Weekly Literature Review

Week 35 · August 28–September 3, 2023

50 relevant papers found across 6 themes

Executive Summary

This week’s review covers 50 papers across 6 themes. The most cited paper examines Climate change and malaria: some recent trends of malaria incidence rates and av, with 160 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

  1. Executive Summary
  2. Climate Change and Terrestrial Water Storage
    1. Climate change and malaria: some recent trends of malaria incidence rates and average annual temperature in selected sub-Saharan African countries from 2000 to 2018
    2. Selective Removal of Organic Pollutants in Groundwater and Surface Water by Persulfate-Assisted Advanced Oxidation: The Role of Electron-Donating Capacity.
    3. Seasonal changes driving shifts in microbial community assembly and species coexistence in an urban river.
    4. Climate change exacerbates snow-water-energy challenges for European ski tourism
    5. Anthropogenic fingerprints in daily precipitation revealed by deep learning
    6. Understanding global groundwater-climate interactions
    7. Sensitivity of South American tropical forests to an extreme climate anomaly
    8. Air pollution and climate change
    9. Media coverage of climate change, eco-anxiety and pro-environmental behavior: Experimental evidence and the resilience paradox
    10. Balancing-oriented hydropower operation makes the clean energy transition more affordable and simultaneously boosts water security
    11. Arctic soil methane sink increases with drier conditions and higher ecosystem respiration
    12. Climate zones in Iran
    13. Understanding Fire Regimes for a Better Anthropocene
    14. Multi-source precipitation products assessment on drought monitoring across global major river basins
    15. Interfacial Tension–Temperature–Pressure–Salinity Relationship for the Hydrogen–Brine System under Reservoir Conditions: Integration of Molecular Dynamics and Machine Learning
    16. Carbon Sequestration Dynamics in Urban-Adjacent Forests: A 50-Year Analysis
    17. An update on the influence of natural climate variability and anthropogenic climate change on tropical cyclones
    18. Tackling Growing Drought Risks—The Need for a Systemic Perspective
    19. Bees exposed to climate change are more sensitive to pesticides
    20. Generating daily 100 m resolution land surface temperature estimates continentally using an unbiased spatiotemporal fusion approach
    21. Attribution of 2022 early-spring heatwave in India and Pakistan to climate change: lessons in assessing vulnerability and preparedness in reducing impacts
    22. Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model.
  3. Flood Risk Assessment and Extreme Precipitation
    1. Global Projections of Storm Surges Using High‐Resolution CMIP6 Climate Models
    2. A critical review for the application of Cutting-edge Digital Visualisation Technologies for Effective Urban Flood Risk Management
    3. Strengthening resilience in reconstruction after extreme events – Insights from flood affected communities in Germany
    4. Urban flood risk assessment based on DBSCAN and K-means clustering algorithm
    5. Experimental investigation on the effect of interfacial properties of chemical flooding for enhanced heavy oil recovery
  4. Machine Learning and AI for Hydrological Prediction
    1. A Review of Hybrid Deep Learning Applications for Streamflow Forecasting
    2. Harnessing AI and computing to advance climate modelling and prediction
    3. Robust Runoff Prediction With Explainable Artificial Intelligence and Meteorological Variables From Deep Learning Ensemble Model
    4. Enhancing process-based hydrological models with embedded neural networks: A hybrid approach
    5. Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city
    6. Physical Reservoir Computing Based on Nanoscale Materials and Devices
    7. A hybrid physics-informed data-driven neural network for CO2 storage in depleted shale reservoirs
    8. Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review
    9. Monitoring groundwater potential dynamics of north-eastern Bengal Basin in Bangladesh using AHP-Machine learning approaches
    10. Projection of future precipitation change using CMIP6 multimodel ensemble based on fusion of multiple machine learning algorithms: A case in Hanjiang River Basin, China
  5. Hydropower and Renewable Energy-Water Systems
    1. Techno-economic assessment of integrating hydrogen energy storage technology with hybrid photovoltaic/pumped storage hydropower energy system
  6. Water Management, Irrigation, and Groundwater
    1. Target and nontarget analysis of per- and polyfluoroalkyl substances in surface water, groundwater and sediments of three typical fluorochemical industrial parks in China
    2. Mitigating risks and maximizing sustainability of treated wastewater reuse for irrigation
  7. Hydrological Processes, Snow Dynamics, and Remote Sensing
    1. Widespread changes in Southern Ocean phytoplankton blooms linked to climate drivers
    2. The distribution and characterisation of microplastics in air, surface water and sediment within a major river system
    3. Sustainable lake restoration: From challenges to solutions
    4. STING signaling promotes NK cell antitumor immunity and maintains a reservoir of TCF-1+ NK cells.
    5. Multi-decadal analysis of past winter temperature, precipitation and snow cover data in the European Alps from reanalyses, climate models and observational datasets
    6. An active HIV reservoir during ART is associated with maintenance of HIV-specific CD8+ T cell magnitude and short-lived differentiation status
    7. The effectiveness of mulching practices on water erosion control: A global meta-analysis
    8. A modified RUSLE model to simulate soil erosion under different ecological restoration types in the loess hilly area
    9. Local Topography and Streambed Hydraulic Conductivity Influence Riparian Groundwater Age and Groundwater‐Surface Water Connection
    10. Near full-length HIV sequencing in multiple tissues collected postmortem reveals shared clonal expansions across distinct reservoirs during ART
  8. Statistics
    1. Papers by journal
  9. Filtering Criteria

Climate Change and Terrestrial Water Storage

This week features 22 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.

