Weekly Literature Review
Week 12 · March 18–March 24, 2024
50 relevant papers found across 5 themes
Executive Summary
This week’s review covers 50 papers across 5 themes. The most cited paper examines Global prediction of extreme floods in ungauged watersheds, with 280 citations. Key research areas include climate change and terrestrial water storage, flood risk assessment and extreme precipitation, machine learning and ai for hydrological prediction.
Table of Contents
- Executive Summary
- Climate Change and Terrestrial Water Storage
- Regulatory networks in plant responses to drought and cold stress
- Dataset of stable isotopes of precipitation in the Eurasian continent
- Impacts of climate factors and human activities on NDVI change in China
- All tidal wetlands are blue carbon ecosystems
- Green finance, climate change, and green innovation: Evidence from China
- Serratia spp. as plant growth-promoting bacteria alleviating salinity, drought, and nutrient imbalance stresses
- Enhanced CO2 uptake of the coastal ocean is dominated by biological carbon fixation
- Climate change will reduce North American inland wetland areas and disrupt their seasonal regimes
- Plastics in the environment in the context of UV radiation, climate change and the Montreal Protocol: UNEP Environmental Effects Assessment Panel, Update 2023
- Physical science research needed to evaluate the viability and risks of marine cloud brightening
- The prevalent life cycle of agricultural flash droughts
- Unleashing the power of machine learning and remote sensing for robust seasonal drought monitoring: A stacking ensemble approach
- Mangrove mapping and monitoring using remote sensing techniques towards climate change resilience
- Contribution of buildings climate change mitigation options to sustainable development
- Infectious Diseases in a Changing Climate
- The
miR6445‐ NAC029 module regulates drought tolerance by regulating the expression of glutathione S‐transferase U23 and reactive oxygen species scavenging in Populus - Climate change and broiler production
- A double-stranded RNA binding protein enhances drought resistance via protein phase separation in rice
- A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales
- Elevation-dependent pattern of net CO2 uptake across China
- Demand-side climate change mitigation: where do we stand and where do we go?
- EXPLORING THEORETICAL CONSTRUCTS OF URBAN RESILIENCE THROUGH SMART WATER GRIDS: CASE STUDIES IN AFRICAN AND U.S. CITIES
- Biodiversity promotes resistance but dominant species shape recovery of grasslands under extreme drought
- Quantifying the long-term changes of terrestrial water storage and their driving factors
- Harnessing root-soil-microbiota interactions for drought-resilient cereals
- Climate change and tourism geographies
- Flood Risk Assessment and Extreme Precipitation
- Machine Learning and AI for Hydrological Prediction
- A Novel Variant of LSTM Stock Prediction Method Incorporating Attention Mechanism
- Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction
- Large-scale flood modeling and forecasting with FloodCast
- Coupling the remote sensing data-enhanced SWAT model with the bidirectional long short-term memory model to improve daily streamflow simulations
- The Potential of Neural Network Potentials
- Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship
- THEORETICAL FRAMEWORKS FOR THE ROLE OF AI AND MACHINE LEARNING IN WATER CYBERSECURITY: INSIGHTS FROM AFRICAN AND U.S. APPLICATIONS
- LEFormer: A Hybrid CNN-Transformer Architecture for Accurate Lake Extraction from Remote Sensing Imagery
- Time series prediction of reservoir bank landslide failure probability considering the spatial variability of soil properties
- Water Management, Irrigation, and Groundwater
- Nitrate contamination in groundwater and its evaluation of non-carcinogenic health hazards from Arjunanadi River basin, south India
- Fate and behaviour of Microplastics (> 25µm) within the water distribution network, from water treatment works to service reservoirs and customer taps
- Environmental, industrial, and health benefits of Moringa oleifera
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Source-specific probabilistic health risk assessment of heavy metals in surface water of the Yangtze River Basin.
- Exploring future ecosystem service changes and key contributing factors from a “past-future-action” perspective: A case study of the Yellow River Basin
- Towards a Circular Economy in the Mining Industry: Possible Solutions for Water Recovery through Advanced Mineral Tailings Dewatering
- Advancing river monitoring using image-based techniques: challenges and opportunities
- Improving the simulations of the hydrological model in the karst catchment by integrating the conceptual model with machine learning models
- Using satellite imagery to estimate CO2 partial pressure and exchange with the atmosphere in the Songhua River
- Drought Spatial Extent and Dependence Increase During Drought Propagation From the Atmosphere to the Hydrosphere
- Integrated GIS and analytic hierarchy process for flood risk assessment in the Dades Wadi watershed (Central High Atlas, Morocco)
- Ground deformation monitoring via PS-InSAR time series: An industrial zone in Sacco River Valley, central Italy
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 26 papers examining the intersection of climate change and terrestrial water dynamics. Studies investigate water storage changes, drought mechanisms and projections, vegetation-water interactions, and Earth system model uncertainties. Key contributions address large-scale water storage trends, land-atmosphere coupling effects on drought onset, and methods for characterizing future drought under climate change scenarios.
