Weekly Literature Review

Week 47 · November 18–November 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 Innovative approaches to sustainable wastewater treatment: a comprehensive explo, with 154 citations. Key research areas include climate change and terrestrial water storage, flood risk assessment and extreme precipitation, machine learning and ai for hydrological prediction.

Executive Summary
Climate Change and Terrestrial Water Storage
Flood Risk Assessment and Extreme Precipitation
Machine Learning and AI for Hydrological Prediction
Water Management, Irrigation, and Groundwater
Hydrological Processes, Snow Dynamics, and Remote Sensing
Statistics
1. Papers by journal
Filtering Criteria

Climate Change and Terrestrial Water Storage

This week features 16 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.

Innovative approaches to sustainable wastewater treatment: a comprehensive exploration of conventional and emerging technologies

Authors: Jaweria Shamshad, Rashid Ur Rehman

Journal: Environmental Science Advances · DOI: 10.1039/d4va00136b · Citations: 154

Matched topics: hydrology

Access to clean water is under threat due to population growth, climate change, and pollution, emphasizing the need for effective wastewater treatment.

X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X

Authors: Jacob A. Nelson, Sophia Walther, Fabian Gans, Basil Kraft, Ulrich Weber, Kimberly A. Novick et al.

Journal: Biogeosciences · DOI: 10.5194/bg-21-5079-2024 · Citations: 86

Matched topics: land surface model, earth system model

Abstract. Mapping in situ eddy covariance measurements of terrestrial land–atmosphere fluxes to the globe is a key method for diagnosing the Earth system from a data-driven perspective. We describe the first global products (called X-BASE) from a newly implemented upscaling framework, FLUXCOM-X, representing an advancement from the previous generation of FLUXCOM products in terms of flexibility and technical capabilities. The X-BASE products are comprised of estimates of CO2 net ecosystem exc…

The relationship between climate change and mental health: a systematic review of the association between eco-anxiety, psychological distress, and symptoms of major affective disorders

Authors: S. Cosh, Rosie Ryan, K. Fallander, Kylie Robinson, Joey Tognela, Phillip J. Tully et al.

Journal: BMC Psychiatry · DOI: 10.1186/s12888-024-06274-1 · Citations: 79

Matched topics: climate change

The adverse impacts of climate change on mental health is a burgeoning area, although findings are inconsistent. The emerging concept of eco-anxiety represents distress in relation to climate change and may be related to mental health. The aim of this study was to explore the relationship between eco-anxiety with validated mental health outcomes, specifically psychological distress and symptoms of major affective disorders. Systematic review. EBSCO, ProQuest, and Web of Science databases were…

Climate Change, Floods, and Human Health

Authors: Yao Wu, Bo Wen, Danijela Gašević, Jonathan A. Patz, Andy Haines, Kristie L Ebi et al.

Journal: New England Journal of Medicine · DOI: 10.1056/nejmsr2402457 · Citations: 39

Matched topics: flood, climate change

Abstract not available.

Drought responses and adaptation in plants differing in life-form

Authors: Mudawi M. Nour, Hanadi Riyad Aljabi, Arwa Abdulkreem AL‐Huqail, Bernd Horneburg, Afrah E. Mohammed, Modhi O. Alotaibi

Journal: Frontiers in Ecology and Evolution · DOI: 10.3389/fevo.2024.1452427 · Citations: 40

Matched topics: drought

Drought is considered one of the most critical abiotic environmental stresses and limits plant growth, development, and productivity. It constitutes a real threat to humanity, especially in dry areas worldwide. Plants manage the negative effects of drought through a complex set of related mechanisms. Knowledge of plant responses and adaptation is more meaningful in plant breeding and genetics for improving drought resistance species. This review will focus on drought response mechanisms and d…

The need for carbon-emissions-driven climate projections in CMIP7

Authors: Benjamin M. Sanderson, Ben Booth, John P. Dunne, Veronika Eyring, Rosie A. Fisher, Pierre Friedlingstein et al.

Journal: Geoscientific model development · DOI: 10.5194/gmd-17-8141-2024 · Citations: 38

Matched topics: earth system model

Abstract. Previous phases of the Coupled Model Intercomparison Project (CMIP) have primarily focused on simulations driven by atmospheric concentrations of greenhouse gases (GHGs), for both idealized model experiments and climate projections of different emissions scenarios. We argue that although this approach was practical to allow parallel development of Earth system model simulations and detailed socioeconomic futures, carbon cycle uncertainty as represented by diverse, process-resolving …

Analyzing Temperature, Precipitation, and River Discharge Trends in Afghanistan’s Main River Basins Using Innovative Trend Analysis, Mann–Kendall, and Sen’s Slope Methods

