Fangfang Li

Verified

Fangfang verified their affiliation via an institutional email.

Learn more

Verified

Fangfang verified their affiliation via an institutional email.

Learn more

• Ph.D
• Professor (Full) at China Agricultural University

Various studies have shown that stream flow regimes play a significant role in fish spawning stimuli. Stream flows have been altered by reservoir operations around the world, especially in arid and semi-arid regions. In this study, the flow rising processes most effective for fish spawning stimuli are identified, and their quantitative characterist...

Due to the volatility, intermittency and, randomness of photovoltaic (PV) power output, hydropower is utilized as a complementary power source. The largest grid-connected hydro-PV power station, the Longyangxia project, is operational and located in northwestern China. The annual power station operational plan assists in making appropriate annual e...

Sound waves have proven to be effective in promoting the interaction and aggregation of droplets. It is necessary to theoretically study the motion of particles in sound field to develop new acoustic technology for precipitation enhancement. In this paper, the motion of cloud droplets due to a traveling sound wave field emitted from the ground to t...

Acoustic agglomeration refers to the group effect of micro-particle groups in a strong sound field, which promotes relative motion among the particles, leading to the rapid agglomeration of the particle groups. The existing theoretical and experimental research on acoustic agglomeration is focused on solid particles such as soot particles and aeros...

The Middle East (ME) has suffered from severe water stress owing to the limited availability of surface freshwater. The exploitation of atmospheric water may be a potential solution for resolving the water crisis in the ME. This study presents a comprehensive analysis of atmospheric water resources, as well as their exploitability, mainly including...

Global warming has changed both the amount of global precipitation and the atmospheric capacity to retain water. In this paper, a novel definition of the long‐term Capturability of Atmospheric Water (CAW) based on horizontal atmospheric water transport is proposed, describing the ability of a certain area to intercept and convert the atmospheric wa...

Study region: Qinghai-Tibet Plateau (QTP). Study focus: The Qinghai-Tibet Plateau (QTP) is sensitive to climate change and ecologically fragile. Researches on precipitation over the QTP mainly focus on quantity and frequency, overlooking its temporal distribution. However, subtle changes in precipitation can significantly impact the natural environ...

Numerous nations and regions are earnestly dedicated to propelling energy transition. China accounts for 31.78 % of the total global carbon emissions, and China’s energy structure holds paramount significance in the broader context of global initiatives. China has officially proposed to achieve the target of carbon peak by 2030 and carbon neutralit...

With escalating human activities and the substantial emissions of greenhouse gases, global warming intensifies. This phenomenon has led to increased occurrences of various extreme hydrological events, precipitating significant changes in lakes and rivers across the Qinghai Tibet Plateau. Therefore, accurate information extraction about and delineat...

Accurate real-time forecasting of cloud positions relative to the sun is essential for photovoltaic (PV) scheduling. Due to its simplicity, the Cross-Correlation Method (CCM) has been widely used in short-term solar radiation prediction by estimating Cloud Motion Vectors (CMVs). However, comparing each pixel block in the current image with neighbor...

As a robust digital image inpainting technology, the Criminisi algorithm (CA) has been widely used. However, its high running time that it needs to search in the entire undamaged area of the image to determine an optimal matching block presents a challenge. To address this issue, this study proposes an improved version of CA, named PSO-CA, which in...

With the continuous increase in the proportion of renewable energy on the power grid, the stability of the grid is affected, and energy storage technology emerges as a major solution to address such challenges. In comparison to traditional energy storage technologies like batteries and pumped storage, gravity energy storage stands out as an environ...

A detailed analysis of the effect of clouds on irradiance yields insights into the interaction between clouds and radiation and the precise forecasting of short-term solar radiation. Existing research has mainly focused on the impact of the cloud fraction (CF), i.e., the area distribution of clouds, on radiation. However, three-dimensional cloud in...

Solar photovoltaic (PV) power plays a crucial role in mitigating climate change. However, climate change may amplify weather variability and extreme conditions. The extreme conditions can increase the very low PV output and thereby increase the need for grid stabilization services. This study examined how weather variability affects PV power output...