Regulatory networks in plant responses to drought and cold stress
Authors: June-Silk Kim, Satoshi Kidokoro, K. Yamaguchi-Shinozaki, Kazuo Shinozaki
Journal: Plant Physiology · DOI: 10.1093/plphys/kiae105 · Citations: 224
Matched topics: drought
Abstract Drought and cold represent distinct types of abiotic stress, each initiating unique primary signaling pathways in response to dehydration and temperature changes, respectively. However, a convergence at the gene regulatory level is observed where a common set of stress-responsive genes is activated to mitigate the impacts of both stresses. In this review, we explore these intricate regulatory networks, illustrating how plants coordinate distinct stress signals into a collective trans…
Dataset of stable isotopes of precipitation in the Eurasian continent
Authors: Longhu Chen, Qinqin Wang, Guofeng Zhu, Xinrui Lin, Dongdong Qiu, Yinying Jiao et al.
Journal: Earth system science data · DOI: 10.5194/essd-16-1543-2024 · Citations: 104
Matched topics: hydrology, surface water, earth system model
Abstract. Stable isotopes in precipitation can effectively reveal the process of atmospheric water circulation, serving as an effective tool for hydrological and water resource research, climate change, and ecosystem studies. The scarcity of stable isotope data in precipitation has hindered comprehension of the regional hydrology, climate, and ecology due to discontinuities on a temporal scale and unevenness on a spatial scale. To this end, we collated stable hydrogen and oxygen isotope data …
Impacts of climate factors and human activities on NDVI change in China
Authors: Lina Tuoku, Zhijian Wu, Baohui Men
Journal: Ecological Informatics · DOI: 10.1016/j.ecoinf.2024.102555 · Citations: 77
Matched topics: climate change
Vegetation plays a crucial role in terrestrial ecosystems, and there has been a substantial shift in global vegetation cover in recent decades. China is recognized for its substantial impact on global vegetation cover changes, which are influenced by both climate change and human activities. Therefore, this research aims to assess the respective influences of climate modification and human activities on vegetation variations in China. First, the changes in vegetation cover are explored betwee…
All tidal wetlands are blue carbon ecosystems
Authors: María Fernanda Adame, Jeffrey J. Kelleway, Ken W. Krauss, Catherine E. Lovelock, Janine B. Adams, Stacey M. Trevathan‐Tackett et al.
Journal: BioScience · DOI: 10.1093/biosci/biae007 · Citations: 67
Matched topics: hydrology
Managing coastal wetlands is one of the most promising activities to reduce atmospheric greenhouse gases, and it also contributes to meeting the United Nations Sustainable Development Goals. One of the options is through blue carbon projects, in which mangroves, saltmarshes, and seagrass are managed to increase carbon sequestration and reduce greenhouse gas emissions. However, other tidal wetlands align with the characteristics of blue carbon. These wetlands are called tidal freshwater wetlan…
Green finance, climate change, and green innovation: Evidence from China
Authors: Fuyong Chen, Xiao Min Zeng, Xiang Guo
Journal: Finance research letters · DOI: 10.1016/j.frl.2024.105283 · Citations: 67
Matched topics: climate change
Abstract not available.
Serratia spp. as plant growth-promoting bacteria alleviating salinity, drought, and nutrient imbalance stresses
Authors: I. Kulkova, Barbara Wróbel, J. Dobrzyński
Journal: Frontiers in Microbiology · DOI: 10.3389/fmicb.2024.1342331 · Citations: 59
Matched topics: drought
In agricultural environments, plants are often exposed to abiotic stresses including temperature extremes, salt stress, drought, and heavy metal soil contamination, which leads to significant economic losses worldwide. Especially salt stress and drought pose serious challenges since they induce ionic toxicity, osmotic stress, and oxidative stress in plants. A potential solution can be the application of bacteria of the Serratia spp. known to promote plant growth under normal conditions Thus t…
Enhanced CO2 uptake of the coastal ocean is dominated by biological carbon fixation
Authors: Moritz Mathis, Fabrice Lacroix, Stefan Hagemann, David Nielsen, Tatiana Ilyina, Corinna Schrum
Journal: Nature Climate Change · DOI: 10.1038/s41558-024-01956-w · Citations: 61
Matched topics: earth system model
Abstract Observational reconstructions indicate a contemporary increase in coastal ocean CO 2 uptake. However, the mechanisms and their relative importance in driving this globally intensifying absorption remain unclear. Here we integrate coastal carbon dynamics in a global model via regional grid refinement and enhanced process representation. We find that the increasing coastal CO 2 sink is primarily driven by biological responses to climate-induced changes in circulation (36%) and increasi…
Climate change will reduce North American inland wetland areas and disrupt their seasonal regimes
Authors: Donghui Xu, Gautam Bisht, Zeli Tan, Eva Sinha, Alan Di Vittorio, Tian Zhou et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-45286-z · Citations: 40
Matched topics: hydrology, streamflow, seasonal, climate change, earth system model
Abstract Climate change can alter wetland extent and function, but such impacts are perplexing. Here, changes in wetland characteristics over North America from 25° to 53° North are projected under two climate scenarios using a state-of-the-science Earth system model. At the continental scale, annual wetland area decreases by ~10% (6%-14%) under the high emission scenario, but spatiotemporal changes vary, reaching up to ±50%. As the dominant driver of these changes shifts from precipitation t…
Plastics in the environment in the context of UV radiation, climate change and the Montreal Protocol: UNEP Environmental Effects Assessment Panel, Update 2023
Authors: Marcel A. K. Jansen, Anthony L. Andrady, Janet F. Bornman, P. J. Aucamp, Alkiviadis Bais, Anastazia T. Banaszak et al.
