Weekly Literature Review
Week 32 · August 3–August 9, 2020
50 relevant papers found across 6 themes
Executive Summary
This week’s review covers 50 papers across Flood Modeling and Risk Assessment, Drought Analysis and Prediction, Streamflow Forecasting and Machine Learning, Climate Change and Water Resources, Hydrologic Modeling and Calibration, and Water Management and Sustainability.
Table of Contents
- Executive Summary
- Flood Modeling and Risk Assessment
- Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery
- How does increasing impervious surfaces affect urban flooding in response to climate variability?
- Urban pluvial flooding prediction by machine learning approaches – a case study of Shenzhen city, China
- When floods hit the road: Resilience to flood-related traffic disruption in the San Francisco Bay Area and beyond
- Comparative analysis of Multi-Criteria Decision-Making methods for flood disaster risk in the Yangtze River Delta
- Drought Analysis and Prediction
- Increased future occurrences of the exceptional 2018–2019 Central European drought under global warming
- Global snow drought hot spots and characteristics
- Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting
- Root trait responses to drought are more heterogeneous than leaf trait responses
- Seed priming with gibberellic acid and melatonin in rapeseed: Consequences for improving yield and seed quality under drought and non-stress conditions
- Combined high leaf hydraulic safety and efficiency provides drought tolerance in Caragana species adapted to low mean annual precipitation
- Mapping the sensitivity of agriculture to drought and estimating the effect of irrigation in the United States, 1950–2016
- Composition and activity of nitrifier communities in soil are unresponsive to elevated temperature and CO2, but strongly affected by drought
- Streamflow Forecasting and Machine Learning
- Climate Change and Water Resources
- Climate change impacts on soil salinity in agricultural areas
- Impacts of climate change on energy systems in global and regional scenarios
- Water scarcity in the Yellow River Basin under future climate change and human activities
- On the increased climate sensitivity in the EC-Earth model from CMIP5 to CMIP6
- Intermodel Spread in the Pattern Effect and Its Contribution to Climate Sensitivity in CMIP5 and CMIP6 Models
- Learning about climate change in, with and through art
- Catalytic conversions of CO2 to help mitigate climate change: Recent process developments
- Mapping the effect of climate change on community livelihood vulnerability in the riparian region of Gangatic Plain, India
- Climate change adaptation and inequality in Africa: Case of water, energy and food insecurity
- Hydrologic Modeling and Calibration
- A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I—Model Description
- HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR – description, model computational performance and basic validation
- Prediction of irrigation water quality parameters using machine learning models in a semi-arid environment
- Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach
- Productivity analysis of fractured wells in reservoir of hydrogen and carbon based on dual-porosity medium model
- Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting
- Water Management and Sustainability
- Blind spots in global soil biodiversity and ecosystem function research
- Water-energy-ecosystem nexus: Balancing competing interests at a run-of-river hydropower plant coupling a hydrologic–ecohydraulic approach
- Hydrovoltaic Energy on the Way
- A global map of terrestrial habitat types
- Renewable hydrogen production: A techno-economic comparison of photoelectrochemical cells and photovoltaic-electrolysis
- Surfactants-based remediation as an effective approach for removal of environmental pollutants—A review
- Photoperiod and temperature as dominant environmental drivers triggering secondary growth resumption in Northern Hemisphere conifers
- The Evolution of the Continental Crust and the Onset of Plate Tectonics
- A holistic assessment of water quality condition and spatiotemporal patterns in impounded lakes along the eastern route of China’s South-to-North water diversion project
- Novel leakage detection and water loss management of urban water supply network using multiscale neural networks
- Revisiting the global hydrological cycle: is it intensifying?
- Policy-Relevant Assessment of Urban CO2 Emissions
- Iran’s Agriculture in the Anthropocene
- Carbon budget of the Harvard Forest Long‐Term Ecological Research site: pattern, process, and response to global change
- Determination of agricultural land suitability with a multiple-criteria decision-making method in Northwestern Turkey
- Feasibility evaluation of a hybrid renewable power generation system for sustainable electricity supply in a Moroccan remote site
- Rising Temperature May Trigger Deep Soil Carbon Loss Across Forest Ecosystems
- A Regional Neural Network Approach to Estimate Water-Column Nutrient Concentrations and Carbonate System Variables in the Mediterranean Sea: CANYON-MED
- Understanding the uncertainty in global forest carbon turnover
- Vegetation Detection Using Deep Learning and Conventional Methods
- Statistics
- Filtering Criteria
Flood Modeling and Risk Assessment
This week features 5 papers advancing flood science, spanning susceptibility mapping, risk assessment, and hydrodynamic modeling. Notable contributions from Nemni, Sohn et al. The studies collectively advance both data-driven and physically-based approaches to flood prediction and management.
Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery
Authors: Edoardo Nemni, Joseph Aylett-Bullock, S. Belabbes, Lars Bromley
Journal: Remote Sensing · DOI: 10.3390/rs12162532 · Citations: 199
Matched topics: flood, land surface model, earth system model
Rapid response to natural hazards, such as floods, is essential to mitigate loss of life and the reduction of suffering. For emergency response teams, access to timely and accurate data is essential. Satellite imagery offers a rich source of information which can be analysed to help determine regions affected by a disaster. Much remote sensing flood analysis is semi-automated, with time consuming manual components requiring hours to complete. In this study, we present a fully automated approa…
How does increasing impervious surfaces affect urban flooding in response to climate variability?
Authors: Wonmin Sohn, Jun–Hyun Kim, Ming‐Han Li, Robert D. Brown, Fouad Jaber
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2020.106774 · Citations: 145
Matched topics: hydrology, hydrologic model, runoff, streamflow, flood
Total impervious area (TIA) is one of the most common measures for predicting runoff yield in hydrologic studies and regulating urbanization in land use policy. Directly connected impervious area (DCIA), a subset of TIA, represents the hydraulic connection between development and underground sewer systems. Which indicator to use in runoff prediction has been subject to debate. The effectiveness of TIA and DCIA in the face of climate variability also remains unclear. The present study empirica…
Urban pluvial flooding prediction by machine learning approaches – a case study of Shenzhen city, China
Authors: Qian Ke, Xin Tian, Jeremy D. Bricker, Zhan Tian, Guanghua Guan, Huayang Cai et al.
Journal: Advances in Water Resources · DOI: 10.1016/j.advwatres.2020.103719 · Citations: 134
Matched topics: hydrologic model, flood
Urban pluvial flooding is a threatening natural hazard in urban areas all over the world, especially in recent years given its increasing frequency of occurrence. In order to prevent flood occurrence and mitigate the subsequent aftermath, urban water managers aim to predict precipitation characteristics, including peak intensity, arrival time and duration, so that they can further warn inhabitants in risky areas and take emergency actions when forecasting a pluvial flood. Previous studies tha…
When floods hit the road: Resilience to flood-related traffic disruption in the San Francisco Bay Area and beyond
Authors: Indraneel Kasmalkar, Katherine A. Serafin, Yufei Miao, I. Avery Bick, Leonard Ortolano, Derek Ouyang et al.
Journal: Science Advances · DOI: 10.1126/sciadv.aba2423 · Citations: 129
Matched topics: flood
As sea level rises, urban traffic networks in low-lying coastal areas face increasing risks of flood disruptions. Closure of flooded roads causes employee absences and delays, creating cascading impacts to communities. We integrate a traffic model with flood maps that represent potential combinations of storm surges, tides, seasonal cycles, interannual anomalies driven by large-scale climate variability such as the El Niño Southern Oscillation, and sea level rise. When identifying inundated r…
Comparative analysis of Multi-Criteria Decision-Making methods for flood disaster risk in the Yangtze River Delta
Authors: Ruiling Sun, Zaiwu Gong, Ge Gao, Ashfaq Ahmad Shah
Journal: International Journal of Disaster Risk Reduction · DOI: 10.1016/j.ijdrr.2020.101768 · Citations: 115
Matched topics: river, flood
Abstract not available.
Drought Analysis and Prediction
Drought research this week encompasses 8 studies covering monitoring, prediction, and impact assessment. Key work by Hari, Huning et al. highlights advances in drought characterization across multiple spatial and temporal scales.
Increased future occurrences of the exceptional 2018–2019 Central European drought under global warming
Authors: Vittal Hari, Oldřich Rakovec, Yannis Markonis, Martin Hanel, Rohini Kumar
Journal: Scientific Reports · DOI: 10.1038/s41598-020-68872-9 · Citations: 482
Matched topics: hydrologic model, runoff, drought, land surface model, earth system model
Since the spring 2018, a large part of Europe has been in the midst of a record-setting drought. Using long-term observations, we demonstrate that the occurrence of the 2018-2019 (consecutive) summer drought is unprecedented in the last 250 years, and its combined impact on the growing season vegetation activities is stronger compared to the 2003 European drought. Using a suite of climate model simulation outputs, we underpin the role of anthropogenic warming on exacerbating the future risk o…
Global snow drought hot spots and characteristics
Authors: Laurie S. Huning, Amir AghaKouchak
Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.1915921117 · Citations: 255
Matched topics: drought, hydropower
Snow plays a fundamental role in global water resources, climate, and biogeochemical processes; however, no global snow drought assessments currently exist. Changes in the duration and intensity of droughts can significantly impact ecosystems, food and water security, agriculture, hydropower, and the socioeconomics of a region. We characterize the duration and intensity of snow droughts (snow water equivalent deficits) worldwide and differences in their distributions over 1980 to 2018. We fin…
Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting
Authors: Md. Munir Hayet Khan, Nur Shazwani Muhammad, Ahmed El‐Shafie
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2020.125380 · Citations: 216
Matched topics: hydrology, hydrologic model, drought
Abstract not available.
