Agricultural drought hazard assessment from the perspective of the impact of continuous drought on actual crop transpiration

Drought hazard assessment is essential for drought risk reduction, and transpiration sensitively reflects crop responses to continuous drought. The DSSAT-CERES-Maize was calibrated by adjusting genetic parameters and validated using four-season experiment data of summer maize. The daily potential and actual transpiration were simulated to construct a crop transpiration drought index (CTDI), which is defined as the relative deviation of actual transpiration from potential transpiration. The CTDI was compared with commonly used indices, validated against drought records, and subsequently applied to identify the spatiotemporal evolution of maize drought hazard and drought-prone zones and periods across six cities in the Huaibei Plain from the 1960s to the 2010s. Temporally, drought hazard at the seedling and milking stages decreased significantly, particularly in the central and southern regions. Spatially, Fuyang, Huainan, and Bengbu exhibited the highest hazard during the maize growing season. Suzhou experienced consistently low hazard, whereas Huaibei showed substantial variability. The central region was characterized by high drought intensity and prolonged drought duration, while drought severity in the south declined over time. These findings indicate that the CTDI provides a sensitive and accurate method for assessing agricultural drought hazard. Drought risk reduction strategies should prioritize the maize milking stage in Fuyang, Huainan, and Bengbu.

Authors

Institutions

Publication Details

Journal
Geomatics Natural Hazards and Risk
Published
2026-10-16
DOI
https://doi.org/10.1080/19475705.2026.2746263
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Agricultural drought hazard assessment from the perspective of the impact of continuous drought on actual crop transpiration

Juliang Jin, Xu Xiong, Yuliang Zhang, Yi Cui et al.
Geomatics Natural Hazards and Risk
Hydrology and Drought Analysis
article

Agricultural drought hazard assessment from the perspective of the impact of continuous drought on actual crop transpiration

Juliang Jin, Xu Xiong, Yuliang Zhang, Yi Cui, Shuo Jia, Yuliang Zhou
article en

Abstract

Drought hazard assessment is essential for drought risk reduction, and transpiration sensitively reflects crop responses to continuous drought. The DSSAT-CERES-Maize was calibrated by adjusting genetic parameters and validated using four-season experiment data of summer maize. The daily potential and actual transpiration were simulated to construct a crop transpiration drought index (CTDI), which is defined as the relative deviation of actual transpiration from potential transpiration. The CTDI was compared with commonly used indices, validated against drought records, and subsequently applied to identify the spatiotemporal evolution of maize drought hazard and drought-prone zones and periods across six cities in the Huaibei Plain from the 1960s to the 2010s. Temporally, drought hazard at the seedling and milking stages decreased significantly, particularly in the central and southern regions. Spatially, Fuyang, Huainan, and Bengbu exhibited the highest hazard during the maize growing season. Suzhou experienced consistently low hazard, whereas Huaibei showed substantial variability. The central region was characterized by high drought intensity and prolonged drought duration, while drought severity in the south declined over time. These findings indicate that the CTDI provides a sensitive and accurate method for assessing agricultural drought hazard. Drought risk reduction strategies should prioritize the maize milking stage in Fuyang, Huainan, and Bengbu.

Geomatics Natural Hazards and RiskVol. 17(1)
Hefei University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Anhui Province
Zero hunger
Openalex Percentile: Top 17%
Hydrology and Drought Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.