Xiaohong Chen

Hubei University of Technology

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Kairong Lin

Sun Yat-sen University

Zhaoli Wang

South China University of Technology

Chengguang Lai

Guangzhou Experimental Station

Yanhu He

Guangdong University of Technology

Tongtiegang Zhao

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)

Qiang Zhang

Hubei Academy of Environmental Sciences

Bingjun Liu

Sun Yat-sen University

Ruida Zhong

Sun Yat-sen University

Xinjun Tu

Sun Yat-sen University

Jiefeng Wu

Nanjing University of Information Science and Technology

Cooperative Institutions

Sun Yat-sen University

177

Chinese Academy of Sciences

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)

University of Chinese Academy of Sciences

Ministry of Water Resources of the People's Republic of China

Hohai University

Wuhan University

South China University of Technology

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Spatial association of anomaly correlation for GCM seasonal forecasts of global precipitation

Climate Dynamics (2020)

Tongtiegang Zhao Haoling Chen Weixin Xu Huayang Cai Denghua Yan

Anomaly (physics)

Climate Forecast System

Benchmark (surveying)

Spatial correlation

10.1007/s00382-020-05384-2

Cite

Citations (11)

Evaluation of TMPA 3B42-V7 Product on Extreme Precipitation Estimates

Remote Sensing (2021)

Jiachao Chen Zhaoli Wang Xushu Wu Chengguang Lai Xiaohong Chen

Availability of precipitation data at high spatial and temporal resolution is crucial for the understanding of precipitation behaviors that are determinant for environmental aspects such as hydrology, ecology, and social aspects like agriculture, food security, or health issues. This study evaluates the performance of 3B42-V7 satellite-based precipitation product on extreme precipitation estimates in China, by using the Fuzzy C-Means algorithm and L-moment-based regional frequency analysis method. The China Gauge-based Daily Precipitation Analysis (CGDPA) product is employed to measure the estimation biases of 3B42-V7. Results show that: (1) for most regions of China, the Generalized Extreme Value and Generalized Normal distributions are preferable for extreme precipitation estimates; (2) the extreme precipitation estimations of 3B42-V7 for different return periods have a high correlation with those of CGDPA, with biases within 25% for a majority of China on extreme precipitation estimates.

10.3390/rs13020209

Cite

Citations (14)

Spatiotemporal Changes in Precipitation and Temperature in the Huaibei Plain and the Relation between Local Precipitation and Global Teleconnection Patterns

Journal of Hydrologic Engineering (2019)

Sichun Chen Bensheng Huang Feifei Yuan Ronny Berndtsson Jing Qiu

The Huaibei Plain is one of the most severe water scarcity areas in China. Understanding of hydroclimatic variation in this area at different timescales and its relationship with global teleconnection patterns are important for assessment of water resources utilization. In this study, spatiotemporal changes of seasonal and annual precipitation and temperature, including trend, abrupt change, variability, and periodicity were examined to recognize the potential remarkable changes during the last 41 years. The relationship between precipitation in the Huaibei Plain and teleconnection patterns using climate indexes was revealed by applying singular value decomposition. Results showed a nonsignificant annual precipitation increase about 2.4 mm/year. The annual average temperature increased about 1.2°C during 1970–2010. The abrupt change of annual precipitation mainly occurred during the 1970s and 1980s, while the primary mutation points for temperature were detected in 1990s, especially in 1997. The mean areal precipitation is characterized by a statistically significant 2- to 4-year periodicity at different phases, and the 2- to 5-year band is the major cycle for annual average temperature in this region. A statistically strong 5- to 8-year periodicity for precipitation could be detected from the middle of the 1980s to the end of the 1990s. Precipitation has positive correlation with the West Pacific Pattern and El Nino Southern Oscillation. The investigated results might have considerable implications for managing water resources in the Huaibei Plain.

Teleconnection

Annual cycle

10.1061/(asce)he.1943-5584.0001790

Cite

Citations (2)

The statistical significance test of regional climate change caused by land use and land cover variation in West China

Advances in Atmospheric Sciences (2006)

Wang Hanjie Weilai Shi Xiaohong Chen

Land Cover

10.1007/s00376-006-0355-0

Cite

Citations (7)

Landscape Pattern Changes of Aquatic Vegetation Communities and Their Response to Hydrological Processes in Poyang Lake, China

Water (2024)

Zhengtao Zhu Huilin Wang Zhonghua Yang Wenxin Huai Dong Huang

Hydrology is an important environmental factor for the evolution of wetland landscape patterns. In the past 20 years, Poyang Lake, the largest freshwater lake in China, has experienced significant inundation shrinkage and water level decrease, posing a significant threat to the local vegetation community. To explore the potential relationship between aquatic vegetation and hydrological processes in the recent hydrological situation, in this study, the landscape patterns of aquatic vegetation communities in Poyang Lake were studied using time-series Landsat remote sensing images and a support vector machine classifier. The stepwise regression analysis method was adopted to analyze the relationship between the vegetation area and hydrological factors. The results indicated that the area of submerged and emergent vegetation in the entire lake decreased significantly from 2001 to 2017, whereas the area of moist vegetation showed a remarkably increasing trend. The average distribution elevation of the submerged vegetation increased by 0.06 m per year. The corresponding landscape patterns showed that the degree of fragmentation of aquatic vegetation communities in Poyang Lake increased. Several hydrological factors were selected to quantify the potential impact of water level fluctuations. The correlation analysis results indicated that hydrological conditions during the rising- and high-water periods may be the key factors affecting the area of aquatic vegetation. This study systematically investigated the evolution of vegetation communities in Poyang Lake wetlands over the past two decades, which contributes to the protection and management of this unique ecosystem.