Root trait responses to drought are more heterogeneous than leaf trait responses
Authors: Yudi M. Lozano, Carlos A. Aguilar‐Trigueros, Isabel C. Flaig, Matthias C. Rillig
Journal: Functional Ecology · DOI: 10.1111/1365-2435.13656 · Citations: 160
Matched topics: drought
Abstract Drought can strongly modify plant diversity and ecosystem processes. As droughts are expected to intensify in the future, it is important to better understand plant responses to this global driver. Root traits are an overlooked but powerful predictor of plant responses to drought because they are in direct contact with the soil environment and are responsible for taking up nutrients and water. Here, we determine which root traits are sensitive to drought and the magnitude of that res…
Seed priming with gibberellic acid and melatonin in rapeseed: Consequences for improving yield and seed quality under drought and non-stress conditions
Authors: Mohammad Nauman Khan, Zaid Khan, Tao Luo, Jiahuan Liu, Muhammad Rizwan, Jing Zhang et al.
Journal: Industrial Crops and Products · DOI: 10.1016/j.indcrop.2020.112850 · Citations: 131
Matched topics: drought
Abstract not available.
Combined high leaf hydraulic safety and efficiency provides drought tolerance in Caragana species adapted to low mean annual precipitation
Authors: Guang‐Qian Yao, Zheng‐Fei Nie, Neil C. Turner, Feng‐Min Li, Tianpeng Gao, Xiang‐Wen Fang et al.
Journal: New Phytologist · DOI: 10.1111/nph.16845 · Citations: 120
Matched topics: drought
provides drought tolerance in Caragana species adapted to low-MAP environments.
Mapping the sensitivity of agriculture to drought and estimating the effect of irrigation in the United States, 1950–2016
Authors: Junyu Lu, Gregory J. Carbone, Xiao Huang, Kirsten Lackstrom, Peng Gao
Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2020.108124 · Citations: 94
Matched topics: drought, irrigation
Abstract not available.
Composition and activity of nitrifier communities in soil are unresponsive to elevated temperature and CO2, but strongly affected by drought
Authors: Joana Séneca, Petra Pjevac, Alberto Canarini, Craig W. Herbold, Christos Zioutis, Marlies Dietrich et al.
Journal: The ISME Journal · DOI: 10.1038/s41396-020-00735-7 · Citations: 93
Matched topics: drought
have only minor effects on nitrifier communities and soil biogeochemical variables in managed grasslands, whereas drought favors AOB and increases nitrification rates. This highlights the overriding importance of drought as a global change driver impacting on soil microbial community structure and its consequences for N cycling.
Streamflow Forecasting and Machine Learning
Machine learning and data-driven approaches to streamflow prediction feature prominently with 2 papers. The studies demonstrate continued innovation in hybrid modeling frameworks, signal decomposition techniques, and ensemble methods for improved hydrological forecasting.
Long lead-time daily and monthly streamflow forecasting using machine learning methods
Authors: Meiling Cheng, F. Fang, Tsuyoshi Kinouchi, I. M. Navon, Christopher C. Pain
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2020.125376 · Citations: 288
Matched topics: runoff, streamflow, water management
Abstract not available.
Global Changes in Baseflow Under the Impacts of Changing Climate and Vegetation
Authors: Xuejin Tan, Xuejin Tan, Bingjun Liu, Xuezhi Tan, Xuezhi Tan
Journal: Water Resources Research · DOI: 10.1029/2020wr027349 · Citations: 99
Matched topics: streamflow, water management, climate change
Abstract Understanding the impacts of climate change and human activities on hydrological processes, especially the baseflow, is vital for sustainable water resource management. We analyzed the global changes in baseflow and baseflow index (BFI) for 2,374 global streamflow stations from 1970 to 2016 to examine their associations with precipitation, temperature, terrestrial water storage (TWS), normalized difference vegetation index (NDVI) representing the vegetation regimes, potential evapotr…
Climate Change and Water Resources
Climate-water interactions are explored in 9 papers this week, addressing impacts on the cryosphere, water cycle components, and regional water resources under changing conditions.
