4.7 Article

Projecting impacts of wildfire and climate change on streamflow, sediment, and organic carbon yields in a forested watershed

期刊

JOURNAL OF HYDROLOGY
卷 590, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jhydrol.2020.125403

关键词

SWAT-OSCM; Biogeochemical processes; Hydrological processes; Dissolved organic carbon; Particulate organic carbon

资金

  1. Campus Alberta Innovation Program Chair [RES0034497]
  2. Natural Sciences and Engineering Research Council of Canada Discovery [RES0043463]
  3. National Institute of Food and Agriculture, U.S. Department of Agriculture, McIntire Stennis project [1009768]

向作者/读者索取更多资源

Increasing temperatures and irregular precipitation associated with climate change, along with increasing frequency and severity of wildfires, contribute to increased downstream transport of sediment and total organic carbon (TOC), with potential impacts on aquatic ecosystem structure and resilience, recreational use of water bodies, and downstream drinking water treatment. Our study aimed to investigate the effects of both climate change and wildfires on water budget, sediment, and organic carbon by simulating the response of sub-catchments and in-stream processes to changes in future climate and wildfire scenarios. To achieve this, we applied a physical process-based hydrologic model, where an in-stream Organic Carbon Simulation Module was embedded within the Soil and Water Assessment Tool (SWAT-OCSM), to the Elbow River watershed in Alberta, Canada. Post-wildfire conditions of both moderate and high burn severities were replicated in the model within two burn perimeters to assess in-stream organic carbon processes related to particulate organic carbon (POC) and dissolved organic carbon (DOC) as state variables under changing climate. Results of the climate change scenarios indicated lower streamflow relative to the baseline period (1995-2014), particularly between May-August, with 25.3-46.9% less water in the near future (2015-2034) compared to 9.9-31.8% less water in the distant future (2043-2062). Sediment concentrations generally decreased, whereas TOC concentrations increased, in both the near future and distant future scenarios reflecting uncertainty in climate effects on water quality. Wildfire simulations compounded with climate change significantly changed local hydrology, increasing surface runoff, sediment, and TOC transport by over 500% in some study sub-catchments. However, at the watershed outlet, sediment yields only increased up to 6.5% and TOC yields increased up to 13.1%. Burn severity invoked a stronger watershed response than burn area, and greater relative changes were observed for wildfires occurring with the worst-case climate change scenarios. This study provided a strong basis for analyzing watershed responses to potential future wildfires. However, recommendations are provided for further model developments to account for wildfire consequences and feedbacks with hydrological and biogeochemical processes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Environmental Sciences

Arsenic bioaccumulation and biotransformation in aquatic organisms

Wei Zhang, Ai-Jun Miao, Ning-Xin Wang, Chengjun Li, Jun Sha, Jianbo Jia, Daniel S. Alessi, Bing Yan, Yong Sik Ok

Summary: This review evaluates the processes of dissolved uptake, dietary assimilation, biotransformation, and elimination of arsenic in aquatic organisms and discusses the factors influencing these processes. It contributes to our understanding of the environmental behavior and biological fate of arsenic and helps regulate the environmental risk posed by arsenic pollution.

ENVIRONMENT INTERNATIONAL (2022)

Article Environmental Sciences

Molecular dynamics simulation study of covalently bound hybrid coagulants (CBHyC): Molecular structure and coagulation mechanisms

Yuxia Liu, Shihan Cheng, Xueying Yang, An Xue, Zhenshan Li, Daniel S. Alessi, Kurt O. Konhauser, Huazhang Zhao

Summary: This study used molecular dynamics simulations to investigate the interaction dynamics and motivations during the coagulation of contaminant molecules by covalently-bound organic silicate-aluminum hybrid coagulants (CBHyC). The simulations revealed that CBHyC forms a core-shell structure, with aliphatic carbon chains in the core and hydrophilic quaternary ammonium-Si-Al complexes in the shell. The adsorption of different types of organic contaminants onto CBHyC was driven by varying forces such as van der Waals forces, electrostatic interactions, and hydrophobic interactions. The findings contribute to a better understanding of the aggregation behavior between low molecular weight contaminants and CBHyC, and have implications for improving wastewater treatment efficiency.

