Article
Soil Science
Najmeh Rasooli, Mohammad Hady Farpoor, Majid Mahmoodabadi, Isa Esfandiarpour-Boroujeni
Summary: This research aimed to ascertain the performance of visible and near-infrared spectroscopy (VisNIR) in detecting soil variations related to pedogenetic processes and pedoenvironmental conditions and to show the perspective of the most important variables changing spectral behavior in Lut Watershed.
SOIL & TILLAGE RESEARCH
(2023)
Article
Environmental Sciences
Jianhong Wu, Yanan Jin, Yun Hao, Jun Lu
Summary: The study found that the impact of landscape characteristics on water quality is dependent on spatial scales, with different key controlling factors at different spatial scales. At the catchment scale, patch density, the percentage of paddy fields, and hypsometric integral were identified as key controlling factors affecting water quality. At the buffer scales, slope gradient, forest land percentage, and topographic wetness index were found to more significantly determine water quality variation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Agriculture, Dairy & Animal Science
G. Rovere, G. de los Campos, A. L. Lock, L. Worden, A. Vazquez, K. Lee, R. J. Tempelman
Summary: Through analyzing a large number of milk samples, the study found that Bayesian regression methods outperformed partial least squares in predicting milk fatty acids, and identified spectral regions associated with fatty acids as well as the impact of carbon number and unsaturation level on the strength of associations.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Biochemical Research Methods
Ruoyu Tang, Xinyu He, Ruiqi Wang
Summary: The study presents a general computational method for constructing maps between different cell fates and parametric conditions by systematic perturbations. The method does not require accurate parameter measurements or bifurcations. The maps obtained can help in understanding how systematic perturbations drive cell fate decisions and transitions, providing valuable information for predicting and controlling cell states.
Article
Forestry
Michael S. Watt, David J. Palmer, Ellen Mae C. Leonardo, Maxime Bombrun
Summary: Site productivity indices have been widely used to describe age-normalized height and volume of forest species. In this study, a variety of modeling methods were used to predict Site Index and 300 Index for Pinus radiata D. Don, with non-parametric models like eXtreme Gradient Boosting and random forest outperforming parametric and geospatial models. The use of regression kriging improved prediction accuracy, especially for parametric models, and an ensemble model combining predictions from random forest, XGBoost, and regression model provided the most precise predictions for both Site Index and 300 Index.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Business, Finance
Ziyu Song, Changrui Yu
Summary: A new group of investor sentiment indices constructed using a new dimension reduction technique shows superior ability in predicting market returns and generating economic value for investors.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2022)
Article
Optics
Zhenyu Li, Hui Zhang, Binh Thi Thanh Nguyen, Shaobo Luo, Patricia Yang Liu, Jun Zou, Yuzhi Shi, Hong Cai, Zhenchuan Yang, Yufeng Jin, Yilong Hao, Yi Zhang, Ai-Qun Liu
Summary: The smart sensor achieves label-free multicomponent chemical analysis with a high prediction accuracy and simple detection strategy using a label-free ring resonator and neural network model, promising great potential for applications in various fields.
PHOTONICS RESEARCH
(2021)
Article
Environmental Sciences
Samar Minallah, Allison L. Steiner, Valeriy Y. Ivanov, Andrew W. Wood
Summary: This study analyzes the terrestrial water budget of the North American Great Lakes region using the Noah-MP land surface model. It shows that there are significant spatiotemporal differences in the hydrological budget, with precipitation and soil moisture explaining most of the variability in the southern basins, while the northern latitudes are snow-dominated regimes. The study also emphasizes that the variability in the terrestrial water cycle is crucial for assessing the impacts of climate and land cover changes in the diverse hydroclimate of the Great Lakes region.
WATER RESOURCES RESEARCH
(2023)
Article
Engineering, Chemical
S. Joe Qin, Yiren Liu, Shiqin Tang
Summary: In this article, the relationship between partial least squares (PLS) and other regularized regression algorithms such as Lasso and ridge regression is explored. A steepest descent alternative to the PLS algorithm is also considered. The emphasis is placed on PLS latent variable analysis and its connections to conjugate gradient, Krylov space, and matrix pseudo-inverse using existing literature. Comparison of PLS with Lasso and ridge regression is conducted in terms of different resolutions along the regularization paths, providing insights into why PLS may not always outperform the other algorithms. A steepest descent PLS is proposed as a regularized regression alternative and evaluated against other algorithms through simulations and an industrial case study.