Authors: Noor Ahmad Akhundzadah

Journal: Climate · DOI: 10.3390/cli12120196 · Citations: 23

Matched topics: hydrology, river, water management, hydropower

Afghanistan, a nation already challenged by geopolitical and environmental pressure, faces severe climate change impacts, evident through rising temperatures, decreasing precipitation, and reduced river discharge. These changes profoundly affect the country’s water resources, agriculture, ecosystems, and well-being. This study analyzes trends in mean annual temperature, precipitation, and river discharge across all five of Afghanistan’s river basins from 1980 to 2022, utilizing an innovative …

Root hair developmental regulators orchestrate drought triggered microbiome changes and the interaction with beneficial Rhizobiaceae

Authors: Zhenghong Wang, Zewen Li, Yujie Zhang, Jingye Liao, Kaixiang Guan, Jingxuan Zhai et al.

Journal: Nature Communications · DOI: 10.1038/s41467-024-54417-5 · Citations: 36

Matched topics: drought

Drought is one of the most serious abiotic stresses, and emerging evidence suggest plant microbiome affects plant drought tolerance. However, there is a lack of genetic evidence regarding whether and how plants orchestrate the dynamic assembly of the microbiome upon drought. By utilizing mutants with enhanced or decreased root hair densities, we find that root hair regulators also affect drought induced root microbiome changes. Rhizobiaceae is a key biomarker taxa affected by root hair relate…

Anthropogenic climate change doubled the frequency of compound drought and heatwaves in low-income regions

Authors: Boen Zhang, Shuo Wang, Louise Slater

Journal: Communications Earth & Environment · DOI: 10.1038/s43247-024-01894-7 · Citations: 31

Matched topics: drought, climate change

Compound drought-heatwaves have garnered widespread attention due to their catastrophic consequences. However, little research has investigated inequalities in exposure to compound drought-heatwaves under climate change. Here, we reveal a significant disparity between low-income and high-income regions in terms of global compound drought-heatwave occurrence using observations and climate models. We find that low-income regions experienced a 377% [351–403%] increase in the frequency of compoun…

Flood Mitigation and Water Resource Preservation: Hydrodynamic and SWMM Simulations of nature-based Solutions under Climate Change

Authors: Maelaynayn El Baida, Mimoun Chourak, Farid Boushaba

Journal: Water Resources Management · DOI: 10.1007/s11269-024-04015-3 · Citations: 24

Matched topics: water management, flood, climate change

Abstract not available.

Climate Change Analysis Using Machine Learning

Authors: Dolly Sharma, Pawan Gupta, Gourav Rawat, Sharad Kumar, Suraj Malik, Nidhi Bansal

Journal: ** · DOI: 10.1109/delcon64804.2024.10866108 · Citations: 24

Matched topics: climate change

More analysis is required day to day due to the frequent changes in the weather. Every second the subject needs accurate analysis. This research paper is suggesting a useful technique for analysis using machine learning classification. Dynamic change occurs frequently in this scenario as the real-time application needs to get the process within the machine for accurate output. Accuracy is also a constraint for the situation. The dataset designed based on the selected location is divided by th…

Assessment of water quality and heavy metal indices in a tropical freshwater river for aquatic life and public health standard

Authors: Md. Ayenuddin Haque, Bithy Khatun, Md. Abu Sayed Jewel, Jesmin Ara, Md. Shahidul Islam Kazal, Jakia Hasan

Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2024.112862 · Citations: 18

Matched topics: river, surface water

• Spatio-temporal variability of WQI, HPI and HEI of the Barnoi River has been assessed. • WQI indicated “undrinkable” condition of the surface water for consumption. • CCME-WQI indicated “fair” condition of the surface water for aquatic life. • HPI and HEI indicated “unsuitable for drinking” and “medium pollution” conditions of the surface water. • Children are more susceptible to both non-carcinogenic and carcinogenic risks by Cr, As and Ni than the adults based on the indices used. We inve…

Local Grammar Approach to Critical Discourse Analysis: A Case Study on the Discursive Representation of Climate Change in the UN News

Authors: Jun Ye, Changpeng Huan, Hang Su

Journal: International Journal of Applied Linguistics · DOI: 10.1111/ijal.12652 · Citations: 22

Matched topics: climate change

ABSTRACT This study explores the applicability of local grammar in critical discourse analysis, which is demonstrated by an investigation into the discursive representation of climate change. Using UN climate change news as the data, the study shows that climate change was typically construed as ‘Problem’, ‘Cause’, ‘Definiendum’ and ‘Effect’, and a close examination of the semantic roles of climate change reveals how the UN conceptualised the changing climate and urged the public to act on cl…

Climate change risk perception in Europe: country-level factors and gender differences

Authors: Selim Jürgen Ergun, Zehra D. Karadeniz, M. Fernanda Rivas

Journal: Humanities and Social Sciences Communications · DOI: 10.1057/s41599-024-03761-4 · Citations: 21

Matched topics: climate change

This study investigates the role of country-level and individual-level factors on climate change risk perception in 28 European countries. Based on the nature of the data and the research question, a multilevel ordered logit model is used. As individual observations are nested among countries, the data is hierarchical, justifying the use of a multilevel model. The analysis focuses on a dependent variable with ordered categories. Due to its inherent ordinal structure, the response levels conve…

Exploring the factors influencing the carbon sink function of coastal wetlands in the Yellow River Delta

Authors: Zhixiong Tang, Wang De, Xinpeng Tian, Xiaoli Bi, Zixiang Zhou, Fubin Luo et al.

