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Review

Human–Environment Natural Disasters Interconnection in China: A Review

by
Rawshan Ali
1,2,*,
Alban Kuriqi
3 and
Ozgur Kisi
4
1
College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China
2
Department of Petroleum, Koya Technical Institute, Erbil Polytechnic University, Erbil 44001, Kurdistan, Iraq
3
CERIS, Instituto Superior Tecnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal
4
School of Technology, IIia State University, Tbilisi 0162, Georgia
*
Author to whom correspondence should be addressed.
Climate 2020, 8(4), 48; https://doi.org/10.3390/cli8040048
Submission received: 22 January 2020 / Revised: 21 March 2020 / Accepted: 25 March 2020 / Published: 26 March 2020
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Abstract

:
This study aimed to assess the interrelationship among extreme natural events and their impacts on environments and humans through a systematic and quantitative review based on the up-to-date scientific literature. Namely, the main goal was to add additional knowledge to the existing evidence of the impacts related to floods, droughts, and landslides on humans and the environment in China; this in order to identify knowledge gaps in research and practice to aid in improving the adaptation and mitigation measures against extreme natural events in China. In this study, 110 documents were analyzed in the evaluation of several impacts triggered by extreme events. Records were obtained from Scopus and Web of Science and examined with a text mining instrument to assess the pattern of publications over the years; the problems linked to extreme weather events were investigated, and the study gaps were discussed. This paper extends work by systematically reviewing recent evidence related to floods, droughts, and landslides in China. We listed the critical studies that focused on the impact of extreme events on both humans and the environment described in current reviews. The findings revealed that goods safety, social safety, and financial losses are of significant concern to the scientific community due to extreme natural events, which from our analysis resulted in being more frequent and intense. It is still underdeveloped to implement distant sensing and imaging methods to monitor and detect the impact of severe weather occurrences. There are still significant study gaps in the fields of the effects of extreme weather events. The analysis result shows that extreme events are increased during the time, so more in-depth investigation and efforts on adaptation, mitigation measures, and strategical governance plans are desperately required.

