Performance and relationship of four different agricultural drought indices for drought monitoring in China's mainland using remote sensing data.

Agricultural drought MSDI Remote sensing SPI SSI VHI

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Mar 2021
Historique:
received: 26 05 2020
revised: 20 10 2020
accepted: 20 10 2020
pubmed: 25 11 2020
medline: 25 11 2020
entrez: 24 11 2020
Statut: ppublish

Résumé

Increasing frequency and intensity of extreme drought events have harmed the environment, ecosystem, and agricultural productivity. However, the characteristics of agricultural drought in China have not been well understood. The remote sensing (RS) based gridded monthly precipitation, soil moisture, land surface temperature (LST), and normalized difference vegetation index (NDVI) datasets over 1982-2018 were utilized to derive standardized precipitation index (SPI), standardized soil moisture index (SSI), multivariate standardized drought index (MSDI), and vegetation health index (VHI). The variation patterns and trends of SPI, SSI, and MSDI at the 1-, 3-, and 6-month timescales against monthly VHI anomaly were compared to identify the best agricultural drought index in China. The drought variations in the four sub-regions (northwest, north, Qinghai-Tibet area, and south area) were also investigated. The results showed that: (1) Temporal patterns of VHI anomaly were similar to relative soil moisture and slightly different from precipitation. The spatial patterns of MSDI matched with VHI the best than SPI and SSI. (2) All three indices showed positive correlations with VHI at the three timescales. The highest correlation coefficients (r) between MSDI and VHI ranged from 0.25 to 0.67, 0.22 to 0.78, 0.23 to 0.69, and 0.19 to 0.74 in northwest China, north China, Qinghai-Tibet Plateau, and south China, respectively. (3) The connections between monthly VHI and the three drought indices were weaker at the 1-month timescale (0.16 < r < 0.25) than the 3-month (0.39 < r < 0.78) and 6-month (0.26 < r < 0.68) timescales. (4) The VHI significantly increased in most of China except north China. Overall, MSDI showed better performance for monitoring agricultural drought in China's mainland.

Identifiants

pubmed: 33229075
pii: S0048-9697(20)37061-3
doi: 10.1016/j.scitotenv.2020.143530
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

143530

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no conflict of interest.

Auteurs

Tehseen Javed (T)

College of Water Resources and Architectural Engineering, Northwest A&F University, 712100, Shaanxi, PR China; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, Shaanxi, PR China. Electronic address: tehseenjaved@nwafu.edu.cn.

Yi Li (Y)

College of Water Resources and Architectural Engineering, Northwest A&F University, 712100, Shaanxi, PR China; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, Shaanxi, PR China. Electronic address: liyi@nwafu.edu.cn.

Sadaf Rashid (S)

Department of Physics, Islamia College, Peshawar 25130, Khyber Pakhtunkhwa, Pakistan.

Feng Li (F)

College of Water Resources and Architectural Engineering, Northwest A&F University, 712100, Shaanxi, PR China.

Qiaoyu Hu (Q)

College of Water Resources and Architectural Engineering, Northwest A&F University, 712100, Shaanxi, PR China.

Hao Feng (H)

Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, Shaanxi, PR China.

Xinguo Chen (X)

College of Water Resources and Architectural Engineering, Northwest A&F University, 712100, Shaanxi, PR China.

Shakeel Ahmad (S)

College of Agronomy, Northwest Agriculture & Forestry University/Key Laboratory of Physio-ecology, and Tillage in Loess Plateau, Ministry of Agriculture, Yangling 712100, PR China; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, Shaanxi, PR China.

Fenggui Liu (F)

Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810016, PR China.

Bakhtiyor Pulatov (B)

Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Qoriy Niyoziy 39, 100000 Tashkent, Uzbekistan.

Classifications MeSH