Journal: Scientific Reports · DOI: 10.1038/s41598-024-80186-8 · Citations: 20

Matched topics: river

Understanding the mechanisms of the coastal wetland ecosystem carbon sink function is crucial for adapting to, mitigating, and predicting global climate change. Landscape metrics and Carnegie Ames Stanford Approach (CASA) model were used to quantify the spatiotemporal patterns of soil organic carbon (SOC) and vegetation carbon sequestration (VCS) in the Yellow River Delta (YRD). GeoDetector model was used to explore the effects of various factors influencing VCS. The results showed that: (1) …

Understanding the drivers and predictability of record low Antarctic sea ice in austral winter 2023

Authors: Zachary Espinosa, Edward Blanchard‐Wrigglesworth, Cecilia M. Bitz

Journal: Communications Earth & Environment · DOI: 10.1038/s43247-024-01772-2 · Citations: 20

Matched topics: earth system model

Since the start of the satellite record in 1978, the three lowest summertime minima in Antarctic sea ice area all occurred within the last seven years and culminated in record low sea ice in austral winter 2023. During this period sea ice area was over 2 million km2 below climatology, a 5 sigma anomaly and 0.9 million km2 below the previous largest seasonal anomaly. Here we show that a fully-coupled Earth System Model nudged to observed winds reproduces the record low, and that the 2023 trans…

Flood Risk Assessment and Extreme Precipitation

Flood risk assessment and extreme precipitation research are well represented this week with 4 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.

Investigating the influence of nonlinear spatial heterogeneity in urban flooding factors using geographic explainable artificial intelligence

Authors: Entong Ke, Juchao Zhao, Yaolong Zhao

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132398 · Citations: 47

Matched topics: flood

Abstract not available.

Stormwater digital twin with online quality control detects urban flood hazards under uncertainty

Authors: Yeji Kim, Jeil Oh, Matthew Bartos

Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.105982 · Citations: 25

Matched topics: hydrologic model, flood

Abstract not available.

Incorporating dynamic drainage supervision into deep learning for accurate real-time flood simulation in urban areas

Authors: Hancheng Ren, Bo Pang, Gang Zhao, Haijun Yu, Peinan Tian, Chenran Xie

Journal: Water Research · DOI: 10.1016/j.watres.2024.122816 · Citations: 24

Matched topics: flood

Abstract not available.

Urban drainage efficiency evaluation and flood simulation using integrated SWMM and terrain structural analysis

Authors: Xuelian Zhang, Aiqing Kang, Xiaohui Lei, Hao Wang

Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2024.177442 · Citations: 22

Matched topics: flood

Abstract not available.

Machine Learning and AI for Hydrological Prediction

This week’s 11 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.

Artificial intelligence in environmental monitoring: in-depth analysis

Authors: Emran Alotaibi, Nadia Nassif

Journal: Discover Artificial Intelligence · DOI: 10.1007/s44163-024-00198-1 · Citations: 123

Matched topics: water management

Abstract This study provides a comprehensive bibliometric and in-depth analysis of artificial intelligence (AI) and machine learning (ML) applications in environmental monitoring, based on 4762 publications from 1991 to 2024. The research highlights a notable increase in publications and citations since 2010, with China, the United States, and India emerging as leading contributors. Key areas of research include air and water quality monitoring, climate change modeling, biodiversity assessmen…

A global overview of marine heatwaves in a changing climate

Authors: Antonietta Capotondi, Regina R. Rodrigues, Alex Sen Gupta, Jessica A. Benthuysen, Clara Deser, Thomas L. Frölicher et al.

Journal: Communications Earth & Environment · DOI: 10.1038/s43247-024-01806-9 · Citations: 76

Matched topics: climate change, earth system model

Abstract Marine heatwaves have profoundly impacted marine ecosystems over large areas of the world oceans, calling for improved understanding of their dynamics and predictability. Here, we critically review the recent substantial advances in this active area of research, including the exploration of the three-dimensional structure and evolution of these extremes, their drivers, their connection with other extremes in the ocean and over land, future projections, and assessment of their predict…

Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review

Authors: Bryan Nsoh, Abia Katimbo, Hongzhi Guo, Derek M. Heeren, H. N. Nakabuye, Xin Qiao et al.

