Xiaodi Fu

ORCID: 0000-0002-7348-7417
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About
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Research Areas
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Hydrological Forecasting Using AI
  • Precipitation Measurement and Analysis
  • Water Quality and Pollution Assessment
  • Hydrology and Drought Analysis
  • Soil and Water Nutrient Dynamics
  • Medical Research and Treatments
  • Regional Development and Environment
  • Urban Stormwater Management Solutions
  • Hydraulic flow and structures
  • Research studies in Vietnam
  • Water Resources and Sustainability
  • Neuroscience and Neuropharmacology Research
  • Neural dynamics and brain function
  • Dam Engineering and Safety
  • Neuroscience and Neural Engineering
  • Meteorological Phenomena and Simulations

China Energy Engineering Corporation (China)
2024

China Institute of Water Resources and Hydropower Research
2019-2024

Ministry of Water Resources of the People's Republic of China
2019-2024

China National Commission for Disaster Reduction
2023

Institute of Biophysics
2017

Chinese Academy of Sciences
2017

Climate change and human activities have a great impact on the environment challenged assumption of stability hydrological time series consistency observed data. In order to investigate applicability machine learning (ML)-based rainfall–runoff (RR) simulation methods under changing scenario, several ML-based RR models implemented in novel continuous non-real-time correction manners were constructed. The proposed incorporated categorical boosting (CatBoost), multi-hidden-layer BP neural...

10.3390/w16020302 article EN Water 2024-01-16

For the purpose of improving scientific nature, reliability, and accuracy flood forecasting, it is an effective practical way to construct a forecasting scheme carry out real-time with consideration different rain patterns. The technique for pattern classification great significance in above-mentioned technical roadmap. With rapid development artificial intelligence technologies such as machine learning, possible necessary apply these new methods assist applications. In this research,...

10.3390/w15081570 article EN Water 2023-04-17

10.1016/j.neunet.2017.08.004 article EN publisher-specific-oa Neural Networks 2017-08-30

The Monte Carlo sampling (MCS) method is a simple and practical way for hydrological model parameter optimization. MCS procedure used to generate large number of data points. Therefore, its computational efficiency key issue when applied large-scale problems. an internally concurrent algorithm that can be parallelized. It has the potential execute on massively parallel hardware systems such as multi-node computer clusters equipped with multiple CPUs GPUs, which are known heterogeneous...

10.3390/w15152810 article EN Water 2023-08-03

The existing flood stochastic simulation methods are mostly applied to the of intensity characteristics, with less consideration for randomness hydrograph shape and its correlation characteristics. In view this, this paper proposes a method that combines morphological indicators. Using Foziling Xianghongdian reservoirs in Pi River basin China as examples, utilizes three-dimensional asymmetric Archimedean M6 Copula construct models peak flow, volume, duration. Based on K-means clustering,...

10.3390/su151814032 article EN Sustainability 2023-09-21

Flood control risk is one of the main risks affecting safe operation large-scale water transfer projects. Systematically identifying flood in project and carrying out classification hierarchical management are problems for managers. Based on theory system assessment, this paper starts with various sources events involved whole process disaster chain, factors, exposure disaster-bearing body, vulnerability disaster-originating environment combined. Then, we systematically comprehensively...

10.3390/w13131770 article EN Water 2021-06-26

Abstract Since the 19th National Congress of Communist Party China, high-quality development China’s economy has put forward higher requirements for scientific and technological support water safety guarantee. The flood control conditions design unit transfer project have changed to a certain extent compared with initial stage, especially underlying surface rivers engineering in northern region greatly, which seriously affected conveyance supply guarantee receiving area. Therefore, it is...

10.1088/1755-1315/826/1/012029 article EN IOP Conference Series Earth and Environmental Science 2021-07-01

Runoff forecasting is crucial for water resource management and flood safety remains a central research topic in hydrology. Recent advancements machine learning provide novel approaches predicting runoff. This study employs the Competitive Adaptive Reweighted Sampling (CARS) algorithm to integrate various models into data-driven rainfall–runoff simulation model. We compare performance of different improve prediction accuracy. uses data from Maduwang hydrological station Bahe river basin,...

10.3390/w16172397 article EN Water 2024-08-26

Abstract When carrying out the inter-basin water diversion project, we must face problems such as long river routing distance and complex hydro-meteorological conditions along main channel. Under condition of unchangeable standard designed rainstorm, changes underlying surface could inflect flood. As a result, drainage channel is not consistent condition, therefore flood discharge in upper lower sub-reaches changes, actual flow capacity hydraulic structure reduced compared with conditions....

10.1088/1755-1315/826/1/012011 article EN IOP Conference Series Earth and Environmental Science 2021-07-01

Water quality target management in watershed is the fundamental choice of city rivers suffering both serious pollution and severe water shortage. In this study, we performed a case study regarding river control plan based on North Canal River catchment Beijing section, order to obtain effective improvement programs. The ammonia nitrogen (NH3-N) chemical oxygen demand (COD) were taken as main controlling pollutants. targets basic scenarios set up considering different intensities population...

10.4236/jwarp.2019.1111077 article EN Journal of Water Resource and Protection 2019-01-01

Water quality target management in watershed is the fundamental choice of city rivers suffering both serious pollution and severe water shortage. In this study, we performed a case study regarding river control plan based on North Canal River catchment Beijing section, order to obtain effective improvement programs. The ammonia nitrogen (NH3-N) chemical oxygen demand (COD) were taken as main controlling pollutants. targets basic scenarios set up considering different intensities population...

10.4236/jwarp.2019.1011077 article EN Journal of Water Resource and Protection 2019-01-01

Abstract After the water diversion project has been put into operation for many years, due to long distance, complex hydro-meteorological conditions, and rapid development of social economy, underlying surface conditions corresponding natural basins in design units have changed some extent compared with beginning design, especially situation rivers northern region greatly. Based on ArcGIS extract basin characteristic values unit project, such as area, river length slope, this paper analyzes...

10.1088/1755-1315/826/1/012027 article EN IOP Conference Series Earth and Environmental Science 2021-07-01
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