Journal: Photochemical & Photobiological Sciences · DOI: 10.1007/s43630-024-00552-3 · Citations: 56
Matched topics: climate change
This Assessment Update by the Environmental Effects Assessment Panel (EEAP) of the United Nations Environment Programme (UNEP) considers the interactive effects of solar UV radiation, global warming, and other weathering factors on plastics. The Assessment illustrates the significance of solar UV radiation in decreasing the durability of plastic materials, degradation of plastic debris, formation of micro- and nanoplastic particles and accompanying leaching of potential toxic compounds. Micro…
Physical science research needed to evaluate the viability and risks of marine cloud brightening
Authors: Graham Feingold, Virendra P. Ghate, Lynn M. Russell, Peter N. Blossey, Will Cantrell, Matthew W. Christensen et al.
Journal: Science Advances · DOI: 10.1126/sciadv.adi8594 · Citations: 56
Matched topics: earth system model
Marine cloud brightening (MCB) is the deliberate injection of aerosol particles into shallow marine clouds to increase their reflection of solar radiation and reduce the amount of energy absorbed by the climate system. From the physical science perspective, the consensus of a broad international group of scientists is that the viability of MCB will ultimately depend on whether observations and models can robustly assess the scale-up of local-to-global brightening in today’s climate and identi…
The prevalent life cycle of agricultural flash droughts
Authors: Miguel A. Lovino, M. Josefina Pierrestegui, Omar V. Müller, Gabriela V. Müller, Ernesto Hugo Berbery
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-024-00618-0 · Citations: 46
Matched topics: hydrology, drought, earth system model
Abstract This work examines the characteristics and prevalent life cycle of agricultural flash droughts globally. Using ERA5 data, the study introduces a flash drought indicator based on soil water availability. This approach integrates root-zone soil moisture and hydraulic soil properties, such as field capacity and wilting point, to couple the rapid soil moisture depletion and plant water stress. Our findings reveal that agricultural flash droughts present their higher frequency predominant…
Unleashing the power of machine learning and remote sensing for robust seasonal drought monitoring: A stacking ensemble approach
Authors: Xinlei Xu, Fangzheng Chen, Bin Wang, Matthew Tom Harrison, Yong Chen, Ke Liu et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131102 · Citations: 46
Matched topics: water management, drought, seasonal
Abstract not available.
Mangrove mapping and monitoring using remote sensing techniques towards climate change resilience
Authors: Reshma Sunkur, Komali Kantamaneni, Chandradeo Bokhoree, Upaka Rathnayake, Michael Fernando
Journal: Scientific Reports · DOI: 10.1038/s41598-024-57563-4 · Citations: 53
Matched topics: climate change
Mangroves are amongst the richest ecosystems in the world providing valuable goods and services to millions of people while enhancing the resilience of coastal communities against climate change induced hazards, especially island nations. However, these mangroves are severely affected by many anthropogenic activities. Therefore, understanding the spatial variability of mangroves in island nations is highly essential in the events of ongoing climatic change. Thus, this study assessed the use o…
Contribution of buildings climate change mitigation options to sustainable development
Authors: Sebastian Mirasgedis, Luisa F. Cabeza, David Vérez
Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.105355 · Citations: 50
Matched topics: climate change
Buildings are responsible for a big part of total GHG emissions; therefore, their climate change mitigation potential is high. But research shows that mitigation actions in the sector can have significant social and economic values beyond reduction of energy consumption and the associated GHG emissions. This paper summarizes these multiple impacts of mitigation actions in buildings, which are related to microeconomic and macroeconomic effects, health impacts, environmental benefits, better ma…
Infectious Diseases in a Changing Climate
Authors: Matthew C. Phillips, Regina C. LaRocque, George R. Thompson
Journal: JAMA · DOI: 10.1001/jama.2023.27724 · Citations: 49
Matched topics: climate change
This JAMA Insights in the Climate Change and Health series discusses the importance of clinicians having awareness of changes in the geographic range, seasonality, and intensity of transmission of infectious diseases to help them diagnose, treat, and prevent these diseases.
The miR6445‐ NAC029 module regulates drought tolerance by regulating the expression of glutathione S‐transferase U23 and reactive oxygen species scavenging in Populus
Authors: Meng‐Xue Niu, Cong‐Hua Feng, Fang He, Han Zhang, Yu Bao, Shujing Liu et al.
Journal: New Phytologist · DOI: 10.1111/nph.19703 · Citations: 48
Matched topics: drought
MicroRNAs are essential in plant development and stress resistance, but their specific roles in drought stress require further investigation. Here, we have uncovered that a Populus-specific microRNAs (miRNA), miR6445, targeting NAC (NAM, ATAF, and CUC) family genes, is involved in regulating drought tolerance of poplar. The expression level of miR6445 was significantly upregulated under drought stress; concomitantly, seven targeted NAC genes showed significant downregulation. Silencing the ex…
Climate change and broiler production
Authors: O.E. Oke, Oluwaseun Ayomide Akosile, Victoria Anthony Uyanga, Folasade Olukemi Oke, Aderanti Ifeoluwa Oni, K. Tona et al.
