Weekly Literature Review
Week 28 · July 12–July 18, 2021
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
- Urban flood modeling using deep-learning approaches in Seoul, South Korea
- Evaluation of artificial intelligence models for flood and drought forecasting in arid and tropical regions
- An urban system perspective on urban flood resilience using SEM: evidence from Nanjing city, China
- Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS
- Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India
- Drought Analysis and Prediction
- Long-term crop rotation diversification enhances maize drought resistance through soil organic matter
- The osmolyte-producing endophyte Streptomyces albidoflavus OsiLf-2 induces drought and salt tolerance in rice via a multi-level mechanism
- Resistance of microbial community and its functional sensitivity in the rhizosphere hotspots to drought
- Assessment of meteorological drought change in the 21st century based on CMIP6 multi-model ensemble projections over mainland China
- Urban tree growth and ecosystem services under extreme drought
- Relative water content consistently predicts drought mortality risk in seedling populations with different morphology, physiology and times to death
- Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning
- A deep learning convolutional neural network algorithm for detecting saline flow sources and mapping the environmental impacts of the Urmia Lake drought in Iran
- Stress memory of physiological, biochemical and metabolomic responses in two different rice genotypes under drought stress: The scale matters
- Streamflow Forecasting and Machine Learning
- Climate Change and Water Resources
- Amazonia as a carbon source linked to deforestation and climate change
- An investigation into the relationship between climate change anxiety and mental health among Gen Z Filipinos
- Development and validation of a climate change perceptions scale
- Impacts of climate change on vegetation phenology and net primary productivity in arid Central Asia
- Climate change drives mountain butterflies towards the summits
- Correcting Weather and Climate Models by Machine Learning Nudged Historical Simulations
- Scenarios of potential vegetation distribution in the different gradient zones of Qinghai-Tibet Plateau under future climate change
- Urbanization Impacts on Evapotranspiration Across Various Spatio‐Temporal Scales
- An evaluation of
CMIP5 andCMIP6 climate models in simulating summer rainfall in the Southeast Asian monsoon domain - Zonal mean and shift modes of historical climate response to evolving aerosol distribution
- Hydrologic Modeling and Calibration
- Return of the Lemnaceae: duckweed as a model plant system in the genomics and postgenomics era
- Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment
- Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning
- Mechanical side-deep fertilization mitigates ammonia volatilization and nitrogen runoff and increases profitability in rice production independent of fertilizer type and split ratio
- Pipedream: An interactive digital twin model for natural and urban drainage systems
- Application of Bayesian Hyperparameter Optimized Random Forest and XGBoost Model for Landslide Susceptibility Mapping
- Water Management and Sustainability
- Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review
- Global soil moisture data derived through machine learning trained with in-situ measurements
- Remote sensing techniques: mapping and monitoring of mangrove ecosystem—a review
- Keeping Track of Greenhouse Gas Emission Reduction Progress and Targets in 167 Cities Worldwide
- Tipping point realized in cod fishery
- Revealing the widespread potential of forests to increase low level cloud cover
- Projections of salt intrusion in a mega-delta under climatic and anthropogenic stressors
- Functional root trait‐based classification of cover crops to improve soil physical properties
- Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South Korea
- Planetary Boundaries Analysis of Low-Carbon Ammonia Production Routes
- Impact of small-scale irrigation on household food security: evidence from Ethiopia
- A 1 km resolution soil organic carbon dataset for frozen ground in the Third Pole
- Sustaining United States reservoir storage capacity: Need for a new paradigm
- Insights Into the Prevalence and Impacts of Phthalate Esters in Aquatic Ecosystems
- Urban morphology and traffic congestion: Longitudinal evidence from US cities
- Iran’s Groundwater Hydrochemistry
- Future perspectives and mitigation strategies towards groundwater arsenic contamination in West Bengal, India
- Research on Temporal and Spatial Resolution and the Driving Forces of Ecological Environment Quality in Coal Mining Areas Considering Topographic Correction
- Global Estimation and Assessment of Monthly Lake/Reservoir Water Level Changes Using ICESat-2 ATL13 Products
- 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 Lei, Adikari et al. The studies collectively advance both data-driven and physically-based approaches to flood prediction and management.