1. Introduction

The Intergovernmental Panel on Climate Change (IPCC) depicts an Extreme Weather Event [1] as unusual or less than the 10th or 90th percentile of an estimated likelihood density function [2]. The increasing frequency of extreme weather events (EWE) associated with climate change [3,4] is a severe threat to agriculture and living beings. The long-lasting socioeconomic costs of heatwaves, floods, wildfires, hailstorms, and other EWE pose significant threats to farmers and communities, especially considering future predictions of climate change (CC) intensity, frequency, and spatiotemporal scope [3,5,6]. Weather disasters in China are causing billions of Chinese Yuan of damage, and significant loss of life [7]. Every year, in various regions across China, droughts, floods, landslides, or other weather disasters caused death, destruction, and significant agricultural losses [7,8,9,10,11,12,13,14]. Over the past several decades, extreme weather events have become increasingly frequent and severe. Extreme weather events can have severe harmful effects on crop yield and, therefore, the production of agricultural products [3,5,6]. During critical growth phases, most crops are sensitive to the direct effects of high temperature, decreased precipitation, flooding, and premature freezing. Through influences on soil processes, nutrient dynamics, and pest organisms, other effects on crops are indirect [15,16].
The latest climate scenarios are characterized by a rise in extreme and uncertain occurrences [5]. In the ten years leading up to 2011, flooding was the most prevalent form of catastrophes worldwide, liable for nearly half of natural disaster victims and approximately US$ 185 billion in financial losses. Floods are anticipated to increase in intensity and frequency owing to rising sea levels and the frequency of extreme precipitation events [2,17].
Increasing urbanization also means that more individuals are subjected to flooding incidents [18]. Although hydraulic models facilitate flood prediction [19,20,21] and help water managers to develop adaptation plans for the most vulnerable zones; still, China has dramatically experienced heavy losses over time from floods that covered a large area of land and caused substantial financial losses. In several cases, appropriate design of protection measures, such as dikes, may result in catastrophic floods [22]. Floods threaten around 0.10 of China’s land and 0.70 of both industrial sectors and agriculture gross production value [7]. In the 1950s, the yearly flood-affected farmland region was, on average, 10.07 million km2. By the 1990s, the annual flood-affected agricultural area had grown to 15.81 million km2, and the non-farm areas not characterized as experiencing “floods” but as experiencing “disasters” had 9.01 million km2 [10,23,24,25]. Since the beginning of the 21st century, the yearly agricultural region impacted by floods and disasters has substantially dropped to about 10.73 million km2 [5,7,26,27]. Because of efficient flood disaster prevention programs, the number of casualties was also reduced considerably from an average yearly toll of roughly 5200 fatalities in the 1960–2000 era to approximately 2000 in the initial ten years of the 21st century [25]. Figure 1 shows the most vulnerable regions in China, and the pictures show some consequences of floods in those regions.
Droughts can have significant effects on water and heat’s regional or even worldwide spatial-temporal patterns [28,29,30,31]. Frequent severe droughts dramatically diminish water supplies and have a substantial impact on global ecosystems and socio-economic growth [4,15,32,33,34,35,36,37].
China is included within the monsoon zone with a varied and complex setting and terrain. Global climate change has influenced China’s temporal and spatial water and heat dissemination, leading to variation in biogeochemistry cycles. Climate change has altered the seasonal variation in atmospheric circulation-controlled precipitation [38,39]. Climate change has increasingly affected dryness, as well as contributes to the extreme rainfall shortage, more and more, which has become more severe due to anthropogenic pressures [40,41]. For example, North China’s droughts in 2009 affected 157 million acres of farmland, and the extreme dryness in Southwest China between 2009 and 2010 reduced bread-basket production to 120 million acres. Droughts each year have affected about one-sixth of China’s cultivated land, causing severe loss of grain. The drought-induced crop output decline is estimated to be around 1500–2500 million tons every year, representing approximately 4–8% of grain production and over 55% of total natural catastrophe losses in China.
Climate change has increasingly affected dryness, the extreme shortage of rainfall. For instance, the droughts in North China in 2009 caused 157 million acres of farmland to be affected, and from 2009 to 2010, the severe droughts in Southwest China reduced the production to 120 million acres [2] Droughts have affected about one-sixth of China’s cultivated land over the last ten years and have caused severe grain losses. The drought-induced crop yield is estimated at 1500–2500 million tons per year, approximately 4–8% of grain production and more than 55% of overall natural disaster losses in China [42]. Researching the spatial-temporal variation of drought in China for sustainable development, especially agriculture and food security, is, therefore, of great importance [43].
Spatial variability in the flood hazard index in China is presented in Figure 1. Learning from the spatial trend showing the 1-in-100-year AMDP (annual maximum daily precipitation), it was found that the region with the highest flood threat consisted of the eastern coastal provinces and municipalities of Sichuan and Chongqing and the areas along the Yangtze River’s middle reaches [25]. Therefore, researching the spatial-temporal variability of drought in China for sustainable growth, especially in food and agriculture safety, is of great importance [44].
Figure 2 shows the most vulnerable regions in China, and the pictures show some consequences of droughts in those specific regions. It also indicates the discreet severe drought in some parts of southern China, while the northwest deserts are neither in severe drought nor mild drought, which does not fit with the fact that the drought in China has become more and more severe from the southeast to the northwest [44].
Landslides are one of the most damaging geological disasters having the characteristics of a fast velocity, as well as a lengthy runout distance and impact on the terrain [45]. Heavy rainfall, earthquake, and engineering activity often trigger catastrophic landslide events. Based on the sliding body’s spatial features and trajectory, the entire landslide motion process is primarily split into three phases: the beginning stage at the source region of the slide, the propagating phase, and the deposition phase [46]. Furthermore, during the landslide motion, there is entrainment, base liquefaction, and air cushioning. Risk assessment is often required to decrease the loss of landslide hazard [45]. The analysis of landslide runout is an extremely compelling strategy for assessing a landslide hazard. The maximum running distance, the velocity of propagation, and the deposit thickness form the basis for designing measures of remedial engineering, and were, for example, obtained through an analysis of the runout of the Zhengjiamo landslide on 12 August 2010, which took place in the residential area of Taijing Town, Tianshui City, Province of Gansu, northwest China (Figure 3).
Analysis of landslide runout includes two essential points: mapping past landslides and forecast of potential landslides [46]. Runout examination, such as barricades and berms, can be utilized for designing measures of remedial engineering [47]. The slope failure was activated by an earthquake in 734 cases, as per local records and past studies. [48]. The landslide slid with a first sliding direction of 165°–170° along with the bedrock layer. The soil conditions of the sliding body were investigated by analyzing and interpreting five exploratory boreholes (Figure 3) [49,50]. The slipped area from the boreholes is around 2–3 mm thick. The landslide’s sliding surface is a weak interlayer, consisting predominantly of mudstone blended with a soft interlayer. Figure 3 shows the most vulnerable regions in China, and pictures show some consequences of landslides in those specific regions [51]. Many studies have focused on the extreme climate and its change in China and surrounding areas over the past decade, and here we provide a review of this topic The subjects covered extreme events, flooding, drought, and landslides [11,13,25,35,44,46,47,50,52,53,54,55,56,57,58,59]. We discussed observational characteristics based on meteorological readings and atmospheric reanalysis, and assess the interrelationship among extreme natural events and their impacts on environments and humans through a systematic and quantitative-based review of the up-to-date scientific literature. Namely, the main goal was to add to the existing evidence of the impacts of floods, droughts, and landslides on humans and the environment in China. The paper is composed as follows: Section 2, methodologies; Section 3, primary outcomes and discussion; and, finally, the final remarks and outlook on future research are presented in Section 4.

2. Materials and Methods

A literature search was conducted using Scopus and Web of Science databases. The search was limited to papers published in English between 2000 and 2020. Moreover, keywords of extreme occurrences in China, such as flood, drought, and landslide, restricted these searches. The original search produced references for which abstracts were examined to exclude studies that did not fulfill the inclusion criteria, defined as flood events, drought events, and landslides throughout China. The authors then evaluated the full texts of the remaining papers critically. The original search for the three incidents is shown in Figure 4: flood, n = 23797; drought, n = 14178; and landslide, n = 3865—after removing duplicates and articles not linked to the three occurrences. The study’s objective is to add evidence of flood, droughts, and landslide impacts in China on humans and the environment. It happened in China; therefore, it is crucial to find gaps in the knowledge in research and practice to improve events.
The purpose of the Class 1 review was to provide a general overview of the state-of-the-art research on extreme weather events, analyzing the pattern in the number of documents released between 2000 and 2020. Then the terms included in the dataset were grouped into abstract clusters to document the scientific community’s main topics related to EWE. The established clusters were flood, drought, landslide, people, and climate. For each group, a word frequency analysis was carried out to identify the research hotspots and tendencies. The conceptual classification model is reported in Figure 4. In addition to the abovementioned empirical studies, the Class 2 dataset was developed through an in-depth analysis to provide a complete overview of the state-of-the-art in adaptation and mitigation of extreme weather events. A frequency research was carried out, contributing writers and sites within the classes of publications.
The terms in the title, keywords, and abstract were analyzed to identify potential interrelationships between topics and interconnections between extreme weather events and mitigation and adaptation. The extraction of the data set was based on a two-stage review. The first stage was aimed at carrying out a general discussion of the state-of-the-art of research on the human and environmental impact of extreme weather events. This goal was accomplished by the collection of records relating to EWE in the social and environmental subject area (Class 1). Stage two allowed the quest to be refined, combining extreme weather events with adaptation and mitigation (Class 2). Table 1 shows the scripts used to extract the words submitted for text mining.