Climate change impacts on soil salinity in agricultural areas
Authors: D. Corwin
Journal: European Journal of Soil Science · DOI: 10.1111/ejss.13010 · Citations: 560
Matched topics: climate change
Changes in climate patterns are dramatically influencing some agricultural areas. Arid, semi‐arid and coastal agricultural areas are especially vulnerable to climate change impacts on soil salinity. Inventorying and monitoring climate change impacts on salinity are crucial to evaluate the extent of the problem, to recognize trends and to formulate irrigation and crop management strategies that will maintain the agricultural productivity of these areas. Over the past three decades, Corwin and …
Impacts of climate change on energy systems in global and regional scenarios
Authors: Seleshi Yalew, Michelle T. H. van Vliet, David Gernaat, Fulco Ludwig, Ariel Miara, Chan Park et al.
Journal: Nature Energy · DOI: 10.1038/s41560-020-0664-z · Citations: 464
Matched topics: hydrologic model, runoff, streamflow, land surface model, climate change, hydropower
Abstract not available.
Water scarcity in the Yellow River Basin under future climate change and human activities
Authors: Abubaker Omer, Nadir Ahmed Elagib, Zhuguo Ma, Farhan Saleem, Alnail Mohammed
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2020.141446 · Citations: 187
Matched topics: hydrologic model, river, streamflow, water management, climate change
Abstract not available.
On the increased climate sensitivity in the EC-Earth model from CMIP5 to CMIP6
Authors: Klaus Wyser, Twan van Noije, Shuting Yang, Jost von Hardenberg, Declan O’Donnell, Ralf Döscher
Journal: Geoscientific model development · DOI: 10.5194/gmd-13-3465-2020 · Citations: 171
Matched topics: land surface model, earth system model
Abstract. Many modelling groups that contribute to CMIP6 (Coupled Model Intercomparison Project Phase 6) have found a larger equilibrium climate sensitivity (ECS) with their latest model versions compared with the values obtained with the earlier versions used in CMIP5. This is also the case for the EC-Earth model. Therefore, in this study, we investigate what developments since the CMIP5 era could have caused the increase in the ECS in this model. Apart from increases in the horizontal and v…
Intermodel Spread in the Pattern Effect and Its Contribution to Climate Sensitivity in CMIP5 and CMIP6 Models
Authors: Yue Dong, Kyle C. Armour, Mark D. Zelinka, Cristian Proistosescu, David S. Battisti, Chen Zhou et al.
Journal: Journal of Climate · DOI: 10.1175/jcli-d-19-1011.1 · Citations: 170
Matched topics: land surface model, earth system model
Abstract Radiative feedbacks depend on the spatial patterns of sea surface temperature (SST) and thus can change over time as SST patterns evolve—the so-called pattern effect. This study investigates intermodel differences in the magnitude of the pattern effect and how these differences contribute to the spread in effective equilibrium climate sensitivity (ECS) within CMIP5 and CMIP6 models. Effective ECS in CMIP5 estimated from 150-yr-long abrupt4×CO2 simulations is on average 10% higher tha…
Learning about climate change in, with and through art
Authors: Julia Bentz
Journal: Climatic Change · DOI: 10.1007/s10584-020-02804-4 · Citations: 127
Matched topics: climate change
Abstract Effective strategies to learn about and engage with climate change play an important role in addressing this challenge. There is a growing recognition that education needs to change in order to address climate change, yet the question remains “how?” How does one engage young people with a topic that is perceived as abstract, distant, and complex, and which at the same time is contributing to growing feelings of sadness, hopelessness, and anxiety among them? In this paper, I argue tha…
Catalytic conversions of CO2 to help mitigate climate change: Recent process developments
Authors: Maryam Takht Ravanchi, Saeed Sahebdelfar
Journal: Process Safety and Environmental Protection · DOI: 10.1016/j.psep.2020.08.003 · Citations: 121
Matched topics: climate change
Abstract not available.
Mapping the effect of climate change on community livelihood vulnerability in the riparian region of Gangatic Plain, India
Authors: Manob Das, Arijit Das, Sahil Momin, Rajiv Pandey
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2020.106815 · Citations: 111
Matched topics: climate change
Indian Gangatic Plain is food basket of the country and vulnerable to variety of factors. The western region of the Gangatic plain is worst affected due to river bank erosion, frequent floods and climate change. The objective of the present study is to evaluate the livelihood vulnerability of the communities of riparian region of Manikchak block of the Gangatic plain by classifying the region into three zones based on the distance from the river. Livelihood Vulnerability Index (LVI) was appli…
Climate change adaptation and inequality in Africa: Case of water, energy and food insecurity
Authors: Linus Nyiwul
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2020.123393 · Citations: 107
Matched topics: climate change
Abstract not available.