Authors: Walter Leal Filho, Julia May, Marta May, Gustavo J. Nagy

Journal: Malaria Journal · DOI: 10.1186/s12936-023-04682-4 · Citations: 160

Matched topics: climate change

BACKGROUND: Malaria is still a disease of massive burden in Africa, also influenced by climate change. The fluctuations and trends of the temperature and precipitation are well-known determinant factors influencing the disease’s vectors and incidence rates. This study provides a concise account of malaria trends. It describes the association between average temperature and malaria incidence rates (IR) in nine sub-Saharan African countries: Nigeria, Ethiopia, South Africa, Kenya, Uganda, Ghana…


Selective Removal of Organic Pollutants in Groundwater and Surface Water by Persulfate-Assisted Advanced Oxidation: The Role of Electron-Donating Capacity.

Authors: Xinru Liu, Hehe Qin, Siyang Xing, Y. Liu, C. Chu, Dianhai Yang et al.

Journal: Environmental Science and Technology · DOI: 10.1021/acs.est.3c04870 · Citations: 119

Matched topics: surface water

The efficiency of persulfate-assisted advanced oxidation processes (PS-AOPs) in degrading organic pollutants is affected by the electron-donating capability of organic substances present in the water source. In this study, we systematically investigate the electron-donating capacity (EDC) difference between groundwater and surface water and demonstrate the dependence of removal efficiency on the EDC of target water by PS-AOPs with carbon nanotubes (CNTs) as a catalyst. Laboratory analyses and…


Seasonal changes driving shifts in microbial community assembly and species coexistence in an urban river.

Authors: Wangkai Fang, T. Fan, Shun Wang, Xiaokun Yu, Akang Lu, Xingming Wang et al.

Journal: Science of the Total Environment · DOI: 10.1016/j.scitotenv.2023.167027 · Citations: 87

Matched topics: river, seasonal

Microbial communities play a vital role in urban river biogeochemical cycles. However, the seasonal variations in microbial community characteristics, particularly phylogenetic group-based community assembly and species coexistence, have not been extensively investigated. Here, we systematically explored the microbiome characteristics and assembly mechanisms of urban rivers in different seasons using 16S rRNA gene sequencing and multivariate statistical methods. The results indicated that the…


Climate change exacerbates snow-water-energy challenges for European ski tourism

Authors: Hugues François, Raphaëlle Samacoïts, David Neil Bird, Judith Köberl, Franz Prettenthaler, Samuel Morin

Journal: Nature Climate Change · DOI: 10.1038/s41558-023-01759-5 · Citations: 91

Matched topics: climate change

Abstract not available.


Anthropogenic fingerprints in daily precipitation revealed by deep learning

Authors: Yoo‐Geun Ham, Jeong-Hwan Kim, Seung‐Ki Min, Daehyun Kim, Tim Li, Axel Timmermann et al.

Journal: Nature · DOI: 10.1038/s41586-023-06474-x · Citations: 89

Matched topics: hydrologic model

. After applying the algorithm to the observational record, we found that the daily precipitation data represented an excellent predictor for the observed planetary warming, as they showed a clear deviation from natural variability since the mid-2010s. Furthermore, we analysed the deep-learning model with an explainable framework and observed that the precipitation variability of the weather timescale (period less than 10 days) over the tropical eastern Pacific and mid-latitude storm-track re…


Understanding global groundwater-climate interactions

Authors: Christopher E. Ndehedehe, Oluwafemi E. Adeyeri, Alex O. Onojeghuo, Vagner G. Ferreira, Ikechukwu Kalu, Onuwa Okwuashi

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.166571 · Citations: 76

Matched topics: hydrology, streamflow, surface water

Global warming is emerging as an important predictor of water availability and future water supplies across the world through inducing the frequency and severity in hydrological extremes. These extremes (e.g., drought) have potential impacts on groundwater, environmental flows, as well as increase social inequalities (limited access to water by the poor), among a range of other issues. Understanding the influence of global climate on groundwater systems is thus critical to help reshape global…


Sensitivity of South American tropical forests to an extreme climate anomaly

Authors: Amy C. Bennett, Thaiane R. Sousa, Abel Monteagudo‐Mendoza, Adriane Esquivel‐Muelbert, Paulo S. Morandi, Fernanda Coelho de Souza et al.