Urban flood modeling using deep-learning approaches in Seoul, South Korea
Authors: Xinxiang Lei, Wei Chen, Mahdi Panahi, Fatemeh Falah, Omid Rahmati, Evelyn Uuemaa et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2021.126684 · Citations: 200
Matched topics: runoff, flood
Identification of flood-prone sites in urban environments is necessary, but there is insufficient hydraulic information and time series data on surface runoff. To date, several attempts have been made to apply deep-learning models for flood hazard mapping in urban areas. This study evaluated the capability of convolutional neural network (NNETC) and recurrent neural network (NNETR) models for flood hazard mapping. A flood-inundation inventory (including 295 flooded sites) was used as the resp…
Evaluation of artificial intelligence models for flood and drought forecasting in arid and tropical regions
Authors: Kasuni E. Adikari, Sangam Shrestha, Dhanika T. Ratnayake, Aakanchya Budhathoki, S. Mohanasundaram, Matthew N. Dailey
Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2021.105136 · Citations: 120
Matched topics: runoff, flood, drought
Abstract not available.
An urban system perspective on urban flood resilience using SEM: evidence from Nanjing city, China
Authors: Peng Wang, Yabo Li, Yuhu Zhang
Journal: Natural Hazards · DOI: 10.1007/s11069-021-04933-0 · Citations: 98
Matched topics: flood
Abstract not available.
Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS
Authors: Antonia Sebastian, Daan Bader, Kees Nederhoff, Tim Leijnse, Jeremy D. Bricker, Stefan Aarninkhof
Journal: Natural Hazards · DOI: 10.1007/s11069-021-04922-3 · Citations: 89
Matched topics: water management, flood
Abstract not available.
Flash-flood hazard susceptibility mapping in Kangsabati River Basin, India
Authors: Rabin Chakrabortty, Subodh Chandra Pal, Fatemeh Rezaie, Alireza Arabameri, Saro Lee, Paramita Roy et al.
Journal: Geocarto International · DOI: 10.1080/10106049.2021.1953618 · Citations: 88
Matched topics: hydrologic model, river, flood
Flood-susceptibility mapping is an important component of flood risk management to control the effects of natural hazards and prevention of injury. We used a remote-sensing and geographic information system (GIS) platform and a machine-learning model to develop a flood susceptibility map of Kangsabati River Basin, India where flash flood is common due to monsoon precipitation with short duration and high intensity. And in this subtropical region, climate change’s impact helps to influence the…
Drought Analysis and Prediction
Drought research this week encompasses 9 studies covering monitoring, prediction, and impact assessment. Key work by Renwick, Niu et al. highlights advances in drought characterization across multiple spatial and temporal scales.
Long-term crop rotation diversification enhances maize drought resistance through soil organic matter
Authors: Leah L.R. Renwick, William M. Deen, Lucas C. R. Silva, Matthew E. Gilbert, Toby M. Maxwell, Timothy M. Bowles et al.
Journal: Environmental Research Letters · DOI: 10.1088/1748-9326/ac1468 · Citations: 100
Matched topics: water management, drought
Abstract Climate change adaptation requires building agricultural system resilience to warmer, drier climates. Increasing temporal plant diversity through crop rotation diversification increases yields of some crops under drought, but its potential to enhance crop drought resistance and the underlying mechanisms remain unclear. We conducted a drought manipulation experiment using rainout shelters embedded within a 36-year crop rotation diversity and no-till experiment in a temperate climate a…
The osmolyte-producing endophyte Streptomyces albidoflavus OsiLf-2 induces drought and salt tolerance in rice via a multi-level mechanism
Authors: Shuqi Niu, Yan Gao, Huixian Zi, Ying Liu, Xuanming Liu, Xianqiu Xiong et al.
Journal: The Crop Journal · DOI: 10.1016/j.cj.2021.06.008 · Citations: 95
Matched topics: drought
Drought and salinity are major environmental stresses that impair crop growth and productivity worldwide. Improving drought and salt tolerance of crops with microbial mutualists is an effective and environmentally sound strategy to meet the demands of the ever-growing world population. In the present study, we found that the Streptomyces albidoflavus OsiLf-2, a moderately salt-tolerant endophytic actinomycete, produced abundant osmolytes, including proline, polysaccharides, and ectoine. Inocu…
Resistance of microbial community and its functional sensitivity in the rhizosphere hotspots to drought
Authors: Xuechen Zhang, David D. Myrold, Lingling Shi, Yakov Kuzyakov, Hongcui Dai, Duyen Thi Thu Hoang et al.
Journal: Soil Biology and Biochemistry · DOI: 10.1016/j.soilbio.2021.108360 · Citations: 91
Matched topics: drought
Abstract not available.
Assessment of meteorological drought change in the 21st century based on CMIP6 multi-model ensemble projections over mainland China
Authors: Zhihong Song, Jun Xia, Dunxian She, Lingcheng Li, Chen Hu, Si Hong
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2021.126643 · Citations: 89
Matched topics: drought
Abstract not available.
