Indicator-based evaluation of spatiotemporal characteristics of rice flood in Southwest China

Yang, Jianying; Huo, Zhiguo; Wu, Li; Wang, Tianying; Zhang, Guixiang

doi:10.1016/j.agee.2016.06.008

Cited by 27 publications

(22 citation statements)

References 45 publications

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“…Additionally, it is worth noting that historical Argo-meteorological disaster data are important in exploring the occurrence, development and spatio-temporal distribution of natural disasters (Du et al, 2015;Guan et al, 2015;Zhang, 2004;Yang et al, 2016;Wang et al, 2017;Wang et al, 2018) [41,46,47,49,58,59]. Even though this paper provides the spatio-temporal characteristics of natural disasters over the last four decades, it does not fully reveal all of their characteristics.…”

Section: Discussionmentioning

confidence: 95%

“…An assessment model of natural disaster risk by using the MAWM method was proposed in this study, and risks of different types of natural disaster in relation to grain production at the provincial level in China were then calculated on the basis of the natural disaster database and the crop database of 31 provinces/municipalities during 1978-2014. Unlike the assessments of natural disaster risk based on the disasters area or frequencies models used in previous studies (Liao et al, 2013;Du et al, 2015;Yang et al 2016) [45,47,49], the MAWM method improved the credibility of the evaluation results by considering the dataset in terms of hectares of all crops covered by, affected by, and destroyed by natural disasters.…”

Section: Discussionmentioning

confidence: 99%

“…Although previous studies have focused on only droughts and floods, our evaluation of seven geographical regions revealed spatial diversity for five different types of natural disasters ( Figure 5). Recently, Yang et al (2016) [49] analyzed the spatio-temporal patterns of a floods in Southwest China and found that rainfall-caused rice flood disaster was more severe in the early mature stage, followed by the jointing-booting and transplanting-tillering stages. Zhang (2004) [41] presented a risk analysis and assessment of droughts disaster to agricultural production in the maize-growing area of Songliao Plain of China, indicating that droughts were the most serious disaster.…”

Section: Discussionmentioning

confidence: 99%

“…Many techniques have been developed in previous studies to detect the temporal characteristics of disasters, and disasters trends have been analyzed using collected time series (Du et al, 2015; Shi et al, 2014) [47,48]. Yang et al (2016) [49] defined the rice flood index (RFI) by considering the intensity and frequency of rice floods with the purpose of effectively assessing spatio-temporal flood risk for rice in Southwest China. He et al (2013) [30] used the drought hazard index (DHI) to assess the agricultural drought risk and spatial characteristic of agricultural drought risk in China.…”

Section: The Intensity Index Of Natural Disastersmentioning

confidence: 99%

See 3 more Smart Citations

Impact of Climate on Food Security in Mainland China: A New Perspective Based on Characteristics of Major Agricultural Natural Disasters and Grain Loss

et al. 2019

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Under the background of global warming, China has experienced frequent natural disasters that have seriously affected grain production in recent decades. Based on historical documents from 1978-2014, we explored the spatio-temporal variation of five major kinds of natural disasters and grain losses in China using statistical techniques: the Mann-Kendall (MK) test, social network analysis (SNA), and geographic information system (GIS) tools. The disaster intensity index (Q) clearly showed the variation of natural disasters; all of China experienced a significant increasing trend at an annual scale, reaching its peak (27.77%) in 2000. The step change points in floods, droughts, hail, and low-temperature events began to occur in 1983, 1988, 1988, 1992, respectively, while no obvious trend was detected for typhoon activity from 2001 to 2014. Drought and flood were the most serious types of disaster over the last four decades, accounting for more than 50% of total grain losses. Eight major provinces were identified with severe grain losses: Heilongjiang, Shandong, Henan, Hebei, Anhui, Sichuan, Jiangsu, Hunan, and Hubei. Five studied natural disaster types were identified throughout the seven physical geographical regions. Spatial distribution for the different disaster types showed significant geographical distribution characteristics. Natural disasters gradually became more diverse from north to south. Droughts, hail, and low-temperature disasters were randomly distributed throughout China; flood and typhoon disasters exhibited significant spatial auto-correlation and clustering patterns. Finally, in accordance with the intensity of natural disaster, the annual grain losses at the provincial scale initially increased (ranging from 0.14 million to 3.26 million tonnes in 1978-2000), and then decreased after 2000 (ranging from 3.26 million to 1.58 million tonnes in 2000-2014). The center of gravity of grain losses gradually moved northward. These results emphasize that developing different strategies for disaster prevention and mitigation programs in the major grain producing areas (e.g., Heilongjiang, Shandong, and Henan) are critical and important to China's food security.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: The Intensity Index Of Natural Disastersmentioning

confidence: 99%

See 2 more Smart Citations

Impact of Climate on Food Security in Mainland China: A New Perspective Based on Characteristics of Major Agricultural Natural Disasters and Grain Loss

et al. 2019

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“…The daily minimum temperature, low temperature duration, diurnal temperature range, and accumulated harmful temperature should always be used as disaster-causing factors for the analysis of the three types of frost. The intensity and duration of disaster weather determines whether it can trigger plant injury as was discovered by previous studies (Yang et al, 2016). To demonstrate a frost process on apricot, the frost duration days (D) and the accumulated harmful temperature ( ) were chose to demonstrate a process-based apricot frost event (as showed in fig.…”