The construction and operation of large‐scale reservoirs alter the natural river flow regimes and destroy the original suitable reproduction and living conditions of aquatic organisms. Especially during the spawning season, the fluctuating water flow process is particularly important for fish reproduction. A bi‐objective optimization model consider...

The atmospheric river (AR) is a long, narrow, and transient corridor of strong horizontal water vapor transport. Various AR detection methods have been proposed, which have introduced significant uncertainty to the identified AR characteristics. This study has designed a data fusion algorithm to merge 12 data sets of different global and regional A...

Scholars have previously shown that sound waves can promote the collision and growth of cloud droplets. To determine the optimal acoustic parameters for fog removal, a cloud chamber with a diameter of 1.0 m and a height of 7.5 m was constructed in this study. The effects of low-frequency (<100 Hz) sound waves on the dispersion of dense fog at diffe...

Precipitation is a vital component of the global atmospheric and hydrological cycles and influencing the distribution of water resources. Even subtle changes in precipitation can significantly impact ecosystems, energy cycles, agricultural production, and food security. Therefore, understanding the changes in the precipitation structure under clima...

Most available long-term operation models for hydropower stations use deterministic historical data as inputs but cannot be employed to update the decision scheme in real time according to the actual solar radiation and inflow conditions, resulting in a disconnect between the given plan and actual decision-making process. In this study, a multistag...

Accurate minute solar forecasts play an increasingly crucial role in achieving optimal intra-day power grid dispatch. However, continuous changes in cloud distribution and coverage pose a challenge to solar forecasting. This study presents a convolutional neural network-long short-term memory (CNN-LSTM) model to predict the future 10-min global hor...

Owing to the limitations of the spatial arrangement of monitoring stations and time acquisition of satellite remote sensing images, the water quality monitoring of rivers, especially small- and medium-sized rivers, cannot be satisfied in terms of time and space continuity. In this study, we propose a standardization method for the camera images der...

The majority of available long-term operation models of hydropower stations use deterministic historical data as inputs, and cannot update the decision scheme in real-time according to the actual solar radiation and inflow conditions. This results in a disconnect between the given plan and actual decision-making. To address existing challenges in t...

The Qinghai-Tibet Plateau (QTP) is a hotspot in the study of global climate change due to its profound impact on the atmospheric water cycle in Asia and even the world. Previous studies on the QTP mainly focused on the spatial distribution of precipitation and its changing trend. To investigate the temporal and spatial variations of precipitation v...

An applicable, high-volume, and sustainable water uptake technology can alleviate freshwater shortages, improve the energy utilization rate and promote the development of energy technology. Traditional seawater desalination, fog water, and dew collection are limited by the geographical environment, and the water resource transportation cost is high...

The Qinghai‐Tibet Plateau (QTP) plays a crucial role in regulating the climate and hydrology over Asia, and studies indicate that the QTP tends to be warm and humid as a whole. Although precipitation variability on the QTP has a great impact on floods, soil erosion, and droughts, it is poorly understood owing to sparse meteorological observations....

With the inherent volatility of solar radiation, accurate short-term prediction of solar irradiance is essential to cost-efficiently stabilise and operate power grids. Cloud is the major influencing factor for variations in solar irradiance at a minute scale. This study proposes a short-term solar irradiance prediction model based on a deep learnin...

Sedimentation affects the normal function of reservoirs and is a decisive factor in the reservoir's service life. Flushing sediment during reservoir operation is an effective non-engineering measure to alleviate reservoir sedimentation; however, lowering water level to discharge more flow conflicts with hydropower generation. In this study, reservo...

Sedimentation not only diminishes the benefits of reservoirs, but also leads to the degradation of riverine ecosystems. Reservoir sedimentation appears particularly serious for China with the maximum annual storage loss of 2.3%, resulting from both the hyper-concentration sediment rivers and the rapid increase of large reservoirs. This study propos...

In this study, we attempted to eliminate atmospheric fog and aerosol particles by strong sound waves. The action of sound waves created an air disturbance, and the oscillation of the local air caused the micron-sized aerosol droplet particles to move. To provide guidance of the characteristics of the effective sound waves, this study numerically si...