Journal: Nature Climate Change · DOI: 10.1038/s41558-023-01776-4 · Citations: 84

Matched topics: earth system model

Abstract The tropical forest carbon sink is known to be drought sensitive, but it is unclear which forests are the most vulnerable to extreme events. Forests with hotter and drier baseline conditions may be protected by prior adaptation, or more vulnerable because they operate closer to physiological limits. Here we report that forests in drier South American climates experienced the greatest impacts of the 2015–2016 El Niño, indicating greater vulnerability to extreme temperatures and drough…


Air pollution and climate change

Authors: Ana‐Catarina Pinho‐Gomes, Eleanor Roaf, Gary W. Fuller, D. Fowler, Alastair C. Lewis, Helen ApSimon et al.

Journal: The Lancet Planetary Health · DOI: 10.1016/s2542-5196(23)00189-4 · Citations: 77

Matched topics: climate change

Abstract not available.


Media coverage of climate change, eco-anxiety and pro-environmental behavior: Experimental evidence and the resilience paradox

Authors: Lei Shao, Guoliang Yu

Journal: Journal of Environmental Psychology · DOI: 10.1016/j.jenvp.2023.102130 · Citations: 70

Matched topics: climate change

Abstract not available.


Balancing-oriented hydropower operation makes the clean energy transition more affordable and simultaneously boosts water security

Authors: Zhanwei Liu, Xiaogang He

Journal: Nature Water · DOI: 10.1038/s44221-023-00126-0 · Citations: 69

Matched topics: hydropower

Reservoir hydropower offers a compelling combination of stability and flexibility services for modern water and power grids. However, its operating flexibility is poorly characterized in energy system planning, missing opportunities to cost-effectively uptake variable renewable energy (VRE) for a clean energy transition. In this study, we have developed a fully coupled reservoir operation and energy expansion model to quantify the economic and environmental benefits attained from adaptive hyd…


Arctic soil methane sink increases with drier conditions and higher ecosystem respiration

Authors: Carolina Voigt, Anna‐Maria Virkkala, Gabriel Hould Gosselin, Kathryn A. Bennett, T. Andrew Black, Matteo Detto et al.

Journal: Nature Climate Change · DOI: 10.1038/s41558-023-01785-3 · Citations: 68

Matched topics: hydrology

uptake by Arctic soils, providing a negative feedback to global climate change.


Climate zones in Iran

Authors: Mohammad Saeed Najafi, Omid Alizadeh

Journal: Meteorological Applications · DOI: 10.1002/met.2147 · Citations: 62

Matched topics: hydrology

Abstract Climate classification provides a framework for a better understanding of the dominant weather patterns in different regions of the Earth. This study aims at identifying climate zones in Iran based on the analysis of monthly temperature and precipitation over 139 synoptic stations across Iran during the period 1991–2020. Based on the application of the principal component analysis, we identified six distinct climate zones in Iran: mild and humid, cool and sub‐humid, cold and temperat…


Understanding Fire Regimes for a Better Anthropocene

Authors: Luke T. Kelly, Michael‐Shawn Fletcher, Imma Oliveras Menor, Adam F. A. Pellegrini, Ella Plumanns‐Pouton, Pere Pons et al.

Journal: Annual Review of Environment and Resources · DOI: 10.1146/annurev-environ-120220-055357 · Citations: 62

Matched topics: streamflow

Fire is an integral part of the Earth System and humans have skillfully used fire for millennia. Yet human activities are scaling up and reinforcing each other in ways that are reshaping fire patterns across the planet. We review these changes using the concept of the fire regime, which describes the timing, location, and type of fires. We then explore the consequences of fire regime changes on the biological, chemical, and physical processes that sustain life on Earth. Anthropogenic drivers …


Multi-source precipitation products assessment on drought monitoring across global major river basins

Authors: Xushu Wu, Xin Feng, Zhaoli Wang, Yuhong Chen, Zifeng Deng

Journal: Atmospheric Research · DOI: 10.1016/j.atmosres.2023.106982 · Citations: 54

Matched topics: river, drought

Increased availability of precipitation observational datasets allows for accurate drought detection, monitoring and forecast. Most studies have shown accuracy of various precipitation datasets on regional drought detection and/or monitoring, how they perform across different global river basins, however, is less understood. Here, we evaluate five popular precipitation products including GPM-IMERG, ERA5, GLADS, CPC and PREC/L for meteorological drought detection in 46 large river basins globa…


Interfacial Tension–Temperature–Pressure–Salinity Relationship for the Hydrogen–Brine System under Reservoir Conditions: Integration of Molecular Dynamics and Machine Learning

Authors: Sina Omrani, Mehdi Ghasemi, Mrityunjay Singh, Saeed Mahmoodpour, Tianhang Zhou, Masoud Babaei et al.

Journal: Langmuir · DOI: 10.1021/acs.langmuir.3c01424 · Citations: 58

Matched topics: reservoir

) and absolute average relative deviation (AARD) of 0.9783 and 0.9767%, respectively.


Carbon Sequestration Dynamics in Urban-Adjacent Forests: A 50-Year Analysis

Authors: А. А. Вайс, Pavel Mikhaylov, Валентина Попова, Artem Nepovinnykh, Виктор Немич, A. A. Andronova et al.

