Article
Environmental Sciences
Gary Conley, Robert McDonald, Tyler Nodine, Teresa Chapman, Craig Holland, Christopher Hawkins, Nicole Beck
Summary: Green stormwater infrastructure (GSI) is recognized as an effective means to reduce urban runoff impacts. This study quantifies the relationships between urban greenness, GSI, and hydrology. The results show that urban greenness has significant influences on downstream flow responses, and GSI implementation has a weak influence on urban greenness.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Shahbaz Ali, Shouhong Zhang, Farman Ali Chandio
Summary: Rainwater harvesting systems are widely implemented in urban areas to address water scarcity and stormwater issues. However, the impacts of rainfall change on these systems vary in different climatic zones. This study found that rainfall change can affect both water saving and stormwater control performance of rainwater harvesting systems in Pakistan, with specific locations requiring adaptive measures to mitigate negative impacts.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Review
Environmental Sciences
Mo Wang, Chuanhao Sun, Dongqing Zhang
Summary: The study conducted a comprehensive review of green storm infrastructure (GSI) research through bibliometric analysis. It found an exponential increase in GSI publications since 2010, with the United States and China contributing the most. The research foci have shifted from conventional engineering-based frameworks to ecological-based multi-elements.
ENVIRONMENTAL RESEARCH
(2023)
Article
Water Resources
Andrew J. Miller, Claire Welty, Jonathan M. Duncan, Mary Lynn Baeck, James A. Smith
Summary: The hydrologic response of urban watersheds to pulse rainfall events can be explained by watershed properties, despite differences in storm events. Variation in SWM and impervious cover did not significantly affect hydrograph peak attenuation, with the primary difference observed on the recession limb. Findings suggest that SWM may be less effective at attenuating urban hydrographs than commonly assumed, and impervious cover may have a greater influence on runoff volume than SWM coverage.
HYDROLOGICAL PROCESSES
(2021)
Article
Green & Sustainable Science & Technology
Gang Lu, Lin Wang
Summary: Conventional stormwater management infrastructures lack sustainability due to urbanization and climate change, while green stormwater infrastructure (GSI) is seen as a more sustainable alternative. An integrated framework for GSI planning is developed, focusing on facility and ecosystem aspects to improve the provision of ecosystem services and enhance ecosystem resilience.
Article
Environmental Sciences
Kathy DeBusk Gee, Daniel Schimoler, Bree T. Charron, Mitch D. Woodward, William F. Hunt
Summary: The study found that preventing the introduction of pollen and particulate matter to the storage tank via a first flush diverter and minimizing disturbance of settled material in the tank is the most effective method for addressing the poor aesthetics and odor problems associated with anaerobic conditions.
Article
Environmental Studies
Oliver Weiss, Pia Minixhofer, Bernhard Scharf, Ulrike Pitha
Summary: Equations for calculating evapotranspiration in technical soils show significant variations in results due to different climatic conditions and vegetation specifics. Through laboratory tests, a user-friendly equation based on temperature, vegetation type, and technical soil has been developed to accurately measure evapotranspiration rates in technical soils.
Article
Engineering, Civil
Kun Zhang, Anthony J. Parolari
Summary: The study investigates the subsurface fate of stormwater infiltration enhanced by green infrastructure (GI) and its impact on the overall water balance. A physically based hydrologic model is developed and applied to a sewershed near Milwaukee, WI, to quantify the partitioning of infiltrated stormwater. The findings show that GI implementation can reduce surface runoff and peak flow in urban sewer systems, but its impact on rainfall-derived inflow and infiltration (RDII) is relatively small.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Gary Conley, Nicole Beck, Catherine Riihimaki, Krista McDonald, Michelle Tanner
Summary: This study presents a method for quantifying the benefits of reducing runoff associated with distributed green stormwater infrastructure (GSI) at the spatial scale required for urban stormwater implementation. The model, driven by a probabilistic representation of rainfall events, provides estimates on a 30-m grid, preserving unique combinations of drainage factors, hydrologic storage, and infiltration benefits of GSI. The model demonstrated strong correspondence with continuous runoff data from urbanized catchments in Salinas, California, over a three-year monitoring period and showed sensitivity to storm drain network inputs.
Article
Engineering, Environmental
Rumana Siddiqui, Kanwal Javid, Muhammad Irfan Ahamad
Summary: This study conducted a spatial analysis to identify suitable potential sites for rainwater and stormwater harvesting in Lahore city, providing a snapshot for policymakers to address water scarcity and urban flooding simultaneously.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Environmental Sciences
Ofer Snir, Eran Friedler, Avi Ostfeld
Summary: The practice of rainwater harvesting has the potential to alleviate stress on urban water distribution systems. This study suggests a method that uses a genetic algorithm to improve the capability of rainwater collection systems while reducing the impact on harvested rainwater availability.
