Article
Engineering, Civil
Joanna Korpak, Artur Radecki-Pawlik, Anna Lenar-Matyas
Summary: This study aimed to determine the morphometric parameters of the channel and the hydraulic parameters of the flow in order to predict the variability in the morphodynamics of a regulated river. The study found that the dynamics of the river varied depending on the morphometric parameters of the channel and the distance between GCSs. Interestingly, the varying morphodynamics showed similarities to those before regulation.
JOURNAL OF HYDROLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Kai Wang, Wenxuan Zhou, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
Summary: In actual industrial processes, frequent mode switching due to changing working conditions poses challenges for building effective anomaly monitoring models in the start-up stage of a new mode. In this study, a spatial-temporal feature transfer method is proposed to address the cold start monitoring of new modes. The method utilizes a transfer linear dynamic system (TLDS) that enables the establishment of a satisfactory monitoring model without requiring a large number of samples from the target mode. Unlike traditional transfer learning methods, the proposed method transfers temporal and spatial correlations, making it well-suited for the dynamic process industry.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Ecology
Jie Cao, Weiqi Zhou, Zhong Zheng, Tian Ren, Weimin Wang
Summary: The study revealed significant spatial variations of air temperature within cities, with more prominent differences during extreme heat days. The research also found large nocturnal and seasonal variability in air temperature, which can have practical implications for mitigating excessive urban heat and adapting to a warming global climate.
LANDSCAPE AND URBAN PLANNING
(2021)
Article
Engineering, Civil
Jiarui Yu, Lei Zou, Jun Xia, Yongyong Zhang, Lingfeng Zuo, Xiaoyang Li
Summary: In this study, a method combining the Peak Over Threshold (POT) approach and an event-start-and-end detecting approach was proposed to separate flood events in the Yangtze River Basin from 2008-2018. Ten flood behavior metrics were used to fully describe and classify the flood events. The spatial heterogeneity of flood events and the contributions of natural and anthropogenic factors were analyzed. The results showed that meteorological factors were the most important in explaining flood event variations.
JOURNAL OF HYDROLOGY
(2023)
Article
Ecology
Mark D. Munn, Christopher P. Konrad, Matthew P. Miller, Kristin Jaeger
Summary: Stream metabolism is influenced by multiple factors, with biomass being a dominant control on metabolism. Comparative analyses of streams should consider both spatial and temporal variations in stream metabolism to accurately assess differences in trophic status, biomass, and nutrient cycling. This study evaluated the effects of environmental factors on stream metabolism during a summer low-flow period at 17 stream sites in the United States and found that biomass, orthophosphate, and canopy cover were important factors influencing gross primary production.
FRESHWATER BIOLOGY
(2023)
Article
Biodiversity Conservation
Patrizia Zamberletti, Julien Papaix, Edith Gabriel, Thomas Opitz
Summary: The landscape heterogeneity has a significant impact on population dynamics, species persistence, diversity, and interactions. Advanced spatially-explicit models (SEMs) accurately represent these relationships but are computationally complex and difficult to analyze. This study proposes an original approach using meta-models and meta-analysis to analyze SEM outputs, characterizing spatio-temporal population dynamics and landscape heterogeneity relationships in agricultural contexts. The results provide insights into pest-predator systems and help formulate biological control strategies at global and local scales.
Article
Engineering, Environmental
Xiang Cheng, Yue Dong, Fuqiang Fan, Shangbin Xiao, Jia Liu, Shengrui Wang, Wei Lin, Chunyang Zhou
Summary: This study accurately mapped the distribution of N2O in the Pearl River Estuary and revealed the underlying microbial mechanisms. The horizontal and vertical distributions of N2O concentrations varied greatly at fine scales, with several emission hotspots observed. Denitrifying microorganisms, especially the nirK-type and nirS-type denitrifying bacteria, played a dominant role in N2O production, while substrate concentration and physical influences also affected N2O production and distribution.
