Kwok Pan Chun’s research while affiliated with University of the West of England, Bristol and other places

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Publications (91)


Distribution of meteorological stations and topography of the Kelantan River Basin, Malaysia.
Comparison of SWAT+ simulated streamflow using (a) gauges, (b) ERA5-Land, (c) CHIRPS, (d) NASA POWER, and (e) APHRODITE.
Comparison of SWAT+ simulated streamflow using temperature data from ERA5-Land and precipitation data from (a) ERA5-Land, (b) CHIRPS, (c) NASA POWER, and (d) APHRODITE.
Comparison of SWAT+ simulated streamflow using temperature data from NASA POWER and precipitation data from (a) ERA5-Land, (b) CHIRPS, (c) NASA POWER, and (d) APHRODITE.
Comparison of SWAT+ simulated streamflow using bias-corrected precipitation data from (a) ERA5-Land, (b) CHIRPS, (c) NASA POWER, and (d) APHRODITE.

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Evaluation of four gridded climate products for streamflow and drought simulations in the Kelantan River Basin, Malaysia
  • Article
  • Full-text available

January 2025

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44 Reads

Hongrong Du

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Kwok Pan Chun

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Gridded climate products (GCPs) play a vital role in hydro-climatic modeling by overcoming the limitations of gauge data. This study compares the performance of the recently launched NASA POWER and ERA5-Land, with CHIRPS and APHRODITE, in simulating streamflow and drought from 1985 to 2015 in the Kelantan River Basin, Malaysia. When the SWAT+ model was incorporated with the original GCPs, APHRODITE demonstrated the best performance in monthly streamflow simulations, achieving Nash-Sutcliffe Efficiency (NSE) values from 0.61 to 0.71 and coefficient of determination (R²) values from 0.74 to 0.76, outperformed other GCPs. Bias correction further improved the performance of GCPs in simulating streamflow. Additionally, the SWAT+ model performed slightly better when GCPs were combined with temperature data from NASA POWER compared to ERA5. Most GCPs effectively identified drought events in 1998, 2005, 2010, 2014, and 2015 under SPI-1 and SPI-3, but the intensity of dryness varied slightly among the products.

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A Bibliometric Analysis of Global Research on Climate Change and Agriculture from 1985 to 2023

November 2024

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54 Reads

Agronomy

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Hongda Yao

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Zhaozhe Li

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[...]

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With increasing concentrations of atmospheric greenhouse gases, the interaction between climate change and agriculture is receiving widespread attention as part of food security and sustainable human development. However, a comprehensive summary of knowledge in the field of climate change and agriculture from a scientometric perspective is still lacking. Here, we selected 25,872 papers related to climate change and agriculture from the Web of Science Core Collection database for the period 1985 to 2023 and used VOSviewer software to reveal the research status and trends. The main results were as follows: (1) the number of papers in this field showed a rapidly increasing trend after 2007, with a clear interdisciplinary characteristic; (2) The United States was the most influential country in this field with 6819 papers and 363,109 citations. China had the second highest number of papers (3722 papers), but the Chinese Academy of Sciences was the most influential institution with the most papers. On an author level, Pete Smith was the most influential; (3) All keywords were divided into four different research topics, such as the impact of climate change on agriculture, climate change mitigation and adaptation in agriculture, and crop growth in response to climate change. Among them, some keywords related to climate change adaptation were the most recent topics of interest in this field. These findings provide effective scientific references for relevant scientists and practitioners to better conduct future theoretical and practical research on climate change and agriculture.


Figure 1. Modelling procedure of compound events.
Examples of compound event studies categorized into hydrological and non-hydrological hazards as primary and secondary hazards, respectively, and vice versa
Unravelling compound risks of hydrological extremes in a changing climate: Typology, methods and futures

September 2024

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241 Reads

We have witnessed and experienced increasing compound extreme events resulting from simultaneous or sequential occurrence of multiple events in a changing climate. In addition to a growing demand for a clearer explanation of compound risks from a hydrological perspective, there has been a lack of attention paid to socioeconomic factors driving and impacted by these risks. Through a critical review and co-production approaches, we identified four types of compound hydrological events based on autocorrelated, multivariate, and spatiotemporal patterns. A framework to quantify compound risks based on conditional probability is offered, including an argument on the potential use of generative Artificial Intelligence (AI) algorithms for identifying emerging trends and patterns for climate change. Insights for practices are discussed, highlighting the implications for disaster risk reduction and knowledge co-production. Our argument centres on the importance of meaningfully considering the socioeconomic contexts in which compound risks may have impacts, and the need for interdisciplinary collaboration to effectively translate climate science to climate actions.