3. Results and Discussions

After evaluating the full texts, the number and year of publication of those that remained are shown in Figure 5. This article expands previous [18] systematic reviews regarding the latest information relating to flooding, drought, and landslide events; 91 main studies in current reviews, and some new categories were considered.
Figure 6 shows the relationship between the year and the number of events. As seen from the figure, the extreme events increased in time, so more studies on mitigation strategies and governance schemes are desperately required. This paper extends work by systematically reviewing recent evidence related to floods, droughts, and landslides in China. We listed below, in Table 2, Table 3 and Table 4; the key studies that focused on the types of human and environmental events described in the current reviews.
The latter included both human and environmental effects. We discovered that while most short-term effects are well documented, there is a need for a more robust understanding of longer-term impacts. The full texts of all remaining papers were critically evaluated and included in Table 2 for review.

3.1. Droughts

Droughts can have significant impacts on the national or even worldwide spatial-temporal structure of water and heat [43,44,60]. Frequent severe droughts severely decrease the availability of water and have a notable effect on the ecosystem and socio-economic growth of China [7,43,60,61,62,63]. China has the largest monsoon climate area in East Asia, where climate and landscape are diverse and complicated. Global climate change has altered China’s temporal and spatial allocation of water and heat assets, leading to modifications in biogeochemical cycles that have altered the seasonal precipitation variability regulated by atmospheric circulation [64]. Climate change has increasingly influenced dryness, through a severe lack of rainfall [65]. Table 2 shows the characteristics of the critical studies of droughts.

3.2. Floods

Flood occurrences are the most frequent and damaging natural disasters, accounting for nearly half of all the natural disasters over the previous decade [10,25,76,77]. Due to severe precipitation occurrences and rising sea levels, flood frequency and intensity are expected to increase climate change situations [2,53]. China is currently one of the most flood-prone countries in the world and expected to experience considerably more changes than the global average in its climate this century [53]. Floods can trigger significant health losses, including deaths, accidents, mental health issues, communicable diseases, vector-borne illnesses, and waterborne diseases [18]. Table 3 shows the characteristics of the key studies for floods.

3.3. Landslides

Landslides are a very complicated natural phenomenon that create a severe loss of lives and assets throughout China [8,11,49,50,58,82,83,84,85,86,87]. Over the years, many government agencies have sought alternatives to mitigate the catastrophic consequences of landfill slides by teaching individuals to understand the severe impacts of landfill slides better and by creating proper scheduling for mitigation and decision-making tools [48,56,57]. This procedure is generally performed by identifying and mapping of the regions susceptible to landslides. These maps are produced dependent on a landslide susceptibility evaluation, which is a relative distribution of landslide probabilities in a specified area dependent on local geo-environmental variables [8,84,88]. Through the background of the research of landslides activated by the earthquake, scientists endeavored to know the essentials of the landslide events, processes, and ranges triggered by the quake [8,11,47,48,49,58]. Researchers have sought to explore the spatial allocation models and control variables of these landslides. Table 4 shows the characteristics of the key studies for landslides.
The migration–environment relation is not a recent trend. Environmental issues have also affected mobility in the community. Populations have always been prone to migrate in reaction to changes in the climate [102]. Urban migrants have emerged as a new status community within Chinese society since the mid-1980s [103]. Deng [104] found that natural disasters increase the small magnitude of migration.
Nevertheless, the migrant framework is substantially altered. Some rural residents are forced to migrate, but had there been no natural disasters, they would have remained in the countryside. Many are forced to relocate due to natural disasters and, relative to urban residents and other refugees, have the lowest level of income in the cities. The chances are that natural disaster-driven migration will adversely affect the civil protection. Pei [105] made the first attempt toward such a study, showing that the long-term impact of natural disasters on rural migration is short-term and almost instantaneous. Even though the agrarian society has a low buffering ability, the short-term effects of natural disasters may be somewhat eased. Given their limited forcefulness, however, population pressure will drive migration on a long-term scale [105]. The continuation—and enhancement—of opportunities to engage in conservation programs would be critical in reducing the environmental impacts of the combined effects of human interference and natural disasters, and not only in the area studies here, but also in many disaster-prone regions around the world [106].