Urban tree growth and ecosystem services under extreme drought
Authors: Thomas Rötzer, Astrid Moser-Reischl, Mohammad A. Rahman, Christian Hartmann, Heiko Paeth, Stephan Pauleit et al.
Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2021.108532 · Citations: 86
Matched topics: drought
Abstract not available.
Relative water content consistently predicts drought mortality risk in seedling populations with different morphology, physiology and times to death
Authors: Gerard Sapes, Anna Sala
Journal: Plant Cell & Environment · DOI: 10.1111/pce.14149 · Citations: 84
Matched topics: water management, drought
Predicted increases in forest drought mortality highlight the need for predictors of incipient drought-induced mortality (DIM) risk that enable proactive large-scale management. Such predictors should be consistent across plants with varying morphology and physiology. Because of their integrative nature, indicators of water status are promising candidates for real-time monitoring of DIM, particularly if they standardize morphological differences among plants. We assessed the extent to which d…
Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning
Authors: Jun Li, Zhaoli Wang, Xushu Wu, Chong‐Yu Xu, Shenglian Guo, Xiaohong Chen et al.
Journal: Water Resources Research · DOI: 10.1029/2020wr029413 · Citations: 82
Matched topics: hydrology, streamflow, water management, drought
Abstract While reliable drought prediction is fundamental for drought mitigation and water resources management, it is still a challenge to develop robust drought prediction models due to complex local hydro‐climatic conditions and various predictors. Sea surface temperature (SST) is considered as the fundamental predictor to develop drought prediction models. However, traditional models usually extract SST signals from one or several specific sea zones within a given time span, which limits …
A deep learning convolutional neural network algorithm for detecting saline flow sources and mapping the environmental impacts of the Urmia Lake drought in Iran
Authors: Bakhtiar Feizizadeh, Mohammad Kazemi Garajeh, Tobia Lakes, Thomas Blaschke
Journal: CATENA · DOI: 10.1016/j.catena.2021.105585 · Citations: 81
Matched topics: drought
Abstract not available.
Stress memory of physiological, biochemical and metabolomic responses in two different rice genotypes under drought stress: The scale matters
Authors: Priscila Ariane Auler, Gustavo Maia Souza, Marcela Regina Gonçalves da Silva Engela, Marcelo Nogueira do Amaral, Tatiana Rossatto, Maria Gabriella Ziglio da Silva et al.
Journal: Plant Science · DOI: 10.1016/j.plantsci.2021.110994 · Citations: 75
Matched topics: drought
Abstract not available.
Streamflow Forecasting and Machine Learning
Machine learning and data-driven approaches to streamflow prediction feature prominently with 1 papers. The studies demonstrate continued innovation in hybrid modeling frameworks, signal decomposition techniques, and ensemble methods for improved hydrological forecasting.
Long-term Reservoir Inflow Forecasts: Enhanced Water Supply and Inflow Volume Accuracy Using Deep Learning
Authors: Zachary C. Herbert, Zeeshan Asghar, Carlos Oroza
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2021.126676 · Citations: 73
Matched topics: runoff, streamflow, reservoir
Abstract not available.
Climate Change and Water Resources
Climate-water interactions are explored in 10 papers this week, addressing impacts on the cryosphere, water cycle components, and regional water resources under changing conditions.
Amazonia as a carbon source linked to deforestation and climate change
Authors: Luciana V. Gatti, Luana S. Basso, J. B. Miller, Manuel Gloor, Lucas G. Domingues, Henrique Cassol et al.
Journal: Nature · DOI: 10.1038/s41586-021-03629-6 · Citations: 1000
Matched topics: climate change
Abstract not available.
