Weekly Literature Review

Week 1 · January 1–January 7, 2024

50 relevant papers found across 6 themes

Executive Summary

This week’s review covers 50 papers across 6 themes. The most cited paper examines Complex plant responses to drought and heat stress under climate change., with 390 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. Complex plant responses to drought and heat stress under climate change.
    2. Dominant role of soil moisture in mediating carbon and water fluxes in dryland ecosystems
    3. Climate change performance of hydrogen production based on life cycle assessment
    4. Institutional investor ESG activism and corporate green innovation against climate change: Exploring differences between digital and non-digital firms
    5. Plant responses to climate change, how global warming may impact on food security: a critical review
    6. How many species will Earth lose to climate change?
    7. Relative increases in CH4 and CO2 emissions from wetlands under global warming dependent on soil carbon substrates
    8. Comprehensive review: Effects of climate change and greenhouse gases emission relevance to environmental stress on horticultural crops and management
    9. A suberized exodermis is required for tomato drought tolerance
    10. Climate change exposure and cost of equity
    11. Investigating the Future Flood and Drought Shifts in the Transboundary Srepok River basin Using CMIP6 Projections
    12. Remotely sensing potential climate change tipping points across scales
    13. Algorithmic green infrastructure optimisation: Review of artificial intelligence driven approaches for tackling climate change
    14. The Drought of Amazonia in 2023-2024
    15. Climate Change Exposure and Bankruptcy Risk
    16. Declining coupling between vegetation and drought over the past three decades
    17. Drought propagation characteristics across China: Time, probability, and threshold
    18. Quantifying the Impact of Human Activities on Hydrological Drought and Drought Propagation in China Using the PCR‐GLOBWB v2.0 Model
    19. Spatiotemporal evolution of agricultural drought and its attribution under different climate zones and vegetation types in the Yellow River Basin of China.
    20. XGBoost-Based Analysis of the Relationship Between Urban 2-D/3-D Morphology and Seasonal Gradient Land Surface Temperature
    21. Projected soil carbon loss with warming in constrained Earth system models
    22. Assessment and prediction of meteorological drought using machine learning algorithms and climate data
    23. Framing resilience in Saudi Arabian cities: On climate change and urban policy
    24. The role of crop simulation modeling in assessing potential climate change impacts
    25. TaWRKY31, a novel WRKY transcription factor in wheat, participates in regulation of plant drought stress tolerance
    26. Temporal and spatial propagation characteristics of meteorological drought to hydrological drought and influencing factors
    27. Drought Atlas of India, 1901–2020
    28. Land management shapes drought responses of dominant soil microbial taxa across grasslands
  3. Flood Risk Assessment and Extreme Precipitation
    1. Floods and firms: vulnerabilities and resilience to natural disasters in Europe
    2. Risk perception and resilience assessment of flood disasters based on social media big data
    3. Experimental investigation of CO2 foam flooding-enhanced oil recovery in fractured low-permeability reservoirs: Core-scale to pore-scale
    4. Assessment of surrogate models for flood inundation: The physics-guided LSG model vs. state-of-the-art machine learning models.
    5. High urban flood risk and no shelter access disproportionally impacts vulnerable communities in the USA
  4. Machine Learning and AI for Hydrological Prediction
    1. Multiple spatio-temporal scale runoff forecasting and driving mechanism exploration by K-means optimized XGBoost and SHAP
    2. Investigating the Role of the Key Conditioning Factors in Flood Susceptibility Mapping Through Machine Learning Approaches
    3. Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning
    4. Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China
    5. A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India
    6. Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates
  5. Hydropower and Renewable Energy-Water Systems
    1. A review of water electrolysis for green hydrogen generation considering PV/wind/hybrid/hydropower/geothermal/tidal and wave/biogas energy systems, economic analysis, and its application
  6. Water Management, Irrigation, and Groundwater
    1. Updated perspective on solar steam generation application
    2. <span>Investigating the Nanotechnology of Electromagnetic Irrigation in the Nano-Agricultural System</span>
    3. Characterization of heavy metal, antibiotic pollution, and their resistance genes in paddy with secondary municipal-treated wastewater irrigation.
  7. Hydrological Processes, Snow Dynamics, and Remote Sensing
    1. Footprint characteristics revised for field-scale soil moisture monitoring with cosmic-ray neutrons
    2. Water quality management in aquaculture
    3. Application of geographical detector and geographically weighted regression for assessing landscape ecological risk in the Irtysh River Basin, Central Asia
    4. A differential game of water pollution management in the trans-jurisdictional river basin
    5. Quantifying the 2022 extreme drought in the Yangtze River Basin using GRACE-FO
    6. Hydrological Projections under CMIP5 and CMIP6: Sources and Magnitudes of Uncertainty
    7. A framework for parameter estimation, sensitivity analysis, and uncertainty analysis for holistic hydrologic modeling using SWAT+
  8. Statistics
    1. Papers by journal
  9. Filtering Criteria

Climate Change and Terrestrial Water Storage

This week features 28 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.