Article
Remote Sensing
Shuo Xu, Dongdong Wang, Shunlin Liang, Yuling Liu, Aolin Jia
Summary: This study evaluated nine gridded near-surface temperature products and analyzed their spatial heterogeneity and clear-sky bias using extensive measurements collected at Heihe River Basin. The MXD21 product had the lowest root mean square error (RMSE) but a high percentage of missing values. All-weather skin temperature products showed comparable accuracy for cloudy-sky and clear-sky cases. AMSR2 had the lowest RMSE for air temperature, but a high percentage of invalid data, while ERA5 had a worse accuracy but high spatial resolution and gap-free data coverage. Soil and air temperatures had higher accuracies than skin temperature, and different variables showed variations in spatiotemporal heterogeneity and clear-sky biases.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Green & Sustainable Science & Technology
Zhongwu Zhang, Jinyuan Zhang, Liping Liu, Jian Gong, Jinqiang Li, Lei Kang
Summary: Using 736 counties in the Yellow River Basin of China as the study area, this research measured the comprehensive urbanization development level and ecosystem service capacity from 2000 to 2020. By combining spatial autocorrelation, the spatial pattern evolution characteristics of the two systems in the Yellow River Basin were revealed. The spatio-temporal geographically weighted regression (GTWR) model was employed to analyze the spatio-temporal heterogeneity of the impact of various elements on urbanization and ecosystem service capacity. The results showed that the urbanization level and ecosystem service capacity in the Yellow River Basin were on the rise but still low, with significant spatial and temporal heterogeneity. The two systems exhibited positive correlation in space, with significant agglomeration characteristics. The study also found enhanced impact of ecosystem services on comprehensive urbanization over time, with significant spatial 'center-periphery' diffusion characteristics. The influence of urbanization on comprehensive ecosystem service capacity was enhanced as well, showing the law of east-west differentiation in space. There were obvious transition zones in the spatial heterogeneity interval of the interaction between the two systems.
Article
Environmental Sciences
Han Sun, Xiaohui Yang, Zhihui Leng
Summary: This study establishes a spatial econometric model to investigate the impact of haze pollution on public health in 26 cities of the Yangtze River Delta urban agglomerations. The results show that PM2.5 pollution has a positive correlation with public health, and haze pollution is the main influencing factor with significant negative effects. Urbanization rate, number of health technicians, and green area per capita have positive impacts on public health.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Mary Rose Mangan, Oscar Hartogensis, Chiel van Heerwaarden, Jordi Vila-Guerau de Arellano
Summary: In this study, the drivers of evapotranspiration in semi-arid regions with irrigation-induced thermal surface heterogeneities were investigated. It was found that the feedback mechanisms between surface fluxes and boundary-layer dynamics enhance the daily latent heat flux at regional and landscape scales, while surface-driven processes dominate evapotranspiration at the local scale.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2023)
Article
Water Resources
Christopher G. Wilson, Athanasios N. Papanicolaou, Benjamin K. B. Abban, Violeta B. Freudenberg, Seyed M. Ghaneeizad, Christos P. Giannopoulos, Hilafu T. Hilafu
Summary: This study investigates the spatial and temporal heterogeneity of Water Use Efficiency (WUE) and system WUE (sWUE) in the Obion River watershed, Tennessee. The findings highlight the importance of using sWUE as an indicator of water holding capacity and yield differences in agricultural landscapes. The presence of fragipan layers and soil types are shown to affect runoff and water storage capacity.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Computer Science, Artificial Intelligence
Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang
Summary: This article introduces the problems of concept drift and temporal dependency, proposes a novel drift adaptation regression (DAR) framework to address both issues, and demonstrates its performance through experimentation.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Information Systems
Tianyu Liu, Yujun Ma, Wenhan Yang, Wanting Ji, Ruili Wang, Ping Jiang
Summary: A Spatial-Temporal Interaction Learning Two-stream network (STILT) was proposed for action recognition, which utilizes an alternating co attention mechanism between spatial and temporal features to improve recognition accuracy. Experiments showed that the network outperformed state-of-the-art models in action recognition on three widely used datasets.
INFORMATION SCIENCES
(2022)
Article
Limnology
Alice M. Carter, Joanna R. Blaszczak, James B. Heffernan, Emily S. Bernhardt
Summary: Studies have found frequent occurrences of hypoxia in rivers and streams in the North Carolina Piedmont region, especially during warm and low flow periods. It is crucial to use new approaches to assess and compare oxygen levels in rivers.