Compared with other factors influencing vegetation patterns, such as light and temperature, precipitation has relatively large variability, especially on the Qinghai–Tibet Plateau (QTP), where the natural environment is extremely fragile and sensitive. However, the impact of precipitation regimes, rather than precipitation amount, on vegetation has...

All-sky images derived from ground-based imaging equipment have become an important means of recognizing and quantifying cloud information. Accurate cloud detection is a prerequisite for obtaining important cloud information from an all-sky image. Existing cloud segmentation algorithms can achieve high accuracy. However, for different scenes, such...

With the help of Wen-Jing Li, the authors realized there was a mistake of surface temperature in the paper above. The surface temperature in the paper refers to the temperature recorded in images which was detected by the temperature receptors of the field infrared camera, instead of the real surface temperature. As there was no shelter to the fiel...

Multiobjective optimization has been widely applied to reservoir operations in order to provide balanced operational schemes considering their multiple functions, including flood control, power generation, and ecological objectives. The Pareto front derived from multiobjective optimization is a set of optimal solutions that cannot quickly provide d...

Most available long-term operation models for hydropower stations use deterministic historical data as inputs but cannot be employed to update the decision scheme in real time according to the actual solar radiation and inflow conditions, resulting in a disconnect between the given plan and actual decision-making process. In this study, a multistag...

Accurate streamflow prediction is of great significance for water resource management. In recent years, data-driven models such as artificial neural networks (ANNs) and support vector machines (SVMs) have been widely used in the field of flow prediction. However, traditional data-driven models neglect the extraction and utilization of the data's ow...

Plateau pikas ( Ochotona curzoniae ) are regarded as one of the main causes of the degradation of alpine meadows in the Qinghai-Tibet Plateau (QTP). The population density of plateau pikas is directly related to the degree of grassland damage. In this study, field observation was conducted for one week in the southeastern QTP in August 2019. A rand...

Recently strong sound wave was proposed to enhance precipitation. The theoretical basis of this proposal has not been effectively studied either experimentally or theoretically. Based on the microscopic parameters of atmospheric cloud physics, this paper solved the complex nonlinear differential equation to show the movement characteristics of clou...

The concentration index (CI) based on the Lorenz curve has been widely used to analyse the temporal structure of daily precipitation. However, two different Lorenz curves may have the same CI, while indicating different distribution information of precipitation. Previous studies have proposed Lorentz asymmetry coefficient, the value of which concen...

Abstract As an important species in the Qinghai‐Tibet Plateau, the roles played by plateau pikas in grassland degradation and protection are controversial. The behavior characteristics and population density of this species are important in answering this question, but these traits have not been fully elucidated to date. Camera‐capture methods have...

Sound waves can be applied on fog elimination due to the acoustic agglomeration phenomena. However, existing studies have different understanding of the effective sound wave frequency and sound intensity for the acoustic agglomeration effect of micro-droplets. This study designs a novel microscopic experiment to visually present the growth process...

The balance between exploitation and exploration essentially determines the performance of a population-based optimization algorithm, which is also a big challenge in algorithm design. Particle swarm optimization (PSO) has strong ability in exploitation, but is relatively weak in exploration, while crow search algorithm (CSA) is characterized by si...

Plateau pikas ( Ochotona curzoniae ) are regarded as one of the main reasons for the degradation of alpine meadows in the Qinghai-Tibet Plateau (QTP). The population density of plateau pikas is directly related to the degree of grassland damage. In this study, a one-week field observation was conducted in the southeastern QTP in August 2019. Based...

Increasing the power generation and reducing the sediment deposition in a reservoir are two contradictory and incommensurable objectives. Hence, these two operational objectives rarely are considered simultaneously in reservoir optimization. This study proposes a method to balance sediment desilting and power generation in reservoirs, and to study...

Fluoride (F) contamination is widely distributed due to natural or anthropogenic causes. A series of mesoporous goethite (α-FeOOH) were synthesized by hydrothermal treatment for rapid F removal from water. The morphology of adsorbents was found to be controlled by varying the hydrothermal and calcination conditions. A highly crystallized FeOOH can...