10.3390/w16111482

Cite

Citations (3)

Spatiotemporal analysis of water resources system vulnerability in the Lancang River Basin, China

Journal of Hydrology (2021)

Zihan Gui Xiaohong Chen Yanhu He

Vulnerability

10.1016/j.jhydrol.2021.126614

Cite

Citations (29)

Spatial patterns of short‐term extreme precipitation and their causes

Hydrological Processes (2024)

Daxing Zuo Chun‐Yi Wu Lichuan Wu Yanhui Zheng Xiaohong Chen

Abstract The spatial distribution of extreme precipitation significantly affects flow‐producing processes and flooding. Previous studies on heavy rainfall have mainly emphasized the temporal distribution characteristics, with little emphasis on rainfall spatial patterns. We objectively classified 3‐h scale extreme precipitation spatial patterns (EPSPs) in Guangdong Province, China. We calculated the importance of the influencing factors on EPSPs, analysed weather backgrounds corresponding to various EPSPs, and explained the causes of extreme precipitation. We found that the incidence of most EPSPs increased significantly over this 40‐year period, and this increase has been particularly pronounced since the beginning of the 21st century. The Pacific Decadal Oscillation (PDO) was found to be the main factor influencing the extreme precipitation events (EPEs) in western Guangdong, and the weakening of the PDO contributed to the occurrence of EPEs in these areas. Urbanization was the main factor contributing to the increase in EPEs in the southern and coastal areas of Guangdong. The EPSPs in central Guangdong were caused by a southwest jet stream and topographic uplift. Extreme precipitation in southern and coastal Guangdong was mainly triggered by the convergent shear of southwesterly winds. The EPSPs over western Guangdong were caused by the low vortex in western Guangdong and the influx of large amounts of water vapour from the southern ocean. This study has provided new ideas for the study of the formation process and mechanism of localized heavy precipitation as well as an important reference for the simulation of runoff in coastal areas.

10.1002/hyp.15227

Cite

Citations (0)

Research on Fuzzy Cooperative Game Model of Allocation of Pollution Discharge Rights

Water (2018)

Xiaoyu Huang Xiaohong Chen Ping Huang

The allocation of pollution rights is significant to the economic development of a region, which determines the industrial structure of the region in another way. This study established an allocation model based on fuzzy coalition game theory. Formation of fuzzy coalitions between many producers in a region and reallocation of pollution discharge rights in the region through these coalitions was used to increase the total production value of the region while total pollution discharge amount is constant. At the same time, the fuzzy Shapley value method was used to allocate benefits obtained from the cooperation to the participants in various coalitions. This model was validated by its application in the case of three production bases near the Shizi channel in Dongguan city for reallocation of pollution discharge rights. Results showed that this model could increase the coalition benefits of the three production bases in this region, which observed increases of 4.28%, 7.74%, and 13.98%, respectively.

Shapley Value

Value (mathematics)

10.3390/w10050662

Cite

Citations (18)

Covariates for nonstationary modeling of extreme precipitation in the Pearl River Basin, China

Atmospheric Research (2019)

Chengjia Su Xiaohong Chen

10.1016/j.atmosres.2019.06.017

Cite

Citations (44)

Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution

Water Resources Research (2023)

Jingwen Zhang Kaiyu Guan Wang Zhou Chongya Jiang Bin Peng

Abstract Estimating irrigation water use accurately is critical for sustainable irrigation and studying terrestrial water cycle in irrigated croplands. However, irrigation is not monitored in most places, and current estimations of irrigation water use has coarse spatial and/or temporal resolutions. This study aims to estimate irrigation water use at the daily and field scale through the proposed model‐data fusion framework, which is achieved by particle filtering with two configurations (concurrent, CON, and sequential, SEQ) by assimilating satellite‐based evapotranspiration (ET) observations into an advanced agroecosystem model, ecosys . Two types of experiments using synthetic and real ET observations were conducted to study the efficacy of the proposed framework for estimating irrigation water use at the irrigated fields in eastern and western Nebraska, United States. The experiments using synthetic ET observations indicated that, for two major sources of uncertainties of ET difference between observations and model simulations, which are bias and noise, noise had larger impacts on degrading the estimation performance of irrigation water use than bias. For the experiments using real ET observations, monthly and annual estimations of irrigation water use matched well with farmer irrigation records, with Pearson correlation coefficient ( r ) around 0.80 and 0.50, respectively. Although detecting daily irrigation records was very challenging, our method still gave a good performance with RMSE, BIAS, and r around 2.90, 0.03, and 0.4 mm/d, respectively. Our proposed model‐data fusion framework for estimating irrigation water use at high spatio‐temporal resolution could contribute to regional water management, sustainable irrigation, and better tracking terrestrial water cycle.

Water use

Center pivot irrigation

10.1029/2022wr032967

Cite

Citations (7)