LIMNOLOGY AND OCEANOGRAPHY
(2021)
Article
Water Resources
Hannah Kosow, Sabrina Kirschke, Dietrich Borchardt, Johannes Cullmann, Joseph H. A. Guillaume, David M. Hannah, Simon Schaub, Jale Tosun
HYDROLOGICAL PROCESSES
(2022)
Editorial Material
Water Resources
David M. Hannah, Benjamin W. Abbott, Kieran Khamis, Christa Kelleher, Iseult Lynch, Stefan Krause, Adam S. Ward
HYDROLOGICAL PROCESSES
(2022)
Article
Meteorology & Atmospheric Sciences
Daniel G. Kingston, David A. Lavers, David M. Hannah
Summary: The study investigated the hydroclimatological connections for five major catchments in the Southern Alps of New Zealand, finding that intense atmospheric rivers are associated with flood events in these areas and exhibit some generalizable spatial patterns.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Review
Ecology
Niamh Eastwood, William A. Stubbings, Mohamed A. Abou-Elwafa Abdallah, Isabelle Durance, Jouni Paavola, Martin Dallimer, Jelena H. Pantel, Samuel Johnson, Jiarui Zhou, J. Scott Hosking, James B. Brown, Sami Ullah, Stephan Krause, David M. Hannah, Sarah E. Crawford, Martin Widmann, Luisa Orsini
Summary: This study proposes a framework that utilizes artificial intelligence to analyze the relationship between environmental change, biodiversity dynamics, and ecosystem functions. It also predicts the future of ecosystem services under different pollution and climate scenarios. The framework is applied to watersheds and offers a system-level approach for restoring natural capital by associating long-term biodiversity changes with chemical pollution.
TRENDS IN ECOLOGY & EVOLUTION
(2022)
Editorial Material
Environmental Sciences
Stephen J. Dugdale, Julian Klaus, David M. Hannah
Summary: Headwater networks play a crucial role in river systems, but the understanding of the processes driving streamflow in headwaters is limited. The emergence of drones and thermal infrared remote sensing offers the potential to collect high-resolution data and improve this understanding. Drone-based thermal infrared technology can bridge the gap between field observations and model simulations, providing valuable insights into surface connectivity and headwater dynamics.
WATER RESOURCES RESEARCH
(2022)
Review
Environmental Sciences
Hannah Gunter, Chris Bradley, David M. Hannah, Semira Manaseki-Holland, Rob Stevens, Kieran Khamis
Summary: Improved monitoring of potable water is crucial for achieving sustainable development goals. Recent advances in field deployable sensing technology, particularly fluorescence spectroscopy, offer opportunities for real-time monitoring of E. coli contamination, providing an invaluable platform for monitoring drinking water quality, especially in situations where infrastructure is degraded or during disaster-relief operations.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2023)
Correction
Ecology
Lee E. Brown, Kieran Khamis, Martin Wilkes, Phillip Blaen, John E. E. Brittain, Jonathan L. L. Carrivick, Sarah Fell, Nikolai Friberg, Leopold Fureder, Gisli M. M. Gislason, Sarah Hainie, David M. M. Hannah, William H. M. James, Valeria Lencioni, Jon S. Olafsson, Christopher T. Robinson, Svein J. Saltveit, Craig Thompson, Alexander M. Milner
NATURE ECOLOGY & EVOLUTION
(2023)
Review
Green & Sustainable Science & Technology
Fabian Drenkhan, Wouter Buytaert, Jonathan D. Mackay, Nicholas E. Barrand, David M. Hannah, Christian Huggel
Summary: Changes in the mountain cryosphere have significant impacts on downstream water security and water-dependent ecosystems. To better assess mountain water security, it is necessary to understand the complex interaction between glacial meltwater and human-natural systems. This requires a shift towards a more integrated social-ecological perspective and the integration of locally relevant knowledge into a collaborative science-policy-community framework. This approach, combined with hydrological risk assessment, can support the development of tailored and transformational adaptation strategies.