Complex plant responses to drought and heat stress under climate change.

Authors: H. Sato, J. Mizoi, Kazuo Shinozaki, K. Yamaguchi-Shinozaki

Journal: The Plant Journal · DOI: 10.1111/tpj.16612 · Citations: 390

Matched topics: drought, climate change

Global climate change is predicted to result in increased yield losses of agricultural crops caused by environmental conditions. In particular, heat and drought stress are major factors that negatively affect plant development and reproduction, and previous studies have revealed how these stresses induce plant responses at physiological and molecular levels. Here, we provide a comprehensive overview of current knowledge concerning how drought, heat, and combinations of these stress conditions…


Dominant role of soil moisture in mediating carbon and water fluxes in dryland ecosystems

Authors: Steven A. Kannenberg, William R. L. Anderegg, Mallory L. Barnes, Matthew P. Dannenberg, Alan K. Knapp

Journal: Nature Geoscience · DOI: 10.1038/s41561-023-01351-8 · Citations: 191

Matched topics: land surface model

Abstract not available.


Climate change performance of hydrogen production based on life cycle assessment

Authors: Gulam Husain Patel, Jouni Havukainen, Mika Horttanainen, Risto Soukka, Mari Tuomaala

Journal: Green Chemistry · DOI: 10.1039/d3gc02410e · Citations: 132

Matched topics: climate change

Green H 2 production reduces emissions by 80–95% compared to grey H 2 thus meeting the REDII directive. However, blue and turquoise H 2 fall short of meeting this criterion without CO 2 sequestration.


Institutional investor ESG activism and corporate green innovation against climate change: Exploring differences between digital and non-digital firms

Authors: Chenfei Jin, Abel Monfort, Feng Chen, Neng Xia, Bao Wu

Journal: Technological Forecasting and Social Change · DOI: 10.1016/j.techfore.2023.123129 · Citations: 128

Matched topics: climate change

Abstract not available.


Plant responses to climate change, how global warming may impact on food security: a critical review

Authors: M. Janni, E. Maestri, M. Gullì, M. Marmiroli, N. Marmiroli

Journal: Frontiers in Plant Science · DOI: 10.3389/fpls.2023.1297569 · Citations: 110

Matched topics: climate change

Global agricultural production must double by 2050 to meet the demands of an increasing world human population but this challenge is further exacerbated by climate change. Environmental stress, heat, and drought are key drivers in food security and strongly impacts on crop productivity. Moreover, global warming is threatening the survival of many species including those which we rely on for food production, forcing migration of cultivation areas with further impoverishing of the environment a…


How many species will Earth lose to climate change?

Authors: John J. Wiens, Joseph Zelinka

Journal: Global Change Biology · DOI: 10.1111/gcb.17125 · Citations: 109

Matched topics: climate change

Climate change may be an important threat to global biodiversity, potentially leading to the extinction of numerous species. But how many? There have been various attempts to answer this question, sometimes yielding strikingly different estimates. Here, we review these estimates, assess their disagreements and methodology, and explore how we might reach better estimates. Large-scale studies have estimated the extinction of ~1% of sampled species up to ~70%, even when using the same approach (…


Relative increases in CH4 and CO2 emissions from wetlands under global warming dependent on soil carbon substrates

Authors: Han Hu, Ji Chen, Feng Zhou, Ming Nie, Deyi Hou, Huan Liu et al.

Journal: Nature Geoscience · DOI: 10.1038/s41561-023-01345-6 · Citations: 101

Matched topics: hydrologic model

Abstract not available.


Comprehensive review: Effects of climate change and greenhouse gases emission relevance to environmental stress on horticultural crops and management

Authors: Iftikhar Hussain Shah, Muhammad Aamir Manzoor, Jinhui Wu, Xuyang Li, Muhammad Khalid Hameed, Asad Rehaman et al.

