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

2019 ◽  
Vol 11 (3) ◽  
pp. 869 ◽  
Author(s):  
Jingpeng Guo ◽  
Kebiao Mao ◽  
Yinghui Zhao ◽  
Zhong Lu ◽  
Lu Xiaoping
Keyword(s):  
Food Security ◽  
Low Temperature ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Mainland China ◽  
Intensity Index ◽  
Mk Test ◽  
Geographical Regions ◽  
Spatio Temporal ◽  
Grain Losses

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 Based on historical documents from 1978-2014, we explored the spatio-temporal variation of five major kinds of natural disasters and grain losses in China using statistical techniques: the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.

scholarly journals Spatio-temporal variations of the major meteorological disasters and its response to climate change in Henan Province during the past two millennia

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12365
Author(s):  
Xiang Li ◽  
Hui Lu ◽  
Zhaokang Zhang ◽  
Wei Xing
Keyword(s):  
Low Temperature ◽  
Correlation Analysis ◽  
Natural Disasters ◽  
Temporal Variations ◽  
Henan Province ◽  
Historical Documents ◽  
The Past ◽  
Meteorological Disaster ◽  
Spatio Temporal ◽  
Meteorological Disasters

In China, historical documents have recorded large quantities of information related to natural disasters, and these disasters have had long-lasting effects on economic and social activities. Understanding the occurrence of the natural disasters and their spatio-temporal variation characters is crucial for sustainable of our society. Therefore, based on the collection and collation of historical documents, and adopting mathematical statistics, Kriging interpolation, correlation analysis and other methods, we systematically explored the meteorological disasters in Henan Province during the past two millennia in analyzing their spatio-temporal distribution characters and driving forces. The results demonstrate that there were five major types of meteorological disasters in Henan Province, including drought, flood, hails, low temperature and frost and insect pests, which presented obvious spatio-temporal variations and have occurred frequently during the past two millennia. According to the historical documents, the major meteorological disasters occurred 1,929 times in Henan from 221 BCE to 2000 CE. On the whole, the disaster frequency show that the occurrence cycle of the meteorological disasters has obvious changes, which mainly occurred in the middle and late stages during the past two millennia, especially after 1300 CE. Furthermore, we also find that the variation of meteorological disaster events is consistent with the variation of temperature in eastern China and the frequency of meteorological disaster increases in the cold period, but decreases in the warm period. In addition, there are obvious differences in the spatial distribution of the major meteorological disaster, which were mainly distributed in the northwest and southern part region of the Henan Province before 1911 CE. While after 1911 CE, the northern and southeastern parts were the meteorological disaster-prone areas in this region during this period. Spatial correlation analysis of each meteorological disaster before and after 1911 CE points out the droughts disaster frequency-occurring district has transferred in different periods, while the hail and low temperature and frost disasters just have a smaller transferred during these two periods. Conversely, the frequency-occurring districts of floods and insect pest disasters have no obviously transferred in different periods. These results can provide an important scientific basis for governmental decision makers and local people to prevent and mitigate meteorological disaster in the future.

scholarly journals Optimasi K-Klasterisasi Ketahanan Pangan Kabupaten Jember Menggunakan Metode Elbow

2021 ◽  
Vol 6 (3) ◽  
pp. 136
Author(s):  
Aski Widdatul Fuadah ◽  
Fajrin Nurman Arifin ◽  
Oktalia Juwita
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Number Of Clusters ◽  
K Value ◽  
Productive Life ◽  
Data Grouping ◽  
The Right

Clustering is a process of grouping data based on similarities or similarities with other members in a group. Food security is the condition of a country to provide food for individuals, which does not conflict with beliefs, religion and culture and leads a healthy, active and productive life. Food instability and food insecurity can be caused by many factors, one of which is natural disasters. In 2020, Jember Regency experienced 121 natural disasters. Determination of the optimal K value is done to get the right number of group divisions from the clustering process, in this case using the elbow method. The data used in the clustering process are sub-districts in Jember Regency using transient attributes or natural disaster events. Based on the results of sub-district data grouping from the number of clusters k=1 to k=10, the optimal k value was found at the value of k = 4 with the SSE (Sum of Square Error) value = 24,809.