Journal: Veterinary Medicine and Science · DOI: 10.1002/vms3.1416 · Citations: 43
Matched topics: climate change
Climate change has emerged as a significant occurrence that adversely affects broiler production, especially in tropical climates. Broiler chickens, bred for rapid growth and high meat production, rely heavily on optimal environmental conditions to achieve their genetic potential. However, climate change disrupts these conditions and poses numerous challenges for broiler production. One of the primary impacts of climate change on broiler production is the decreased ability of birds to attain …
A double-stranded RNA binding protein enhances drought resistance via protein phase separation in rice
Authors: Huaijun Wang, Tiantian Ye, Zilong Guo, Yilong Yao, Haifu Tu, Pengfei Wang et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-46754-2 · Citations: 42
Matched topics: drought
Drought stress significantly impacts global rice production, highlighting the critical need to understand the genetic basis of drought resistance in rice. Here, through a genome-wide association study, we reveal that natural variations in DROUGHT RESISTANCE GENE 9 (DRG9), encoding a double-stranded RNA (dsRNA) binding protein, contribute to drought resistance. Under drought stress, DRG9 condenses into stress granules (SGs) through liquid-liquid phase separation via a crucial α-helix. DRG9 rec…
A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales
Authors: Martha C. Anderson, William P. Kustas, John M. Norman, George T. Diak, Christopher Hain, Feng Gao et al.
Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2024.109951 · Citations: 42
Matched topics: land surface model
Thermal infrared (TIR) remote sensing of the land-surface temperature (LST) provides an invaluable diagnostic of surface fluxes and vegetation state, from plant and sub-field scales up to regional and global coverage. However, without proper consideration of the nuances of the remotely sensed LST signal, TIR imaging can give poor results for estimating sensible and latent heating. For example, sensor view angle, atmospheric impacts, and differential coupling of soil and canopy sub-pixel eleme…
Elevation-dependent pattern of net CO2 uptake across China
Authors: Da Wei, Jing Tao, Zhuangzhuang Wang, Hui Zhao, Wei Zhao, Xiaodan Wang
Journal: Nature Communications · DOI: 10.1038/s41467-024-46930-4 · Citations: 42
Matched topics: land surface model
uptake, denoted by net ecosystem productivity (NEP). Here, by analyzing data from 203 eddy covariance sites across China, we report a negative linear elevation-dependent pattern of NEP, collectively shaped by varying hydrothermal factors, nutrient supply, and ecosystem types. Furthermore, the NEP shows a higher temperature sensitivity in high-elevation environments (3000-5000 m) compared with the lower-elevation environments (<3000 m). Model ensemble and satellite-based observations consisten…
Demand-side climate change mitigation: where do we stand and where do we go?
Authors: Felix Creutzig, Joyashree Roy, Jan C. Minx
Journal: Environmental Research Letters · DOI: 10.1088/1748-9326/ad33d3 · Citations: 37
Matched topics: climate change, hydropower
Abstract It is now well established that the demand side can contribute substantially to climate change mitigation thus increasing the solution space. The recent IPCC synthesis report for the first time explicitly reflected this class of solutions. Here, we provide an overview of an unique set of 22 review papers published in the focus issue of Environmental Research Letters. We also extract a key set of insights, ranging from the varied but rapidly evolving literature to demand-side mitigati…
EXPLORING THEORETICAL CONSTRUCTS OF URBAN RESILIENCE THROUGH SMART WATER GRIDS: CASE STUDIES IN AFRICAN AND U.S. CITIES
Authors: Fatai Adeshina Adelani, Enyinaya Stefano Okafor, Boma Sonimiteim Jacks, Olakunle Abayomi Ajala
Journal: Engineering Science & Technology Journal · DOI: 10.51594/estj.v5i3.952 · Citations: 40
Matched topics: water management
This review paper explores the theoretical constructs of urban resilience through the lens of smart water grids, focusing on comparative insights between African and U.S. cities. Urban resilience, a critical concern in the face of climate change and urbanization, encompasses the capacity of urban systems to absorb, adapt, and recover from various shocks and stresses. Integrating advanced technologies such as sensors, smart meters, and data analytics, smart water grids emerge as innovative sol…
Biodiversity promotes resistance but dominant species shape recovery of grasslands under extreme drought
Authors: Manuele Bazzichetto, Marta Gaia Sperandii, Caterina Penone, Petr Keil, Eric Allan, Jan Lepš et al.
Journal: Journal of Ecology · DOI: 10.1111/1365-2745.14288 · Citations: 40
Matched topics: drought
Abstract How biodiversity underpins ecosystem resistance (i.e. ability to withstand environmental perturbations) and recovery (i.e. ability to return to a pre‐perturbation state), and thus, stability under extreme climatic events is a timely question in ecology. To date, most studies have focussed on the role of taxonomic diversity, neglecting how community functional composition and diversity beget stability under exceptional climatic conditions. In addition, land use potentially modulates h…
Quantifying the long-term changes of terrestrial water storage and their driving factors
Authors: Xiaoying Shi, Yaoping Wang, Jiafu Mao, Peter Thornton, Daniel M. Riccuito, Forrest M. Hoffman et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131096 · Citations: 19
Matched topics: hydrology, runoff, streamflow, land surface model, earth system model
Abstract not available.