Figure 1. Five principles for regulating AI use in disaster risk management. These principles should guide multi-level actors in legal, policy-making, science and innovation sectors. Significance from these principles include: i) building adaptive data mining systems for legal and physical environments; ii) encouraging public engagement and law; and iii) forging interdisciplinary education and training in disaster management.
Figure 2. The potential of social media and big data to enhance disaster risk management, highlighting key considerations for effective implementation
Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives

September 2024

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145 Reads

Managing complex disaster risks requires interdisciplinary efforts. Breaking down silos between law, social sciences, and natural sciences is critical for all processes of disaster risk reduction. This enables adaptive systems for the rapid evolution of AI technology, which has significantly impacted the intersection of law and natural environments. Exploring how AI influences legal frameworks and environmental management, while also examining how legal and environmental considerations can confine AI within the socioeconomic domain, is essential. From a co-production review perspective, drawing on insights from lawyers, social scientists, and environmental scientists, principles for responsible data mining are proposed based on safety, transparency, fairness, accountability, and contestability. This discussion offers a blueprint for interdisciplinary collaboration to create adaptive law systems based on AI integration of knowledge from environmental and social sciences. Discrepancies in the use of language between environmental scientists and decision-makers in terms of usefulness and accuracy hamper how AI can be used based on the principles of legal considerations for a safe, trustworthy, and contestable disaster management framework. When social networks are useful for mitigating disaster risks based on AI, the legal implications related to privacy and liability of the outcomes of disaster management must be considered. Fair and accountable principles emphasise environmental considerations and foster socioeconomic discussions related to public engagement. AI also has an important role to play in education, bringing together the next generations of law, social sciences, and natural sciences to work on interdisciplinary solutions in harmony.





Spatial Heterogeneity in the Response of Winter Wheat Yield to Meteorological Dryness/Wetness Variations in Henan Province, China

April 2024

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41 Reads

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1 Citation

Agronomy

Knowledge of the responses of winter wheat yield to meteorological dryness/wetness variations is crucial for reducing yield losses in Henan province, China’s largest winter wheat production region, under the background of climate change. Data on climate, yield and atmospheric circulation indices were collected from 1987 to 2017, and monthly self-calibrating Palmer drought severity index (sc-PDSI) values were calculated during the winter wheat growing season. The main results were as follows: (1) Henan could be partitioned into four sub-regions, namely, western, central-western, central-northern and eastern regions, based on the evolution characteristics of the time series of winter wheat yield in 17 cities during the period of 1988–2017. Among them, winter wheat yield was high and stable in the central-northern and eastern regions, with a remarkable increasing trend (p < 0.05). (2) The sc-PDSI in February had significantly positive impacts on climate-driven winter wheat yield in the western and central-western regions (p < 0.05), while the sc-PDSI in December and the sc-PDSI in May had significantly negative impacts on climate-driven winter wheat yield in the central-northern and eastern regions, respectively (p < 0.05). (3) There were time-lag relationships between the sc-PDSI for a specific month and the atmospheric circulation indices in the four sub-regions. Furthermore, we constructed multifactorial models based on selected atmospheric circulation indices, and they had the ability to simulate the sc-PDSI for a specific month in the four sub-regions. These findings will provide scientific references for meteorological dryness/wetness monitoring and risk assessments of winter wheat production.



Citations (55)


... Centralized stormwater management, proposed by a large body of literature [69][70][71][72][73][74][75][76][77][78], through the implementation of systems that control runoff, minimize erosion, pollution and promote water reuse. Adapting existing infrastructures to improve resilience to climate change, plus [79][80][81][82][83] implementing models and assessments, such as the Storm Water Management (SWMM) and Real Time Control (RTC) allow the design and improvement of drainage infrastructure, adapting it to future needs and local characteristics even through these models have not reached the expected range, [84,85] denote systems wich include vegetation, not only improve the urban aesthetic but also increase resilience to flooding by naturally absorbing water (NBS); these proposal of various strategies such as integration of BGI, GIS tools and SuDS seek to maximize environmental, social and economic benefits while minimizing environmental impact [18,78,[86][87][88][89][90][91][92][93][94][95][96][97][98][99][100]; additionally the need for policy and strategic frameworks to emphasize effective water resource management, including green water valuation and technologies adapting to new concepts for water monitoring and conservation in vulnerable areas [68,[101][102][103][104][105][106][107][108][109][110][111][112][113][114][115][116][117]; a concept that highlights among papers [118][119][120][121][122][123][124][125][126][127][128][129][130][131][132][133][134][135][136][137], is urban resilience wich is achieved through the integration of green, blue and grey infrastructures, this implies a proactive and innovative approach; added to this [138,139] support the sustainability criterion in urban ecosystem management not only control floods but also provide vital ecosystem services such as habitat provision and water quality regulation. In parallel to these ideas SuDS take a main pillar because their effectiveness lies in their multifunctional approach wich includes systems such as green roofs, vegetated ditches, permeable pavements, among others, strengthen and encourage a reduction 12 in the load of traditional drainage infrastructure and the improvement of water efficiency [140][141][142][143][144][145][146][147][148][149][150][151][152][153][154][155]. ...