3.4. Extreme Weather

The variations in extreme temperatures are most apparent among the extreme climate categories in China. China’s average temperature is similar to the global mean temperature [6]. Extreme weather directly causes large portions of climate-related disasters [5,6]. Thus, climate change instability and long-term patterns have been important subjects of work on climate change. Understanding the observed changes in different types of extreme climate, improving the ability of climate models to reproduce the observed changes, and improving the techniques for projecting future changes in both dynamic and statistical approaches are equally important tasks for extreme climate studies [5,6]. First, in recording past changes in extreme climates in China, there are uncertainties. Changes in station sites and urbanization have had a significant impact on climate records. Homogeneity adjustments are therefore necessary to obtain the real trends for both mean climate and extreme climate [38], which is especially crucial for understanding extreme climate. Up to 20–30% of meteorological stations have been moved due to urbanization, mostly from near-city or urban locations to rural areas [10,23,90]. The length of the instrumental records is another concern. Because interdecadal variations are often combined with climate change signals, sufficiently long time series are required to differentiate climate change signals from interdecadal varieties [107,108]. Therefore, it will be useful for our studies to obtain meteorological data from Chinese historical documents (many of which contain meteorological information) over the past 3–5 centuries. Tree rings and many other proxy data sets are also useful to extend the record and facilitate climate change research, interdecadal variation, and persistent extreme events. Although state-of-the-art climate models can replicate some observed characteristics of global average temperature and other quantities, their capacity to simulate extreme local climate is generally low except for extreme events. Extreme weather events attract a great deal of attention; climate change primarily damages human health by exacerbating existing disease burdens and adverse impacts on daily life among those with the weakest health protection systems and with the least adaptability. Therefore, most estimates suggest that poor and disenfranchised groups will bear the highest risk and, internationally, the highest-burden will fall on developing countries, especially poor children, who are today most affected by such climate-related diseases like malaria, undernutrition, and diarrhea.
Nevertheless, climate change’s complex and global implications mean that higher-income communities can also be impacted by extreme events, evolving threats, and shifting impacts from more vulnerable populations. Climate extremes are especially challenging to research not only because of their rareness but also because of their background dependency, both in terms of the available (or selected) climate record and what the ecosystem and it is component species have encountered before [109]. As a consequence of this background dependency, ecological responses to climate changes can vary from little or no response to significant or “extreme” reactions (e.g., in terms of the distribution of possible environmental interventions, such as widespread mortality of an over-story tree species). As argued in this Special Issue’s first paper [109], ecologists’ significant challenges are deciding when an extreme climate occurs, when an ecological response is intense, and most critically, clearly attributing the extreme environment as the cause of the exaggerated ecological response. This latter case is characterized as an extreme climatic event (ECE), with the environmental and climatic combination of the extremity [109]. The value of the distinction between climate extremes and ECEs is evident in the paleoecological records of extreme ecological responses. These are standard features, such as state changes or regime shifts, but are not always attributable to extreme climate or even abrupt climate change. This distinction also can make it easier to determine how and why ecosystems can differ in their sensitivity to extreme climatic conditions, an issue addressed in more detail below. It follows from Smith’s theoretical claims (2011) [109] that it is necessary to define both extreme climatic and extreme ecological responses to assess whether an ECE has taken place. The concept of extreme climate was relatively straightforward and was generally based on the statistical distribution of an environment variable for any system (Figure 7).
The prediction of a changing climate and/or instability is that in the future extreme climate will become more frequent and more severe [6]. This increase in frequency and intensity must be modeled on a fixed frame of reference or climatic context (e.g., historical climate record for a site) due to the quantitative nature of the description. For example, a change in mean temperatures to warmer conditions will result in a higher number of extremely high temperature based on the current statistical distribution (red shaded region, Figure 7), mainly if there is also increased variance around the mean. However, if the climate baseline is allowed to shift with an increase in the mean and/or change in the distribution of a climate variable, then significantly lower climatic conditions would be considered extreme based on a 5% statistical probability of occurrence (dark red shaded area, Figure 7). This statistically based outcome would occur even though periods of climatic extremity would be much more common from the system’s organisms (i.e., red + dark red shaded areas, Figure 7) relative to the conditions they had experienced before. This illustrates the value of setting fixed climate baselines to identify extreme climatic conditions. A fixed reference set for a standard period—e.g., the pre-industrial global concentration of atmospheric CO2 of 280 ppm—proved invaluable in studies of high atmospheric CO2 emissions. For extreme climate research, system-specific fixed climate baselines would provide the appropriate parameters for determining how extreme intensity and severity would change with current and future climate change scenarios and allow a more detailed assessment of when an extreme climate event will occur.
Climate extremes (e.g., those with a statistical probability of occurrence of 5%; dark blue and yellow portions of the “present” climate curve; light blue and dark red parts of the “future” climate curve) are expected to become more frequent and violent with changes in climate context and/or changes in climate variables distribution (red shaded area). However, with a fixed climate baseline, this increase is detectable. The climate baseline will shift (arrow) with future climate change. Consequently, far fewer climate conditions would be considered extreme based on the statistical definition (dark red shaded area), and the system’s species can undergo many more climatic extreme cycles (white + dark red shaded areas). Consequently, there is a strong need for ecological studies to create a fixed and standardized climate baseline—similar to that for atmospheric CO2 studies (e.g., c. 280 ppm)—to improve our ability to interpret how temperature conditions can be altered by future climate change and to understand its effect on ecological systems [6].