An investigation into the relationship between climate change anxiety and mental health among Gen Z Filipinos
Authors: Marc Eric S. Reyes, Bianca Patricia B. Carmen, Moses Emmanuel P. Luminarias, Soleil Anne Nichole B. Mangulabnan, Charles A. Ogunbode
Journal: Current Psychology · DOI: 10.1007/s12144-021-02099-3 · Citations: 172
Matched topics: climate change
Climate change and mental health concerns are both defining issues of the generation of today. It has been established that the worsening climate causes many environmental disasters and physical health problems. However, its psychological impacts are still not well understood. Climate change has brought about an emerging psychological phenomenon termed ‘climate anxiety’ or ‘eco-anxiety,’ which has been described as a “chronic fear of environmental doom” (Clayton et al., 2017, p. 68) due to th…
Development and validation of a climate change perceptions scale
Authors: Anne M. van Valkengoed, Linda Steg, Goda Perlaviciute
Journal: Journal of Environmental Psychology · DOI: 10.1016/j.jenvp.2021.101652 · Citations: 154
Matched topics: climate change
People’s perceptions of climate change have been of great interest for understanding how people respond to climate change. Yet, studies differ greatly in how they assess climate change perceptions, which makes it difficult to compare and integrate findings. The aim of this paper is to develop and validate a scale to reliably measure people’s climate change perceptions. We define climate change perceptions as people’s perceptions of the reality and causes of climate change, and the perceived v…
Impacts of climate change on vegetation phenology and net primary productivity in arid Central Asia
Authors: Lizhou Wu, Xiaofei Ma, Xin Dou, Jianting Zhu, Chengyi Zhao
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2021.149055 · Citations: 148
Matched topics: climate change
Abstract not available.
Climate change drives mountain butterflies towards the summits
Authors: Dennis Rödder, Thomas Schmitt, Patrick Gros, Werner Ulrich, Jan Christian Habel
Journal: Scientific Reports · DOI: 10.1038/s41598-021-93826-0 · Citations: 124
Matched topics: climate change
Climate change impacts biodiversity and is driving range shifts of species and populations across the globe. To understand the effects of climate warming on biota, long-term observations of the occurrence of species and detailed knowledge on their ecology and life-history is crucial. Mountain species particularly suffer under climate warming and often respond to environmental changes by altitudinal range shifts. We assessed long-term distribution trends of mountain butterflies across the east…
Correcting Weather and Climate Models by Machine Learning Nudged Historical Simulations
Authors: Oliver Watt‐Meyer, Noah Brenowitz, Spencer K. Clark, Brian Henn, Anna Kwa, Jeremy McGibbon et al.
Journal: Geophysical Research Letters · DOI: 10.1029/2021gl092555 · Citations: 117
Matched topics: land surface model
Abstract Due to limited resolution and inaccurate physical parameterizations, weather and climate models consistently develop biases compared to the observed atmosphere. Using the FV3GFS model at coarse resolution, we propose a method of machine learning corrective tendencies from a hindcast simulation nudged toward observational analysis. We show that a random forest can predict the nudging tendencies from this hindcast simulation with moderate skill using only the model state as input. This…
Scenarios of potential vegetation distribution in the different gradient zones of Qinghai-Tibet Plateau under future climate change
Authors: Zemeng Fan, Xuyang Bai
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2021.148918 · Citations: 82
Matched topics: climate change
on average per decade from T0 to T3. The potential vegetation types distributed in the alpine zone would show the fastest change ratio (11.32% per decade) and that in low mountain and other zone would show the slowest change ratio (7.54% per decade) on average. The ecological diversity and patch connectivity of potential vegetation would be decreased by 0.108% and 0.290% per decade on average from T0 to T3. In general, the potential vegetation types distributed in the high elevation area gene…
Urbanization Impacts on Evapotranspiration Across Various Spatio‐Temporal Scales
Authors: Amir Mazrooei, M. D. Reitz, Dingbao Wang, A. Sankarasubramanian
Journal: Earth s Future · DOI: 10.1029/2021ef002045 · Citations: 79
Matched topics: water management
Abstract Urbanization has been shown to locally increase the nighttime temperatures creating urban heat islands, which partly arise due to evapotranspiration (ET) reduction. It is unclear how the direction and magnitude of the change in local ET due to urbanization varies globally across different climatic regimes. This knowledge gap is critical, both for the key role of ET in the energy and water balance accounting for the majority of local precipitation, and for reducing the urban heat isla…
An evaluation of CMIP5 and CMIP6 climate models in simulating summer rainfall in the Southeast Asian monsoon domain
Authors: Dibesh Khadka, Mukand S. Babel, Abayomi A. Abatan, Matthew Collins
Journal: International Journal of Climatology · DOI: 10.1002/joc.7296 · Citations: 75
Matched topics: land surface model
Abstract In this study, 28 climate models from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) and 32 models from the sixth phase (CMIP6) have been evaluated for their ability to simulate large‐scale atmospheric circulations (using rainfall, wind fields, geopotential height, temperature, and moisture flux convergence) for the summer monsoon in Southeast Asia. Using a multi‐criteria decision making technique, models have been ranked based on 25 metrics which compare their …
Zonal mean and shift modes of historical climate response to evolving aerosol distribution
Authors: Sarah M. Kang, Shang‐Ping Xie, Clara Deser, Baoqiang Xiang
Journal: Science Bulletin · DOI: 10.1016/j.scib.2021.07.013 · Citations: 74
Matched topics: land surface model, earth system model
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.