Reference:

Review of Green Water Systems for Urban Flood Resilience: Literature and Codes
A meta-model for understanding ‘green-red loop’ social-water interactions at a global scale
  • Citing Article
  • July 2024

Journal of Cleaner Production

... This paper presents the average effect of urban areas on local and regional temperature and rainfall using a single GCM employing a specific urban parameterization. Hence, a GCM intercomparison study would be desirable, like the WCRP Flagship Pilot Study URB-RCC (Langendijk et al., 2024), where coordinated experiments will be carried out with convection-permitting regional climate models coupled with urban parameterizations of different complexity. Similarly, higher-resolution global model runs should be completed to increase the number of urban grid cells for more robust statistics, especially for the Tropics and SET. ...

Towards Better Understanding the Urban Environment and its Interactions with Regional Climate Change -The Wcrp Cordex Flagship Pilot Study Urb-Rcc
  • Citing Preprint
  • January 2024

... In a closely related study, delved into the consequences of human intervention and rising sea levels on waterlogging within specific areas, particularly Polders-24 and 25. Their analysis provides insights into how anthropogenic factors and natural climatic changes exacerbate waterlogging, highlighting the need for integrated management strategies (Arheimer et al. 2024). To address potential solutions, Dasgupta et al. (2019) proposed the concept of temporary de-poldering. ...

The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN one Global world (HELPING)

... There are many reasons for the coexistence of the two species in arid areas, such as differences in root distribution and different utilization of soil water. Moreover, HNS is based on special traits (such as root structure) formed in the long-term interaction between plants and environmental factors, enabling plants to use various water resources under different soil water gradients (Araya et al., 2011;Silvertown et al., 2015;Zhao et al., 2024). These findings show that the key factors affecting water use patterns are water status and root structure of plants, and the root distribution in space and the soil water gradient also have a significant impact on the process of HNS, species coexistence, and ecosystem stability (Brum et al., 2019). ...

Dynamic hydrological niche segregation: How plants compete for water in a semi-arid ecosystem
  • Citing Article
  • January 2024

Journal of Hydrology

... These isotopes have been widely applied to the qualitative and quantitative analysis of hydrological processes [19][20][21]. Furthermore, radioactive isotopes like 3 H are used to determine the age and recharge rates of soil water [22,23]. The combined use of stable and radioactive isotopes offers a powerful approach for both qualitative and quantitative analyses of soil water recharge mechanisms. ...

The nature and extent of bomb tritium remaining in deep vadose zone: A synthesis and prognosis

... Previously, several studies have used satellite data records to estimate long-term climate trends. However, they have reported that some datasets have significant over-or underestimation capacity to predict actual precipitation and temperature counts and suggested to use of monthly means to eradicate such issues (Du et al., 2024;Dollan et al., 2024). Moreover, another recent study by Kim et al. (2024) has reported a significant overestimation of regional temperature counts (nearly 4°C) due to the presence of intense snow cover. ...

Evaluating the effectiveness of CHIRPS data for hydroclimatic studies

Theoretical and Applied Climatology

... ucar. edu/ proje cts/ southameri ca-affin ity-group-saag; Dominguez et al. 2024;Liu et al. 2022), led by the NSF National Center for Atmospheric Research (NCAR). The SAAG group is conducting 20-year-long km-scale regional modeling to advance our understanding of the hydrologic cycle over South America (Dominguez et al. 2024). ...

Advancing South American Water and Climate Science Through Multi-Decadal Convection-Permitting Modeling

Bulletin of the American Meteorological Society

... Accessibility is a factor in shaping patterns of land use change, socio-economic interactions, and spatial relationships. However, the complexity of these interactions requires careful consideration of various factors, including the specific characteristics of different land-use types, the scale of analysis, and local geographical variations [15][16][17][18][19]. Port integration generally positively impacts the economy, and varies across regions and city sizes. ...

Identifying the Impacts of Land‐Use Spatial Patterns on Street‐Network Accessibility Using Geospatial Methods
  • Citing Article
  • August 2023

Geographical Analysis

... Moreover, the North Sea Caspian Pattern (NCP) and the Indian Ocean Dipole (IOD) may also have an impact on precipitation in ACA. Specifically, when the NCP is in its positive (negative) phase, it may lead to increased northward (southward) circulation near the Caspian Sea [98,99], potentially affecting precipitation in ACA. Similarly, during the positive phase of the IOD, the stronger summer monsoon over the Indian Ocean could result in the transportation of more moisture from the Indian Ocean towards ACA, consequently leading to increased precipitation in that region [100,101]. ...

The merit of the North Sea‐Caspian pattern in explaining climate variability in the Euro‐Mediterranean region

... For example, re-installations early in the growing season due to probe misalignment hindered our ability to quantify transpiration in April 2021, which suggests our hillslope-scale transpiration values are underestimated. In addition, the relationship between DBH and sap flow may vary across stand structure (e.g., density, species, age) and the relationship between sapwood area and DBH may vary across the oak genus (Forrester et al., 2022;Schoppach et al., 2021Schoppach et al., , 2023. This highlights the importance of well-thought-out fieldbased studies to identify how stand structure influences sap flow to better constrain oak transpiration from the individual tree to hillslope-scale. ...

Allometric relations between DBH and sapwood area for predicting stand transpiration: lessons learned from the Quercus genus

European Journal of Forest Research