4. Final Remarks and Outlook on Future Research

Given the relatively recent expansion of interest in the topic of Chinese extreme weather events, a literature review was needed to take stock of the situation and contribute to a better understanding of the research structure. Our study made a significant improvement in the drought, flood, and landslide monitoring index, and the result could provide references for China’s extreme weather events, which are useful for policy-making regarding climate change. This paper considers the effect of exaggerated vents on humans and the environment in China. Our study mentioned that more intense floods, drought, and landslides would happen in the future. A comprehensive analysis of impacts, consequences, and approaches to cope with extreme weather events was provided in this report in the human and environmental field. Despite the growing interest in extreme weather events, the findings of this work have shown that several gaps still need to be fulfilled. Furthermore, the empirical analysis findings suggest that future efforts will concentrate on flood events as they occur more often. The method used in this study required a high number of papers to be reviewed and research gaps to be identified. The availability of single words derived from the name, keywords, and abstract, on the other hand, does not provide the global perspective and lemma relationship. It also must be considered that the review of the text incorporates the definition of single words connected to other industries and is not applicable to the study’s objectives.
When designating and implementing climate change adaptation and catastrophe risk management strategies and policies, more thought needs to be given to reducing severe occurrences and improving resilience to the adverse effects of events, promoting the sustainable development of society and the economy. Based on the information described in this study, high-priority regions can be defined for fast and significant advancement in enhancing knowledge of extreme weather and climate and creating adaptation policies for extreme events in China. The future adaptation and mitigation will be measured, including continuous development and maintenance of high-quality climate monitoring systems to enhance our ability to monitor and detect coming weather and climate changes. Efforts to digitize, homogenize, and evaluate long-term analyses of information findings to strengthen our trust in previous climate modifications. Weather observation systems should adhere to the observation norms that are compatible with climate and weather study communities, thus meeting the requirements to enhance the management capacity to detect observed changes in extreme climate. Establishing annual, regional-scale climate reconstructions for long-term historical records would support strengthening our understanding of regional climate variability in the very long-term period. Improvements of our knowledge of hurricane intensity mechanisms would lead to better short-term and long-term predictive capacities, and more comprehensive access to highly temporal (i.e., daily, hourly) information from previous and future climate model simulations to enable a better knowledge of the potential modifications in extreme weather and climate. Enhanced communication between the climate science community and those making climate-sensitive choices to improve our understanding and impact of climate extremes is necessary. A reliable database that connects extreme weather and climate change with their effects is needed, including damage and expenses under evolving socio-economic circumstances. Preparedness is the key to proactive planning measures for agricultural risk management, and weather and climate preparedness plans need to create and integrate comprehensive insurance and financial policies into their general long-term programs. Crop insurance is a significant choice for risk management. A safety net of emergency relief needs to be maintained to highlight the sound management of natural resources. It is necessary to coordinate the mix of preparedness programs and emergency reaction measures effectively, efficiently, and customer-oriented. The long-term approach is threefold: (i) preparedness to enhance response and restoration efficiency, such as by setting up early warning systems; (ii) mitigation measures to decrease the effect of pre-occurrence extreme occurrences or natural disasters; and (iii) adaptation strategies to prepare and manage the potential impacts of severe phenomena or natural disasters. Weather and climate understanding should be integrated into agricultural production planning and management choices. Sustainable, optimized production levels can be achieved by using weather and climate information effectively, while maintaining the integrity of the environment and minimizing degradation of soil, nutrients, and water bases. Lastly, technology (fertilizers, fresh seed varieties, and farming methods) should help manufacturing in the long run, but not damage the resource bases there.

Author Contributions

Conceptualization, R.A., A.K. and O.K.; Data curation, R.A.; Formal analysis, R.A. and A.K.; Supervision, O.K.; Writing—Original draft, R.A.; Writing—Review and editing, R.A., A.K. and O.K.; all authors collaborated in carrying out this research. All the authors read and accepted the final version of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

The authors wish to sincerely thank the China Scholarship Council, China Three Gorges University, for funding this study. Alban Kuriqi received a Ph.D. grant by Fundação para a Ciência e a Tecnologia, I.P. (FCT), Portugal, under the Ph.D. Program FLUVIO–River Restoration and Management, grant number: PD/BD/114558/2016.