Journal: Civil Engineering Journal · DOI: 10.28991/cej-2023-09-09-08 · Citations: 57

Matched topics: hydrology

Achieving carbon neutrality is crucial for urban ecosystems. Forests growing near cities largely determine the state of the environment in urban areas. The aim of the present research is to assess the carbon productivity dynamics in forests near Krasnoyarsk (a large industrial center) over a 50-year period in terms of carbon sequestration and conservation. The study was based on forest inventory conducted in Karaul’noe Forestry in 1972, 1982, and 2002 and forest inventory covering six forest …


An update on the influence of natural climate variability and anthropogenic climate change on tropical cyclones

Authors: Suzana J. Camargo, Hiroyuki Murakami, Nadia Bloemendaal, Savin S. Chand, Medha Deshpande, Christian Domínguez et al.

Journal: Tropical Cyclone Research and Review · DOI: 10.1016/j.tcrr.2023.10.001 · Citations: 55

Matched topics: climate change

A substantial number of studies have been published since the Ninth International Workshop on Tropical Cyclones (IWTC-9) in 2018, improving our understanding of the effect of climate change on tropical cyclones (TCs) and associated hazards and risks. These studies have reinforced the robustness of increases in TC intensity and associated TC hazards and risks due to anthropogenic climate change. New modeling and observational studies suggested the potential influence of anthropogenic climate f…


Tackling Growing Drought Risks—The Need for a Systemic Perspective

Authors: Michael Hagenlocher, Gustavo Naumann, Isabel Meza, Veit Blauhut, Davide Cotti, Petra Döll et al.

Journal: Earth s Future · DOI: 10.1029/2023ef003857 · Citations: 44

Matched topics: hydrology, streamflow, drought

Abstract In the last few years, the world has experienced numerous extreme droughts with adverse direct, cascading, and systemic impacts. Despite more frequent and severe events, drought risk assessment is still incipient compared to that of other meteorological and climate hazards. This is mainly due to the complexity of drought, the high level of uncertainties in its analysis, and the lack of community agreement on a common framework to tackle the problem. Here, we outline that to effective…


Bees exposed to climate change are more sensitive to pesticides

Authors: Sergio Albacete, Gonzalo Sancho, Celeste Azpiazu, Anselm Rodrigo, Roberto Molowny‐Horas, Fabio Sgolastra et al.

Journal: Global Change Biology · DOI: 10.1111/gcb.16928 · Citations: 51

Matched topics: climate change

Bee populations are exposed to multiple stressors, including land-use change, biological invasions, climate change, and pesticide exposure, that may interact synergistically. We analyze the combined effects of climate warming and sublethal insecticide exposure in the solitary bee Osmia cornuta. Previous Osmia studies show that warm wintering temperatures cause body weight loss, lipid consumption, and fat body depletion. Because the fat body plays a key role in xenobiotic detoxification, we ex…


Generating daily 100 m resolution land surface temperature estimates continentally using an unbiased spatiotemporal fusion approach

Authors: Yi Yu, Luigi J. Renzullo, Tim R. McVicar, Brendan Malone, Siyuan Tian

Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2023.113784 · Citations: 47

Matched topics: land surface model

Fine spatial resolution (i.e., ≤ 100 m) land surface temperature (LST) data are crucial to study heterogeneous landscapes (e.g., agricultural and urban). Some well-known spatiotemporal fusion methods like the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) and the Enhanced STARFM (ESTARFM), which were originally developed to fuse surface reflectance data, may not be suitable for direct application in LST studies due to the high sub-diurnal dynamics of LST. Furthermore, the eff…


Attribution of 2022 early-spring heatwave in India and Pakistan to climate change: lessons in assessing vulnerability and preparedness in reducing impacts

Authors: Mariam Zachariah, T. Arulalan, Krishna AchutaRao, Fahad Saeed, Roshan Kumar Jha, Manish Kumar Dhasmana et al.

Journal: Environmental Research Climate · DOI: 10.1088/2752-5295/acf4b6 · Citations: 47

Matched topics: climate change

Abstract In March 2022, large parts over the north Indian plains including the breadbasket region, and southern Pakistan began experiencing prolonged heat, which continued into May. The event was exacerbated due to prevailing dry conditions in the region, resulting in devastating consequences for public health and agriculture. Using event attribution methods, we analyse the role of human-induced climate change in altering the chances of such an event. To capture the extent of the impacts, we …


Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model.

Authors: Md. Galal Uddin, Mir Talas Mahammad Diganta, Abdul Majed Sajib, Azizur Rahman, Stephen Nash, Tomasz Dabrowski et al.

Journal: Environmental Pollution · DOI: 10.1016/j.envpol.2023.122456 · Citations: 44

Matched topics: surface water

The COVID-19 pandemic has significantly impacted various aspects of life, including environmental conditions. Surface water quality (WQ) is one area affected by lockdowns imposed to control the virus’s spread. Numerous recent studies have revealed the considerable impact of COVID-19 lockdowns on surface WQ. In response, this research aimed to assess the impact of COVID-19 lockdowns on surface water quality in Ireland using an advanced WQ model. To achieve this goal, six years of water quality…


Flood Risk Assessment and Extreme Precipitation

Flood risk assessment and extreme precipitation research are well represented this week with 5 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 Projections of Storm Surges Using High‐Resolution CMIP6 Climate Models

Authors: Sanne Muis, Jeroen C. J. H. Aerts, José A. Á. Antolínez, Job Dullaart, Trang Minh Duong, Li Erikson et al.

