Julien Boulangé

ORCID: 0000-0003-2167-8761
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Pesticide and Herbicide Environmental Studies
  • Climate variability and models
  • Hydrology and Drought Analysis
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Water resources management and optimization
  • Soil and Water Nutrient Dynamics
  • Water-Energy-Food Nexus Studies
  • Pesticide Residue Analysis and Safety
  • Hydrological Forecasting Using AI
  • Geophysics and Gravity Measurements
  • Soil and Unsaturated Flow
  • Groundwater flow and contamination studies
  • Soil Carbon and Nitrogen Dynamics
  • Soil Moisture and Remote Sensing
  • Environmental Toxicology and Ecotoxicology
  • Weed Control and Herbicide Applications
  • Meteorological Phenomena and Simulations
  • Soil erosion and sediment transport
  • Water Resources and Management
  • Irrigation Practices and Water Management
  • Plant Water Relations and Carbon Dynamics
  • Statistical Methods and Bayesian Inference
  • Hydrology and Sediment Transport Processes

Tokyo University of Agriculture and Technology
2011-2024

Shibaura Institute of Technology
2023

National Institute for Environmental Studies
2018-2022

Institute for Global Environmental Strategies
2019

California Department of Pesticide Regulation
2011

California Environmental Protection Agency
2011

Waterborne Environmental (United States)
2011

Environmental Protection Agency
2011

The University of Queensland
2011

Change of flow Anthropogenic influence on climate has changed temperatures, precipitation, atmospheric circulation, and many other related physical processes, but it river as well? Gudmundsson et al. analyzed thousands time series flows hydrological extremes across the globe compared them with model simulations terrestrial water cycle (see Perspective by Hall Perdigão). They found that observed trends can only be explained if effects change are included. Their analysis shows human affected...

10.1126/science.aba3996 article EN Science 2021-03-11

Abstract Globally, flood risk is projected to increase in the future due climate change and population growth. Here, we quantify role of dams mitigation, previously unaccounted for global studies, by simulating floodplain dynamics flow regulation dams. We show that, ignoring dams, average number people exposed flooding below amount 9.1 15.3 million per year, end 21 st century (holding constant), representative concentration pathway (RCP) 2.6 6.0, respectively. Accounting reduces floods 20.6...

10.1038/s41467-020-20704-0 article EN cc-by Nature Communications 2021-01-18

Abstract Droughts that exceed the magnitudes of historical variation ranges could occur increasingly frequently under future climate conditions. However, time emergence unprecedented drought conditions change has rarely been examined. Here, using multimodel hydrological simulations, we investigate changes in frequency (defined as abnormally low river discharge) high and greenhouse gas concentration scenarios existing water resource management measures estimate first regional centered on...

10.1038/s41467-022-30729-2 article EN cc-by Nature Communications 2022-06-28

Abstract. Global water models (GWMs) simulate the terrestrial cycle on global scale and are used to assess impacts of climate change freshwater systems. GWMs developed within different modelling frameworks consider underlying hydrological processes, leading varied model structures. Furthermore, equations describe various processes take forms generally accessible only from individual codes. These factors have hindered a holistic detailed understanding how operate, yet such an is crucial for...

10.5194/gmd-14-3843-2021 article EN cc-by Geoscientific model development 2021-06-24

Abstract Calibration of global hydrological models (GHMs) has been attempted for over two decades; however, an effective and generic calibration method not explored. We present a novel framework calibrating GHMs assuming that parameters can be regionalized by climate similarities. calibrated four sensitive the H08 model aggregating results 5,000 simulations with randomly generated into 11 Köppen classes using objective function Nash–Sutcliffe Efficiency (NSE) random sampling from proposed...

10.1029/2021wr030660 article EN cc-by-nc-nd Water Resources Research 2022-01-31

Abstract. To improve the understanding of trends in extreme flows related to flood events at global scale, historical and future changes annual maxima 7 d streamflow are investigated, using a comprehensive archive six hydrological models. The models' capacity characterise continental scale is evaluated across 3666 river gauge locations over period from 1971 2005, focusing on four aspects trends: (i) mean, (ii) standard deviation, (iii) percentage showing significant (iv) spatial pattern....

10.5194/hess-24-1543-2020 article EN cc-by Hydrology and earth system sciences 2020-04-01

Abstract In this study, we examine the spatial and temporal characteristics of water stress in China for historical (1971–2010) future (2021–2050) periods using a multimodel simulation approach. Three indices (WSIs), that is, ratios withdrawals to locally generated runoff (WSI R ), natural streamflow Q minus upstream consumptive C are used assessment. At basin level, WSI estimates generally match reported data indicate severe most northern basins. grid cell WSIs show distinct patterns...

10.1029/2019ef001181 article EN Earth s Future 2019-08-19

Abstract Droughts are anticipated to intensify in many parts of the world due climate change. However, issue drought definition, namely diversity indices, makes it difficult compare assessments. This is widely known, but its relative importance has never been quantitatively evaluated comparison other sources uncertainty. Here, encompassing three categories (meteorological, agricultural, and hydrological droughts) with four temporal scales interest, we changes frequency using multi-model...

10.1088/1748-9326/ac2348 article EN cc-by Environmental Research Letters 2021-09-02

Climate change and anthropogenic activities are affecting the hydrological conditions of rivers may have altered nutrient suspended sediments released into coastal seas. However, testing this hypothesis is difficult, confounded by lack observational data unavailability globally accepted sediment concentration (SSC) algorithms. Here, we analyzed trends in SSC (2000-2020) at mouths 10 major Asian using available satellite-SSC We identified spatially distinct trends, with decreasing Yellow,...

10.1016/j.scitotenv.2022.155569 article EN cc-by The Science of The Total Environment 2022-04-29

Abstract. Numerical models are simplified representations of the real world at a finite level complexity. Global water used to simulate terrestrial part global cycle, and their outputs contribute evaluation important natural societal issues, including availability, flood risk, ecological functioning. Whilst modeling is an area science that has developed over several decades, individual model-specific descriptions exist for some models, there date been no attempt visualize ways work, using...

10.5194/gmd-18-2409-2025 article EN cc-by Geoscientific model development 2025-04-23

Recent studies have assessed the impacts of climate change at specific global temperature targets using relatively short (30 year ) transient time-slice periods which are characterized by a steady increase in mean with time. The Inter-Sectoral Impacts Model Intercomparison Project Phase 2b (ISIMIP2b) provides trend-preserving bias-corrected model datasets over six centuries for four models (GCMs) therefore can be used to evaluate potential effects from stabilized state rather than on impacts.

10.1088/1748-9326/aac179 article EN cc-by Environmental Research Letters 2018-05-01

Increasing demands from governments and businesses for accurate actionable information regarding water security have led to the development of various interactive websites that provide risk indicators. However, these often lack adequate descriptions sources limitations their datasets failure take any uncertainty associated with indicators into account can serious consequences. Furthermore, only data specific time points, such as mid-century end-of-century, may be less useful. To address...

10.1016/j.cliser.2023.100386 article EN cc-by Climate Services 2023-04-01

Uncertainty assessments of herbicide losses from rice paddies in Japan associated with local meteorological conditions and water management practices were performed using a pesticide fate transport model, PCPF-1, under the Monte Carlo (MC) simulation scheme. First, MC simulations conducted for five different cities prescribed scenario 10-year dataset each city. The effectiveness was observed regarding reduction runoff. However, greater potential runoff remained Western Japan. Secondly, an...

10.1584/jpestics.d11-058 article EN Nippon Nōyaku Gakkaishi 2012-01-01
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