Acknowledgments

The authors wish to thank the China Scholarship Council and China Three Gorges University.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. The central panel shows the flood hazard index over China (after [25]). (a) Submerged neighborhood in Jiangxi province (credits: REUTERS); (b) high water level rise in Changsha, Hunan province (credits: Xinhua); and (c) Dajing city, Zhejiang province under floods, August 2019 (credits: VCG).
Figure 1. The central panel shows the flood hazard index over China (after [25]). (a) Submerged neighborhood in Jiangxi province (credits: REUTERS); (b) high water level rise in Changsha, Hunan province (credits: Xinhua); and (c) Dajing city, Zhejiang province under floods, August 2019 (credits: VCG).
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Figure 2. The central panel shows spatial distribution of drought frequency in China (after [44]. (a) Massive dead fish in a dried lake located in inner Mongolia (credits: http://earth-chronicles.com); (b) rice cultivated land, lack of soil moister and deep cracks in Xinqiao Township, southwest China’s Yunnan Province, July 8, 2015 (credits: Xinhua/Yang Zongyou); and (c) Former Shima reservoir at Shima Village of Shaoyang County, central China’s Hunan Province, July 27, 2013, completely dried-up (credits: Xinhua/Yang Zongyou).
Figure 2. The central panel shows spatial distribution of drought frequency in China (after [44]. (a) Massive dead fish in a dried lake located in inner Mongolia (credits: http://earth-chronicles.com); (b) rice cultivated land, lack of soil moister and deep cracks in Xinqiao Township, southwest China’s Yunnan Province, July 8, 2015 (credits: Xinhua/Yang Zongyou); and (c) Former Shima reservoir at Shima Village of Shaoyang County, central China’s Hunan Province, July 27, 2013, completely dried-up (credits: Xinhua/Yang Zongyou).
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Figure 3. The central panel shows hazard landslides map over China. (a) Massive landslide in Zhouqu on August 12, 2010, in northwest China’s Gansu province destroyed several houses and many people died (credits: FREDERIC J. BROWN/AFP/Getty Images); (b) residential buildings collapsed during a landslide in Xiangning county in Shanxi province (credits: Handout); and (c) buildings collapse during a landslide in Shenzhen, Guangdong province (credits: REUTERS).
Figure 3. The central panel shows hazard landslides map over China. (a) Massive landslide in Zhouqu on August 12, 2010, in northwest China’s Gansu province destroyed several houses and many people died (credits: FREDERIC J. BROWN/AFP/Getty Images); (b) residential buildings collapsed during a landslide in Xiangning county in Shanxi province (credits: Handout); and (c) buildings collapse during a landslide in Shenzhen, Guangdong province (credits: REUTERS).
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Figure 4. Flow chart of the article selection process. “n” stands for the number of publications.
Figure 4. Flow chart of the article selection process. “n” stands for the number of publications.
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Figure 5. The relationship between year and number of papers for three events.
Figure 5. The relationship between year and number of papers for three events.
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Figure 6. The relationship between year and number of events.
Figure 6. The relationship between year and number of events.
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Figure 7. Qualitative representation of the climate extremes evolution modified from [6].
Figure 7. Qualitative representation of the climate extremes evolution modified from [6].
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Table
Table 1. The scripts used to extract.
Table 1. The scripts used to extract.
ClassScript of Extraction
1. Extreme Weather Events (subject environment and human)(TITLE-ABS*-KEY (extreme AND weather AND event in China)) AND (LIMIT-TO (SUBJAREA, "Environment and Human"))
2. Extreme Weather Events (Mitigation and Adaptations)(TITLE-ABS-KEY (extreme AND weather event in China)) AND (TITLE-ABS-KEY (Adaptation and Mitigation))
* ABS—Abstract; KEY—Keywords.
Table
Table 2. Characteristics of key studies for drought events.
Table 2. Characteristics of key studies for drought events.
LocationEventsCauseConsequenceMitigation and Adaptation MeasureReference
EnvironmentHuman
Yunnan Province2009 and 2010A reduction in precipitation and abnormal high temperature.Severe water shortages dried up lakes, exposed desiccated aquatic animals, and affected 39.94 million hectares of crops.Shortage of drinking water 9.65 million residents Almost 135 million people dead, 0.69 million USD indirect economic loss in agriculture, and 97 million livestock dead.Long-term adaptation techniques, for example, awareness-raising, capacity building, watershed management, and conservation of resources, need to be reinforced at the local level.[34,60,66,67]
Heilongjiang province2010Natural characteristic indicator of precipitation, and the human activity characteristic index including effective irrigation area, sown area.Drought affected grain product.They were not reported. The significant extension of the sown region and the reduced irrigation water together in the active irrigation region exacerbated drought growth.[55]
Heilongjiang, Jilin and Liaoning Province2001Because of geographical location and impacted by climate disaster.They were not reported.Approximately 890 million yuan economic loss per year. The effect of drought on maize yield accurately and building a multi-hazard evaluation model to evaluate meteorological risks, and their impact on yield is crucial for future research. [43]
Shaanxi Province 2012High rate and level of loss in agricultural production. Water shortage crop failure.Locust plagues. Using the cross-base predictor selection method, the XG Boost model demonstrated the best predictive capabilities. [27]
Yangtze River 2005 and 2011 Severe climate conditions. Damaged eco-environment.Socio-economic consequences.Scaling down the GRACE information to a finer-scaled resolution dependent on a soil surface model and after that, using downscaled information to explore the spatial variations in the characterization of hydrological drought.[54,68,69],
Mid-eastern China 2006Uneven spatial distribution of precipitation caused by the East Asian monsoon climate.Affected crops, grassland, and deciduous broadleaf forest. The Integrated Surface Drought Index (ISDI) was established as a fresh technique. [63]
Southwest China2005,2006 and 2012Climate change geomorphology and mountainous topography alteration.Caused the maize production to decrease by 4.7%.Lack of freshwater for people.Comprehensive analysis of spatiotemporal variation from a climatic perspective based on multiple drought indices to improve the accuracy of recognized drought events.[35,70]
China2006, 2009 to 2010, and 2017Monsoon climate change.Affected agriculture, water availability, and ecosystems. Grain loss of 16.26 billion kilograms.Impacts on the economy and society. The Palmer Drought Severity Index high-accuracy self-calibration to explore the drought variation in China. [71]
North China plane 2012 and 2009Climate change.Crop yield loss of 157 million acres of farmland being affected. Drought indices were used to develop the North China Plain (NCP) aggregate drought index (ADI) to evaluate the impact of drought on crop yield.[44,62]