Journal: Italian National Conference on Sensors · DOI: 10.3390/s24237480 · Citations: 57

Matched topics: irrigation

This systematic review critically evaluates the current state and future potential of real-time, end-to-end smart, and automated irrigation management systems, focusing on integrating the Internet of Things (IoTs) and machine learning technologies for enhanced agricultural water use efficiency and crop productivity. In this review, the automation of each component is examined in the irrigation management pipeline from data collection to application while analyzing its effectiveness, efficienc…

Monitoring water quality parameters in urban rivers using multi-source data and machine learning approach

Authors: Yongchun Liang, Fangyu Ding, Lei Liu, Fang Yin, Mengmeng Hao, Tingting Kang et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132394 · Citations: 52

Matched topics: river

Abstract not available.

Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting

Authors: Puja Das, August Posch, Nathan Barber, M. Hicks, Kate Duffy, Thomas Vandal et al.

Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-024-00834-8 · Citations: 32

Matched topics: hydrologic model, streamflow, hydropower

Precipitation nowcasting, which is critical for flood emergency and river management, has remained challenging for decades, although recent developments in deep generative modeling (DGM) suggest the possibility of improvements. River management centers, such as the Tennessee Valley Authority, have been using Numerical Weather Prediction (NWP) models for nowcasting, but they have been struggling with missed detections even from best-in-class NWP models. While decades of prior research achieved…

Increasing phosphorus loss despite widespread concentration decline in US rivers

Authors: Wei Zhi, Hubert Baniecki, Jiangtao Liu, Elizabeth W. Boyer, Chaopeng Shen, Gary W. Shenk et al.

Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2402028121 · Citations: 21

Matched topics: hydrology, river, streamflow

The loss of phosphorous (P) from the land to aquatic systems has polluted waters and threatened food production worldwide. Systematic trend analysis of P, a nonrenewable resource, has been challenging, primarily due to sparse and inconsistent historical data. Here, we leveraged intensive hydrometeorological data and the recent renaissance of deep learning approaches to fill data gaps and reconstruct temporal trends. We trained a multitask long short-term memory model for total P (TP) using da…

Machine learning models for prediction of nutrient concentrations in surface water in an agricultural watershed.

Authors: Ahmed Elsayed, Sarah Rixon, Jana Levison, Andrew Binns, P. Goel

Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2024.123305 · Citations: 21

Matched topics: surface water

Prediction and quantification of nutrient concentrations in surface water has gained substantial attention during recent decades because excess nutrients released from agricultural and urban watersheds can significantly deteriorate surface water quality. Machine learning (ML) models are considered an effective tool for better understanding and characterization of nutrient release from agricultural fields to surface water. However, to date, no systematic investigations have examined the implem…

Evolution and prospects of Earth system models: Challenges and opportunities

Authors: Xiaoduo Pan, Deliang Chen, Baoxiang Pan, Xiaozhong Huang, Kun Yang, Shilong Piao et al.

Journal: Earth-Science Reviews · DOI: 10.1016/j.earscirev.2024.104986 · Citations: 23

Matched topics: earth system model

Earth system models (ESMs) serve as vital tools for comprehensively simulating the intricate interplay of physical, chemical, and biological processes across the Earth system’s diverse components. Here, we provide a brief overview of the historical development of ESMs and highlight key challenges posed by the intricate feedback mechanisms in the cryosphere, the nonlinear and long-term effects of the lithosphere, and the growing impacts of human activities for modeling Earth system. We then fo…

Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions

Authors: Shujun Wu, Zengchuan Dong, Sandra M. Guzmán, Gregory Conde, Wenzhuo Wang, Shengnan Zhu et al.

Journal: Ecological Informatics · DOI: 10.1016/j.ecoinf.2024.102914 · Citations: 17

Matched topics: hydrologic model, runoff

Runoff is pivotal in water resource management and ecological conservation. Current research predominantly emphasizes enhancing the precision of machine learning-based runoff predictions, with limited focus on their physical interpretability. This study introduces an innovative two-step hybrid runoff prediction framework tailored for the headwater region of the Yellow River Basin (YRB) to improve prediction accuracy and elucidate the runoff modeling process. The framework integrates machine l…

Daily runoff prediction based on lightweight Mamba with partial normalization

Authors: Donghuai Jia, Weide Li, Di Huang, Shukai Chen

Journal: Hydrology research · DOI: 10.2166/nh.2024.063 · Citations: 7

Matched topics: hydrology, hydrologic model, runoff, streamflow

ABSTRACT Runoff prediction serves as the cornerstone for the effective management, allocation, and utilization of water resources, playing a key role in hydrological research. This study employs a newly reported deep learning model, Mamba, to forecast river daily runoff and compared the proposed model with various benchmark methods, including statistical models, machine learning methods, recurrent neural networks, and attention-based models. Application of these models is implemented on three…