Article
Green & Sustainable Science & Technology
Channpisey Nop, Rasha M. Fadhil, Koichi Unami
Summary: This study establishes a Markov chain model for rainfall time series in temperate climates and employs stochastic dynamic programming to optimize the operation of rainwater harvesting systems. The transition probabilities of the model are based on gamma distribution assumptions with two parameters, contributing to stabilizing the optimal policy.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Xin Fu, Matthew E. Hopton, Xinhao Wang
Summary: Green infrastructure (GI) is recognized for its benefits in reducing flooding risk, improving water quality, and harvesting stormwater. However, there is a lack of comprehensive assessment framework in existing literature to evaluate GI performance in promoting ecosystem functions and services for social-ecological system resilience.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Carlos Alfredo Bigurra-Alzati, Ruperto Ortiz-Gomez, Gabriela A. Vazquez-Rodriguez, Luis D. Lopez-Leon, Liliana Lizarraga-Mendiola
Summary: The study evaluates the theoretical effectiveness of resilient strategies like water conservation and green infrastructure to mitigate water scarcity in semi-arid climates. It found that adopting such strategies can significantly reduce the diameter of urban drainage pipes needed in new developments.
Article
Environmental Sciences
Chase B. Bergeson, Katherine L. Martin, Barbara Doll, Bethany B. Cutts
Summary: As urbanization continues and precipitation patterns become more extreme, stormwater management problems are expanding. Due to the disturbance and compaction of urban soils, rainfall-runoff models designed for non-urban soils may underestimate rainfall run-off, making accurate stormwater management difficult. This study quantifies soil infiltration rates across an urban watershed and compares them to estimates from commonly used rainfall-runoff models, finding that urban soils have higher infiltration capacities than expected. However, stormwater management remains a challenge in this urban watershed.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Review
Geosciences, Multidisciplinary
C. M. Stephens, U. Lall, F. M. Johnson, L. A. Marshall
Summary: Human activities and natural processes constantly change the Earth's surface, impacting the water cycle and requiring robust models. Literature synthesis focuses on the impacts of processes at different spatial and temporal scales and feedbacks between various environmental and anthropogenic shifts.
EARTH-SCIENCE REVIEWS
(2021)
Article
Meteorology & Atmospheric Sciences
Shida Gao, Pan Liu, Upmanu Lall
Summary: The study investigates the covariability, predictability, and reconstruction and prediction models of Northern Hemisphere precipitation using the CERA-20C climate reanalysis dataset. Results show covariation between seasonal precipitation modes and IVT and SST modes, leading to accurate predictions.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Environmental Sciences
Ran Zhai, Fulu Tao, Upmanu Lall, Joshua Elliott
Summary: The study shows that global warming of 1.5 degrees C or 2.0 degrees C will shorten the maize growing season in Africa, aggravate droughts, and reduce yields. Technology development can improve the maize supply-demand ratio, but future projections on population and technology development still need to be considered.
Article
Engineering, Environmental
Jillian Maxcy-Brown, Mark A. Elliott, Leigh Anne Krometis, Joe Brown, Kevin D. White, Upmanu Lall
Summary: Roughly 1/4 of U.S. residents lack access to sanitary sewers, requiring treatment of wastewater through permitted OWTS. Unsuitable geologic conditions may lead to investment in expensive advanced OWTS. Some counties in the U.S. have close to 50% straight pipe use, with no national effort to estimate the impacts of straight pipes.
Article
Environmental Sciences
Alvaro Ossandon, Balaji Rajagopalan, Upmanu Lall, J. S. Nanditha, Vimal Mishra
Summary: The novel BHNM model leverages the spatial dependence induced by river network topology and hydrometeorological variables to improve ensemble forecasts of daily streamflow, demonstrating high skill in predicting monsoon period streamflow in Central India. Incorporating upstream flow information and precipitation as covariates allows for modeling spatial correlation of flows with parsimony. The validation results show that the BHNM model outperforms a null-model of generalized linear regression, highlighting its reliability and skillfulness in streamflow predictions.
WATER RESOURCES RESEARCH
(2021)
Review
Green & Sustainable Science & Technology
Mohammad Amin Hariri-Ardebili, Upmanu Lall
Summary: This article discusses the risk posed to human life by a catastrophic dam break combined with the ongoing COVID-19 pandemic, and revisits conventional risk reduction recommendations in the presence of social distancing guidelines. The paper aims to provide insight into the multi-hazard risk problem resulting from a concurring natural hazard and global pandemic.