Return of the Lemnaceae: duckweed as a model plant system in the genomics and postgenomics era
Authors: Kenneth Acosta, Klaus‐J. Appenroth, Ljudmilla Borisjuk, Marvin Edelman, Uwe Heinig, Marcel A. K. Jansen et al.
Journal: The Plant Cell · DOI: 10.1093/plcell/koab189 · Citations: 227
Matched topics: earth system model
The aquatic Lemnaceae family, commonly called duckweed, comprises some of the smallest and fastest growing angiosperms known on Earth. Their tiny size, rapid growth by clonal propagation, and facile uptake of labeled compounds from the media were attractive features that made them a well-known model for plant biology from 1950 to 1990. Interest in duckweed has steadily regained momentum over the past decade, driven in part by the growing need to identify alternative plants from traditional ag…
Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment
Authors: Daniel Althoff, Lineu Neiva Rodrigues
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2021.126674 · Citations: 168
Matched topics: hydrologic model
Abstract not available.
Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning
Authors: Qingliang Li, Ziyu Wang, Wei Shangguan, Lu Li, Yifei Yao, Fanhua Yu
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2021.126698 · Citations: 162
Matched topics: hydrologic model
The skillful soil moisture (SM) for the Soil Moisture Active Passive (SMAP) L4 product can provide substantial value for many practical applications including ecosystem management and precision agriculture. Deep learning (DL) models provide powerful methods for hydrologic variables’ prediction such as SM. However, the sample size of daily SM in the SMAP product is quite small, which may lead to overfitting and further impact the accuracy of DL models. From this, we first tested whether excell…
Mechanical side-deep fertilization mitigates ammonia volatilization and nitrogen runoff and increases profitability in rice production independent of fertilizer type and split ratio
Authors: J. Min, Haijun Sun, Yuan Wang, Pan YunFeng, Herbert J. Kronzucker, Zhao Dongqing et al.
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2021.128370 · Citations: 112
Matched topics: runoff
Abstract not available.
Pipedream: An interactive digital twin model for natural and urban drainage systems
Authors: Matthew Bartos, Branko Kerkez
Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2021.105120 · Citations: 112
Matched topics: surface water
Faced with persistent flooding and water quality challenges, water managers are now seeking to build digital twins of surface water systems that combine sensor data with online models to better understand and control system dynamics. Towards this goal, this study presents pipedream—an end-to-end simulation engine for real-time modeling and state estimation in natural/urban drainage networks. The engine combines (i) a new hydraulic solver based on the one-dimensional Saint-Venant equations and…
Application of Bayesian Hyperparameter Optimized Random Forest and XGBoost Model for Landslide Susceptibility Mapping
Authors: Wang Shibao, Jianqi Zhuang, Jia Zheng, Hong-yu Fan, Jiaxu Kong, Jiewei Zhan
Journal: Frontiers in Earth Science · DOI: 10.3389/feart.2021.712240 · Citations: 100
Matched topics: hydrology, land surface model
Landslides are widely distributed worldwide and often result in tremendous casualties and economic losses, especially in the Loess Plateau of China. Taking Wuqi County in the hinterland of the Loess Plateau as the research area, using Bayesian hyperparameters to optimize random forest and extreme gradient boosting decision trees model for landslide susceptibility mapping, and the two optimized models are compared. In addition, 14 landslide influencing factors are selected, and 734 landslides …
Water Management and Sustainability
Water management research spans 19 papers addressing topics from irrigation optimization and reservoir operations to water resource assessment and sustainability frameworks.
Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review
Authors: Sima Peyghambari, Yun Zhang
Journal: Journal of Applied Remote Sensing · DOI: 10.1117/1.jrs.15.031501 · Citations: 349
Matched topics: land surface model, earth system model
Hyperspectral imaging has been used in a variety of geological applications since its advent in the 1970s. In the last few decades, different techniques have been developed by geologists to analyze hyperspectral data in order to quantitatively extract geological information from the high-spectral-resolution remote sensing images. We attempt to review and update various steps of the techniques used in geological information extraction, such as lithological and mineralogical mapping, ore explor…
Global soil moisture data derived through machine learning trained with in-situ measurements
Authors: O Sungmin, René Orth
Journal: Scientific Data · DOI: 10.1038/s41597-021-00964-1 · Citations: 233
Matched topics: hydrology, hydrologic model, land surface model, earth system model
While soil moisture information is essential for a wide range of hydrologic and climate applications, spatially-continuous soil moisture data is only available from satellite observations or model simulations. Here we present a global, long-term dataset of soil moisture derived through machine learning trained with in-situ measurements, SoMo.ml. We train a Long Short-Term Memory (LSTM) model to extrapolate daily soil moisture dynamics in space and in time, based on in-situ data collected from…
Remote sensing techniques: mapping and monitoring of mangrove ecosystem—a review
Authors: Khushbu Maurya, Seema Mahajan, Nilima Rani Chaube
Journal: Complex & Intelligent Systems · DOI: 10.1007/s40747-021-00457-z · Citations: 200
Matched topics: land surface model
Abstract Mangrove forests are considered to be the most productive ecosystem yet vanishing rapidly over the world. They are mostly found in the intertidal zone and sheltered by the seacoast. Mangroves have potential socio-economic benefits such as protecting the shoreline from storm and soil erosion, flood and flow control, acting as a carbon sink, provides a fertile breeding ground for marine species and fauna. It also acts as a source of income by providing various forest products. Restorat…
Keeping Track of Greenhouse Gas Emission Reduction Progress and Targets in 167 Cities Worldwide
Authors: Ting Wei, Junliang Wu, Shaoqing Chen
Journal: Frontiers in Sustainable Cities · DOI: 10.3389/frsc.2021.696381 · Citations: 155
Matched topics: climate change
Actions in cities shape the outcome of greenhouse gas (GHG) emission mitigation and our climate change response. Accurate and consistent carbon inventories are essential for identifying the main sources of emissions and global comparison of carbon reduction progress and would help inform targeted policies for low-carbon transition. To identify the effectiveness of historical carbon reduction policies, our study conducted energy-related GHG emission inventories for 167 globally distributed cit…
Tipping point realized in cod fishery
Authors: Christian Möllmann, Xochitl Cormon, Steffen Funk, Saskia A. Otto, Jörn Schmidt, Heike Schwermer et al.
Journal: Scientific Reports · DOI: 10.1038/s41598-021-93843-z · Citations: 126
Matched topics: climate change
Understanding tipping point dynamics in harvested ecosystems is of crucial importance for sustainable resource management because ignoring their existence imperils social-ecological systems that depend on them. Fisheries collapses provide the best known examples for realizing tipping points with catastrophic ecological, economic and social consequences. However, present-day fisheries management systems still largely ignore the potential of their resources to exhibit such abrupt changes toward…
Revealing the widespread potential of forests to increase low level cloud cover
Authors: Grégory Duveiller, Federico Filipponi, Andrej Ceglar, Jędrzej S. Bojanowski, Ramdane Alkama, Alessandro Cescatti
Journal: Nature Communications · DOI: 10.1038/s41467-021-24551-5 · Citations: 116
Matched topics: land surface model, earth system model
Forests play a key role in humanity’s current challenge to mitigate climate change thanks to their capacity to sequester carbon. Preserving and expanding forest cover is considered essential to enhance this carbon sink. However, changing the forest cover can further affect the climate system through biophysical effects. One such effect that is seldom studied is how afforestation can alter the cloud regime, which can potentially have repercussions on the hydrological cycle, the surface radiati…
Projections of salt intrusion in a mega-delta under climatic and anthropogenic stressors
Authors: Sepehr Eslami, P. Hoekstra, Philip S. J. Minderhoud, Nam Nguyen Trung, Jannis Hoch, Edwin H. Sutanudjaja et al.
Journal: Communications Earth & Environment · DOI: 10.1038/s43247-021-00208-5 · Citations: 114
Matched topics: hydrology, land surface model, hydropower
Abstract Rising temperatures, rapid urbanization and soaring demand for natural resources threaten deltas worldwide and make them vulnerable to rising seas, subsidence, droughts, floods, and salt intrusion. However, climate change projections in deltas often address climate-driven stressors in isolation and disregard parallel anthropogenic processes, leading to insufficient socio-political drive. Here, using a combination of process-based numerical models that integrate both climatic and anth…
Functional root trait‐based classification of cover crops to improve soil physical properties
Authors: Csilla Hudek, Cristinel Putinica, Wilfred Otten, Sarah De Baets
Journal: European Journal of Soil Science · DOI: 10.1111/ejss.13147 · Citations: 111
Matched topics: runoff, water management
Abstract Cover crop use is a well‐established soil conservation technique and has been proven effective for erosion control and soil remediation in many arable systems. Whereas the obvious protection mechanism of cover crops occurs through the canopy, plant roots perform multiple functions. It is important to consider the soil functions delivered by different root systems in order to increase the uptake of cover crops for sustainable soil and water management. A classification of cover crop r…
Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South Korea
Authors: Quang Viet Ly, Xuan Cuong Nguyen, Ngoc C. Lê, Tien-Dung Truong, Thu‐Huong Thi Hoang, Tae Jun Park et al.
