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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.
Jiachao Chen; Zhaoli Wang; Xushu Wu; Chengguang Lai; Xiaohong Chen. Evaluation of TMPA 3B42-V7 Product on Extreme Precipitation Estimates. Remote Sensing 2021, 13, 209 .
AMA StyleJiachao Chen, Zhaoli Wang, Xushu Wu, Chengguang Lai, Xiaohong Chen. Evaluation of TMPA 3B42-V7 Product on Extreme Precipitation Estimates. Remote Sensing. 2021; 13 (2):209.
Chicago/Turabian StyleJiachao Chen; Zhaoli Wang; Xushu Wu; Chengguang Lai; Xiaohong Chen. 2021. "Evaluation of TMPA 3B42-V7 Product on Extreme Precipitation Estimates." Remote Sensing 13, no. 2: 209.
In recent decades, the severe drought across agricultural regions of China has had significant impact on agriculture. The standardized precipitation evapotranspiration index (SPEI) has been widely used for drought analyses; however, SPEI is prone to be affected by potential evapotranspiration (PET). We thus examined the correlations between soil moisture anomalies and the SPEI calculated by the Thornthwaite, Hargreaves, and Penman–Monteith (PM) equations to select the most suitable for drought research. Additionally, the Mann–Kendall and wavelet analysis were used to investigate drought trends and to analyze and the impact of atmospheric circulation on drought in China from 1961 to 2018. The results showed that (1) PET obtained from the PM equation is the most suitable for SPEI calculation; (2) there were significant wetting trends in Northern China and the whole Chinese mainland and most of the wetting mutation points occurred in the 1970s and 1980s and the significant inter-annual oscillations period in the Chinese mainland was 2–4 years; (3) the Chinese mainland and Northern China are strongly influenced by West Pacific Trade Wind, while Western Pacific Subtropical High Intensity and Pacific Subtropical High Area have primary impact on Southern China.
Haowei Sun; Haiying Hu; Zhaoli Wang; Chengguang Lai. Temporal Variability of Drought in Nine Agricultural Regions of China and the Influence of Atmospheric Circulation. Atmosphere 2020, 11, 990 .
AMA StyleHaowei Sun, Haiying Hu, Zhaoli Wang, Chengguang Lai. Temporal Variability of Drought in Nine Agricultural Regions of China and the Influence of Atmospheric Circulation. Atmosphere. 2020; 11 (9):990.
Chicago/Turabian StyleHaowei Sun; Haiying Hu; Zhaoli Wang; Chengguang Lai. 2020. "Temporal Variability of Drought in Nine Agricultural Regions of China and the Influence of Atmospheric Circulation." Atmosphere 11, no. 9: 990.
Anthropogenic activities have a tremendous impact on water ecosystems worldwide, especially in China. To quantitatively evaluate the hydrological alteration connected with aquatic lives and river ecological risks, we took the Beijiang River located in South China as the case study and used ecosurplus (defined as ecological carrying capacity exceeding ecological consumption)/ecodeficit (defined as ecological consumption exceeding carrying capacity) and Indicators of Hydrological Alterations to evaluate hydrological changes. The Ecologically Relevant Hydrologic Indicators were employed to select the key indices of Indicators of Hydrological Alterations, and the eco-environmental water demand calculation provide an effective way for the reservoir operation. Results showed that: (1) High flows contributed more to the ecodeficit, while low flows contributed more to the ecosurplus; (2) the ecodeficit in some parts of the river basin might exceed the ecosurplus after reservoir construction, especially along the main stream; and (3) the determination of eco-environmental water demand is a feasible way for improving the environment by controlling reservoirs. The current study can help guide the optimization of hydrological operation in the basin toward making the ecosystem healthier and has potential to further provide a reference for other basins in terms of hydrological alterations driven by anthropogenic activities.
Jiakai Du; Xushu Wu; Zhaoli Wang; Jun Li; Xiaohong Chen. Reservoir-Induced Hydrological Alterations Using Ecologically Related Hydrologic Metrics: Case Study in the Beijiang River, China. Water 2020, 12, 2008 .
AMA StyleJiakai Du, Xushu Wu, Zhaoli Wang, Jun Li, Xiaohong Chen. Reservoir-Induced Hydrological Alterations Using Ecologically Related Hydrologic Metrics: Case Study in the Beijiang River, China. Water. 2020; 12 (7):2008.
Chicago/Turabian StyleJiakai Du; Xushu Wu; Zhaoli Wang; Jun Li; Xiaohong Chen. 2020. "Reservoir-Induced Hydrological Alterations Using Ecologically Related Hydrologic Metrics: Case Study in the Beijiang River, China." Water 12, no. 7: 2008.
Extreme precipitation can cause disasters such as floods, landslides and crop destruction. A further study on extreme precipitation is essential for enabling reliable projections of future changes. In this study, the trends and frequency distribution changes in extreme precipitation across different major river basins around the world during 1960–2011 were examined based on two of the latest observational data sets respectively collected from 110,000 and 26,592 global meteorological stations. The results showed that approximately a quarter of basins have experienced statistically significant increase in maximum consecutive one-day, three-day and five-day precipitation (RX1day, RX3day and RX5day, respectively). In particular, dramatic increases were found in the recent decade for the Syr Darya River basin (SDR) and Amu Darya River basin (ADR) in the Middle East, while a decrease in RX3day and RX5day were seen over the Amur River basin in East Asia. One third of basins showed remarkable changes in frequency distributions of the three indices, and in most cases the distributions shifted toward larger amounts of extreme precipitation. Relative to the subperiod of 1960–1984, wider range of the three indices over SDR and ADR were detected for 1985–2011, indicating intensification along with larger fluctuations of extreme precipitation. However, some basins have frequency distributions shifting toward smaller amounts of RX3day and RX5day, such as the Columbia River basin and the Yellow River basin. The study has potential to provide the most up-to-date and comprehensive global picture of extreme precipitation, which help guide wiser public policies in future to mitigate the effects of these changes across global river basins.