Journal: Journal of Environmental Management · DOI: 10.1016/j.jenvman.2023.119978 · Citations: 101

Matched topics: climate change

Abstract not available.


A suberized exodermis is required for tomato drought tolerance

Authors: Alex Cantó‐Pastor, Kaisa Kajala, Lidor Shaar‐Moshe, Concepción Manzano, Prakash Raj Timilsena, Damien De Bellis et al.

Journal: Nature Plants · DOI: 10.1038/s41477-023-01567-x · Citations: 98

Matched topics: drought

Plant roots integrate environmental signals with development using exquisite spatiotemporal control. This is apparent in the deposition of suberin, an apoplastic diffusion barrier, which regulates flow of water, solutes and gases, and is environmentally plastic. Suberin is considered a hallmark of endodermal differentiation but is absent in the tomato endodermis. Instead, suberin is present in the exodermis, a cell type that is absent in the model organism Arabidopsis thaliana. Here we demons…


Climate change exposure and cost of equity

Authors: Oğuzhan Çepni, Ahmet Şensoy, Muhammed Hasan Yılmaz

Journal: Energy Economics · DOI: 10.1016/j.eneco.2023.107288 · Citations: 94

Matched topics: climate change

Abstract not available.


Investigating the Future Flood and Drought Shifts in the Transboundary Srepok River basin Using CMIP6 Projections

Authors: Thanh‐Nhan‐Duc Tran, Son K., Binh Quang Nguyen, Vinh Ngoc Tran, Maria Grodzka-Łukaszewska, Grzegorz Sinicyn et al.

Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · DOI: 10.1109/jstars.2024.3380514 · Citations: 73

Matched topics: hydrologic model, river, streamflow, flood, drought

Quantifying the intensity and frequency of climatic extremes under the impacts of climate change is crucial for effective water resource management. In this study, we utilize the Soil and Water Assessment Tool (SWAT) hydrological model, robust indices, e.g., Standardized Precipitation Index (SPI) and Standardized Streamflow Index (SSI) as well as the Interquartile Range (IQR) method for a comprehensive analysis of the river flow response to future climate scenarios towards 2090. Four General …


Remotely sensing potential climate change tipping points across scales

Authors: Timothy M. Lenton, Jesse F. Abrams, Annett Bartsch, Sebastian Bathiany, Chris A. Boulton, Joshua Buxton et al.

Journal: Nature Communications · DOI: 10.1038/s41467-023-44609-w · Citations: 82

Matched topics: climate change, earth system model

Potential climate tipping points pose a growing risk for societies, and policy is calling for improved anticipation of them. Satellite remote sensing can play a unique role in identifying and anticipating tipping phenomena across scales. Where satellite records are too short for temporal early warning of tipping points, complementary spatial indicators can leverage the exceptional spatial-temporal coverage of remotely sensed data to detect changing resilience of vulnerable systems. Combining …


Algorithmic green infrastructure optimisation: Review of artificial intelligence driven approaches for tackling climate change

Authors: Abdulrazzaq Shaamala, Tan Yiğitcanlar, Alireza Nili, Dan Nyandega

Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.105182 · Citations: 83

Matched topics: climate change

Green infrastructure (GI) is a fundamental building block of our cities. It contributes to the sustainability and vitality of cities by offering various benefits such as greening, cooling, water, air quality, and managing carbon emissions. GI plays an essential role in enhancing overall well-being. The utilisation of artificial intelligence (AI) technologies for GI optimisation is perceived as a powerful approach for cities. A knowledge gap, nevertheless, remains in research on AI-driven GI o…


The Drought of Amazonia in 2023-2024

Authors: José Marengo, Ana Paula Martins do Amaral Cunha, Jhan Carlo Espinoza, Rong Fu, Jochen Schöngart, Juan C. Jiménez‐Muñoz et al.

Journal: American Journal of Climate Change · DOI: 10.4236/ajcc.2024.133026 · Citations: 81

Matched topics: drought

The Amazon basin has experienced an extreme drought that started in the austral summer of 2022-23 and extends into 2024. This drought started earlier than other previous droughts. Although some rain fell during the austral summer, totals remained below average. Higher temperatures during austral winter and spring 2023, which affected most of Central South America, then aggravated drought conditions. This coincided with an intense El Niño and abnormally warm tropical North Atlantic Ocean tempe…


Climate Change Exposure and Bankruptcy Risk

Authors: Fan Feng, Liyan Han, Jiayu Jin, Youwei Li

Journal: British Journal of Management · DOI: 10.1111/1467-8551.12792 · Citations: 78