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2021.149040 · Citations: 106
Matched topics: river, water management
Abstract not available.
Planetary Boundaries Analysis of Low-Carbon Ammonia Production Routes
Authors: Sebastiano Carlo D’Angelo, Selene Cobo, Víctor Tulus, Abhinandan Nabera, Antonio J. Martín, Javier Pérez‐Ramírez et al.
Journal: ACS Sustainable Chemistry & Engineering · DOI: 10.1021/acssuschemeng.1c01915 · Citations: 106
Matched topics: hydropower
At present, the synthesis of ammonia through the Haber-Bosch (HB) process accounts for 1.2% of the global carbon emissions, representing roughly one-fourth of the global fossil consumption from the chemical industry, which creates a pressing need for alternative low-carbon synthesis routes. Analyzing seven essential planetary boundaries (PBs) for the safe operation of our planet, we find that the standard HB process is unsustainable as it vastly transgresses the climate change PB. In order to…
Impact of small-scale irrigation on household food security: evidence from Ethiopia
Authors: Yilma Jambo, Abera Alemu, Workalemahu Tasew
Journal: Agriculture & Food Security · DOI: 10.1186/s40066-021-00294-w · Citations: 101
Matched topics: land surface model, irrigation
Abstract Background Adamitulu Jido Komoblcha is one of the districts located in lowland areas of the Oromia region with irrigation potentials of 14,000 hectares out of which only 2568 hectares are under small-scale irrigation practices. Though there are a lot of households using irrigation in the study area, the impact that it has brought on the food security of the household is not yet well studied in the area. Several related studies reviewed lack appropriate impact evaluation methods in st…
A 1 km resolution soil organic carbon dataset for frozen ground in the Third Pole
Authors: Dong Wang, Tonghua Wu, Lin Zhao, Cuicui Mu, Ren Li, Xianhua Wei et al.
Journal: Earth system science data · DOI: 10.5194/essd-13-3453-2021 · Citations: 98
Matched topics: earth system model
Abstract. Soil organic carbon (SOC) is very important in the vulnerable ecological environment of the Third Pole; however, data regarding the spatial distribution of SOC are still scarce and uncertain. Based on multiple environmental variables and soil profile data from 458 pits (depth of 0–1 m) and 114 cores (depth of 0–3 m), this study uses a machine-learning approach to evaluate the SOC storage and spatial distribution at a depth interval of 0–3 m in the frozen ground area of the Third Pol…
Sustaining United States reservoir storage capacity: Need for a new paradigm
Authors: Timothy J. Randle, Gregory L. Morris, Desirèe Tullos, Frank H. Weirich, G. Mathias Kondolf, Daniel N. Moriasi et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2021.126686 · Citations: 93
Matched topics: reservoir, water management
Abstract not available.
Insights Into the Prevalence and Impacts of Phthalate Esters in Aquatic Ecosystems
Authors: Ntsako Dellas Baloyi, Memory Tekere, Khumbudzo Walter Maphangwa, V. Masindi
Journal: Frontiers in Environmental Science · DOI: 10.3389/fenvs.2021.684190 · Citations: 92
Matched topics: runoff, land surface model
Phthalate esters (PEs) are by far the most produced and extensively used synthetic organic chemicals with notable applications in many industrial products such as vinyl upholstery, adhesives, food containers, packaging materials, printing inks, adhesives, cosmetics, paints, pharmaceuticals munitions, and insecticides among other. PEs have long been recognised as ubiquitous organic pollutants of prime environmental concern, with urbanisation amongst the main cause and source of these compounds…
Urban morphology and traffic congestion: Longitudinal evidence from US cities
Authors: Mingshu Wang, Neil Debbage
Journal: Computers Environment and Urban Systems · DOI: 10.1016/j.compenvurbsys.2021.101676 · Citations: 87
Matched topics: streamflow, land surface model
Traffic congestion is an ever-increasing issue across urban environments in the US. One potential mitigation strategy is to improve our understanding of how the geographical patterns of urban land use influence congestion. Unfortunately, there is no consensus regarding if more sprawling or dense urban morphologies help mitigate congestion issues. To potentially clarify the conflicting findings of previous studies, we used a detailed spatial metric-based approach and panel regression to quanti…
Iran’s Groundwater Hydrochemistry
Authors: Mohsen Maghrebi, Roohollah Noori, Sadegh Partani, Alireza Araghi, Reza Barati, Hosein Farnoush et al.