Harnessing root-soil-microbiota interactions for drought-resilient cereals
Authors: Somayeh Gholizadeh, Iman Nemati, Mette Vestergård, Christopher J. Barnes, Enoch Narh Kudjordjie, Mogens Nicolaisen
Journal: Microbiological Research · DOI: 10.1016/j.micres.2024.127698 · Citations: 36
Matched topics: drought
Cereal plants form complex networks with their associated microbiome in the soil environment. A complex system including variations of numerous parameters of soil properties and host traits shapes the dynamics of cereal microbiota under drought. These multifaceted interactions can greatly affect carbon and nutrient cycling in soil and offer the potential to increase plant growth and fitness under drought conditions. Despite growing recognition of the importance of plant microbiota to agroecos…
Climate change and tourism geographies
Authors: Stefan Gößling, Daniel Scott
Journal: Tourism Geographies · DOI: 10.1080/14616688.2024.2332359 · Citations: 36
Matched topics: climate change
Climate change is no longer in the future, it is an evolving business and policy reality for tourism. Extreme weather events including heavy rainfall and flooding, drought, heat waves, storms, and wildfires have become more frequent and intense, affecting tourism destinations and demand everywhere in the world. Climate change also affects important tourism assets. Snowfall has become less reliable in many winter destinations, while sea level rise and ocean warming threaten resources such as b…
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 3 papers advancing methodologies for flood susceptibility mapping, early warning systems, and resilience evaluation. Multiple studies employ GIS-based multi-criteria approaches and machine learning methods for spatial flood hazard assessment across diverse regions. Research also addresses the social dimensions of flood preparedness and strategic planning for flood mitigation.
Global prediction of extreme floods in ungauged watersheds
Authors: Grey Nearing, Déborah Cohen, Vusumuzi Dube, Martin Gauch, Oren Gilon, Shaun Harrigan et al.
Journal: Nature · DOI: 10.1038/s41586-024-07145-1 · Citations: 280
Matched topics: hydrology, hydrologic model, runoff, streamflow, flood, earth system model
, but hydrological simulation models typically must be calibrated to long data records in each watershed. Here we show that artificial intelligence-based forecasting achieves reliability in predicting extreme riverine events in ungauged watersheds at up to a five-day lead time that is similar to or better than the reliability of nowcasts (zero-day lead time) from a current state-of-the-art global modelling system (the Copernicus Emergency Management Service Global Flood Awareness System). In …
Optimizing flood susceptibility assessment in semi-arid regions using ensemble algorithms: a case study of Moroccan High Atlas
Authors: Youssef Bammou, Brahim Benzougagh, Brahim Igmoullan, Abdessalam Ouallali, Shuraik Kader, Velibor Spalevıć et al.
Journal: Natural Hazards · DOI: 10.1007/s11069-024-06550-z · Citations: 31
Matched topics: hydrologic model, flood, land surface model
Abstract This study explores and compares the predictive capabilities of various ensemble algorithms, including SVM, KNN, RF, XGBoost, ANN, DT, and LR, for assessing flood susceptibility (FS) in the Houz plain of the Moroccan High Atlas. The inventory map of past flooding was prepared using binary data from 2012 events, where “1” indicates a flood-prone area and “0” a non-flood-prone or extremely low area, with 762 indicating flood-prone areas. 15 different categorical factors were determined…
Comprehensive Review of the Determination and Reduction of the Minimum Miscibility Pressure during CO2 Flooding
Authors: Guoliang Song, Y. Gloria Meng, Chengli Zhang, Zhen Zhao, Qianyu Yang
Journal: ACS Omega · DOI: 10.1021/acsomega.4c00469 · Citations: 38
Matched topics: flood
injection, it is easily limited by the physical property parameters. Therefore, accurately determining and effectively reducing the minimum mixing pressure has become the focus of research. Currently, there are two types of methods for determining the minimum miscible pressure: experimental and theoretical methods. The experimental method is generally considered more accurate, including the slim tube test, rising bubble apparatus, and vanishing interfacial tension, etc. However, it is worth n…
Machine Learning and AI for Hydrological Prediction
This week’s 9 papers demonstrate continued momentum in applying machine learning and artificial intelligence to hydrological prediction challenges. Contributions span groundwater level forecasting, streamflow prediction, river flow modeling, and physics-informed approaches that integrate domain knowledge with data-driven methods. Notable advances include uncertainty quantification in ML predictions and optimization of model architectures for improved hydrological forecasting.
A Novel Variant of LSTM Stock Prediction Method Incorporating Attention Mechanism
Authors: Shuai Sang, Lü Li
Journal: Mathematics · DOI: 10.3390/math12070945 · Citations: 63
Matched topics: streamflow
Long Short-Term Memory (LSTM) is an effective method for stock price prediction. However, due to the nonlinear and highly random nature of stock price fluctuations over time, LSTM exhibits poor stability and is prone to overfitting, resulting in low prediction accuracy. To address this issue, this paper proposes a novel variant of LSTM that couples the forget gate and input gate in the LSTM structure, and adds a “simple” forget gate to the long-term cell state. In order to enhance the general…
Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction
Authors: Xin Li, Qunxi Zhu, Chengli Zhao, Xiaojun Duan, Bolin Zhao, Xue Zhang et al.