Article
Biodiversity Conservation
Showmitra Kumar Sarkar, Rhyme Rubayet Rudra, Md. Sadmin Nur, Palash Chandra Das
Summary: This study focuses on estimating the salinity of the soil along the coast of south-western Bangladesh. Thirteen soil salinity indicators were calculated using Landsat OLI images, and 241 soil salinity samples were collected from secondary sources. The relationship between soil salinity and several indices was analyzed, and the soil salinity map showed that 29.02% and 13.45% of the study area had very high and high levels of salinity, respectively. Cross-validation was also used to assess the model's predictive accuracy.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Everson Cezar, Tatiane Amancio Alberton, Evandro Freire Lemos, Karym Mayara de Oliveira, Liang Sun, Luis Guilherme Teixeira Crusiol, Marlon Rodrigues, Amanda Silveira Reis, Marcos Rafael Nanni
Summary: The quantification of soil organic matter (SOM) has been increasing in the Brazilian Cerrado region, where SOM content tends to be low. This study evaluated the performance of a local spectral model for SOM prediction using spectroradiometry. The results showed that recalibration of the local models improved the prediction accuracy, but further research is needed to improve the identification of SOM spatial variability.
Article
Engineering, Mechanical
Hongshuo Sun, Li Song, Zhiwu Yu
Summary: This paper proposes a method for bridge damage detection and localization using inclined or deflection measurements based on CNNs' ability to learn the PLSR method to estimate nodal loads. The proposed method avoids costly finite element modeling, does not require real structural damage information, and achieves real-time detection and localization of bridge damage with a small number of sensors installed. Numerical simulations demonstrate the method's accuracy and reliability in detecting and locating damage under unknown loads, multi-damage, and measurement errors.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Food Science & Technology
Annelisa Arruda de Brito, Fernanda Campos, Abadia dos Reis Nascimento, Gilmarcos de Carvalho Correa, Flavio Alves da Silva, Gustavo Henrique de Almeida Teixeira, Luis Carlos Cunha Junior
Summary: This study utilized partial least square models and near-infrared spectroscopy to analyze tomatoes from different regions, resulting in accurate prediction models for solid content in tomatoes.
Article
Engineering, Chemical
Lin Xuan You, Junghui Chen
Summary: To achieve desired product qualities, monitoring the operational status is necessary. Traditional multivariate statistical process control techniques are not suitable for monitoring unevenly distributed process data. This study proposes the use of a multilocal partial least-squares (ML-PLS) model to monitor a wide operation process.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Agriculture, Multidisciplinary
Ernest Afriyie, Ann Verdoodt, Abdul M. Mouazen
Summary: In this study, the potential of fusing visible near-infrared (vis-NIR) and mid-infrared (MIR) spectroscopy to enhance the prediction of soil aggregate stability indices was evaluated. Results showed that MIR models outperformed vis-NIR models, the fusion of both spectra improved the prediction performance for fast wetting index, and model output averaging method yielded the best prediction accuracy for slow wetting and mechanical breakdown indices. Data fusion modelling enhanced the accuracy of predicting soil aggregate stability indices.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Agriculture, Multidisciplinary
R. X. Zhou, J. Wang, C. J. Tang, Y. P. Zhang, X. A. Chen, X. Li, Y. Y. Shi, L. Wang, H. B. Xiao, Z. H. Shi
Summary: Knowledge of soil water movement and water sources in subsurface flow is crucial for understanding runoff generation mechanisms and nutrient-pollution migration. This study investigated mixing processes of new water and old water at hillslopes with different farming practices using isotopic analysis. The results showed that preferred flow and piston flow existed in soil water movement, with farming practices influencing water source partitioning. Old water was found to be the dominant water source for subsurface flow, and the proportion of new water varied dynamically with rainfall.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2023)
Article
Environmental Sciences
Shun Liu, Zhaoyang Liu, Wenfeng Tan, Andrew C. Johnson, Andrew J. Sweetman, Xiaoyan Sun, Yu Liu, Chang Chen, Hao Guo, Hanyu Liu, Xiang Wan, Limei Zhang