Matched topics: climate change

Abstract This research documents that a firm’s bankruptcy risk increases with its climate change exposure. This study further investigates the underlying mechanisms and finds that this effect is stronger for firms with lower operating cash flows or tighter financial constraints. Consistent with the agency theory of debt, the evidence suggests that improving the protection of creditor rights can mitigate the adverse impact of climate change. In addition, two distinct sets of quasi‐natural expe…


Declining coupling between vegetation and drought over the past three decades

Authors: Delong Li, Li An, Shuai Zhong, Lei Shen, Shuyao Wu

Journal: Global Change Biology · DOI: 10.1111/gcb.17141 · Citations: 70

Matched topics: drought

Droughts have been implicated as the main driver behind recent vegetation die‐off and are projected to drive greater mortality under future climate change. Understanding the coupling relationship between vegetation and drought has been of great global interest. Currently, the coupling relationship between vegetation and drought is mainly evaluated by correlation coefficients or regression slopes. However, the optimal drought timescale of vegetation response to drought, as a key indicator refl…


Drought propagation characteristics across China: Time, probability, and threshold

Authors: G. Geng, Bao Zhang, Qian Gu, Zuxin He, Ruolin Zheng

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.130805 · Citations: 71

Matched topics: drought

Abstract not available.


Quantifying the Impact of Human Activities on Hydrological Drought and Drought Propagation in China Using the PCR‐GLOBWB v2.0 Model

Authors: Xiaoli Yang, Fan Wu, Shanshui Yuan, Liliang Ren, Justin Sheffield, Xiuqin Fang et al.

Journal: Water Resources Research · DOI: 10.1029/2023wr035443 · Citations: 65

Matched topics: hydrologic model, drought

Abstract The economic and human losses caused by drought are increasing, driven by climate change, human activities, and increased exposure of livelihood activities in water‐dependent sectors. Mitigation of these impacts for socio‐ecological securit is necessary to gain a better understanding of how human activities contribute to the propagation of drought as water management further develops. The previous studies investigated the impact of human activities on a macro level, but they overlook…


Spatiotemporal evolution of agricultural drought and its attribution under different climate zones and vegetation types in the Yellow River Basin of China.

Authors: Yujie Ding, Lifeng Zhang, Yi He, Shengpeng Cao, Xiao Wei, Yan Guo et al.

Journal: Science of the Total Environment · DOI: 10.1016/j.scitotenv.2023.169687 · Citations: 62

Matched topics: river, drought

Ecological protection and high-quality development of the Yellow River Basin (YRB) are major national strategies in China. Agricultural drought (AD) is one of the most important stress factors of the ecological security of the YRB. Currently, there is a lack of exploration of the spatiotemporal evolution of AD in the YRB under different climatic zones and vegetation types, and the mechanisms by the driving factors influence AD remain unclear. The Temperature Vegetation Dryness Index (TVDI) fo…


XGBoost-Based Analysis of the Relationship Between Urban 2-D/3-D Morphology and Seasonal Gradient Land Surface Temperature

Authors: Xinyue Ma, Jun Yang, Rui Zhang, Wenbo Yu, Jiayi Ren, Xiangming Xiao et al.

Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · DOI: 10.1109/jstars.2023.3348476 · Citations: 61

Matched topics: seasonal, land surface model

The escalation of greenhouse gas emissions has led to a continuous rise in land surface temperature (LST). Studies have highlighted the substantial influence of urban morphology on LST; however, the impact of different dimensional indicators and their gradient effects remain unexplored. Selecting the urban area of Shenyang as a case, we chose various indicators representing different dimensions. By employing XGBoost for regression analysis, we aimed to explore the effects of urban 2D and 3D m…


Projected soil carbon loss with warming in constrained Earth system models

Authors: Shuai Ren, Tao Wang, Bertrand Guenet, Dan Liu, Yingfang Cao, Jinzhi Ding et al.

Journal: Nature Communications · DOI: 10.1038/s41467-023-44433-2 · Citations: 63

Matched topics: earth system model

The soil carbon-climate feedback is currently the least constrained component of global warming projections, and the major source of uncertainties stems from a poor understanding of soil carbon turnover processes. Here, we assemble data from long-term temperature-controlled soil incubation studies to show that the arctic and boreal region has the shortest intrinsic soil carbon turnover time while tropical forests have the longest one, and current Earth system models overestimate intrinsic tur…


Assessment and prediction of meteorological drought using machine learning algorithms and climate data

Authors: Khalid En-Nagre, Mourad Aqnouy, Ayoub Ouarka, Syed Ali Asad Naqvi, Ismail Bouizrou, Jamal Eddine Stitou El Messari et al.