When Mother Earth Rises Up

2013 ◽  
Vol 44 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Simona Sacchi ◽  
Paolo Riva ◽  
Marco Brambilla
Keyword(s):  
Free Will ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Mental States ◽  
Disaster Victims ◽  
Willingness To Help ◽  
Mother Earth

Anthropomorphization is the tendency to ascribe humanlike features and mental states, such as free will and consciousness, to nonhuman beings or inanimate agents. Two studies investigated the consequences of the anthropomorphization of nature on people’s willingness to help victims of natural disasters. Study 1 (N = 96) showed that the humanization of nature correlated negatively with willingness to help natural disaster victims. Study 2 (N = 52) tested for causality, showing that the anthropomorphization of nature reduced participants’ intentions to help the victims. Overall, our findings suggest that humanizing nature undermines the tendency to support victims of natural disasters.

Law on Natural Disasters

2018 ◽  
Author(s):  
Ki-Gab Park
Keyword(s):  
Natural Disasters ◽  
International Cooperation ◽  
Natural Disaster ◽  
International Community ◽  
The State ◽  
Efficient Tool ◽  
International Solidarity ◽  
Cooperation Mechanism ◽  
Prior Consent ◽  
Humanitarian Crises

The chapter argues that natural disasters are common concerns in the international community. At the same time, the current international cooperation mechanism, based on the principle of equal sovereignty, require prior consent by the state affected by a natural disaster. Unfortunately, this is not always an efficient tool for the protection of victims. The globalization of problems and the proliferation of humanitarian crises make the veritable solidarity of the international community increasingly necessary, and therefore another high value, namely international solidarity or community obligations, should create direct and immediate obligations for all members of the international community. The main object of this chapter is to discuss the future-oriented direction of the law on natural disasters. This means, first, to ascertain the lex lata, especially customary rules. The chapter further offers some suggestions on possible ways for the international community to provide more effective relief for victims of natural disasters.

scholarly journals Spatio-temporal patterns of scrub typhus in mainland China, 2006-2017

2019 ◽  
Vol 13 (12) ◽  
pp. e0007916 ◽  
Author(s):  
Yujuan Yue ◽  
Dongsheng Ren ◽  
Xiaobo Liu ◽  
Yujiao Wang ◽  
Qiyong Liu ◽  
...  
Keyword(s):  
Scrub Typhus ◽  
Mainland China ◽  
Temporal Patterns ◽  
Spatio Temporal

scholarly journals Return Period Evaluation of the Largest Possible Earthquake Magnitudes in Mainland China Based on Extreme Value Theory

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3519
Author(s):  
Yanbing Bai ◽  
Ning Ma ◽  
Shengwang Meng
Keyword(s):  
Earthquake Engineering ◽  
Return Period ◽  
Extreme Value Theory ◽  
Threshold Model ◽  
Mainland China ◽  
Value Theory ◽  
Extreme Value ◽  
Geographical Information ◽  
Geographical Regions ◽  
The Right

The largest possible earthquake magnitude based on geographical characteristics for a selected return period is required in earthquake engineering, disaster management, and insurance. Ground-based observations combined with statistical analyses may offer new insights into earthquake prediction. In this study, to investigate the seismic characteristics of different geographical regions in detail, clustering was used to provide earthquake zoning for Mainland China based on the geographical features of earthquake events. In combination with geospatial methods, statistical extreme value models and the right-truncated Gutenberg–Richter model were used to analyze the earthquake magnitudes of Mainland China under both clustering and non-clustering. The results demonstrate that the right-truncated peaks-over-threshold model is the relatively optimal statistical model compared with classical extreme value theory models, the estimated return level of which is very close to that of the geographical-based right-truncated Gutenberg–Richter model. Such statistical models can provide a quantitative analysis of the probability of future earthquake risks in China, and geographical information can be integrated to locate the earthquake risk accurately.

scholarly journals Recessive Transition Mechanism of Arable Land Use Based on the Perspective of Coupling Coordination of Input–Output: A Case Study of 31 Provinces in China

Land ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 41
Author(s):  
Yi Lou ◽  
Guanyi Yin ◽  
Yue Xin ◽  
Shuai Xie ◽  
Guanghao Li ◽  
...  
Keyword(s):  
Land Use ◽  
Evaluation Model ◽  
Arable Land ◽  
Temporal Trends ◽  
Mainland China ◽  
Input Output ◽  
Transition Mechanism ◽  
Input And Output ◽  
Spatio Temporal ◽  
Arable Land Use