Journal: Earth s Future · DOI: 10.1029/2023ef003479 · Citations: 67

Matched topics: earth system model

Abstract In the coming decades, coastal flooding will become more frequent due to sea‐level rise and potential changes in storms. To produce global storm surge projections from 1950 to 2050, we force the Global Tide and Surge Model with a ∼25‐km resolution climate model ensemble from the Coupled Model Intercomparison Project Phase 6 High Resolution Model Intercomparison Project (HighResMIP). This is the first time that such a high‐resolution ensemble is used to assess changes in future storm …


A critical review for the application of Cutting-edge Digital Visualisation Technologies for Effective Urban Flood Risk Management

Authors: Vahid Bakhtiari, Farzad Piadeh, K. Behzadian, Z. Kapelan

Journal: Sustainable cities and society · DOI: 10.1016/j.scs.2023.104958 · Citations: 62

Matched topics: flood

Cutting-edge digital visualisation tools (CDVT) are playing an increasingly important role in improving urban flood risk management. However, there is a paucity of comprehensive research examining their role across all stages of urban flood risk management. To address


Strengthening resilience in reconstruction after extreme events – Insights from flood affected communities in Germany

Authors: Joern Birkmann, Holger Schüttrumpf, John Handmer, Annegret H. Thieken, Christian Kuhlicke, Alessa Truedinger et al.

Journal: International Journal of Disaster Risk Reduction · DOI: 10.1016/j.ijdrr.2023.103965 · Citations: 55

Matched topics: flood

Disaster resilience and building back better (BBB) are key concepts in the disaster risk and resilience discourse, however, these concepts often remain vague for many stakeholders involved in recovery. Based on the reconstruction process in Germany after the extreme floods of 2021 with more than 180 deaths, we explore challenges and opportunities to strengthen resilient recovery in one of the world’s wealthiest and most technologically advanced countries. We examine factors that contributed t…


Urban flood risk assessment based on DBSCAN and K-means clustering algorithm

Authors: Jianwei Li, Anna Zheng, Wei Guo, Nairwita Bandyopadhyay, Yanji Zhang, Qianfeng Wang

Journal: Geomatics Natural Hazards and Risk · DOI: 10.1080/19475705.2023.2250527 · Citations: 45

Matched topics: runoff, flood

Urban flood risk assessment plays a crucial role in disaster risk reduction and preparedness. It is essential to mitigate flood risks and establish a comprehensive analysis of factors influencing flood risk, as well as classify risk levels, in order to provide a clear model for risk assessment. This article aims to propose an efficient assessment method that can classify urban flood risk levels and assist cities in flood risk management, particularly in identifying high-risk areas. The study …


Experimental investigation on the effect of interfacial properties of chemical flooding for enhanced heavy oil recovery

Authors: Han Cao, Yiqiang Li, Wenbin Gao, Jinxin Cao, Bingyu Sun, Jin Zhang

Journal: Colloids and Surfaces A Physicochemical and Engineering Aspects · DOI: 10.1016/j.colsurfa.2023.132335 · Citations: 46

Matched topics: flood

Abstract not available.


Machine Learning and AI for Hydrological Prediction

This week’s 10 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 Review of Hybrid Deep Learning Applications for Streamflow Forecasting

Authors: K.W. Ng, Y.F. Huang, C. Koo, K. L. Chong, A. El-shafie, Ali Najah Ahmed

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.130141 · Citations: 150

Matched topics: streamflow

Abstract not available.


Harnessing AI and computing to advance climate modelling and prediction

Authors: Tapio Schneider, Swadhin K. Behera, Giulio Boccaletti, Clara Deser, Kerry Emanuel, Raffaele Ferrari et al.

Journal: Nature Climate Change · DOI: 10.1038/s41558-023-01769-3 · Citations: 81

Matched topics: earth system model

Abstract not available.


Robust Runoff Prediction With Explainable Artificial Intelligence and Meteorological Variables From Deep Learning Ensemble Model

Authors: Junhao Wu, Zhaocai Wang, Jinghan Dong, Xuefei Cui, Sen Tao, Xi Chen

Journal: Water Resources Research · DOI: 10.1029/2023wr035676 · Citations: 67

Matched topics: hydrologic model, runoff

Abstract Accurate runoff forecasting plays a vital role in issuing timely flood warnings. Whereas, previous research has primarily focused on historical runoff and precipitation variability while disregarding other factors’ influence. Additionally, the prediction process of most machine learning models is opaque, resulting in low interpretability of model predictions. Hence, this study develops an ensemble deep learning model to forecast runoff from three hydrological stations. Initially, tim…


Enhancing process-based hydrological models with embedded neural networks: A hybrid approach

Authors: Bu Li, Ting Sun, Fuqiang Tian, Guangheng Ni

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.130107 · Citations: 51

Matched topics: hydrology, hydrologic model, runoff, streamflow

Abstract not available.


Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city

Authors: Huiliang Wang, Shanlun Xu, Hongshi Xu, Zening Wu, Tianye Wang, Chao Ma

Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2023.104898 · Citations: 62

Matched topics: flood

Abstract not available.


Physical Reservoir Computing Based on Nanoscale Materials and Devices

Authors: Zhiying Qi, Linjie Mi, Haoran Qian, Weiguo Zheng, Yao Guo, Yang Chai

Journal: Advanced Functional Materials · DOI: 10.1002/adfm.202306149 · Citations: 55

Matched topics: reservoir

Bioinspired computation systems can achieve artificial intelligence, bypassing fundamental bottlenecks and cost constraints. Computational frameworks suited for temporal/sequential data processing such as recurrent neural networks (RNNs) suffer from problems of high complexity and low efficiency. Physical systems assembled with nanoscale materials and devices represent as an alternative route to serve as the core component for physically implanted reservoir computing. In this review, an overv…


A hybrid physics-informed data-driven neural network for CO2 storage in depleted shale reservoirs

Authors: Yanwei Wang, Zhenxue Dai, Guisheng Wang, Li Chen, Yu-Zhou Xia, Yuhao Zhou

Journal: Petroleum Science · DOI: 10.1016/j.petsci.2023.08.032 · Citations: 51

Matched topics: reservoir

To reduce CO2 emissions in response to global climate change, shale reservoirs could be ideal candidates for long-term carbon geo-sequestration involving multi-scale transport processes. However, most current CO2 sequestration models do not adequately consider multiple transport mechanisms. Moreover, the evaluation of CO2 storage processes usually involves laborious and time-consuming numerical simulations unsuitable for practical prediction and decision-making. In this paper, an integrated m…


Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review

Authors: Shweta Pokhariyal, N. R. Patel, Ajit Govind

Journal: Agronomy · DOI: 10.3390/agronomy13092302 · Citations: 47

Matched topics: water management

In India, agriculture serves as the backbone of the economy, and is a primary source of employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and allied sectors in India exhibited resilience, registered a growth of 3.4% during 2020–2121, even as the overall economic growth declined by 7.2% during the same period. The improvement of the agriculture sector holds paramount importance in sustaining the increasing population and safeguarding food security. Consequently,…


Monitoring groundwater potential dynamics of north-eastern Bengal Basin in Bangladesh using AHP-Machine learning approaches

Authors: Biplob Dey, Kazi Al Muqtadir Abir, Romel Ahmed, Mohammed Abdus Salam, Mohammad Redowan, Md. Danesh Mıah et al.

Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2023.110886 · Citations: 46

Matched topics: land surface model

Groundwater is a vital natural resource that plays a critical role in sustaining agriculture, forest ecosystems, industry, and household uses. However, due to natural and anthropogenic factors, groundwater is facing alarming declines. Therefore, this study aimed to assess the potential groundwater zones (PGWZ) in the north-eastern Bengal Basin of Bangladesh between 1990 and 2021 using satellite images, public and field data pertaining to ten environmental parameters. The study utilized analyt…


Projection of future precipitation change using CMIP6 multimodel ensemble based on fusion of multiple machine learning algorithms: A case in Hanjiang River Basin, China

Authors: Dong Wang, Jiahong Liu, Qinghua Luan, Weiwei Shao, Xiaoran Fu, Hao Wang et al.

Journal: Meteorological Applications · DOI: 10.1002/met.2144 · Citations: 30

Matched topics: hydrology, hydrologic model, river, streamflow

Abstract Projecting precipitation changes is essential for researchers to understand climate change impacts on hydrological cycle. This study projected future precipitation over the Hanjiang River Basin (HRB) based on the multimodel ensemble (ME) of six global climate models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6). An ME method using the fusion of four machine learning (ML) algorithms (random forest [RF], K‐nearest neighbors [KNN], extra tree [ET], and gradient boost…


Hydropower and Renewable Energy-Water Systems

The integration of hydropower with renewable energy systems is addressed by 1 papers this week, focusing on optimal capacity configuration, generation prediction, and climate change adaptation strategies for hybrid energy-water systems. Studies demonstrate the complementary potential of hydro-wind-solar systems and explore machine learning approaches for hydropower generation forecasting.

Techno-economic assessment of integrating hydrogen energy storage technology with hybrid photovoltaic/pumped storage hydropower energy system

Authors: Hadis Alili, Javad Mahmoudimehr

Journal: Energy Conversion and Management · DOI: 10.1016/j.enconman.2023.117437 · Citations: 55

Matched topics: hydropower

Abstract not available.


Water Management, Irrigation, and Groundwater

Water management research this week spans 2 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.

Target and nontarget analysis of per- and polyfluoroalkyl substances in surface water, groundwater and sediments of three typical fluorochemical industrial parks in China

Authors: Dongbao Song, Biting Qiao, Yiming Yao, Leicheng Zhao, Xin Wang, Hao Chen et al.