Journal: Climate Risk Management · DOI: 10.1016/j.crm.2024.100630 · Citations: 61

Matched topics: drought

Monitoring drought in semi-arid regions due to climate change is of paramount importance. This study, conducted in Morocco’s Upper Drâa Basin (UDB), analyzed data spanning from 1980 to 2019, focusing on the calculation of drought indices, specifically the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) at multiple timescales (1, 3, 9, 12 months). Trends were assessed using statistical methods such as the Mann-Kendall test and the Sen’s…


Framing resilience in Saudi Arabian cities: On climate change and urban policy

Authors: Abdulaziz I. Almulhim, Patrick Brandful Cobbinah

Journal: Sustainable Cities and Society · DOI: 10.1016/j.scs.2024.105172 · Citations: 61

Matched topics: climate change

Abstract not available.


The role of crop simulation modeling in assessing potential climate change impacts

Authors: Dennis Timlin, Kirsten Paff, Eunjin Han

Journal: Agrosystems Geosciences & Environment · DOI: 10.1002/agg2.20453 · Citations: 61

Matched topics: climate change

Abstract Agriculture is weather dependent, and changes in climate can have a drastic impact on our ability to feed, fuel, and clothe the world’s population. Climate change is causing more frequent and unprecedented extreme weather events that are already negatively affecting agriculture. We need to assess the effects of extreme temperatures and rainfall on agriculture. Patterns of short‐term extreme weather events, such as elevated temperatures, flooding, and strong winds, are not predictable…


TaWRKY31, a novel WRKY transcription factor in wheat, participates in regulation of plant drought stress tolerance

Authors: Miaomiao Ge, Yan Tang, Yi-jun Guan, Meicheng Lv, Chunjv Zhou, Huiling Ma et al.

Journal: BMC Plant Biology · DOI: 10.1186/s12870-023-04709-7 · Citations: 60

Matched topics: drought

BACKGROUND: Wheat, a crucial food crop in China, is highly vulnerable to drought stress throughout its growth and development. WRKY transcription factors (TFs), being one of the largest families of TFs, play a vital role in responding to various abiotic stresses in plants. RESULTS: and MDA, as well as reduced stomatal opening and water loss. Furthermore, an increase in resistance oxidase activity, germination rate, and root length in the TaWRKY31 transgenic Arabidopsis was observed. Lastly, o…


Temporal and spatial propagation characteristics of meteorological drought to hydrological drought and influencing factors

Authors: Zhenwei Wang, Jianxia Chang, Yimin Wang, Yinke Yang, Yi Guo, Guibin Yang et al.

Journal: Atmospheric Research · DOI: 10.1016/j.atmosres.2023.107212 · Citations: 54

Matched topics: streamflow, drought

Abstract not available.


Drought Atlas of India, 1901–2020

Authors: Dipesh Singh Chuphal, A. Kushwaha, Saran Aadhar, V. Mishra

Journal: Scientific Data · DOI: 10.1038/s41597-023-02856-y · Citations: 55

Matched topics: drought

India has been considerably affected by droughts in the recent past. Despite the considerable impacts of droughts on agriculture and water resources, long-term datasets to examine droughts and their consequences at appropriate spatial and temporal scales have been lacking in India. Datasets that provide drought information are mostly available for a short period and at coarser resolutions, therefore, these do not comprehend the information regarding the major droughts that occurred in the dis…


Land management shapes drought responses of dominant soil microbial taxa across grasslands

Authors: Jocelyn M. Lavallee, Mathilde Chomel, Nil Álvarez, Francisco de Castro, Tim Goodall, Matthew Magilton et al.

Journal: Nature Communications · DOI: 10.1038/s41467-023-43864-1 · Citations: 57

Matched topics: drought

Soil microbial communities are dominated by a relatively small number of taxa that may play outsized roles in ecosystem functioning, yet little is known about their capacities to resist and recover from climate extremes such as drought, or how environmental context mediates those responses. Here, we imposed an in situ experimental drought across 30 diverse UK grassland sites with contrasting management intensities and found that: (1) the majority of dominant bacterial (85%) and fungal (89%) t…


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.

