an integrated modeling approach;Bobojonov;Agric. Ecosyst. Environ.,2014

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3. Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis;Archives of Computational Methods in Engineering;2023-11-06

4. Spatiotemporal characteristics and obstacle factors identification of agricultural drought disaster risk: A case study across Anhui Province, China;Agricultural Water Management;2023-11

5. Adaptability Evaluation of the Spatiotemporal Fusion Model in the Summer Maize Planting Area of the Southeast Loess Plateau;Agronomy;2023-10-13

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