Journal: Journal of Hazardous Materials · DOI: 10.1016/j.jhazmat.2023.132411 · Citations: 79

Matched topics: surface water

Abstract not available.


Mitigating risks and maximizing sustainability of treated wastewater reuse for irrigation

Authors: D. Yalin, H. Craddock, Shmuel Assouline, Evyatar Ben-Mordechay, A. Ben‐Gal, N. Bernstein et al.

Journal: Water Research X · DOI: 10.1016/j.wroa.2023.100203 · Citations: 60

Matched topics: irrigation

Highlights • Overview of treated wastewater (TWW) irrigation: current challenges & solutions.• Agronomic aspects: salinity & plant nutrients; soil hydraulics & microbiome.• Public health aspects: CEC; pathogens & ARG; chemical and microbial risk assessment.• Potential solutions: source control; treatment processes; agronomic management.• Recommendations for sustainable TWW irrigation including outreach, policy, research.


Hydrological Processes, Snow Dynamics, and Remote Sensing

This theme encompasses 10 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.

Widespread changes in Southern Ocean phytoplankton blooms linked to climate drivers

Authors: Sandy Thomalla, Sarah Nicholson, Thomas Ryan‐Keogh, Marié Smith

Journal: Nature Climate Change · DOI: 10.1038/s41558-023-01768-4 · Citations: 113

Matched topics: climate change, earth system model

Abstract Climate change is expected to elicit widespread alterations to nutrient and light supply, which interact to influence phytoplankton growth and their seasonal cycles. Using 25 years of satellite chlorophyll a data, we show that large regions of the Southern Ocean express significant multi-decadal trends in phenological indices that are typically larger (<50 days decade –1 ) than previously reported in modelling studies (<10 days decade –1 ). Although regionally dependent, there …


The distribution and characterisation of microplastics in air, surface water and sediment within a major river system

Authors: Imogen E. Napper, Anju Baroth, Aaron Barrett, Sunanda Bhola, Gawsia Wahidunnessa Chowdhury, Bede Ffinian Rowe Davies et al.

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.166640 · Citations: 81

Matched topics: river, surface water

. Across all sites and environmental mediums, rayon (synthetically altered cellulose) was the dominant polymer (54-82 %), followed by acrylic (6-23 %) and polyester (9-17 %). Fibres were the dominant shape (95-99 %) and blue was the most common colour (48-79 %). Across water and sediment environmental mediums, the number of microplastics per sample increased from the source of the Ganges to the sea. Additionally, higher population densities correlated with increased microplastic abundance for…


Sustainable lake restoration: From challenges to solutions

Authors: Olga Tammeorg, Ingrid Chorus, Bryan M. Spears, Peeter Nõges, Gertrud K. Nürnberg, Priit Tammeorg et al.

Journal: Wiley Interdisciplinary Reviews Water · DOI: 10.1002/wat2.1689 · Citations: 69

Matched topics: hydrology, water management

Abstract Sustainable management of lakes requires us to overcome ecological, economic, and social challenges. These challenges can be addressed by focusing on achieving ecological improvement within a multifaceted, co‐beneficial context. In‐lake restoration measures may promote more rapid ecosystem responses than is feasible with catchment measures alone, even if multiple interventions are needed. In particular, we identify restoration methods that support the overarching societal target of a…


STING signaling promotes NK cell antitumor immunity and maintains a reservoir of TCF-1+ NK cells.

Authors: Lu Lu, Chao Yang, Xingyue Zhou, Lingling Wu, Xiaochuan Hong, Wenwen Li et al.

Journal: Cell Reports · DOI: 10.1016/j.celrep.2023.113108 · Citations: 56

Matched topics: reservoir

Natural killer (NK) cells are cytotoxic innate lymphocytes that eradicate tumor cells. Inducing durable antitumor immune responses by NK cells represents a major priority of cancer immunotherapy. While cytosolic DNA sensing plays an essential role in initiating antitumor immunity, the role of NK cell-intrinsic STING signaling remains unclear. Here, we find that NK cell-intrinsic STING promotes antitumor responses and maintains a reservoir of TCF-1+ NK cells. In contrast, tumor cell-intrinsic …


Multi-decadal analysis of past winter temperature, precipitation and snow cover data in the European Alps from reanalyses, climate models and observational datasets

Authors: Diego Monteiro, Samuel Morin

Journal: ˜The œcryosphere · DOI: 10.5194/tc-17-3617-2023 · Citations: 57

Matched topics: land surface model

Abstract. Assessing past distributions, variability and trends in the mountain snow cover and its first-order drivers, temperature and precipitation, is key for a wide range of studies and applications. In this study, we compare the results of various modeling systems (global and regional reanalyses ERA5, ERA5-Land, ERA5-Crocus, CERRA-Land, UERRA MESCAN-SURFEX and MTMSI and regional climate model simulations CNRM-ALADIN and CNRM-AROME driven by the global reanalysis ERA-Interim) against obser…


An active HIV reservoir during ART is associated with maintenance of HIV-specific CD8+ T cell magnitude and short-lived differentiation status

Authors: Hiroshi Takata, Julie L. Mitchell, Julián Avila Pacheco, Amélie Pagliuzza, Suteeraporn Pinyakorn, Supranee Buranapraditkun et al.