Known as “China's Water Tower,” the Qinghai–Tibet Plateau (QTP) becomes warm and humid in the short term but faces drought in the long term because of global climate change. Atmospheric water resources seem to be the only choice in the QTP region to alleviate drought conditions. Analysis of water vapour distribution and evaluation of exploitation m...

With the inherent volatility of solar radiation, accurate short-term prediction of solar irradiance is essential to cost-efficiently stabilise and operate power grids. Cloud is the major influencing factor for variations in solar irradiance at a minute scale. This study proposes a short-term solar irradiance prediction model based on a deep learnin...

Various studies have demonstrated that the long-term flow regime plays an important role in stimulating fish spawning. The flow regime is altered by the construction and operation of reservoirs. In this study, a flow-regime identification method is proposed, which extracts the rising hydrograph processes with a certain amplitude and duration throug...

The construction and operation of large-scale reservoirs changes the flow regimes downstream, and thus has negative impact on the aquatic organisms. As an important indicator species, fish is sensitive to flow regimes, which provide stimulus for physiological activity, such as spawning and immigration. On the other hand, the grid-connected large-sc...

Microcystis aeruginosa is one of the most common algae found in eutrophicated water bodies. Alkaline phosphatase (AKP) can be produced by Microcystis aeruginosa to utilize organic phosphates under phosphorus deficiency stress, thereby AKP can be regarded as an important indicator for algal growth. Sulfur compounds are ubiquitous in waters, while in...

Determination of the factors influencing solar irradiation plays an important role in the performance of a prediction model based on machine learning techniques. This study compared the results obtained using a linear correlation analysis and stepwise regression method to identify the key meteorological, weather, and radiation factors that signific...

Study on the effect of acoustic wave on droplet collision-coalescence process is interesting and helps to better understand acoustic agglomeration mechanism. This study designs and carries out a microscopic experiment to investigate the effect of acoustic wave on wall droplet collision-coalescence process. The derived microscopic images of droplets...

The construction and operation of water conservancy projects changes the original flow regimes of rivers, and thus disturbs the habitat conditions of aquatic organisms. As an important aquatic living resource, fish is sensitive to the flow changes of the river, especially in the important periods such as spawning seasons. Existing studies indicates...

Large-scale reservoirs have played a significant role in meeting various water demands and socio-economic development, while they also lead to undeniable impacts on the environment and ecology. The Longyangxia reservoir located on the Yellow River is the first large-scale reservoir on the upper Yellow River with a control area of 18% of the entire...

Precise and reliable long-term streamflow prediction contributes to water resources planning and management. Artificial neural network (ANN) have shown its remarkable ability in forecasting non-linear hydrological processes without involvement of complex, dynamic, hydrological and hydro-climatologic physical process in the water shed. To improve it...

Various studies have proven that the flow rising processes play a significant role in the fish spawning stimulus. Instead of seizing the flow rise as an integrated process consisting of a flow rising edge and falling edge, the current publication focus on the daily flow. It is necessary to identify the effective flow rising process to learn the flo...

The construction of large-scale reservoirs alters the natural flow process downstream and inevitably affects the aquatic organism. Current studies have verified that flow regimes play an important role in fish spawning stimulus. Recovery of the flow regimes may be incompatible with the economic benefit, mainly referring to hydropower generation. In...

Although mechanical properties of a single cell as well as its mechanical response to stimulation are significant for mechanotransduction, it is difficult to quantitatively identify the viscoelasticity of a cell. This study proposes a methodology to determine the viscoelastic parameters for a single cell combining flow chamber experiment and fluid-...

Artificial neural network (ANN) combined with signal decomposing methods is effective for long ‐term streamflow time series forecasting. ANN is a kind of machine learning methods utilized widely for streamflow time series recently, and performs well in forecasting non‐stationary time series without the need of physical analysis for complex and dyna...