Hydrologic Modeling and Calibration
Hydrologic model development and evaluation features 6 papers covering precipitation estimation, model calibration, rainfall-runoff processes, and large-scale simulation advances.
A Lagrangian Snow‐Evolution System for Sea‐Ice Applications (SnowModel‐LG): Part I—Model Description
Authors: Glen E. Liston, Polona Itkin, Julienne Strœve, Mark Tschudi, J. Scott Stewart, Stine Højlund Pedersen et al.
Journal: Journal of Geophysical Research Oceans · DOI: 10.1029/2019jc015913 · Citations: 199
Matched topics: hydrology, land surface model, earth system model
A Lagrangian snow-evolution model (SnowModel-LG) was used to produce daily, pan-Arctic, snow-on-sea-ice, snow property distributions on a 25 × 25-km grid, from 1 August 1980 through 31 July 2018 (38 years). The model was forced with NASA’s Modern Era Retrospective-Analysis for Research and Applications-Version 2 (MERRA-2) and European Centre for Medium-Range Weather Forecasts (ECMWF) ReAnalysis-5th Generation (ERA5) atmospheric reanalyses, and National Snow and Ice Data Center (NSIDC) sea ice…
HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR – description, model computational performance and basic validation
Authors: Rein Haarsma, Mario Acosta, Rena Bakhshi, Pierre-Antoine Bretonnière, Louis‐Philippe Caron, Miguel Castrillo et al.
Journal: Geoscientific model development · DOI: 10.5194/gmd-13-3507-2020 · Citations: 184
Matched topics: hydrology, land surface model, earth system model
Abstract. A new global high-resolution coupled climate model, EC-Earth3P-HR has been developed by the EC-Earth consortium, with a resolution of approximately 40 km for the atmosphere and 0.25∘ for the ocean, alongside with a standard-resolution version of the model, EC-Earth3P (80 km atmosphere, 1.0∘ ocean). The model forcing and simulations follow the High Resolution Model Intercomparison Project (HighResMIP) protocol. According to this protocol, all simulations are made with both high and s…
Prediction of irrigation water quality parameters using machine learning models in a semi-arid environment
Authors: Ali El Bilali, Abdeslam Taleb
Journal: Journal of the Saudi Society of Agricultural Sciences · DOI: 10.1016/j.jssas.2020.08.001 · Citations: 152
Matched topics: water management, irrigation
Evaluation of the water suitability for irrigation purposes using conventional approaches is generally expensive because it requires several parameters, particularly in developing countries. Therefore, developing accurate and reliable models may be valuable to overcome this issue in the management of the water used in agriculture. To achieve this purpose, 8 Machine Learning (ML) models namely: Artificial Neural Network (ANN), Multiple Linear Regression (MLR), Decision Tree, Random Forest (RF)…
Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach
Authors: Prasanth Valayamkunnath, Michael Barlage, Fei Chen, David Gochis, Kristie J. Franz
Journal: Scientific Data · DOI: 10.1038/s41597-020-00596-x · Citations: 132
Matched topics: hydrology, hydrologic model, streamflow, water management, land surface model, surface water, earth system model
Tile drainage is one of the dominant agricultural management practices in the United States and has greatly expanded since the late 1990s. It has proven effects on land surface water balance and quantity and quality of streamflow at the local scale. The effect of tile drainage on crop production, hydrology, and the environment on a regional scale is elusive due to lack of high-resolution, spatially-explicit tile drainage area information for the Contiguous United States (CONUS). We developed …
Productivity analysis of fractured wells in reservoir of hydrogen and carbon based on dual-porosity medium model
Authors: Yi Xue, Teng Teng, F. Dang, Zongyuan Ma, Songhe Wang, Haibin Xue
Journal: Unknown · DOI: 10.1016/j.ijhydene.2019.11.146 · Citations: 122
Matched topics: reservoir
Abstract Hydrogen is usually locked in energy-rich organic compounds and there is almost no pure hydrogen in nature. Organic compounds produced in reservoirs of hydrogen and carbon are an important source of hydrogen production. Understanding the productivity characteristics reservoirs of hydrogen and carbon is the important step to ensure adequate hydrogen energy. This study analyzes the production of hydraulically fractured organic reservoir of hydrogen and carbon. First, based on the diffu…
Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting
Authors: Peyman Abbaszadeh, Keyhan Gavahi, Hamid Moradkhani
Journal: Advances in Water Resources · DOI: 10.1016/j.advwatres.2020.103721 · Citations: 95
Matched topics: hydrologic model, streamflow
Abstract not available.
Water Management and Sustainability
Water management research spans 20 papers addressing topics from irrigation optimization and reservoir operations to water resource assessment and sustainability frameworks.