In the rapid process of urbanization in China, arable land resources are faced with dual challenges in terms of quantity and quality. Starting with the change in the coupling coordination relationship between the input and output on arable land, this study applies an evaluation model of the degree of coupling coordination between the input and output (D_CCIO) on arable land and deeply analyzes the recessive transition mechanism and internal differences in arable land use modes in 31 provinces on mainland China. The results show that the total amount and the amount per unit area of the input and output on arable land in China have presented different spatio-temporal trends, along with the mismatched movement of the spatial barycenter. Although the D_CCIO on arable land increases slowly as a whole, 31 provinces show different recessive transition mechanisms of arable land use, which is hidden in the internal changes in the input–output structure. The results of this study highlight the different recessive transition patterns of arable land use in different provinces of China, which points to the outlook for higher technical input, optimized planting structure, and the coordination of human-land relationships.

scholarly journals Do Long-Term Natural Disasters Influence Social Trust? Empirical Evidence from China

2021 ◽  
Vol 18 (14) ◽  
pp. 7280
Author(s):  
Yao Li ◽  
Haoyang Li ◽  
Jianqing Ruan
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Social Trust ◽  
Geographical Location ◽  
Household Survey ◽  
Flood Frequency ◽  
Psychological Characteristics ◽  
The North ◽  
The Impact

The natural environment is one of the most critical factors that profoundly influences human races. Natural disasters may have enormous effects on individual psychological characteristics. Using China’s long-term historical natural disaster dataset from 1470 to 2000 and data from a household survey in 2012, we explore whether long-term natural disasters affect social trust. We find that there is a statistically significant positive relationship between long-term natural disaster frequency and social trust. We further examine the impact of long-term natural disaster frequency on social trust in specific groups of people. Social trust in neighbors and doctors is stronger where long-term natural disasters are more frequent. Our results are robust after we considering the geographical difference. The effect of long-term natural disasters remains positively significant after we divide the samples based on geographical location. Interestingly, the impact of long-term flood frequency is only significant in the South and the impact of long-term drought frequency is only significant in the North.

Potential of sociohydrology for studying natural disasters

2021 ◽  
Author(s):  
Franciele Maria Vanelli ◽  
Masato Kobiyama
Keyword(s):  
Natural Disasters ◽  
Risk Reduction ◽  
Natural Disaster ◽  
Local Community ◽  
Spatial Scales ◽  
Social Aspects ◽  
Exploratory Research ◽  
Disaster Studies ◽  
Dichotomous Thinking ◽  
Bidirectional Interactions

<p>Natural disasters refer to disruptions of the society’s functioning as result of negative interactions between natural hazards and social organization. Meanwhile, sociohydrology is dedicated to understanding the coupled human-water systems feedbacks. Both natural disaster studies and sociohydrology focus on understanding bidirectional interactions between environmental and social aspects, which is characterized by a dichotomous thinking pattern. In this context, natural disaster studies and sociohydrology have many parallels. In the present research, we conducted an exploratory research from two central arguments: (i) sociohydrology development can contribute to understanding how to disaster risk reduction by converting negative impacts into a harmonious coexistence between natural and social interactions; and (ii) water is relevant to all types of natural disasters in a direct or an indirect manner and is also fundamental in disaster response. Advances in knowledge about bidirectional interactions between environmental and social aspects overcoming dichotomous thinking pattern can update the sociohydrology development and the concepts commonly applied to natural disaster and risk reduction. We propose that any local community should use the school catchment concept that refers to any experimental catchment which serves for scientific researches and environmental education activities. The partnership between natural and social scientists and society is a challenge. Thus, school catchment construction and use can assist to overcome dichotomous thinking such as natural × social aspects, quantitative × qualitative analyses, systematic × non-systematic data, global × local spatial scales, and structural × non-structural measures. Hence, sociohydrology can support the integrated management of water resources and natural disasters and risks, contributing to achieving the Sendai Framework goals and the Sustainable Development Goals of the United Nations Agenda 2030. On the other hand, natural disaster studies can contribute to the interdisciplinary or transdisciplinary development of sociohydrology. Therefore, we conclude that sociohydrology has the potential, not yet explored, for contributing to natural disaster studies and vice and versa.</p>

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