Hydropower can be an ideal compensation for fluctuant photovoltaic (PV) power due to its flexibility. In this study, a multiobjective optimization model considering energy generation and consumption simultaneously for a hydro‐PV hybrid power system is proposed. With the daily mean radiation intensity and temperature, the PV power output is calculat...

Long-term streamflow forecast is of great significance for water resource application and management. However, accurate monthly streamflow forecasting is challenging due to its non-stationarity and uncertainty. Time series analysis methods have been proved to perform well in stationary time series forecasting, which can be derived from decompositio...

Solar radiation prediction is significant for solar energy utilization. This paper presents hybrid methods following the decomposition-prediction-reconfiguration paradigm using only historical radiation records with different combination of decomposition methods, Ensemble Empirical Mode Decomposition (EEMD) and Wavelet Analysis (WA), and the reconf...

Long-term prediction of solar radiation intensity plays an important role in the planning and design of photovoltaic power stations. Unlike previous research on solar radiation prediction requiring various meteorological and topographic data, this study proposed a rolling prediction model combining Empirical Mode Decomposition (EMD) and Artificial...

To alleviate the water resources shortage in arid or semi-arid area, various water transfer projects have been constructed and put into operation over the last few decades. Apart from the available water, the allocation scheme also determines whether the water demands alongside can be satisfied well. Different from traditional evaluation without co...

With the rapid economic growth in China, a large number of hydropower projects have been planned and constructed. The sediment deposition of the reservoirs is one of the most important disputes during the construction and operation, because there are many heavy sediment-laden rivers. The analysis and prediction of the runoff and sediment into a res...

Mechanical properties of a single cell and its mechanical response under stimulation play an important role in regulating interactions between cell and extracellular matrix and affecting mechanotransduction. Osteocytes exhibit solid-like viscoelastic behavior in response to the interstitial fluid shear resulting from tissue matrix deformation. This...

Reservoir sedimentation and its effect on the environment are the most serious world-wide problems in water resources development and utilization today. As one of the largest water conservancy projects, the Three Gorges Reservoir (TGR) has been controversial since its demonstration period, and sedimentation is the major concern. Due to the complex...

Evidence from ecological studies has suggested that alteration of river flows downstream of reservoirs can threaten native aquatic ecosystems. The Three Gorges Reservoir has been controversial since its design and construction stage, and the ecological damage downstream is an important concern. However, protecting long-term health of the river ecos...

To maximize annual power generation and to improve firm power are important but competing goals for hydropower stations. The firm power output is decisive for the installed capacity in design, and represents the reliability of the power generation when the power plant is put into operation. To improve the firm power, the whole generation process ne...

Microscopic images of curvilinear fibre network structure like cytoskeleton are traditionally analysed by qualitative observation, which can hardly provide quantitative information of their morphological properties. However, such information is crucially contributive to the understanding of important biological events, even helps to learn about the...

A hierarchical optimization method is presented for an assessment of the potential maximum energy output of the Three Gorges Project and Gezhouba cascade hydropower stations in China. The optimization incorporates a detailed description of daily load dispatching among different types of hydropower units. The optimization method is divided into thre...

Inflow uncertainty causes a great difficulty in reservoir operation. In this paper, a method of modeling a response surface for reservoir operation optimization is proposed using radial basis function (RBF). This surface is used to represent the relationship among inflow, reservoir state (stage or storage) and optimal flow release, incorporating th...

A new approach for optimization of long-term operation of large-scale reservoirs is presented, incorporating Incremental Dynamic Programming (IDP) and Genetic algorithm (GA) . The immense storage capacity of the large scale reservoirs enlarges feasible region of the operational decision variables, which leads to invalidation of traditional random h...

In this paper, a model combining Scenarios Optimization (SO) and Surrogate Model (SM) using Radial basis Function (RBF) SOSM is developed for reservoir operation optimization. In order to incorporate the inflow uncertainties in optimal operation policies, different inflow scenarios are generated with conditional probability on historical data first...

The complexity of the operation of the Three Gorges-Gezhouba cascade hydropower stations lies in not only the enormous unit installed capacity, but also the range of different characteristics from different types of hydropower generating units. The system has two reservoirs and the generation system consists of 47 power generating units. These unit...