Advancing flood susceptibility prediction: A comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high‐risk regions of Pakistan

Authors: Mirza Waleed, Muhammad Sajjad

Journal: Journal of Flood Risk Management · DOI: 10.1111/jfr3.13047 · Citations: 21

Matched topics: flood

Abstract Flood susceptibility mapping (FSM) is crucial for effective flood risk management, particularly in flood‐prone regions like Pakistan. This study addresses the need for accurate and scalable FSM by systematically evaluating the performance of 14 machine learning (ML) models in high‐risk areas of Pakistan. The novelty lies in the comprehensive comparison of these models and the use of explainable artificial intelligence (XAI) techniques. We employed XAI to identify significant conditio…

Water Management, Irrigation, and Groundwater

Water management research this week spans 4 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.

Improved alternate wetting and drying irrigation increases global water productivity

Authors: Yan Bo, Xuhui Wang, K. V. van Groenigen, Bruce A. Linquist, Christoph Müller, Tao Li et al.

Journal: Nature Food · DOI: 10.1038/s43016-024-01081-z · Citations: 53

Matched topics: irrigation

Abstract not available.

Effective management of urban water resources under various climate scenarios in semiarid mediterranean areas

Authors: Ioanna Nydrioti, Ioannis Sebos, Gianna Kitsara, Dionysios Assimacopoulos

Journal: Scientific Reports · DOI: 10.1038/s41598-024-79938-3 · Citations: 40

Matched topics: hydrology, water management

/d). However, simulations for water supply suggest an increase in groundwater recharge in the future, but also the potential for long drought periods during summer months in RCP 4.5 and RCP 8.5 scenarios. The simulation results show both the current situation and the climate scenarios and can be the reference basis for recording the different types of water consumption in urban areas. Therefore, it is possible to control and predict how much of the total consumption is due to the consumer usa…

AquaCrop Plug-in-PSO: A novel irrigation scheduling optimization framework for maize to maximize crop water productivity using in-season weather forecast and crop yield estimation

Authors: Mahdi Gholami Sharafkhane, Ali Naghi Ziaei, Seyed Mohammadreza Naghedifar, Amir Akbari, Amir Haghverdi

Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2024.109153 · Citations: 28

Matched topics: irrigation

Maize is among the most important crops in Iran. Enhancing maize irrigation management is critical for alleviating the pressure on limited freshwater resources in Khorasan Razavi province. The main objective of this study was to develop a novel irrigation scheduling optimization framework (AquaCrop plug-in-PSO) for maize, based on in-season weather forecasts integrated with the AquaCrop plug-in model and the particle swarm optimization (PSO) algorithm. During the growing season, weather forec…

Impact of Irrigation with Contaminated River Water on Growth, Yield, and Heavy Metals Accumulation in Planted Armenian Cucumber (Cucumis melo var. flexuosus (L.) Naudin.)

Authors: Pankaj Kumar, Sadeq K. Alhag, Eman A. Al-Shahari, Maged S. Al‐Fakeh, Sami Abou Fayssal, Rakesh Kumar Bachheti et al.

Journal: Water Air & Soil Pollution · DOI: 10.1007/s11270-024-07642-z · Citations: 18

Matched topics: river, runoff, irrigation

Abstract not available.

Hydrological Processes, Snow Dynamics, and Remote Sensing

This theme encompasses 15 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.

Evaluation of surface water quality in Brahmani River Basin, Odisha (India), for drinking purposes using GIS-based WQIs, multivariate statistical techniques and semi-variogram models

Authors: Abhijeet Das

Journal: Innovative Infrastructure Solutions · DOI: 10.1007/s41062-024-01780-3 · Citations: 43

Matched topics: river, streamflow, land surface model, surface water

Abstract not available.

A functional microbiome catalogue crowdsourced from North American rivers

Authors: Mikayla Borton, Bridget B. McGivern, Kathryn Willi, Ben J. Woodcroft, Annika C. Mosier, D. Singleton et al.

Journal: Nature · DOI: 10.1038/s41586-024-08240-z · Citations: 47

Matched topics: river, streamflow

Abstract not available.

