Dynamic risk assessment of waterlogging disaster to spring peanut (Arachis hypogaea L.) in Henan Province, China

Liu, Cong; Li, Kaiwei; Zhang, Jiquan; Guga, Suri; Wang, Rui; Liu, Xingpeng; Tong, Zhijun

doi:10.1016/j.agwat.2022.108094

Cited by 8 publications

(2 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is crucial to conduct a thorough assessment of the impact that waterlogging disasters have on agricultural areas to ensure food security. Moreover, at the regional scale, quantitative research concerning the intensity and impact of waterlogging occurring during crop growth periods (crop waterlogging for short) can provide support for many issues, including optimizing drainage schedules by identifying high-risk regions and periods [3], regional-scale monitoring and early warning of crop waterlogging [4], regionalscale rapid estimation of waterlogging-induced yield loss in the end of crop growing [5], and predicting future crop waterlogging trends in different regions based on future climate simulation datasets, e.g., CMIP6 [6].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Impacts of Waterlogging Disasters on Wheat and Maize Yields in the Middle and Lower Yangtze River Region, China, by an Agrometeorological Index

Wang,

Qian,

Dong

et al. 2023

Agronomy

View full text Add to dashboard Cite

Waterlogging disasters severely restrict crop production. The middle and lower Yangtze River region (MLYRR) is an important grain-producing region in China but suffers from severe waterlogging disasters. In this study, an agriculture-specific index called the accumulative humidity index was introduced to analyze the spatiotemporal characteristics of waterlogging during different wheat and maize growth stages in the MLYRR from 1960 to 2020. Additionally, the relationships between waterlogging intensities and crop yield fluctuations were revealed. The results showed that over the past 60 years, the intensity of wheat and maize waterlogging in the central and eastern MLYRR have increased; crop waterlogging was more intense in the 1990s–2010s than during the 1960s–1980s, and waterlogging intensity peaked in the 1990s. For both crops, waterlogging was more intense during the early growth stages, but its yield-reducing impacts were more significant during middle and late growth stages. The southern MLYRR (especially southern Anhui) was the region where both crops were most prone to waterlogging, but yields in this region were not severely affected by waterlogging. Compared with wheat, maize was more prone to waterlogging, and its yield was more significantly reduced by waterlogging. In conclusion, this study provides guidance for agricultural waterlogging risk reduction in the MLYRR.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluating the Impacts of Waterlogging Disasters on Wheat and Maize Yields in the Middle and Lower Yangtze River Region, China, by an Agrometeorological Index

Wang,

Qian,

Dong

et al. 2023

Agronomy

View full text Add to dashboard Cite

show abstract

“…Hu 31 and Zhu et al 32 suggest screening and extracting elemental features associated with cost and financial risks from massive data and improving the overall model performance through deep learning methods. Liu 33 and Liu et al 34 improved the disaster risk assessment model to address the issue of insufficient accuracy in traditional quantitative risk assessment methods. Yang et al 35 and Guo et al 36 constructed a risk indicator system by combining multiple characteristic parameters and divided the evaluation structure into multiple levels from top to bottom to enhance the effectiveness of complex system risk assessment.…”

mentioning

confidence: 99%

Risk Assessment of Equipment Research Project Costs Based on FAHP-CRITIC Combined Weights for 2D Cloud Models

Zhu,

Sun,

Chen

et al. 2024

Preprint

View full text Add to dashboard Cite

The development process of equipment research projects is fraught with uncertainties, making it challenging to provide an accurate and objective evaluation of their development costs. To enhance the accuracy of cost prediction for equipment research projects, it is essential to consider the cost risk level and conduct relevant research on cost risk assessment. This study proposes an improved two-dimensional cloud model that integrates qualitative concepts and quantitative data for researching equipment projects. An assessment index system is constructed with three primary indicators and twelve secondary indicators. The main factors affecting the cost are comprehensively considered. The probability of overspending and the degree of impact of overspending are taken as the basic variables for assessing each indicator according to the definition of cost risk. The study combined the Fuzzy Analytic Hierarchy Process (FAHP) method with the Criteria Importance Though Intercrieria Correlation (CRITIC) method using the cooperative game method to determine the weights of each assessment indicator. Subsequently, a two-dimensional cloud model was established to obtain the cloud eigenvalues. A two-dimensional cloud diagram was drawn through MATLAB to initially determine the risk level, and the closeness was calculated to accurately determine the results. Finally, using a specific anti-mine system as an example, we verified the validity and feasibility of the model by comparing it with the traditional method. The results demonstrate that the improved two-dimensional cloud model can overcome the ambiguity and randomness of data in cost risk assessment and can provide a reference for other scientific research projects of the same type.

show abstract

Spatial-temporal distribution and hazard assessment of maize lodging in a synergistic disaster environment

Wei,

Zhang,

Wang

et al. 2023

Agricultural and Forest Meteorology

View full text Add to dashboard Cite

Dynamic risk assessment of waterlogging disaster to spring peanut (Arachis hypogaea L.) in Henan Province, China

Cited by 8 publications

References 68 publications

Evaluating the Impacts of Waterlogging Disasters on Wheat and Maize Yields in the Middle and Lower Yangtze River Region, China, by an Agrometeorological Index

Evaluating the Impacts of Waterlogging Disasters on Wheat and Maize Yields in the Middle and Lower Yangtze River Region, China, by an Agrometeorological Index

Risk Assessment of Equipment Research Project Costs Based on FAHP-CRITIC Combined Weights for 2D Cloud Models

Spatial-temporal distribution and hazard assessment of maize lodging in a synergistic disaster environment

Contact Info

Product

Resources

About