Floods and firms: vulnerabilities and resilience to natural disasters in Europe

Authors: Serena Fatica, Gabor Katay, Michela Rancan

Journal: SSRN Electronic Journal · DOI: 10.2139/ssrn.4796097 · Citations: 74

Matched topics: flood

Abstract not available.


Risk perception and resilience assessment of flood disasters based on social media big data

Authors: Hongxing Li, Yuhang Han, Xin Wang, Zekun Li

Journal: International Journal of Disaster Risk Reduction · DOI: 10.1016/j.ijdrr.2024.104249 · Citations: 71

Matched topics: flood

Abstract not available.


Experimental investigation of CO2 foam flooding-enhanced oil recovery in fractured low-permeability reservoirs: Core-scale to pore-scale

Authors: Di Zhu, Binfei Li, Longkun Chen, Chuan-Bao Zhang, Lei Zheng, Weiqing Chen et al.

Journal: Fuel · DOI: 10.1016/j.fuel.2023.130792 · Citations: 53

Matched topics: reservoir, flood

Abstract not available.


Assessment of surrogate models for flood inundation: The physics-guided LSG model vs. state-of-the-art machine learning models.

Authors: Niels Fraehr, Quan J. Wang, Wenyan Wu, R. Nathan

Journal: Water Research · DOI: 10.1016/j.watres.2024.121202 · Citations: 57

Matched topics: flood

Hydrodynamic models can accurately simulate flood inundation but are limited by their high computational demand that scales non-linearly with model complexity, resolution, and domain size. Therefore, it is often not feasible to use high-resolution hydrodynamic models for real-time flood predictions or when a large number of predictions are needed for probabilistic flood design. Computationally efficient surrogate models have been developed to address this issue. The recently developed Low-fid…


High urban flood risk and no shelter access disproportionally impacts vulnerable communities in the USA

Authors: Alireza Ermagun, Virginia Smith, Fatemeh Janatabadi

Journal: Communications Earth & Environment · DOI: 10.1038/s43247-023-01165-x · Citations: 54

Matched topics: flood

Vulnerable communities are disproportionately placed in low-lying, flood-prone neighborhoods, with deficient infrastructure and limited access to shelter. Here we present a methodology to study the risk of urban floods in tandem with access to shelter to reduce the risk of flooding to communities and prevent a natural hazard from turning into a human disaster. We integrate access to national emergency shelters into a national risk index for riverine floods in eight U.S. cities at the block gr…


Machine Learning and AI for Hydrological Prediction

This week’s 6 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.

Multiple spatio-temporal scale runoff forecasting and driving mechanism exploration by K-means optimized XGBoost and SHAP

Authors: Shuo Wang, Hui Peng

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.130650 · Citations: 93

Matched topics: runoff

Abstract not available.


Investigating the Role of the Key Conditioning Factors in Flood Susceptibility Mapping Through Machine Learning Approaches

Authors: Khalifa M. Al‐Kindi, Zahra Alabri

Journal: Earth Systems and Environment · DOI: 10.1007/s41748-023-00369-7 · Citations: 77

Matched topics: hydrologic model, flood

Abstract This study harnessed the formidable predictive capabilities of three state-of-the-art machine learning models—extreme gradient boosting (XGB), random forest (RF), and CatBoost (CB)—applying them to meticulously curated datasets of topographical, geological, and environmental parameters; the goal was to investigate the intricacies of flood susceptibility within the arid riverbeds of Wilayat As-Suwayq, which is situated in the Sultanate of Oman. The results underscored the exceptional …


Improving River Routing Using a Differentiable Muskingum‐Cunge Model and Physics‐Informed Machine Learning

Authors: Tadd Bindas, Wen‐Ping Tsai, Jiangtao Liu, Farshid Rahmani, Dapeng Feng, Yuchen Bian et al.

Journal: Water Resources Research · DOI: 10.1029/2023wr035337 · Citations: 64

Matched topics: hydrologic model, river, runoff

Abstract Recently, rainfall‐runoff simulations in small headwater basins have been improved by methodological advances such as deep neural networks (NNs) and hybrid physics‐NN models—particularly, a genre called differentiable modeling that intermingles NNs with physics to learn relationships between variables. However, hydrologic routing simulations, necessary for simulating floods in stem rivers downstream of large heterogeneous basins, had not yet benefited from these advances and it was u…


Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China

Authors: Lanbing Yu, Yang Wang, Biswajeet Pradhan

Journal: Geoscience Frontiers · DOI: 10.1016/j.gsf.2024.101802 · Citations: 67

Matched topics: reservoir

Abstract not available.