Journal: Nature Communications · DOI: 10.1038/s41467-024-46852-1 · Citations: 51
Matched topics: reservoir
Recently, machine learning methods, including reservoir computing (RC), have been tremendously successful in predicting complex dynamics in many fields. However, a present challenge lies in pushing for the limit of prediction accuracy while maintaining the low complexity of the model. Here, we design a data-driven, model-free framework named higher-order Granger reservoir computing (HoGRC), which owns two major missions: The first is to infer the higher-order structures incorporating the idea…
Large-scale flood modeling and forecasting with FloodCast
Authors: Qingsong Xu, Yilei Shi, Jonathan Bamber, C. Ouyang, Xiao Xiang Zhu
Journal: Water Research · DOI: 10.48550/arXiv.2403.12226 · Citations: 50
Matched topics: flood
Large-scale hydrodynamic models generally rely on fixed-resolution spatial grids and model parameters as well as incurring a high computational cost. This limits their ability to accurately forecast flood crests and issue time-critical hazard warnings. In this work, we build a fast, stable, accurate, resolution-invariant, and geometry-adaptive flood modeling and forecasting framework that can perform at large scales, namely FloodCast. The framework comprises two main modules: multi-satellite …
Coupling the remote sensing data-enhanced SWAT model with the bidirectional long short-term memory model to improve daily streamflow simulations
Authors: Lei Jin, Huazhu Xue, Guotao Dong, Yue Han, Zichuang Li, Yaokang Lian
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131117 · Citations: 44
Matched topics: hydrologic model, streamflow
Global climate change has led to an increase in the frequency and scale of extreme weather events worldwide, and there is an urgent need to develop better-performing hydrological models to improve the accuracy of streamflow simulations and to facilitate water resource planning and management. The Soil and Water Assessment Tool (SWAT) has a notable physical foundation and is widely used in hydrological research. However, it uses a simplified vegetation growth model, introducing uncertainty int…
The Potential of Neural Network Potentials
Authors: Timothy T. Duignan
Journal: ACS Physical Chemistry Au · DOI: 10.1021/acsphyschemau.4c00004 · Citations: 48
Matched topics: earth system model
In the next half-century, physical chemistry will likely undergo a profound transformation, driven predominantly by the combination of recent advances in quantum chemistry and machine learning (ML). Specifically, equivariant neural network potentials (NNPs) are a breakthrough new tool that are already enabling us to simulate systems at the molecular scale with unprecedented accuracy and speed, relying on nothing but fundamental physical laws. The continued development of this approach will re…
Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship
Authors: Özgür Kişi, Hazi Mohammad Azamathulla, Fatih Cevat, Christoph Külls, Mehdi Kuhdaragh, Mehdi Fuladipanah
Journal: Results in Engineering · DOI: 10.1016/j.rineng.2024.102017 · Citations: 30
Matched topics: hydrologic model, river, streamflow
Streamflow, a pivotal variable in water resources management, holds profound significance in shaping the decision-making processes of hydrologic projects. This paper tries to delve into the exploration of the stage-discharge relationship using three machine learning methods (MLMs) namely multi-layer neural networks (MLNN), radial basis neural networks (RBNN), and neuro-fuzzy systems (ANFIS) to predict and simulate mean daily stage-discharge data derived from two monitoring stations, Bulakbasi…
THEORETICAL FRAMEWORKS FOR THE ROLE OF AI AND MACHINE LEARNING IN WATER CYBERSECURITY: INSIGHTS FROM AFRICAN AND U.S. APPLICATIONS
Authors: Fatai Adeshina Adelani, Enyinaya Stefano Okafor, Boma Sonimiteim Jacks, Olakunle Abayomi Ajala
Journal: Computer Science & IT Research Journal · DOI: 10.51594/csitrj.v5i3.928 · Citations: 37
Matched topics: hydrology
This review paper explores the theoretical frameworks underpinning the application of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing cybersecurity within the water sector, with a focus on both African and U.S. contexts. It delves into the unique cybersecurity challenges faced by the water sector, emphasizing the critical role of AI and ML in identifying, predicting, and mitigating cyber threats. The paper discusses the ethical considerations and regulatory frameworks infl…
LEFormer: A Hybrid CNN-Transformer Architecture for Accurate Lake Extraction from Remote Sensing Imagery
Authors: Ben Chen, Xuechao Zou, Yu Zhang, Jiayu Li, Kai Li, Junliang Xing et al.
Journal: ** · DOI: 10.1109/icassp48485.2024.10446785 · Citations: 37
Matched topics: surface water
Lake extraction from remote sensing images is challenging due to the complex lake shapes and inherent data noises. Existing methods suffer from blurred segmentation boundaries and poor foreground modeling. This paper proposes a hybrid CNN-Transformer architecture, called LEFormer, for accurate lake extraction. LEFormer contains three main modules: CNN encoder, Transformer encoder, and cross-encoder fusion. The CNN encoder effectively recovers local spatial information and improves fine-scale …
Time series prediction of reservoir bank landslide failure probability considering the spatial variability of soil properties
Authors: Luqi Wang, Lin Wang, Wengang Zhang, Xuanyu Meng, Songlin Liu, Chun Zhu
Journal: Journal of Rock Mechanics and Geotechnical Engineering · DOI: 10.1016/j.jrmge.2023.11.040 · Citations: 36
Matched topics: reservoir
Historically, landslides have been the primary type of geological disaster worldwide. Generally, the stability of reservoir banks is primarily affected by rainfall and reservoir water level fluctuations. Moreover, the stability of reservoir banks changes with the long-term dynamics of external disaster-causing factors. Thus, assessing the time-varying reliability of reservoir landslides remains a challenge. In this paper, a machine learning (ML) based approach is proposed to analyze the long-…
Water Management, Irrigation, and Groundwater
Water management research this week spans 3 papers covering integrated water resources management, irrigation scheduling, groundwater monitoring, and water-energy-food nexus analyses. Studies range from global-scale assessments to site-specific irrigation optimization, with particular attention to satellite-based monitoring of water use and land subsidence from groundwater extraction.