Songnen Plain 2000 and 2012Agricultural drought disaster type.Crops.Lack of food for the people. Verify and evaluate the applicability of this recently proposed soil water deficit index (MSWDI) to monitor agricultural drought to advance the management of agricultural water.[72]
Tarim River Basin2009Climate change.The severe loss of oasis agriculture. Modelling the connection between ecological water supply and irrigation water supply through the Community Land Model-Distributed Time-Variant Gain Model (CLM-DTVGM) and a copula feature. [12]
Southwestern China2009 and 2011 Climate change.Declined vegetation productivity, increased tree impermanence. The 2011 summer drought dried up more than 1500 small reservoirs affecting about 2.5 million ha farmland.Drinking water shortages for 9.65 million people, 21 million people lacked drinking water, and economic losses reached almost 30 billion USD.The resistance of vegetation growth to drought must be recognized by integrating field measurements and satellite observations.[73,74]
Shaanxi, Qinghai, and Guangdong2009 and 2011Climate change.Crop yields.They were not reported. Increasing education and social capital improve farmers’ capacity to adapt and the policy of strengthening community assets to adapt to extreme weather events.[7]
Northeast China 2001 and 2014High fluctuation in monthly rainfall.Northeast China was attacked by drought in 2001, and the drought area reached 3.75 million hectares in the Heilongjiang region, and 2.7 million hectares in Jilin Province of which the area attacked severely by drought was 2.04 million hectares.It was causing a significant economic loss. Three indices are the Standardized Monthly Precipitation Anomaly Percentage (NPA), the Vegetation Health Index (VHI), and the Normalized Vegetation Supply Water Index (NVSWI.) Three broad indices use precise and efficient tracking of drought is very important for ensuring grain production.[65]
Pearl River basin2016Precipitation anomalies.They were not reported. They were not reported.The response of extreme hydro-climates to El Niño can give useful data to enhance flood forecasting and drought in China.[52]
Weihe River Basin, Gansu Province2004Climate changes.They were not reported. They were not reported. Temperature impacts on hydrological droughts cannot be overlooked and have indirect effects (rainfall patterns) and direct (evaporation and runoff generation).[64]
Southeast China2014 and 2015Climate change. They were not reported. They were not reported. The asymmetric response to drought between autotrophic soil respiration (Ra) and heterotrophic soil respiration (Rh) should be taken into consideration when predicting ecosystem Creation to future drought occurrences.[75]
Poyang lake-catchment-river system2011Significantly low precipitation.They were not reported. They were not reported. Adaptation strategy to mitigate the worsening condition of the Poyang lake-catchment-river scheme should be created as a matter of urgency.[68]
Table
Table 3. Characteristics of key studies for flood events.
Table 3. Characteristics of key studies for flood events.
LocationEventsCauseConsequence Mitigation and Adaptation MeasureReference
Environment Human
Liaoning Province2012Heavy rain.Not reported.36 deaths.Structural measures, for example, the construction of reservoirs for flood control and the regular maintenance of riverbeds and banks, are regarded as critical. Equally essential are non-structural measures, including emergency planning.[53]
Huaihe River2003 and 2007Unique natural future.Sixteen million hectares of arable land flooded by floods; 3.17 million hectares were cultivated land in the Yangtze River basin.Cause migration and thus resettlement issues and direct economic loss.Building flood structures can cause risk propagation, so we must correctly treat risk propagation; various regions must share flood risk plans and build mechanisms for flood risk compensation and flood insurance.[24,77]
Anhui Province, Jiangsu, and Guangxi2004, 2005, 2012, 2016, and 2017 Heavy rainfall.1120-thousand-hectare crop area was devastated.12.8 million people were 34 people killed; the direct economic loss was assessed to be 8.25 billion US dollars.It is recommended that local public health organizations create intervention programs to avoid and control the danger of diarrhea when a significant flood happens, particularly in the regions close to water bodies and among vulnerable communities.[9,13,25,78,79,80]
Wuhan2016Heavy rainstorm.32,160 ha of crops and vegetables were destroyed.Fourteen people died, and one person went missing. A total of 757 000 people was resettled, and 5 848 houses were warped. Economic losses were assessed to be higher than 22.65 billion RMB (3.3 billion USD). It is suggested that the Sponge City (SPC) idea be implemented to replace traditional green infrastructure.[23,81]
Fujian Province2013Typhoon Fitow, massive rainfall reservoirs, and drainage systems were already at a high level. It affected three million people and cost over 0.33 billion US$.Linking the flood model to real-time predictions of rainfall and tide would enable the computation of flood probability in real-time and thus take effective action to decrease flood effects.[10]
Guangzhou 2010 and 2014Extreme rainfall event. Caused many streets to become inundated. It was leading to severe transport disorder. It is also suggested that urban flooding records in areas with flood danger be collected regularly so that more suitable policies and interventions can be established to mitigate urban flooding.[23]
Xinjiang Province 2010 Human damaged was very severe, with some 3200 fatalities nationwide and a thousand missing. Seventy-nine fatalities and 11.6 billion CN¥ (1.85 billion US$, in 2012 exchange rate) losses. China has embarked on an ambitious and vigorous task of improving flood preparedness through both structural (“hard”) and non-structural ("soft"), measures, including flood retention and urban water management to mitigate flash and urban flood burdens.[23,81]
Table
Table 4. Characteristics of critical studies for landslide events.
Table 4. Characteristics of critical studies for landslide events.
LocationEventsCauseConsequence Mitigation and Adaptation MeasureReference
EnvironmentHuman
Zhouqu County2010 and
2013		Slope deformation Substantial erosion and an active fault zone.They were not reported.They were not reported.Developing empirical models to predict landslides events. The time series of slope deformation has a robust correlation with the area’s precipitation.[51,89]
China 2000, 2005, 2014, and 2015Increase in extreme precipitation in China Earthquakes. Property and Environmental damage and over 1700 dead. The interactions between rainfall and topography, soil lithology, vegetation, and population density are closer to the spatial distribution of deadly landslides than each factor.[56,57,90]
Sichuan Province2008, 2013, and 2017Lushan earthquake, a sharp shock happened.The avalanche also blocked roads and the Songpinggou River.Ten thousand nine hundred and ninety-six total deaths, approximately 690 fatalities per year 120 deaths from 2000–2015.Ground motion is the basic triggering impact for these landslides and is thus the central control the distribution of landslides.[11,49,58,59,87,88,91,92,93,94]