Article
Environmental Sciences
Beth Tellman, Upmanu Lall, A. K. M. Saiful Islam, Md Ariffuzaman Bhuyan
Summary: This article explores novel approaches to using flooding index as a tool for parametric insurance products targeting regional governments, utilizing satellite remote sensing inundation extent as a proxy for flood impact. The authors consider alternative bounded distributions to estimate return periods and quantify uncertainty using a bootstrap sampling procedure. Through examining case studies in Bangladesh and Argentina, the study demonstrates how a parametric insurance policy based on fractional flooded area can be priced accounting for uncertainty in small sample estimation.
Article
Multidisciplinary Sciences
Naresh Devineni, Shama Perveen, Upmanu Lall
Summary: This article explores the issue of significant groundwater depletion in regions where grains are procured for public distribution in India and proposes changing the government's procurement and distribution system as a solution.
NATURE COMMUNICATIONS
(2022)
Article
Environmental Sciences
Ziwen Yu, Franco Montalto, Stefan Jacobson, Upmanu Lall, Daniel Bader, Radley Horton
Summary: This article presents an algorithm for generating synthetic precipitation series based on global climate model forecasted average monthly temperatures. The algorithm takes into account nonstationary conditions and considers the physical basis for precipitation formation. The results suggest that future precipitation in the Northeast United States will be more variable, with more frequent mild events and fewer but intensified extremes, especially in warm seasons. This stochastic precipitation generator provides valuable weather ensembles for water resource studies involving climate change.
WATER RESOURCES RESEARCH
(2022)
Article
Multidisciplinary Sciences
Yenan Wu, Di Long, Upmanu Lall, Bridget R. Scanlon, Fuqiang Tian, Xudong Fu, Jianshi Zhao, Jianyun Zhang, Hao Wang, Chunhong Hu
Summary: This study reconstructs the annual streamflow from five headwater regions in the South and East Tibetan Plateau for eight centuries, revealing wet and dry periods and a dividing line of regional moisture regimes. The study also demonstrates temporal nonstationarity in streamflow variability and an increase in extreme flows during the instrumental periods.
NATURE COMMUNICATIONS
(2022)
Article
Geosciences, Multidisciplinary
Dianchen Sun, Huimin Wang, Upmanu Lall, Jing Huang, Gaofeng Liu
Summary: The intensity and frequency of extreme weather are increasing in major metropolitan areas, leading to unprecedented urban floods. Subway systems lack consideration of flood risk, and this study evaluates subway travel risk based on flood hazard, subway travel exposure, and population vulnerability. The findings show that subway travel risk increases with the increase of rainfall return period, and the highest risk occurs during the morning peak period.
GEOMATICS NATURAL HAZARDS & RISK
(2022)
Article
Engineering, Civil
Paulina Concha Larrauri, Upmanu Lall, Mohammad Amin Hariri-Ardebili
Summary: Dam failure can lead to flooding and significant loss of infrastructure and life. It is crucial to develop a systematic method to assess the potential risk of dams and allocate resources for risk mitigation.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2023)
Article
Geosciences, Multidisciplinary
Bianca Rahill-Marier, Naresh Devineni, Upmanu Lall
Summary: This study introduces a hierarchical Bayesian model for analyzing the spatial distribution of rainfall in extreme events and applies it to regional hydrologic risk analysis. By simulating spatial rainfall scenarios, the model provides useful insights for simulating loadings into urban drainage systems. The consideration of partial pooling in the hierarchical Bayesian framework allows for analysis of the homogeneity in spatial rainfall.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Masahiko Haraguchi, Nicole Davi, Mukund Palat Rao, Caroline Leland, Masataka Watanabe, Upmanu Lall
Summary: Mass livestock mortality events, known as dzud, during severe winters have significant socioeconomic implications for Mongolia. This study investigates the recurrence probability of dzud by analyzing the risk factors, such as summer drought conditions and winter minimum temperature, over a century-scale climate record. The findings suggest that the frequency and intensity of dzud events are increasing due to the combined effects of climate change, variability, and socioeconomic dynamics. The study also discusses the implications of continued summer drought for vulnerability and malnutrition.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Luc Bonnafous, Upmanu Lall
Summary: This study presents evidence that the global juxtaposition of major economic assets with extreme climate events leads to higher aggregate risk than expected. By deriving a global exposure index for major mining commodities, it is shown that there is significant spatial and temporal clustering of exposure at the global level. This has implications for investment portfolios and supply chains in terms of potential fat-tailed risks.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2021)
Article
Engineering, Civil
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