Nitrate contamination in groundwater and its evaluation of non-carcinogenic health hazards from Arjunanadi River basin, south India
Authors: D. Karunanidhi, P. Aravinthasamy, Priyadarsi D. Roy, T. Subramani, H. Chandra Jayasena
Journal: Groundwater for Sustainable Development · DOI: 10.1016/j.gsd.2024.101153 · Citations: 52
Matched topics: river
Abstract not available.
Fate and behaviour of Microplastics (> 25µm) within the water distribution network, from water treatment works to service reservoirs and customer taps
Authors: Gbotemi A. Adediran, Ruairidh Cox, Monika D. Jürgens, Elise Morel, Richard K. Cross, Heather Carter et al.
Journal: Water Research · DOI: 10.1016/j.watres.2024.121508 · Citations: 42
Matched topics: reservoir
Water treatment works have previously shown high efficiency in removing microplastics > 25 µm from raw source water. However, what is less well known is the extent to which microplastics of this size class are generated or lost within the water distribution network, particularly whether there is a greater presence in the customer tap than in the water treatment works outlet. This study focused on the presence of 21 different types of synthetic polymer particles with sizes larger than 25 µm ex…
Environmental, industrial, and health benefits of Moringa oleifera
Authors: Harshika Mahaveerchand, Abdul Ajees Abdul Salam
Journal: Phytochemistry Reviews · DOI: 10.1007/s11101-024-09927-x · Citations: 38
Matched topics: runoff
Abstract The rise of air, water, and soil pollution poses a significant threat to global health, leading to widespread disease and premature mortality. Soil health is vital, ensuring the production of safe food, but it is compromised by pollutants such as heavy metals, pesticides, plastics, and excessive fertilization, resulting in the depletion of beneficial microorganisms and subsequently groundwater contamination. Water bodies are polluted due to contamination from industrial effluents, do…
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 9 papers advancing understanding of hydrological processes through field observations, modeling, and remote sensing. Research covers snow distribution and dynamics in cold regions, forest-hydrology interactions, land use change impacts on river systems, rainfall-runoff modeling uncertainty, and satellite-based monitoring of terrestrial water resources.
Source-specific probabilistic health risk assessment of heavy metals in surface water of the Yangtze River Basin.
Authors: Xing Chen, Xinyi Fu, Guolian Li, Jiamei Zhang, Haibin Li, Fazhi Xie
Journal: Science of the Total Environment · DOI: 10.1016/j.scitotenv.2024.171923 · Citations: 70
Matched topics: river, surface water
The detrimental effects of heavy metal accumulation on both ecosystems and public health have raised widespread concern. Source-specific risk assessment is crucial for developing effective strategies to prevent and control heavy metal contamination in surface water. This study aims to investigate the contamination characteristics of heavy metals in the Yangtze River Basin, identifying the pollution sources, assessing the risk levels, and further evaluating the health risks to humans. The resu…
Exploring future ecosystem service changes and key contributing factors from a “past-future-action” perspective: A case study of the Yellow River Basin
Authors: Kaili Zhang, Bin Fang, Zhicheng Zhang, Tan Liu, Kang Liu
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.171630 · Citations: 65
Matched topics: river
Abstract not available.
Towards a Circular Economy in the Mining Industry: Possible Solutions for Water Recovery through Advanced Mineral Tailings Dewatering
Authors: Laila Hamraoui, Abdelilah Bergani, Mouna Ettoumi, Abdelmaula Aboulaich, Yassine Taha, Abdessamad Khalil et al.
Journal: Minerals · DOI: 10.3390/min14030319 · Citations: 62
Matched topics: water management
The mining industry is confronted with substantial challenges in achieving environmental sustainability, particularly regarding water usage, waste management, and dam safety. The increasing global demand for minerals has led to increased mining activities, resulting in significant environmental consequences. By 2025, an estimated 19 billion tons of solid tailings are projected to accumulate worldwide, exacerbating concerns over their management. Tailings storage facilities represent the large…
Advancing river monitoring using image-based techniques: challenges and opportunities
Authors: Salvatore Manfreda, Domenico Miglino, Khim Cathleen Saddi, Seifeddine Jomaa, Anette Eltner, Matthew Perks et al.