CHEMOSPHERE (2022)

Article Engineering, Environmental

Persisting Effects in Daphnia magna Following an Acute Exposure to Flowback and Produced Waters from the Montney Formation

Aaron Boyd, Ivy Luu, Devang Mehta, Sunil P. Myers, Connor B. Stewart, Karthik R. Shivakumar, Katherine N. Snihur, Daniel S. Alessi, Maria Camila Rodriguez Gallo, Heather Veilleux, Marin E. Wiltse, Thomas Borch, R. Glen Uhrig, Tamzin A. Blewett

Summary: Hydraulic fracturing uses water and proppants to extract oil and gas, but the resulting wastewater, called flowback and produced water (FPW), contains toxic compounds. Previous research has shown the toxicity of FPW to Daphnia magna (D. magna). This study found that D. magna was unable to recover from a 48-hour exposure to FPW, and the toxicity persisted for at least 19 days post-exposure. The study highlights the importance of considering long-term effects of FPW remediation in spill scenarios.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2023)

Article Water Resources

Characterizing stream temperature hysteresis in forested headwater streams

Lorrayne Miralha, Austin D. Wissler, Catalina Segura, Kevin D. Bladon

Summary: Stream temperature (T-s) plays a crucial role in controlling the biology, ecology, and chemistry of aquatic systems. The exchange of energy between air, water, and streambed interfaces in forested headwaters can influence T-s regimes, especially during storm events. Understanding the hysteresis behavior of T-s during storms can provide insights into rainfall-runoff responses and the effects of catchment characteristics. This study analyzed T-s data from forested headwater reaches in Northern California and found that T-s hysteresis varied across seasons, with the highest variability occurring in spring and summer. The relationship between T-s hysteresis and catchment characteristics differed between sub-regions, with topographic metrics being more influential in one sub-region and meteorological metrics being more influential in the other. The findings highlight the importance of catchment physiographic characteristics in driving T-s response during storm events and demonstrate the potential of T-s as a tracer for understanding hydrologic connectivity.

HYDROLOGICAL PROCESSES (2023)

Article Environmental Sciences

Mitigation of arsenic release by calcium peroxide (CaO2) and rice straw biochar in paddy soil

Hye-Bin Kim, Jong-Gook Kim, Daniel S. Alessi, Kitae Baek

Summary: In this study, a biochar-coupled calcium peroxide system was proposed to control the increase in As mobility caused by biochar amendment in paddy soil environment. The combination of rice straw biochar pyrolyzed at 500 degrees C (RB) with CaO2 exhibited remarkable performance in controlling As mobility in soil, and As mobility decreased by 40.2% (RB + CaO2-p) and 58.9% (RB + CaO2-b) compared to RB alone.

CHEMOSPHERE (2023)

Article Engineering, Environmental

Selective Extraction of Critical Metals from Spent Lithium-Ion Batteries

Mengmeng Wang, Kang Liu, Zibo Xu, Shanta Dutta, Marjorie Valix, Daniel S. Alessi, Longbin Huang, Julie B. Zimmerman, Daniel C. W. Tsang

Summary: Selective and highly efficient extraction technologies are crucial for the recovery of critical metals from spent lithium-ion battery (LIB) cathode materials. The tailored deep eutectic solvent (DES) choline chloride-formic acid (ChCl-FA) demonstrated high selectivity and efficiency in extracting critical metals from mixed cathode materials under mild conditions. Mechanochemical reactions further enhanced the leaching performance of critical metals and inhibited the leaching of nontarget elements, thus promoting selectivity and efficiency.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2023)

Article Engineering, Environmental

Exogenous Electroactive Microbes Regulate Soil Geochemical Properties and Microbial Communities by Enhancing the Reduction and Transformation of Fe(III) Minerals

Xiaolin Zhang, Yuxia Liu, Qixing Zhou, Yuge Bai, Ruixiang Li, Tian Li, Jintian Li, Daniel S. S. Alessi, Kurt O. O. Konhauser