Blind spots in global soil biodiversity and ecosystem function research
Authors: Carlos A. Guerra, Anna Heintz‐Buschart, Johannes Sikorski, Antonis Chatzinotas, Nathaly R. Guerrero‐Ramírez, Simone Cesarz et al.
Journal: Nature Communications · DOI: 10.1038/s41467-020-17688-2 · Citations: 380
Matched topics: land surface model, earth system model
Soils harbor a substantial fraction of the world’s biodiversity, contributing to many crucial ecosystem functions. It is thus essential to identify general macroecological patterns related to the distribution and functioning of soil organisms to support their conservation and consideration by governance. These macroecological analyses need to represent the diversity of environmental conditions that can be found worldwide. Here we identify and characterize existing environmental gaps in soil t…
Water-energy-ecosystem nexus: Balancing competing interests at a run-of-river hydropower plant coupling a hydrologic–ecohydraulic approach
Authors: Alban Kuriqi, António N. Pinheiro, Álvaro Sordo‐Ward, Luís Garrote
Journal: Energy Conversion and Management · DOI: 10.1016/j.enconman.2020.113267 · Citations: 299
Matched topics: hydrologic model, river, hydropower
Abstract not available.
Hydrovoltaic Energy on the Way
Authors: Jun Yin, Jianxin Zhou, Sunmiao Fang, Wanlin Guo
Journal: Joule · DOI: 10.1016/j.joule.2020.07.015 · Citations: 244
Matched topics: surface water, earth system model
Abstract not available.
A global map of terrestrial habitat types
Authors: Martin Jung, Prabhat Raj Dahal, Stuart H. M. Butchart, Paul F. Donald, Xavier De Lamo, Myroslava Lesiv et al.
Journal: Scientific Data · DOI: 10.1038/s41597-020-00599-8 · Citations: 226
Matched topics: land surface model, earth system model
We provide a global, spatially explicit characterization of 47 terrestrial habitat types, as defined in the International Union for Conservation of Nature (IUCN) habitat classification scheme, which is widely used in ecological analyses, including for quantifying species’ Area of Habitat. We produced this novel habitat map for the year 2015 by creating a global decision tree that intersects the best currently available global data on land cover, climate and land use. We independently validate…
Renewable hydrogen production: A techno-economic comparison of photoelectrochemical cells and photovoltaic-electrolysis
Authors: Alexa Grimm, Wouter A. de Jong, Gert Jan Kramer
Journal: International Journal of Hydrogen Energy · DOI: 10.1016/j.ijhydene.2020.06.092 · Citations: 226
Matched topics: land surface model, earth system model
The present paper reports a techno-economic analysis of two solar assisted hydrogen production technologies: a photoelectrochemical (PEC) system and its major competitor, a photovoltaic system connected to a conventional water electrolyzer (PV-E system). A comparison between these two types was performed to identify the more promising technology based on the levelized cost of hydrogen (LCOH). The technical evaluation was carried out by considering proven designs and materials for the PV-E sys…
Surfactants-based remediation as an effective approach for removal of environmental pollutants—A review
Authors: Tahir Rasheed, Sameera Shafi, Muhammad Bilal, Tariq Hussain, Farooq Sher, Komal Rızwan
Journal: Journal of Molecular Liquids · DOI: 10.1016/j.molliq.2020.113960 · Citations: 209
Matched topics: water management, land surface model
Abstract not available.
Photoperiod and temperature as dominant environmental drivers triggering secondary growth resumption in Northern Hemisphere conifers
Authors: Jian‐Guo Huang, Qianqian Ma, Sergio Rossi, Franco Biondi, Annie Deslauriers, Patrick Fonti et al.
Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2007058117 · Citations: 203
Matched topics: earth system model
emissions per year and plays a critical role in long-term sequestration of carbon on Earth. However, the exogenous factors driving wood formation onset and the underlying cellular mechanisms are still poorly understood and quantified, and this hampers an effective assessment of terrestrial forest productivity and carbon budget under global warming. Here, we used an extensive collection of unique datasets of weekly xylem tissue formation (wood formation) from 21 coniferous species across the N…
The Evolution of the Continental Crust and the Onset of Plate Tectonics
Authors: C. J. Hawkesworth, Peter A. Cawood, Bruno Dhuime
Journal: Frontiers in Earth Science · DOI: 10.3389/feart.2020.00326 · Citations: 188
Matched topics: land surface model, earth system model
The Earth is the only known planet where plate tectonics is active, and different studies have concluded that plate tectonics commenced at times from the early Hadean to 700 Ma. Many arguments rely on proxies established on recent examples, such as paired metamorphic belts and magma geochemistry, and it can be difficult to establish the significance of such proxies in a hotter, older Earth. There is the question of scale, and how the results of different case studies are put in a wider global…
A holistic assessment of water quality condition and spatiotemporal patterns in impounded lakes along the eastern route of China’s South-to-North water diversion project
Authors: Xiao Qu, Yushun Chen, Han Liu, Wentong Xia, Ying Lü, Daniel Dianchen Gang et al.