Journal: Hydrological Sciences Journal · DOI: 10.1080/02626667.2024.2333846 · Citations: 48
Matched topics: hydrology, river, streamflow
Enhanced and effective hydrological monitoring plays a crucial role in understanding water-related processes in a rapidly changing world. Within this context, image-based river monitoring has shown to significantly enhance data collection, improve analysis and accuracy, and support effective and timely decision-making. The integration of remote and proximal sensing technologies, with citizen science, and artificial intelligence may revolutionize monitoring practices. Therefore, it is crucial …
Improving the simulations of the hydrological model in the karst catchment by integrating the conceptual model with machine learning models
Authors: Cenk Sezen, Mojca Šraj
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.171684 · Citations: 40
Matched topics: hydrology, hydrologic model, runoff, streamflow
Hydrological modelling can be complex in nonhomogeneous catchments with diverse geological, climatic, and topographic conditions. In this study, an integrated conceptual model including the snow module with machine learning modelling approaches was implemented for daily rainfall-runoff modelling in mostly karst Ljubljanica catchment, Slovenia, which has heterogeneous characteristics and is potentially exposed to extreme events that make the modelling process more challenging and crucial. In t…
Using satellite imagery to estimate CO2 partial pressure and exchange with the atmosphere in the Songhua River
Authors: Chunlan Xiong, Hui Tao, Shiwei Liu, Ge Liu, Zhidan Wen, Yingxin Shang et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.131074 · Citations: 48
Matched topics: river, land surface model
Abstract not available.
Drought Spatial Extent and Dependence Increase During Drought Propagation From the Atmosphere to the Hydrosphere
Authors: Manuela I. Brunner, Corentin Chartier‐Rescan
Journal: Geophysical Research Letters · DOI: 10.1029/2023gl107918 · Citations: 42
Matched topics: streamflow, drought
Abstract As droughts propagate both in time and space, their impacts increase because of changes in drought properties. Because temporal and spatial drought propagation are mostly studied separately, it is yet unknown how drought spatial extent and connectedness change as droughts propagate though the hydrological cycle from precipitation to streamflow and groundwater. Here, we use a large‐sample dataset of 70 catchments in Central Europe to study the propagation of local and spatial drought …
Integrated GIS and analytic hierarchy process for flood risk assessment in the Dades Wadi watershed (Central High Atlas, Morocco)
Authors: Asmae Aichi, Mustapha Ikirri, Mohamed Ait Haddou, Adolfo Quesada‐Román, Satiprasad Sahoo, Chiranjit Singha et al.
Journal: Results in Earth Sciences · DOI: 10.1016/j.rines.2024.100019 · Citations: 38
Matched topics: hydrologic model, flood
Flood risk assessment is crucial for delineating flood hazard zones and formulating effective mitigation strategies. Employing a multi-criteria decision support system, this study focused on assessing a Flood Risk Index (FHI) at the Dades Wadi watershed scale. Seven main flood-causing criteria were broadly selected, namely flow accumulation, distance from hydrographic network, drainage network density, land use, slope, rainfall, and permeability. The relative importance of each criterion prio…
Ground deformation monitoring via PS-InSAR time series: An industrial zone in Sacco River Valley, central Italy
Authors: Ebrahim Ghaderpour, Paolo Mazzanti, Francesca Bozzano, Gabriele Scarascia Mugnozza
Journal: Remote Sensing Applications Society and Environment · DOI: 10.1016/j.rsase.2024.101191 · Citations: 37
Matched topics: river, streamflow
Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) is an advanced technique enabling effective ground deformation monitoring. In this study, PS-InSAR time series of Sentinel-1 ascending and descending orbits for period 2015–2022 are utilized for an industrial zone in Sacco River Valley, Central Italy. The Sequential Turning Point Detection (STPD) is applied to estimate the trend turning points and their directions in PS-InSAR time series. In addition, river flow and clim…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 810 |
| After deduplication | 600 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 550 |
Papers by journal
| Journal | Papers |
|---|---|
| Nature Communications | 4 |
| Journal of Hydrology | 4 |
| The Science of The Total Environment | 2 |
| Water Research | 2 |
| Nature | 1 |
| Plant Physiology | 1 |
| Earth system science data | 1 |
| Science of the Total Environment | 1 |
| Ecological Informatics | 1 |
| BioScience | 1 |
| Finance research letters | 1 |
| Mathematics | 1 |
| Minerals | 1 |
| Frontiers in Microbiology | 1 |
| Nature Climate Change | 1 |
| Hydrological Sciences Journal | 1 |
| Photochemical & Photobiological Sciences | 1 |
| Science Advances | 1 |
| npj Climate and Atmospheric Science | 1 |
| Scientific Reports | 1 |
| Groundwater for Sustainable Development | 1 |
| Sustainable Cities and Society | 1 |
| JAMA | 1 |
| New Phytologist | 1 |
| ACS Physical Chemistry Au | 1 |
| Geophysical Research Letters | 1 |
| Veterinary Medicine and Science | 1 |
| Results in Earth Sciences | 1 |
| Agricultural and Forest Meteorology | 1 |
| Remote Sensing Applications Society and Environment | 1 |
| Environmental Research Letters | 1 |
| Natural Hazards | 1 |
| Engineering Science & Technology Journal | 1 |
| Journal of Ecology | 1 |
| Results in Engineering | 1 |
| Phytochemistry Reviews | 1 |
| ACS Omega | 1 |
| Computer Science & IT Research Journal | 1 |
| 1 | |
| Journal of Rock Mechanics and Geotechnical Engineering | 1 |
| Microbiological Research | 1 |
| Tourism Geographies | 1 |
Filtering Criteria
Topics: hydrology, hydrologic model, river, runoff, streamflow, reservoir, water management, flood, drought, seasonal, land surface model, climate change, hydropower, surface water, irrigation, earth system model
Databases: Semantic Scholar, OpenAlex