Climate‐Induced Saltwater Intrusion in 2100: Recharge‐Driven Severity, Sea Level‐Driven Prevalence

Authors: Kyra H. Kim, J. T. Reager, Brett Buzzanga, Cédric H. David, Audrey H. Sawyer, B. D. Hamlington

Journal: Geophysical Research Letters · DOI: 10.1029/2024gl110359 · Citations: 35

Matched topics: hydrology, earth system model

Saltwater intrusion is a critical concern for coastal communities due to its impacts on fresh ecosystems and civil infrastructure. Declining recharge and rising sea level are the two dominant drivers of saltwater intrusion along the land-ocean continuum, but there are currently no global estimates of future saltwater intrusion that synthesize these two spatially variable processes. Here, for the first time, we provide a novel assessment of global saltwater intrusion risk by integrating future…

Adaptive assessment of reservoir scheduling to hydrometeorological comprehensive dry and wet condition evolution in a multi-reservoir region of southeastern China

Authors: Hao Chen, Bingjiao Xu, He Qiu, Saihua Huang, Ramesh S. V. Teegavarapu, Yue‐Ping Xu et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132392 · Citations: 24

Matched topics: hydrologic model, runoff, streamflow, reservoir

Abstract not available.

Unravelling the sources of uncertainty in glacier runoff projections in the Patagonian Andes (40–56° S)

Authors: Rodrigo Aguayo, Fabien Maussion, Lilian Schuster, Marius Schaefer, Alexis Caro, Patrick Schmitt et al.

Journal: The cryosphere · DOI: 10.5194/tc-18-5383-2024 · Citations: 20

Matched topics: hydrology, hydrologic model, runoff, streamflow

Abstract. Glaciers are retreating globally and are projected to continue to lose mass in the coming decades, directly affecting downstream ecosystems through changes in glacier runoff. Estimating the future evolution of glacier runoff involves several sources of data uncertainty, which to date have not been comprehensively assessed on a regional scale. In this study, we used the Open Global Glacier Model (OGGM) to estimate the evolution of each glacier (with area > 1 km2) in the Patagonian…

Hardware‐Feasible and Efficient N‐Type Organic Neuromorphic Signal Recognition via Reservoir Computing

Authors: Riping Liu, Yifei He, Xiuyuan Zhu, Jiayao Duan, Chuan Liu, Zhuang Xie et al.

Journal: Advanced Materials · DOI: 10.1002/adma.202409258 · Citations: 37

Matched topics: reservoir

Organic electrochemical synaptic transistors (OESTs), inspired by the biological nervous system, have garnered increasing attention due to their multifunctional applications in neuromorphic computing. However, the practical implementation of OESTs for signal recognition-particularly those utilizing n-type organic mixed ionic-electronic conductors (OMIECs)-still faces significant challenges at the hardware level. Here, a state-of-the-art small-molecule n-type OEST integrated within a physicall…

Climate change and land-use policies exacerbate run-off reduction in a semi-arid inland river basin

Authors: Zhicheng Qu, Shaopu Huang, Haizhu Hu, Dongwei Liu, Hua‐Min Liu, Lixin Wang

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132396 · Citations: 21

Matched topics: river, runoff, water management, climate change

• Runoff changes at multiple time scales. • Warming and drying trend of climate is the primary reason for the decline in runoff. • Policy measures are one of the important factors in affecting runoff. • Human activities mainly affect runoff during the snowmelt and irrigation periods. Semi-arid regions are characterized by scarce water resources and fragile ecosystems, making them highly sensitive to environmental changes. Assessing the impacts of climate change and human activity on hydrologi…

Impacts of agriculture and snow dynamics on catchment water balance in the U.S. and Great Britain

Authors: Masoud Zaerpour, Shadi Hatami, André S. Ballarin, Wouter Knoben, Simon Michael Papalexiou, Alain Pietroniro et al.

Journal: Communications Earth & Environment · DOI: 10.1038/s43247-024-01891-w · Citations: 19

Matched topics: hydrology, streamflow, water management

The Budyko water balance is a fundamental concept in hydrology that links aridity to how precipitation is divided between evapotranspiration and streamflow. While the model is powerful, its ability to explain temporal changes and the influence of human activities and climate change is limited. Here we introduce a causal discovery algorithm to explore deviations from the Budyko water balance, attributing them to human interventions such as agricultural activities and snow dynamics. Our analysi…

A hydrological knowledge-informed LSTM model for monthly streamflow reconstruction using distributed data: Application to typical rivers across the Tibetan plateau

Authors: Shengling Hou, Jiahua Wei, Minglei Hou, Jiaqi Xu, Lu Han

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.132409 · Citations: 14

Matched topics: hydrologic model, river, runoff, streamflow

Abstract not available.

Predictive Performance of Ensemble Learning Boosting Techniques in Daily Streamflow Simulation

Authors: Divya Chandran, N. R. Chithra

Journal: Water Resources Management · DOI: 10.1007/s11269-024-04029-x · Citations: 16

Matched topics: hydrologic model, runoff, streamflow

Abstract not available.