Journal: Water Research · DOI: 10.1016/j.watres.2020.116275 · Citations: 186
Matched topics: water management
Abstract not available.
Novel leakage detection and water loss management of urban water supply network using multiscale neural networks
Authors: Xuan Hu, Yongming Han, Bin Yu, Zhiqiang Geng, Jinzhen Fan
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2020.123611 · Citations: 163
Matched topics: water management
Abstract not available.
Revisiting the global hydrological cycle: is it intensifying?
Authors: Demetris Koutsoyiannis
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-24-3899-2020 · Citations: 162
Matched topics: hydrology, streamflow, water management, land surface model, earth system model
Abstract. As a result of technological advances in monitoring atmosphere, hydrosphere, cryosphere and biosphere, as well as in data management and processing, several databases have become freely available. These can be exploited in revisiting the global hydrological cycle with the aim, on the one hand, to better quantify it and, on the other hand, to test the established climatological hypotheses according to which the hydrological cycle should be intensifying because of global warming. By p…
Policy-Relevant Assessment of Urban CO2 Emissions
Authors: Thomas Lauvaux, K. R. Gurney, N. L. Miles, K. J. Davis, Scott J. Richardson, Aijun Deng et al.
Journal: Environmental Science & Technology · DOI: 10.1021/acs.est.0c00343 · Citations: 140
Matched topics: land surface model, earth system model
emissions, underconstrained despite the inclusion of coemitted species information.
Iran’s Agriculture in the Anthropocene
Authors: Mohsen Maghrebi, Roohollah Noori, Rabin Bhattarai, Zaher Mundher Yaseen, Qiuhong Tang, Nadhir Al‐Ansari et al.
Journal: Earth s Future · DOI: 10.1029/2020ef001547 · Citations: 130
Matched topics: irrigation
Abstract The anthropogenic impacts of development and frequent droughts have limited Iran’s water availability. This has major implications for Iran’s agricultural sector which is responsible for about 90% of water consumption at the national scale. This study investigates if declining water availability impacted agriculture in Iran. Using the Mann‐Kendall and Sen’s slope estimator methods, we explored the changes in Iran’s agricultural production and area during the 1981–2013 period. Despite…
Carbon budget of the Harvard Forest Long‐Term Ecological Research site: pattern, process, and response to global change
Authors: Adrien C. Finzi, Marc‐André Giasson, Audrey Barker Plotkin, John D. Aber, Emery R. Boose, Eric A. Davidson et al.
Journal: Ecological Monographs · DOI: 10.1002/ecm.1423 · Citations: 124
Matched topics: land surface model
Abstract How, where, and why carbon (C) moves into and out of an ecosystem through time are long‐standing questions in biogeochemistry. Here, we bring together hundreds of thousands of C‐cycle observations at the Harvard Forest in central Massachusetts, USA, a mid‐latitude landscape dominated by 80–120‐yr‐old closed‐canopy forests. These data answered four questions: (1) where and how much C is presently stored in dominant forest types; (2) what are current rates of C accrual and loss; (3) wh…
Determination of agricultural land suitability with a multiple-criteria decision-making method in Northwestern Turkey
Authors: Timuçin Everest, Ali Sungur, Hasan Özcan
Journal: International Journal of Environmental Science and Technology · DOI: 10.1007/s13762-020-02869-9 · Citations: 123
Matched topics: land surface model, earth system model
This study was carried out in the district of Lapseki in Çanakkale, Turkey. The suitability of land in Lapseki for agriculture was evaluated by using an analytic hierarchy process. In the study, the basic parameters were determined by using the soil map and the Shuttle Radar Topography Mission data. Land use capability classes, soil depth, erosion risk and other soil properties (limiting factors) were obtained from the soil map, while slope, elevation and aspect were obtained from the Shuttle…
Feasibility evaluation of a hybrid renewable power generation system for sustainable electricity supply in a Moroccan remote site
Authors: H. El-houari, A. Allouhi, Shafiqur Rehman, Mahmut Sami Büker, T. Kousksou, A. Jamil et al.
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2020.123534 · Citations: 121
Matched topics: land surface model, hydropower
Abstract not available.
Rising Temperature May Trigger Deep Soil Carbon Loss Across Forest Ecosystems
Authors: Jinquan Li, Junmin Pei, Elise Pendall, Peter B. Reich, Nam Jin Noh, Bo Li et al.