A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India

Authors: Nagalapalli Satish, Jagadeesh Anmala, K. Rajitha, Murari R. R. Varma

Journal: Ecological Informatics · DOI: 10.1016/j.ecoinf.2024.102500 · Citations: 65

Matched topics: river

Abstract not available.


Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates

Authors: Ziyu Jia, Zhenhao Zhang, Yunxiang Cheng, Buhebaoyin, Shinchilelt Borjigin, Zhijia Quan

Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2024.111554 · Citations: 62

Matched topics: climate change

Aboveground biomass (AGB) is a key index that reflects grassland health and is of great importance for grassland conservation and sustainable utilization. Many previous studies on grassland AGB were based on the analysis of the whole study period, can’t reflect the change of grassland in the short term, which was not conducive to the implementation and revision of policies. And it is still a challenge to accurately describe the response of grassland AGB to climate factors. In this study, we u…


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.

A review of water electrolysis for green hydrogen generation considering PV/wind/hybrid/hydropower/geothermal/tidal and wave/biogas energy systems, economic analysis, and its application

Authors: Mohamed Awad, A. Said, M. H. Saad, Amr Farouk, Mohamed Metwally Mahmoud, Meshari S. Alshammari et al.

Journal: Alexandria Engineering Journal · DOI: 10.1016/j.aej.2023.12.032 · Citations: 165

Matched topics: hydropower

Abstract not available.


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.

Updated perspective on solar steam generation application

Authors: Casey Onggowarsito, Shudi Mao, Xin Zhang, An Feng, Haolan Xu, Qiang Fu

Journal: Energy & Environmental Science · DOI: 10.1039/d3ee04073a · Citations: 190

Matched topics: water management

This perspective highlights the challenges and opportunities in interfacial evaporation, heat and water management, materials synthesis, and device development for solar steam generation.


<span>Investigating the Nanotechnology of Electromagnetic Irrigation in the Nano-Agricultural System</span>

Authors: Afshin Rashid

Journal: SSRN Electronic Journal · DOI: 10.2139/ssrn.4968171 · Citations: 97

Matched topics: irrigation

Abstract not available.


Characterization of heavy metal, antibiotic pollution, and their resistance genes in paddy with secondary municipal-treated wastewater irrigation.

Authors: Qing Yan, Zheng Zhong, Xiaoyan Li, Zhaoyun Cao, Xiaolong Zheng, Guozhong Feng

Journal: Water Research · DOI: 10.1016/j.watres.2024.121208 · Citations: 70

Matched topics: irrigation

Secondary municipal-treated wastewater irrigation may introduce residual antibiotics into the agricultural systems contaminated with certain heavy metals, ultimately leading to the coexistence of antibiotics and heavy metals. The coexistence may induce synergistic resistance to both in the microbial community. Here, we investigated the effects of long-term municipal-treated irrigation for rice on the microbiome and resistome. The results showed that the target antibiotics were undetectable in…


Hydrological Processes, Snow Dynamics, and Remote Sensing

This theme encompasses 7 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.

Footprint characteristics revised for field-scale soil moisture monitoring with cosmic-ray neutrons

Authors: Markus Köhli, Martin Schrön, Marek Zreda, Ulrich Schmidt, Peter Dietrich, Steffen Zacharias

Journal: heiDOK (Heidelberg University) · DOI: 10.11588/heidok.00034407 · Citations: 294

Matched topics: hydrologic model

Cosmic-ray neutron probes are widely used to monitor environmental water content near the surface. The method averages over tens of hectares and is unrivaled in serving representative data for agriculture and hydrological models at the hectometer scale. Recent experiments, however, indicate that the sensor response to environmental heterogeneity is not fully understood. Knowledge of the support volume is a prerequisite for the proper interpretation and validation of hydrogeophysical data. In …


Water quality management in aquaculture

Authors: Fatimah Md. Yusoff, Wahidah Ahmad Dini Umi, Norulhuda Mohamed Ramli, Razif Harun

Journal: Cambridge Prisms Water · DOI: 10.1017/wat.2024.6 · Citations: 100

Matched topics: water management

Abstract The aquaculture industry requires good water quality for its successful operation but produces wastes that can cause environmental deterioration and pose high risks to the sector. Adequate waste treatment and recycling are necessary to make aquaculture a sustainable and profitable industry and contribute to the circular economy. Polluted water sources, excess feeding, overstocking, use of antibiotics/chemicals and harmful algal blooms are major causes of water quality deterioration a…