Summary: This study investigated the source tracing and transport of PFASs from factories to agricultural fields in a fluorochemical industrial region of China. It also explored the bioaccumulation specificities and prediction of these chemicals in different vegetables, and conducted a comprehensive risk assessment considering precursor degradation. The results showed that PFASs in agricultural soils mainly came from fluorochemical manufacturing and metal processing, and alarming levels of PFASs were found in vegetables. PFASs with short carbon chain or carboxylic acid group exhibited higher transport potentials and bioaccumulation factors, and the number of Casparian strips and protein content in vegetables affected their bioaccumulation factors.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Biodiversity Conservation
Ji Liu, Tianyi Qiu, Josep Penuelas, Jordi Sardans, Wenfeng Tan, Xiaomeng Wei, Yongxing Cui, Qingliang Cui, Chuanfa Wu, Lanfa Liu, Baitao Zhou, Haoran He, Linchuan Fang
Summary: This study found that crop residue inputs can increase soil organic carbon, nitrogen, and phosphorus contents, helping to alleviate soil carbon limitation and maintain balanced soil stoichiometry. The increase in soil organic carbon and carbon-to-nitrogen (phosphorus) ratio reached saturation after around 13-16 years, while the increase in grain yield stopped. A predictive model was proposed to evaluate the potential for crop residue improvement under different soil conditions and nitrogen input levels.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Engineering, Civil
Yi Zeng, Xiangdong Meng, Bing Wang, Mengjie Li, Dan Chen, Lishan Ran, Nufang Fang, Lingshan Ni, Zhihua Shi
Summary: China has successfully implemented large-scale soil and water conservation projects on the Chinese Loess Plateau, resulting in a significant reduction of sediment flux in the Yellow River over the past 60 years. However, the impact of these measures on erosion, transport, and deposition of sediment remains challenging to quantify, which hinders further planning and adjustment of soil and water conservation measures. This study utilized unmanned aerial vehicle (UAV) photogrammetry technology, check dam surveying, and hydrologic monitoring to determine soil erosion, sediment deposition, and sediment yield in a hilly and gully watershed on the Chinese Loess Plateau. The findings revealed that check dams and vegetation restoration have effectively reduced soil erosion and sediment deposition, providing valuable insights for future soil and water conservation planning.
JOURNAL OF HYDROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Chenjia Yuan, Junqiu Lin, Bing Wang, Daming Yang, Nufang Fang, Lingshan Ni, Zhihua Shi
Summary: Splash erosion is the initial stage of water erosion and can cause detachment and transportation of soil particles. The redistribution of soil inorganic carbon (SIC) during splash erosion is not well understood. This study simulated rainfall conditions to investigate the migration of soil particles and SIC in two different types of soils. The results showed differences in the amount and selective migration of splashed material between the soils, as well as differences in SIC sorting characteristics. The enrichment and depletion of SIC during splash erosion varied with soil type, contrary to the enrichment of soil organic carbon (SOC).
Article
Environmental Sciences
Meng Kou, Jingtao Hou, Chang Chen, Juan Xiong, Renhao Wei, Mingxia Wang, Wenfeng Tan
Summary: This study evaluated the single and combined effects of cadmium (Cd) and lead (Pb) on rice root elongation at various concentrations. The results showed that there was an interaction between Cd and Pb, which weakened their toxicity. Cd had a more significant inhibitory effect on Pb toxicity. The study also introduced a systematic method for assessing heavy metal interaction at different concentration levels, which may help formulate control standards for heavy metal combined pollution in agricultural land.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Ecology
Ji Liu, Linchuan Fang, Tianyi Qiu, Haijian Bing, Yongxing Cui, Jordi Sardans, Enzai Du, Ji Chen, Wenfeng Tan, Manuel Delgado-Baquerizo, Guiyao Zhou, Qingliang Cui, Josep Penuelas
Summary: This study investigated the patterns of plant-microbial N/P limitation in forests across China and found significant divergence between the two. The N/P limitation was disconnected in 42.6% of plant-microbial communities, with only 17.7% of N and 39.7% of P limitations consistent. The divergence was more evident at mid-latitudes, where plants were mainly N limited and microbes were mainly P limited. The findings were consistent with ecological stoichiometry and highlighted the importance of soil chemistry in driving the divergence.
FUNCTIONAL ECOLOGY
(2023)
Article
Environmental Sciences
Mingming Sun, Rong Yang, Yixin Tang, Dan Xiao, Wei Zhang, Zhihong Xu, Zhihua Shi, Peilei Hu, Hanqing Wu, Kelin Wang
Summary: Changes in climate and land use can disrupt the soil carbon, nitrogen, and phosphorus cycles, affecting the availability of essential nutrients differently. The impact of lithology on soil C:N:P stoichiometry across a climatic gradient remains largely unknown. This study aimed to determine the variation in nutrient limitations between karst and non-karst forests and croplands.