Journal: Cell Host & Microbe · DOI: 10.1016/j.chom.2023.08.012 · Citations: 54

Matched topics: reservoir

Abstract not available.


The effectiveness of mulching practices on water erosion control: A global meta-analysis

Authors: Dengxing Fan, Guodong Jia, Yangyang Wang, Xinxiao Yu

Journal: Geoderma · DOI: 10.1016/j.geoderma.2023.116643 · Citations: 51

Matched topics: runoff

Mulching is widely recognized as an effective soil and water conservation measure all over the world. Nevertheless, a comprehensive evaluation of mulching’s effectiveness in controlling soil erosion and the influencing factors is still lacking. A global meta-analysis based on 421 runoff and 512 soil loss observations from 90 publications was conducted to evaluate the effectiveness of mulching in reducing runoff and soil loss across a variety of variables (i.e. mulch type, mulch coverage and a…


A modified RUSLE model to simulate soil erosion under different ecological restoration types in the loess hilly area

Authors: Guangyao Gao, Yue Liang, Jianbo Liu, David Dunkerley, Bojie Fu

Journal: International Soil and Water Conservation Research · DOI: 10.1016/j.iswcr.2023.08.007 · Citations: 48

Matched topics: runoff

Soil erosion is mainly affected by the rainfall characteristics and land cover conditions, and soil erosion modelling is important for evaluating land degradation status. The revised Universal Soil Loss Equation (RUSLE) have been widely used to simulate soil loss rate. Previous studies usually considered the general rainfall characteristics and direct effect of runoff with the event rainfall erosivity factor (Re) to produce event soil loss (Ae), whereas the fluctuation of rainfall intensity w…


Local Topography and Streambed Hydraulic Conductivity Influence Riparian Groundwater Age and Groundwater‐Surface Water Connection

Authors: Sara R. Warix, Alexis Navarre‐Sitchler, Andrew H. Manning, Kamini Singha

Journal: Water Resources Research · DOI: 10.1029/2023wr035044 · Citations: 37

Matched topics: hydrology, streamflow, surface water

Abstract The western U.S. is experiencing increasing rain to snow ratios due to climate change, and scientists are uncertain how changing recharge patterns will affect future groundwater‐surface water connection. We examined how watershed topography and streambed hydraulic conductivity impact groundwater age and stream discharge at eight sites along a headwater stream within the Manitou Experimental Forest, CO USA. To do so, we measured: (a) continuous stream and groundwater discharge/level a…


Near full-length HIV sequencing in multiple tissues collected postmortem reveals shared clonal expansions across distinct reservoirs during ART

Authors: Caroline Dufour, María Julia Ruiz, Amélie Pagliuzza, Corentin Richard, Aniqa Shahid, Rémi Fromentin et al.

Journal: Cell Reports · DOI: 10.1016/j.celrep.2023.113053 · Citations: 46

Matched topics: reservoir

HIV persists in tissues during antiretroviral therapy (ART), but the relative contribution of different anatomical compartments to the viral reservoir in humans remains unknown. We performed an extensive characterization of HIV reservoirs in two men who donated their bodies to HIV cure research and who had been on suppressive ART for years. HIV DNA is detected in all tissues, with large variations across anatomical compartments and between participants. Intact HIV genomes represent 2% and 25%…


Statistics

Metric Count
Databases searched 2
Topics searched 16
Total papers fetched 825
After deduplication 629
After LLM relevance filtering 50
Rejected (not relevant) 579

Papers by journal

Journal Papers
Nature Climate Change 5
Journal of Hydrology 2
The Science of The Total Environment 2
Water Resources Research 2
Earth s Future 2
Meteorological Applications 2
Cell Reports 2
Malaria Journal 1
Environmental Science and Technology 1
Science of the Total Environment 1
Nature 1
Journal of Hazardous Materials 1
The Lancet Planetary Health 1
Wiley Interdisciplinary Reviews Water 1
Journal of Environmental Psychology 1
Nature Water 1
Annual Review of Environment and Resources 1
Sustainable cities and society 1
Sustainable Cities and Society 1
Water Research X 1
Atmospheric Research 1
Langmuir 1
Advanced Functional Materials 1
Civil Engineering Journal 1
˜The œcryosphere 1
International Journal of Disaster Risk Reduction 1
Tropical Cyclone Research and Review 1
Energy Conversion and Management 1
Cell Host & Microbe 1
Geoderma 1
Petroleum Science 1
Global Change Biology 1
Geomatics Natural Hazards and Risk 1
International Soil and Water Conservation Research 1
Agronomy 1
Remote Sensing of Environment 1
Environmental Research Climate 1
Colloids and Surfaces A Physicochemical and Engineering Aspects 1
Ecological Indicators 1
Environmental Pollution 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


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