Application of geographical detector and geographically weighted regression for assessing landscape ecological risk in the Irtysh River Basin, Central Asia

Authors: Mingrui Li, J. Abuduwaili, Wen Liu, Sen Feng, G. Saparov, Long Ma

Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2023.111540 · Citations: 93

Matched topics: river

The exponential growth of human activities has resulted in a substantial increase in land use practices that not only modify the characteristics of landscape patterns but also pose significant landscape ecological risk (LER), with the latter being pivotal for ecosystem conservation and sustainable social development. However, research on LER and driving factors of Irtysh River Basin (IRB) are limited. Objectively assessing the LER of the high latitudes within Central Asia (Irtysh River Basin)…


A differential game of water pollution management in the trans-jurisdictional river basin

Authors: Liang Yuan, Yuzhi Qi, Weijun He, Xia Wu, Yang Kong, T. Ramsey et al.

Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2024.140823 · Citations: 73

Matched topics: river, water management

Abstract not available.


Quantifying the 2022 extreme drought in the Yangtze River Basin using GRACE-FO

Authors: Ao Duan, Yulong Zhong, Guodong Xu, Kaijun Yang, Baoming Tian, Yunlong Wu et al.

Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2024.130680 · Citations: 76

Matched topics: river

Abstract not available.


Hydrological Projections under CMIP5 and CMIP6: Sources and Magnitudes of Uncertainty

Authors: Yi Wu, Chiyuan Miao, Louise Slater, Xuewei Fan, Yuanfang Chai, Soroosh Sorooshian

Journal: Bulletin of the American Meteorological Society · DOI: 10.1175/bams-d-23-0104.1 · Citations: 66

Matched topics: hydrologic model

Abstract Projections of future hydrological conditions rely largely on global climate models, but model performance varies greatly. In this study, we investigated projected changes in runoff ( R ), precipitation ( P ), evapotranspiration (ET), and soil moisture (SM) based on the fifth and sixth phases of the Coupled Model Intercomparison Project (CMIP5 and CMIP6) and quantified the uncertainties of their projected changes on annual and seasonal scales. The results indicate that all four hydro…


A framework for parameter estimation, sensitivity analysis, and uncertainty analysis for holistic hydrologic modeling using SWAT+

Authors: S. Abbas, R. Bailey, J. White, J. Arnold, M. White, Natalja Čerkasova et al.

Journal: Hydrology and Earth System Sciences · DOI: 10.5194/hess-28-21-2024 · Citations: 58

Matched topics: hydrologic model, streamflow

Abstract. Parameter sensitivity analysis plays a critical role in efficiently determining main parameters, enhancing the effectiveness of the estimation of parameters and uncertainty quantification in hydrologic modeling. In this paper, we demonstrate an uncertainty and sensitivity analysis technique for the holistic Soil and Water Assessment Tool (SWAT+) model coupled with new gwflow module, spatially distributed, physically based groundwater flow modeling. The main calculated groundwater in…


Statistics

Metric Count
Databases searched 2
Topics searched 16
Total papers fetched 1043
After deduplication 895
After LLM relevance filtering 50
Rejected (not relevant) 845

Papers by journal

Journal Papers
Journal of Hydrology 3
Nature Communications 3
Nature Geoscience 2
Global Change Biology 2
SSRN Electronic Journal 2
Ecological Indicators 2
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2
Sustainable Cities and Society 2
Water Resources Research 2
Water Research 2
The Plant Journal 1
heiDOK (Heidelberg University) 1
Energy & Environmental Science 1
Alexandria Engineering Journal 1
Green Chemistry 1
Technological Forecasting and Social Change 1
Frontiers in Plant Science 1
Journal of Environmental Management 1
Cambridge Prisms Water 1
Nature Plants 1
Energy Economics 1
Earth Systems and Environment 1
American Journal of Climate Change 1
Journal of Cleaner Production 1
British Journal of Management 1
International Journal of Disaster Risk Reduction 1
Geoscience Frontiers 1
Science of the Total Environment 1
Bulletin of the American Meteorological Society 1
Hydrology and Earth System Sciences 1
Ecological Informatics 1
Climate Risk Management 1
Agrosystems Geosciences & Environment 1
BMC Plant Biology 1
Atmospheric Research 1
Scientific Data 1
Fuel 1
Communications Earth & Environment 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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