Journal: Earth and Space Science · DOI: 10.1029/2021ea001793 · Citations: 79
Matched topics: water management
Abstract Iran’s groundwater hydrochemistry has not been well understood. In this study, Iran’s groundwater hydrochemistry is evaluated using a rich, ground‐trusted data sampled from 9,468 wells distributed across the country in 2011. Twelve groundwater quality parameters were analyzed in each sample, resulting in 113,616 parameters over the study period. Examination of anions‐cations shows that concentrations of sodium, calcium, chloride, and sulphate are higher than the acceptable threshold …
Future perspectives and mitigation strategies towards groundwater arsenic contamination in West Bengal, India
Authors: Soumyajit Koley
Journal: Environmental Quality Management · DOI: 10.1002/tqem.21784 · Citations: 77
Matched topics: water management, surface water
Arsenic is a toxic carcinogen mostly found in subsurface environments. It is released into groundwater mostly via natural geological and hydrological processes. Consumption of such contaminated water leads to serious health crises for mankind. Developing countries in South Asia, particularly the rural regions, have been severely affected by this environmental phenomenon. In India, government authorities have implemented several remedial measures to provide safe drinking water to the rural hab…
Research on Temporal and Spatial Resolution and the Driving Forces of Ecological Environment Quality in Coal Mining Areas Considering Topographic Correction
Authors: Xinran Nie, Zhenqi Hu, Qi Zhu, Mengying Ruan
Journal: Remote Sensing · DOI: 10.3390/rs13142815 · Citations: 76
Matched topics: land surface model
Over the last few years, under the combined effects of climate change and human factors, the ecological environment of coal mining areas has undergone tremendous changes. Therefore, the rapid and accurate quantitative assessments of the temporal and spatial evolution of the ecological environment quality is of great significance for the ecological restoration and development planning of coal mining areas. This study applied the ecological environment index after topographic correction to impr…
Global Estimation and Assessment of Monthly Lake/Reservoir Water Level Changes Using ICESat-2 ATL13 Products
Authors: Nan Xu, Huiying Zheng, Yue Ma, Jian Yang, Xinyuan Liu, Xiao Hua Wang
Journal: Remote Sensing · DOI: 10.3390/rs13142744 · Citations: 72
Matched topics: reservoir, water management
Accurate and detailed information on lake/reservoir water levels and temporal changes around the globe is urgently required for water resource management and related studies. The traditional satellite radar altimeters normally monitor water level changes of large lakes and reservoirs (i.e., greater than 1 km2) around the world. Fortunately, the recent Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) makes it possible to monitor water level changes for some small lakes and reservoirs (i.e…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 1038 |
| After deduplication | 737 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 687 |
Papers by journal
| Journal | Papers |
|---|---|
| Journal of Hydrology | 6 |
| The Science of The Total Environment | 3 |
| Environmental Modelling & Software | 2 |
| Natural Hazards | 2 |
| Scientific Reports | 2 |
| Remote Sensing | 2 |
| Geocarto International | 1 |
| Environmental Research Letters | 1 |
| The Crop Journal | 1 |
| Soil Biology and Biochemistry | 1 |
| Agricultural and Forest Meteorology | 1 |
| Plant Cell & Environment | 1 |
| Water Resources Research | 1 |
| CATENA | 1 |
| Plant Science | 1 |
| Nature | 1 |
| Current Psychology | 1 |
| Journal of Environmental Psychology | 1 |
| Geophysical Research Letters | 1 |
| Earth s Future | 1 |
| International Journal of Climatology | 1 |
| Science Bulletin | 1 |
| The Plant Cell | 1 |
| Journal of Cleaner Production | 1 |
| Frontiers in Earth Science | 1 |
| Journal of Applied Remote Sensing | 1 |
| Scientific Data | 1 |
| Complex & Intelligent Systems | 1 |
| Frontiers in Sustainable Cities | 1 |
| Nature Communications | 1 |
| Communications Earth & Environment | 1 |
| European Journal of Soil Science | 1 |
| ACS Sustainable Chemistry & Engineering | 1 |
| Agriculture & Food Security | 1 |
| Earth system science data | 1 |
| Frontiers in Environmental Science | 1 |
| Computers Environment and Urban Systems | 1 |
| Earth and Space Science | 1 |
| Environmental Quality Management | 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