NATURE SUSTAINABILITY
(2023)
Article
Environmental Sciences
Xiwen Zhang, Feng Mao, Zhaoya Gong, David M. Hannah, Yunnan Cai, Jiansheng Wu
Summary: This study proposes a framework for assessing urban resilience to disasters based on the relationship between disaster intensity and damage rate. It uses intense rainfall-induced urban flooding in Shenzhen as an example to explore the framework's main features. The study also demonstrates the usability of the framework by assessing and comparing two resilience-building strategies: permeable pavement transformation and land vulnerability reduction.
Article
Construction & Building Technology
Kieran Khamis, Valerie Ouellet, Danny Croghan, Liliana M. Hernandez M. Gonzalez, Aaron I. Packman, David M. Hannah, Stefan Krause
Summary: Urbanization and the increase in urban land cover have negative impacts on surface water quality. Current measurement methods for emerging contaminants are limited, and autosamplers are expensive and bulky. We present a small and low-cost autosampler that is suitable for urban environments. It shows comparable results to commercial autosamplers and can capture temporal dynamics in water quality parameters. The autosampler has the potential to improve understanding of urban design and infrastructure impacts on water quality and lead to more effective mitigation solutions.
FRONTIERS IN BUILT ENVIRONMENT
(2023)
Article
Water Resources
J. C. White, K. Khamis, S. Dugdale, F. L. Jackson, I. A. Malcolm, S. Krause, D. M. Hannah
Summary: High river water temperature extremes during drought conditions have significant implications for freshwater ecosystem health and river management practices. The mechanisms and factors controlling water temperature dynamics during droughts are still poorly understood. This study reviews these mechanisms using the United Kingdom as a case study and highlights critical future research questions that need to be addressed.
HYDROLOGICAL PROCESSES
(2023)
Article
Water Resources
Anthony C. Ross, Marc Martinez Mendoza, Fabian Drenkhan, Nilton Montoya, Jan R. Baiker, Jonathan D. Mackay, David M. Hannah, Wouter Buytaert
Summary: Tropical high-Andean wetlands, known as 'bofedales', play a crucial role in sustaining biodiversity, carbon sequestration, water provision, and livestock farming. This study analyzed the seasonal water storage and release characteristics of bofedales in the Vilcanota-Urubamba basin using remote sensing and ground-based monitoring. The results showed high seasonal variability in bofedal area, with significant contributions to dry season baseflow and water flow regulation. These findings emphasize the importance of including bofedales in water management strategies to ensure long-term water security in rapidly changing Andean catchments.
HYDROLOGICAL PROCESSES
(2023)
Article
Water Resources
Andrea Rabbai, Doris E. Wendt, Giulio Curioni, Susan E. Quick, A. Robert MacKenzie, David M. Hannah, Nicholas Kettridge, Sami Ullah, Kris M. Hart, Stefan Krause
Summary: Afforestation, as a major driver of land cover change, can provide various ecosystem services. This study investigates the long-term trends of soil moisture and temperature dynamics in different-aged forest systems, which can inform future assessments of hydrological and ecosystem responses to disturbances and forest management.
HYDROLOGICAL PROCESSES
(2023)
Article
Engineering, Civil
Jeffrey Wade, Christa Kelleher, David M. Hannah
Summary: Water temperature is crucial for the health of rivers and streams, impacting ecosystems, aquatic biogeochemistry, and the suitability for various species. While climate is considered the main driver of stream temperature, other factors contribute to the variability of water temperatures. Quantifying these underlying controls is challenging due to their complexity and the diverse settings of rivers.
JOURNAL OF HYDROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Tahmina Yasmin, Kieran Khamis, Anthony Ross, Subir Sen, Anita Sharma, Debashish Sen, Sumit Sen, Wouter Buytaert, David M. Hannah
Summary: Floods in mountainous river catchments are causing increasing harm and require inclusive approaches to designing flood early warning systems. Rather than focusing solely on technology, the use of a SMART approach encourages engagement with local social and governance contexts to benefit the at-risk community. This approach integrates diverse backgrounds and identifies missing links to ensure inclusivity and good practice throughout the decision-making process.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)