Three Gorges Reservoir Area2014 and 2003Moreover, the reservoir water level reached its maximum level of 175 m, and substantial rainfall-induced landslide deformation occurred. They were not reported.Two hundred and seventeen fatalities; 13,484 persons were injured, and about 193,000 houses were destroyed. It was estimated that the total economic losses exceeded 50 billion Yuan. Extensive damage to housing settlements and irrigation channels. Highways and bridges were also blocked and destroyed; several cities were isolated.The effect of filling reservoir water on landslide stability will shift from favorable to worse, and the effect of the water drawn from the reservoir on the landslide stability will alter from worse to better if the water fluctuation rate of the reservoir is less than or equal to the coefficient of permeability, the effect, and trend of the landslide development will be more evident.[95,96]
Jiangliu Village on the South Jingyang tableland2016 Soft foundation impact liquefaction became the primary reason that the landslide occurred. Affected farmland.Seriously threatens people’s safety and propertyLarge pores within the slope and the vertical joints were preferential infiltration passages for irrigation water, and landslides in the flow stated that the ground layer in the reduced portion of the slope before the landslide was in a completely saturated condition.[83]
Guangchang area Jiangxi province Last ten yearsHeavy rainfall.They were not reported.It has impacted 1392 people, including some killed, made homeless, among others.Consequently, the outcome shows that the J48 Decision Tree (JDT) with Rotation Forest is the best-optimized model and can be regarded as a successful technique for mapping landslide susceptibility for greater precision in comparable instances.[97]
Shenzhen2015Construction solid waste.Had catastrophic consequences.Buried or pushed over 33 buildings in its path, namely, 24 workshops, three dormitory buildings, and six residential buildings, and caused 73 deaths and 17 injures.The reasonable agreement between the damage observed and the simulation presented by the procedural analysis provides evidence indicating the usefulness of both the model of dilatancy used to study the landslide movement and the method of dynamic finite element analysis implemented to the exposed structure.[84]
Wuyuan area2014Numerous
rainfall		Not reported.A total of 2115 people is affected. The economic loss of 4 million USD; destroyed homes and agriculture A decision support instrument could use the results of this research to implement infrastructure security plans and risk reduction initiatives effectively.[97]
Yunnan2014 and 2003Ludian earthquake Seismogenic fault. Shallow slope failures and rock or soil slidesIt blocked the Niulan river creating a reservoir that had a high likelihood of landslide dam failure and subsequent downstream flood.Created an elevated risk to the population, and effective emergency mitigation measures were carried out, the risk of dam break was decreased significantly.The properties of the "best-fit" input strength are equivalent, but not the actual power of the displaced material or the adjacent stable base rock.[8,98]
Qinba Mountains, southern Shaanxi Province western China 2010Geological factors and precipitation.Not reported.29 deaths3D analyses utilizing 3DEC can well represent the block kinematics of instability; the impact of rainfall was modeled on the numerical analysis by decreasing the strengths of the joints to defined values. Therefore, 3D numerical results are still limited.[82]
Yellow River in China. 2009Revealing an acceleration of deformation after the impoundment of the reservoirNot reported.They were not reported.Quantitative validation based on ground-real-time information, track landslides and invert slide depth based on the 3D displacement field.[99]
Nayong, Guizhou, China2017 and 2010Disastrous rock avalanche occurred heavy rainfallThe landslide involved the failure of about 985,000 m3 of sandstone from the source area. The displaced materials traveled about 1300 m with a descent of about 400 m, covering an area of 129,000 m2, with the final volume 1,840,000 m3, approximately.Killed 35 people and destroyed 23 houses. Techniques combined the DAN3D model with seismic signal and captured video could give useful rheological models and parameters for predicting rock avalanche comparable geological characteristics to the recorded events.[14,50]
Yueqing of Zhejiang Province2004TyphoonNot reported.Forty-two deaths, 288 collapse houses, and direct economic loss of 3,830,000 RMB. The findings of coarse resolution information may also be acceptable if information resolution is near to the mean landslide magnitude. This technique can also be adopted when obtaining high-resolution information is hard or very costly.[100]
Loess Plateau2001Environmental condition.Impacts on natural vegetation.They were not reported.Natural regeneration at the bottom and center of the landslide was more efficient, which disclosed that modifications in topography could influence revegetation. The seed bank was regarded to be a significant variable influencing natural regeneration in the soil.[85]
Shenzhen, Guangdong, south-eastern China2015Slope failure Not reported.Seventy-seven people were dead, and 33 buildings that were directly in the path of the landslide were buried or damaged.Use the DAN3D technique to split the route of movement, pick the designs, and enter the parameters.[101]
Wenchuan 2008Earthquake area is situated in seismic belt and mountainous with steep topography and high erosion featuresNot reported.They were not reported.Human engineering operations may boost the probability of landslides; therefore, tourism-related human engineering operations in landslide susceptibility studies should not be overlooked.[48]
Gansu2010Heavy rainfallNot reported.Killed 1287 people. The forecast capacity assessment indicates that the two distinct maps of susceptibility and the ultimate embedded map of vulnerability to landslides could also be used as urgent reaction measures for scheduling spatial development.[47]
Shenzhen2016Deep geological and geomorphological fractures. They were not reported.Killed 77 people.Certain factors, such as flood releases (which are state-regulated), should be considered. However, the variables that can lead to abrupt declines in the reservoir level, which causes landslide deformation to remain unsure.[86]

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Ali, R.; Kuriqi, A.; Kisi, O. Human–Environment Natural Disasters Interconnection in China: A Review. Climate 2020, 8, 48. https://doi.org/10.3390/cli8040048

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Ali R, Kuriqi A, Kisi O. Human–Environment Natural Disasters Interconnection in China: A Review. Climate. 2020; 8(4):48. https://doi.org/10.3390/cli8040048

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Ali, Rawshan, Alban Kuriqi, and Ozgur Kisi. 2020. "Human–Environment Natural Disasters Interconnection in China: A Review" Climate 8, no. 4: 48. https://doi.org/10.3390/cli8040048

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Ali, R., Kuriqi, A., & Kisi, O. (2020). Human–Environment Natural Disasters Interconnection in China: A Review. Climate, 8(4), 48. https://doi.org/10.3390/cli8040048

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