Impact of changes in climate and glacier configurations on runoff from the Langtang River basin, Nepal

Authors: Dhiraj Pradhananga, Suman Manandhar, Bharat Dhungana, Manavi Chaulagain, Bhola Nath Dhakal, Sunil Adhikary

Journal: Proceedings of the International Association of Hydrological Sciences · DOI: 10.5194/piahs-387-9-2024 · Citations: 6

Matched topics: hydrology, hydrologic model, river, runoff, streamflow

Abstract. Climate change is rapidly altering Himalayan glaciers, jeopardizing downstream water resources. This study investigates the impact of changing air temperatures, precipitation, and glacier configurations on streamflow in the Langtang River basin, a vital Himalayan basin. Using a process-based glacio-hydrological model driven by bias-corrected reanalysis data, we simulate streamflow under various scenarios. Results reveal that, while current glacier conditions show increased runoff wi…

Long-term analysis of changes in seasonal and maximum discharges of Slovak rivers in the period 1931–2020

Authors: Veronika Bačová Mitková, Pavla Pekárová, Dana Halmová, Pavol Miklánek, Igor Leščešen

Journal: Journal of Hydrology and Hydromechanics · DOI: 10.2478/johh-2024-0030 · Citations: 6

Matched topics: hydrology, river, runoff, streamflow, seasonal

Abstract Central Europe and other parts of the world have experienced numerous extreme floods and prolonged periods of very low water discharges. With the increasing length and availability of hydrological data time series, it is now possible to analyse a larger volume of data. This paper presents long-term of changes in seasonal and maximum discharges. This paper aims to comprehensively assess the hydrological regime changes of Slovak rivers, using data from 26 gauging stations based on 90 y…

Slope stability and failure dynamics of rainfall-induced landslide: Algorithm and applications

Authors: Jun-Hao Wang, Wenjie Xu

Journal: Computers and Geotechnics · DOI: 10.1016/j.compgeo.2024.106919 · Citations: 18

Matched topics: hydrology, runoff

Abstract not available.

Rapid biphasic decay of intact and defective HIV DNA reservoir during acute treated HIV disease

Authors: Alton Barbehenn, Lei Shi, Junzhe Shao, Rebecca Hoh, Heather Hartig, Vivian Pae et al.

Journal: Nature Communications · DOI: 10.1038/s41467-024-54116-1 · Citations: 22

Matched topics: reservoir

~ 15.4 weeks) that extended out to 1 year. These estimates were ~5-fold faster than prior decay estimates among chronic treated PLWH. Defective DNA had a similar biphasic pattern, but data were more variable. Predicted intact and defective decay rates were faster for PLWH with earlier timing of ART initiation, higher initial CD4 + T cell count, and lower pre-ART viral load. In this study, we advanced our limited understanding of HIV reservoir decay at the time of ART initiation, informing fut…

Learning landscape features from streamflow with autoencoders

Authors: A. Bassi, Marvin Höge, Antonietta Mira, Fabrizio Fenicia, Carlo Albert

Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-28-4971-2024 · Citations: 6

Matched topics: hydrology, hydrologic model, runoff, streamflow

Abstract. Recent successes with machine learning (ML) models in catchment hydrology have highlighted their ability to extract crucial information from catchment properties pertinent to the rainfall–runoff relationship. In this study, we aim to identify a minimal set of catchment signatures in streamflow that, when combined with meteorological drivers, enable an accurate reconstruction of the entire streamflow time series. To achieve this, we utilize an explicit noise-conditional autoencoder (…

Statistics

Metric	Count
Databases searched	2
Topics searched	16
Total papers fetched	810
After deduplication	608
After LLM relevance filtering	50
Rejected (not relevant)	558

Papers by journal

Journal	Papers
Journal of Hydrology	5
Communications Earth & Environment	4
Scientific Reports	2
Nature Communications	2
Water Resources Management	2
Environmental Science Advances	1
Discover Artificial Intelligence	1
Biogeosciences	1
BMC Psychiatry	1
Innovative Infrastructure Solutions	1
Italian National Conference on Sensors	1
Nature Food	1
Nature	1
New England Journal of Medicine	1
npj Climate and Atmospheric Science	1
Frontiers in Ecology and Evolution	1
Geophysical Research Letters	1
Geoscientific model development	1
Climate	1
The cryosphere	1
Advanced Materials	1
Proceedings of the National Academy of Sciences	1
Sustainable Cities and Society	1
Agricultural Water Management	1
Water Air & Soil Pollution	1
Proceedings of the International Association of Hydrological Sciences	1
Journal of Hydrology and Hydromechanics	1
Water Research	1
	1
Journal of Environmental Management	1
Earth-Science Reviews	1
Computers and Geotechnics	1
Ecological Indicators	1
The Science of The Total Environment	1
International Journal of Applied Linguistics	1
Ecological Informatics	1
Hydrology research	1
Journal of Flood Risk Management	1
Humanities and Social Sciences Communications	1
Hydrology and earth system sciences	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