JOURNAL OF SOILS AND SEDIMENTS
(2023)
Article
Environmental Sciences
Ling Wang, Baodong Xu, Jinsong Zhao, Cai Li, Yi Zeng, Yuhua Niu, Shuxia Yu, Zhen Wang, Zhi-Hua Shi
Summary: Cropland on steep slopes is crucial for smallholders to maintain food security and their livelihoods, but the social-ecological predicament on global steeply sloped cropland is largely overlooked and remains unclear. Our findings indicate that global steeply sloped cropland supports the livelihoods of approximately 168 million people. There are significant disparities in population pressure on steeply sloped cropland across different development levels, with lower-middle-income countries having the highest population density and low-income countries experiencing the largest population growth rate. Moreover, inhabitants of steeply sloped cropland, particularly those in low-income countries, face marginalization from public services and are affected by severe soil erosion and low cropland productivity.
Article
Environmental Sciences
Nufang Fang, Yi Zeng, Lishan Ran, Zhen Wang, Xixi Lu, Zhengang Wang, Xiankun Yang, Jinshi Jian, Qiang Yu, Lingshan Ni, Chun Liu, Chao Yue, Zhihua Shi
Summary: By combining large-scale field surveys and remote sensing techniques, we provide a robust estimate for sediment retention and organic carbon burial of check dams on the Chinese Loess Plateau. Our results show that the 50,226 active check dams have intercepted 10.2 +/- 0.6 Pg eroded sediment during 1970-2020, which equals to 46% of the sediment load of Yellow River. The organic carbon burial efficiency of check dams (about 80%) is significantly higher than in other depositional environments.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Soil Science
Haiyang Liu, Shengnan Zhang, Wei Xu, Hongen Liu, Jiangye Li, Jizheng He, Wenfeng Tan
Summary: The discovery of complete ammonia oxidizers has revolutionized our understanding of two-step nitrification. Previous studies have suggested that these organisms may outcompete canonical ammonia oxidizers under ammonia-limited conditions. However, there is currently no convincing evidence linking their activity to nitrification in acidic soils.
BIOLOGY AND FERTILITY OF SOILS
(2023)
Article
Geosciences, Multidisciplinary
Bing Yu, Zhihua Shi, Yu Zhang
Summary: This study quantitatively evaluates the effects of hydrological and landscape characteristics on suspended sediment concentration and discharge hysteresis. It is found that precipitation, suspended sediment, area of grassland, and the largest patch area have significant impacts on hysteresis dynamics.
Article
Environmental Sciences
Lishan Ran, Nufang Fang, Xuhui Wang, Shilong Piao, Chun Ngai Chan, Siliang Li, Yi Zeng, Zhihua Shi, Mingyang Tian, Yi-jun Xu, Junyu Qi, Boyi Liu
Summary: Soil conservation is crucial for preserving ecosystem viability and enhancing landscape carbon (C) sequestration. In the semiarid Chinese Loess Plateau (CLP), successful soil conservation practices have resulted in a surprisingly low terrestrial-aquatic C transfer, offsetting only 7.5% of the terrestrial net ecosystem productivity. Despite high soil erosion, the CLP acts as an effective C sink, comparable to temperate forests, with additional C burial in reservoirs. These findings highlight the importance of soil conservation for enhancing landscape C sequestration capacity and have implications for regions experiencing increasing erosion intensity.
Article
Environmental Studies
Jingyu Wang, Zhen Wang, Keke Li, Cai Li, Fang Wen, Zhihua Shi
Summary: Soil erosion in cropland areas is influenced by agricultural activities and natural conditions. This study combines the coupling coordination degree model and the Shapley additive explanations method to assess the coupling coordination level between population demand, agricultural production, and soil erosion in 281 Chinese cities. The findings show the moderate coupling between population, crop yield, and soil erosion in China, with GDP and population density identified as the most important factors affecting the coordination level.
Article
Environmental Sciences
Cai Li, Zhongci Deng, Zhen Wang, Yuanchao Hu, Ling Wang, Shuxia Yu, Wei Li, Zhihua Shi, Brett A. Bryan
Summary: Government responses to the COVID-19 pandemic have led to an 8.2% reduction in overall progress towards the Sustainable Development Goals between 2020 and 2023. The pandemic responses have posed unprecedented challenges to the United Nations 2030 Agenda for the SDGs, necessitating a quantitative and multi-dimensional assessment of their impacts.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
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)