Journal: Advanced Science · DOI: 10.1002/advs.202001242 · Citations: 108
Matched topics: earth system model
variations, results further show that using the thermal response of shallow soil layer for the whole soil profile, as is usually done in model predictions, would significantly underestimate soil C-climate feedbacks. The results highlight that Earth system models need to consider multilayer soil C dynamics and their controls to improve prediction accuracy.
A Regional Neural Network Approach to Estimate Water-Column Nutrient Concentrations and Carbonate System Variables in the Mediterranean Sea: CANYON-MED
Authors: Marine Fourrier, Laurent Coppola, Hervé Claustre, Fabrizio D’Ortenzio, Raphaëlle Sauzède, Jean‐Pierre Gattuso
Journal: Frontiers in Marine Science · DOI: 10.3389/fmars.2020.00620 · Citations: 104
Matched topics: hydrologic model, earth system model
A regional neural network-based method, “CANYON-MED” is developed to estimate nutrients and carbonate system variables specifically in the Mediterranean Sea over the water column from pressure, temperature, salinity, and oxygen together with geolocation and date of sampling. Six neural network ensembles were developed, one for each variable (i.e., three macronutrients: nitrates (NO 3- ), phosphates (PO 43- ) and silicates (SiOH 4 ), and three carbonate system variables: pH on the total scale …
Understanding the uncertainty in global forest carbon turnover
Authors: Thomas A. M. Pugh, Tim Rademacher, Sarah L. Shafer, Jörg Steinkamp, Jonathan Barichivich, Brian Beckage et al.
Journal: Biogeosciences · DOI: 10.5194/bg-17-3961-2020 · Citations: 102
Matched topics: land surface model, earth system model
Abstract. The length of time that carbon remains in forest biomass is one of the largest uncertainties in the global carbon cycle, with both recent historical baselines and future responses to environmental change poorly constrained by available observations. In the absence of large-scale observations, models used for global assessments tend to fall back on simplified assumptions of the turnover rates of biomass and soil carbon pools. In this study, the biomass carbon turnover times calculate…
Vegetation Detection Using Deep Learning and Conventional Methods
Authors: Bulent Ayhan, Chiman Kwan, Bence Budavari, Li-Yun Martin Kwan, Yan Lu, Daniel Pérez et al.
Journal: Remote Sensing · DOI: 10.3390/rs12152502 · Citations: 100
Matched topics: land surface model, earth system model
Land cover classification with the focus on chlorophyll-rich vegetation detection plays an important role in urban growth monitoring and planning, autonomous navigation, drone mapping, biodiversity conservation, etc. Conventional approaches usually apply the normalized difference vegetation index (NDVI) for vegetation detection. In this paper, we investigate the performance of deep learning and conventional methods for vegetation detection. Two deep learning methods, DeepLabV3+ and our custom…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 956 |
| After deduplication | 664 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 614 |
Papers by journal
| Journal | Papers |
|---|---|
| Journal of Cleaner Production | 3 |
| Remote Sensing | 2 |
| Ecological Indicators | 2 |
| Advances in Water Resources | 2 |
| Proceedings of the National Academy of Sciences | 2 |
| Journal of Hydrology | 2 |
| Geoscientific model development | 2 |
| Scientific Data | 2 |
| Science Advances | 1 |
| International Journal of Disaster Risk Reduction | 1 |
| Scientific Reports | 1 |
| Functional Ecology | 1 |
| Industrial Crops and Products | 1 |
| New Phytologist | 1 |
| Agricultural and Forest Meteorology | 1 |
| The ISME Journal | 1 |
| Water Resources Research | 1 |
| European Journal of Soil Science | 1 |
| Nature Energy | 1 |
| The Science of The Total Environment | 1 |
| Journal of Climate | 1 |
| Climatic Change | 1 |
| Process Safety and Environmental Protection | 1 |
| Journal of Geophysical Research Oceans | 1 |
| Journal of the Saudi Society of Agricultural Sciences | 1 |
| Unknown | 1 |
| Nature Communications | 1 |
| Energy Conversion and Management | 1 |
| Joule | 1 |
| International Journal of Hydrogen Energy | 1 |
| Journal of Molecular Liquids | 1 |
| Frontiers in Earth Science | 1 |
| Water Research | 1 |
| Hydrology and earth system sciences | 1 |
| Environmental Science & Technology | 1 |
| Earth s Future | 1 |
| Ecological Monographs | 1 |
| International Journal of Environmental Science and Technology | 1 |
| Advanced Science | 1 |
| Frontiers in Marine Science | 1 |
| Biogeosciences | 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