Weekly Literature Review

Executive Summary

Table of Contents

Climate Change and Terrestrial Water Storage

Innovative approaches to sustainable wastewater treatment: a comprehensive exploration of conventional and emerging technologies

X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X

The relationship between climate change and mental health: a systematic review of the association between eco-anxiety, psychological distress, and symptoms of major affective disorders

Climate Change, Floods, and Human Health

Drought responses and adaptation in plants differing in life-form

The need for carbon-emissions-driven climate projections in CMIP7

Analyzing Temperature, Precipitation, and River Discharge Trends in Afghanistan’s Main River Basins Using Innovative Trend Analysis, Mann–Kendall, and Sen’s Slope Methods

Root hair developmental regulators orchestrate drought triggered microbiome changes and the interaction with beneficial Rhizobiaceae

Anthropogenic climate change doubled the frequency of compound drought and heatwaves in low-income regions

Flood Mitigation and Water Resource Preservation: Hydrodynamic and SWMM Simulations of nature-based Solutions under Climate Change

Climate Change Analysis Using Machine Learning

Assessment of water quality and heavy metal indices in a tropical freshwater river for aquatic life and public health standard

Local Grammar Approach to Critical Discourse Analysis: A Case Study on the Discursive Representation of Climate Change in the UN News

Climate change risk perception in Europe: country-level factors and gender differences

Exploring the factors influencing the carbon sink function of coastal wetlands in the Yellow River Delta

Understanding the drivers and predictability of record low Antarctic sea ice in austral winter 2023

Flood Risk Assessment and Extreme Precipitation

Investigating the influence of nonlinear spatial heterogeneity in urban flooding factors using geographic explainable artificial intelligence

Stormwater digital twin with online quality control detects urban flood hazards under uncertainty

Incorporating dynamic drainage supervision into deep learning for accurate real-time flood simulation in urban areas

Urban drainage efficiency evaluation and flood simulation using integrated SWMM and terrain structural analysis

Machine Learning and AI for Hydrological Prediction

Artificial intelligence in environmental monitoring: in-depth analysis

A global overview of marine heatwaves in a changing climate

Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review

Monitoring water quality parameters in urban rivers using multi-source data and machine learning approach

Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting

Increasing phosphorus loss despite widespread concentration decline in US rivers

Machine learning models for prediction of nutrient concentrations in surface water in an agricultural watershed.

Evolution and prospects of Earth system models: Challenges and opportunities

Two-step hybrid model for monthly runoff prediction utilizing integrated machine learning algorithms and dual signal decompositions

Daily runoff prediction based on lightweight Mamba with partial normalization

Advancing flood susceptibility prediction: A comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high‐risk regions of Pakistan

Water Management, Irrigation, and Groundwater

Improved alternate wetting and drying irrigation increases global water productivity

Effective management of urban water resources under various climate scenarios in semiarid mediterranean areas

AquaCrop Plug-in-PSO: A novel irrigation scheduling optimization framework for maize to maximize crop water productivity using in-season weather forecast and crop yield estimation

Impact of Irrigation with Contaminated River Water on Growth, Yield, and Heavy Metals Accumulation in Planted Armenian Cucumber (Cucumis melo var. flexuosus (L.) Naudin.)

Hydrological Processes, Snow Dynamics, and Remote Sensing

Evaluation of surface water quality in Brahmani River Basin, Odisha (India), for drinking purposes using GIS-based WQIs, multivariate statistical techniques and semi-variogram models

A functional microbiome catalogue crowdsourced from North American rivers

Climate‐Induced Saltwater Intrusion in 2100: Recharge‐Driven Severity, Sea Level‐Driven Prevalence

Adaptive assessment of reservoir scheduling to hydrometeorological comprehensive dry and wet condition evolution in a multi-reservoir region of southeastern China

Unravelling the sources of uncertainty in glacier runoff projections in the Patagonian Andes (40–56° S)

Hardware‐Feasible and Efficient N‐Type Organic Neuromorphic Signal Recognition via Reservoir Computing

Climate change and land-use policies exacerbate run-off reduction in a semi-arid inland river basin

Impacts of agriculture and snow dynamics on catchment water balance in the U.S. and Great Britain

A hydrological knowledge-informed LSTM model for monthly streamflow reconstruction using distributed data: Application to typical rivers across the Tibetan plateau

Predictive Performance of Ensemble Learning Boosting Techniques in Daily Streamflow Simulation

Impact of changes in climate and glacier configurations on runoff from the Langtang River basin, Nepal

Long-term analysis of changes in seasonal and maximum discharges of Slovak rivers in the period 1931–2020

Slope stability and failure dynamics of rainfall-induced landslide: Algorithm and applications

Rapid biphasic decay of intact and defective HIV DNA reservoir during acute treated HIV disease

Learning landscape features from streamflow with autoencoders

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