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Simulation of maize drought degree in Xi'an City based on cusp catastrophe model

  • Published:2021-03 Issue:1 Volume:14 Page:28-35
  • ISSN:1674-2370
  • Container-title:Water Science and Engineering
  • language:en
  • Short-container-title:Water Science and Engineering

Author:

Chen Hai-tao,He Ji,Wang Wen-chuan,Chen Xiao-nan

Funder

Henan Provincial Science and Technology Research Project

Publisher

Elsevier BV

Subject

Ocean Engineering,Civil and Structural Engineering

Reference33 articles.

1. The cusp catastrophe model in describing a bank's attractiveness as measured by its image;Angelis;Procedia Economics and Finance,2015

2. Streamflow variations in monthly, seasonal, annual and extreme values using Mann-Kendall, Spearmen's rho and innovative trend analysis;Ashraf;Water Resour. Manag.,2020

3. An empirical standardized soil moisture index for agricultural drought assessment from remotely sensed data;Carrao;Int. J. Appl. Earth Obs. Geoinf.,2016

4. Monitoring agricultural risk in Canada using L-band passive microwave soil moisture from SMOS;Champagne;J. Hydrometeorol.,2015

5. Model of risk assessment for agricultural drought based on two-layer soil computing model;Chen;Trans. Chin. Soc. Agric. Eng.,2009

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