Summary: Electroactive microbes can regulate soil geochemical properties and microbial communities through extracellular electron transfer. This study incubated Fe-limited and Fe-enriched farmland soil with electroactive microbes and a common iron mineral. The results showed that the addition of electroactive microbes decreased soil pH, TOC, and TN, increased soil conductivity, and promoted Fe-(III) reduction.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2023)

Article Environmental Sciences

Water footprint of shale gas development in China in the carbon neutral era

Cheng Zhong, Deyi Hou, Baicang Liu, Songbai Zhu, Tong Wei, Joel Gehman, Daniel S. Alessi, Pei-Yuan Qian

Summary: The production of shale gas in China will impact the global energy landscape and carbon neutrality. However, limited and threatened water resources may hinder its expansion. Projected data suggests that water stress will worsen in two-thirds of China's provinces in the next decade. By 2035, annual water use for shale gas extraction is estimated to increase significantly, posing potential risks for water competition in drought-prone areas. Additionally, the wastewater management market is expected to grow to $0.2 billion by 2035. This study emphasizes the need for policies addressing the energy-water nexus to facilitate China's transition to carbon neutrality.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2023)

Article Engineering, Civil

Modeling wildfire effects on streamflow in the Cascade Mountains, Oregon, USA

K. A. Wampler, K. D. Bladon, M. Faramarzi

Summary: The increasing occurrence of large and severe wildfires poses a growing threat to forested watersheds and their ecosystem services. Previous research has shown that wildfires can lead to significant increases in peak flows and water yields, causing potential water quality concerns and management challenges. However, there is still uncertainty about post-fire hydrologic responses, particularly at large basin scales. To address this, we projected the impact of three large wildfires on streamflow in two important forested watersheds in Oregon. Using the SWAT model, we compared burned and unburned scenarios to identify drivers of post-fire water yield and peak flow changes.

JOURNAL OF HYDROLOGY (2023)

Article Engineering, Environmental

Networks of Dissolved Organic Matter and Organo-Mineral Associations Stimulate Electron Transfer over Centimeter Distances

Yuge Bai, Tianran Sun, Muammar Mansor, Prachi Joshi, Yiling Zhuang, Stefan B. Haderlein, Stefan Fischer, Kurt O. Konhauser, Daniel S. Alessi, Andreas Kappler

Summary: In this study, the roles of dissolved organic matter (DOM) and organo-mineral associations (OMAs) in electron transfer were investigated during microbial Fe-(III)-mineral reduction. Only when both DOM and OMAs were present, significant electron transfer occurred. The proportion of DOM and OMAs showed a positive correlation with the extent of Fe-(III) mineral reduction, but the variation in DOM proportion had a stronger effect on the reduction compared to OMAs. These findings provide new insights into how organic carbon facilitates iron transformation and the associated biogeochemical cycling of nutrients and contaminants in forest soil systems.

ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS (2023)

Article Geochemistry & Geophysics

The impact of aggregation between clay and phytoplanktonic cyanobacteria on trace elemental cycling in coastal environments

Weiduo Hao, Logan Swaren, Jingyi Wang, Daniel Baker, Scott Melnyk, George W. Owttrim, Hongbo Zeng, Thomas J. Algeo, Murray K. Gingras, Daniel S. Alessi, Kurt O. Konhauser

Summary: The reactivity of clay-cyanobacterial aggregates is influenced by aggregate concentration and clay mineral coverage on cyanobacteria. Additive reactivity is observed at low concentrations, but surface site blockage occurs at high concentrations. This process may impact trace-elemental cycling in the marine biosphere.

GEOCHIMICA ET COSMOCHIMICA ACTA (2023)

Article Engineering, Civil

Assessment of blue water-green water interchange under extreme warm and dry events across different ecohydrological regions of western Canada

Pouya Khalili, Saman Razavi, Evan G. R. Davies, Daniel S. Alessi, Monireh Faramarzi

Summary: Green water and blue water, as key drivers of terrestrial ecosystems and food production, are interconnected through natural and anthropogenic processes. However, the future relationship between them is uncertain and may shift unpredictably due to extreme warm-dry events.