Section: Derivation Of Apricot Frost Disaster-causing Factorsmentioning

confidence: 99%

Process-Based Indicators for Timely Identification of Apricot Frost Disaster on the Warm Temperate Zone, China

Yang

Huo

Wang

et al. 2021

Preprint

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Frequent occurrences of extreme cold weather processes create severe agricultural/forest frost events, even given the background of global warming. In the warm temperate zone of China, which is the largest planting area for fresh apricot, late spring frost disaster has become one of the major meteorological hazards during flowering. To prevent cold weather-induced apricot frost events and reduce potential losses in related fruit economic value, it is vital to establish a meteorological indicator for timely and accurate identification of cold weather process-based apricot frost events, to provide support for timely apricot frost monitoring and warning in late spring. In this study, daily minimax temperature (Tmin) and apricot frost disaster data during flowering were combined to establish meteorological identification indicators of apricot frost based on cold weather processes. A process-based apricot frost model (f(D,Tcum) was firstly constructed, and characteristics of (Tcum) (accumulated harmful temperature) were explored under different D (duration days) based on the representation of historical apricot frost processes. Thresholds for the (Tcum) for apricot frost in 1, 2, 3, 4 and more than 5 days of apricot frost process were determined as -1.51, -2.92, -4.39, -5.84 and − 7.31°C, respectively. Validation results by reserved independent disaster samples were generally consistent with the historical records of apricot frost disasters, with 89.00% accuracy for indicator-based identification results. Typical process tracking of the proposed identification indicator to an apricot frost event that occurred in North Hebei during April 3–9, 2018 revealed that the indicator-based identification result basically coincides with the historical disaster record and can reflect more detailed information about the apricot frost process.

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Threshold‐based characteristics of apricot frost exposure at young fruit in the warm temperate zone, China

Yang

Huang

Huo

et al. 2021

Intl Journal of Climatology

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Late spring frost stress is one of the major environmental limiting factors for apricot in the warm zone in China. Investigation of frost exposure of apricot is of particular interest for estimating the frost risk, thus representing the potential damage for apricot production. In this study, daily minimum temperature (Tmin), disaster and phenological data of apricot from 1981 to 2020 in the warm zone were integrated to explore the temperature threshold on apricot at young fruit, facilitating the assessment of apricot frost exposure (E) under the background of climate warming. The daily Tmin was firstly extracted according to the historical disaster records, to identify the per‐ and ongoing weather conditions of the low‐temperature events. The overall accuracy and Receiver Operating Characteristics curve (ROC) were combined to identify the trigger threshold of apricot frost. 1.9°C was identified as the apricot frost trigger threshold in regional assessment, with relatively higher correct rate for disaster (90.2%) and lower incorrect rate for none‐disaster (23.4%). An area under the ROC curve (AUC) of 0.88 was obtained, demonstrating a good performance of Tmin as the trigger factor in discriminating between apricot frost and no frost. High frequency of days suffered from apricot and frost exposure at young fruit were mainly found in the northwestern and middle parts of the region, with frequencies of more than 2 days and E more than 3. Regional days suffered from apricot frost and E were found to have a negative trend with slope −0.0317 and −0.789, respectively, whereas the northwest and middle part of the study region were found to have an increasing trend. The results can provide technical and theoretical support for targeted apricot frost detection and risk assessment, and measures for apricot frost prevention and mitigation can be implemented according to the threshold‐based results.

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Indicator-based evaluation of spatiotemporal characteristics of rice flood in Southwest China

Cited by 27 publications

References 45 publications

Impact of Climate on Food Security in Mainland China: A New Perspective Based on Characteristics of Major Agricultural Natural Disasters and Grain Loss

Impact of Climate on Food Security in Mainland China: A New Perspective Based on Characteristics of Major Agricultural Natural Disasters and Grain Loss

Process-Based Indicators for Timely Identification of Apricot Frost Disaster on the Warm Temperate Zone, China

Threshold‐based characteristics of apricot frost exposure at young fruit in the warm temperate zone, China

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