JOURNAL OF HYDROLOGY (2023)

Review Environmental Sciences

Machine Learning for Heavy Metal Removal from Water: Recent Advances and Challenges

Xiangzhou Yuan, Jie Li, Juin Yau Lim, Ashkan Zolfaghari, Daniel S. Alessi, Yin Wang, Xiaonan Wang, Yong Sik Ok

Summary: Research on machine learning (ML)-aided investigations for the removal of heavy metals (HMs) from contaminated waters has shown great potential. This approach offers the opportunity to optimize physiochemical processes and gain deeper insights into HM removal behaviors. However, challenges such as limited data availability, data formatting inconsistencies, and data collection inefficiencies need to be addressed. To overcome these challenges, centralized and decentralized data sharing methodologies should be promoted to accelerate ML-guided strategies for HM removal.

ACS ES&T WATER (2023)

Article Engineering, Environmental

Insights into the rare earth element potential of coal combustion by-products from western Canada

Brendan A. Bishop, Karthik Ramachandran Shivakumar, Daniel S. Alessi, Leslie J. Robbins

Summary: Rare earth elements (REE) are crucial minerals in clean energy technologies, and new sources are needed to meet increasing demand. Coal combustion by-products (CCBs) have potential as a source of REE due to their availability and environmental advantages. The geochemical composition of CCBs plays a critical role in the effectiveness of extraction processes. This study examines CCBs from western Canada as a potential source of REE, with the Ca-rich CCBs showing the highest concentration of REE and the Si-rich samples exhibiting varied REE recovery rates. Geochemical data from this study, combined with global data, suggest that REE enrichment is associated with certain elements and clay and/or detrital minerals. The recovery of REE from CCBs could provide a near-term, environmentally friendly solution to meet the increasing demand for these critical minerals.

ENVIRONMENTAL SCIENCE-ADVANCES (2023)

Article Environmental Sciences

Deciphering the dual role of bacterial communities in stabilizing rhizosphere priming effect under intra-annual change of growing seasons

Chao He, Jean Damascene Harindintwali, Hao Cui, Yongxing Cui, Pengfei Chen, Chaoyang Mo, Qingyang Zhu, Weiwei Zheng, Daniel S. Alessi, Fang Wang, Zhenhui Jiang, Jingping Yang

Summary: The rhizosphere priming effect (RPE) is a phenomenon that affects carbon turnover in plant-soil systems. This study investigated the impact of seasonal changes on RPE and soil carbon by planting maize in paddy soil during two growing seasons in southern China. The results showed that microbial metabolism was limited by different factors in different seasons, but both seasons exhibited positive RPE. The study also revealed the simultaneous response and adaptation of microbial communities to seasonal changes.

SCIENCE OF THE TOTAL ENVIRONMENT (2023)

Article Engineering, Civil

Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin

Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani

Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological modelling of large-scale karst-dominated basin using a grid-based distributed karst hydrological model

Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen

Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction

Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao

Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty separation of drought projection in the 21st century using SMILEs and CMIP6

Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan

Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying the natural flood management potential of leaky dams in upland catchments, Part II: Leaky dam impacts on flood peak magnitude

Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown

Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Forecasting and optimization for minimizing combined sewer overflows using Machine learning frameworks and its inversion techniques

Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu

Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Characterizing nitrogen dynamics and their response to sediment dredging in a lowland rural river

Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao

Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin

Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang

Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Permafrost on the Tibetan Plateau is degrading: Historical and projected trends

Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu

Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying precipitation moisture contributed by different atmospheric circulations across the Tibetan Plateau

Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu

Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

A methodology to improve the accuracy of Total phosphorous diffuse load estimates from agroforestry watersheds

Manuel Almeida, Antonio Rodrigues, Pedro Coelho

Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Prediction of dissolved organic nitrogen via spectroscopic fingerprint in the shallow riverbed sediments of effluent-dominated rivers: A case study in Xi'an, northwest China

Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang

Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty analysis of 100-year flood maps under climate change scenarios

Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal

Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological consequences of controlled drainage with subirrigation

Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus

Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Understanding the global success criteria for managed aquifer recharge schemes

Constantin Seidl, Sarah Ann Wheeler, Declan Page

Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.

JOURNAL OF HYDROLOGY (2024)