Xin Feng; Zhaoli Wang; Xushu Wu; Jiabo Yin; Shuni Qian; Jie Zhan. Changes in Extreme Precipitation across 30 Global River Basins. Water 2020, 12, 1527 .
AMA StyleXin Feng, Zhaoli Wang, Xushu Wu, Jiabo Yin, Shuni Qian, Jie Zhan. Changes in Extreme Precipitation across 30 Global River Basins. Water. 2020; 12 (6):1527.
Chicago/Turabian StyleXin Feng; Zhaoli Wang; Xushu Wu; Jiabo Yin; Shuni Qian; Jie Zhan. 2020. "Changes in Extreme Precipitation across 30 Global River Basins." Water 12, no. 6: 1527.
Anthropogenic activities have had a great impact on the characteristics of runoff and sediment load along the Pearl River in China in recent decades. We investigated the spatiotemporal variations, including the trends, abrupt changes, and periodicities of annual runoff and sediment load in the Pearl River by using the datasets from nine hydrological stations for the period of 1953–2017. We found that annual runoff was stable during the study period, with only two stations in the upper reach showing decreasing trends. Annual sediment load has generally experienced a significant decreasing trend, while one of the stations in the middle reach showed an opposite trend due to severe rocky desertification and soil erosion in the local karst terrain. Abrupt changes in sediment load were mainly between the 1990s and 2000s, when many hydraulic projects were conducted, implying the significant impact of anthropogenic activities on river sediment load. Results also indicate 2–4 year and 4–8 year periodicities in both annual runoff and sediment load, with long periodicities less significant than the short ones. Our study is conducive to water and soil resource management in the Pearl River basin, whilst provides a guide for other basins, particularly those characterized by karst terrains where local desertification and soil erosion might likewise cause increase in river sediment load.
Huanyang Zhou; Zhaoli Wang; Xushu Wu; Yuhong Chen; Yixuan Zhong; Zejun Li; Shenglian Guo. Spatiotemporal Variation of Annual Runoff and Sediment Load in the Pearl River during 1953–2017. Sustainability 2019, 11, 5007 .
AMA StyleHuanyang Zhou, Zhaoli Wang, Xushu Wu, Yuhong Chen, Yixuan Zhong, Zejun Li, Shenglian Guo. Spatiotemporal Variation of Annual Runoff and Sediment Load in the Pearl River during 1953–2017. Sustainability. 2019; 11 (18):5007.
Chicago/Turabian StyleHuanyang Zhou; Zhaoli Wang; Xushu Wu; Yuhong Chen; Yixuan Zhong; Zejun Li; Shenglian Guo. 2019. "Spatiotemporal Variation of Annual Runoff and Sediment Load in the Pearl River during 1953–2017." Sustainability 11, no. 18: 5007.
With a high spatial resolution and wide coverage, satellite-based precipitation products have compensated for the shortcomings of traditional measuring methods based on rain gauge stations, such as the sparse and uneven distribution of rain gauge stations. However, the accuracy of satellite precipitation products is not high enough in some areas, and the causes of their errors are complicated. In order to better calibrate and apply the product’s data, relevant research on this kind of product is required. Accordingly, this study investigated the spatial error distribution and spatial influence factors of the Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA) post-process 3B42V7 (hereafter abbreviated as 3B42V7) data over mainland China. This study calculated accuracy indicators based on the 3B42V7 data and daily precipitation data from 797 rain gauge stations across mainland China over the time range of 1998–2012. Then, a clustering analysis was conducted based on the accuracy indicators. Moreover, the geographical detector (GD) was used to perform the error cause analysis of the 3B42V7. The main findings of this study are the following. (1) Within mainland China, the 3B42V7 data accuracy decreased gradually from the southeast coast to the northwest inland, and shows a similar distribution for precipitation. High values of systematic error (>1.0) is mainly concentrated in the southwest Tibetan Plateau, while high values of random error (>1.0) are mainly concentrated around the Tarim Basin. (2) Mainland China can be divided into three areas by the spectral clustering method. It is recommended that the 3B42V7 can be effectively used in Area I, while in Area III the product should be calibrated before use, and the product in Area II can be used after an applicability study. (3) The GD result shows that precipitation is the most important spatial factor among the seven factors influencing the spatial error distribution of the 3B42V7 data. The relationships between spatial factors are synergistic rather than individual when influencing the product’s accuracy.
Zifeng Deng; Zhaoli Wang; Chengguang Lai. Spatial Error Distribution and Error Cause Analysis of TMPA-3B42V7 Satellite-Based Precipitation Products over Mainland China. Water 2019, 11, 1435 .
AMA StyleZifeng Deng, Zhaoli Wang, Chengguang Lai. Spatial Error Distribution and Error Cause Analysis of TMPA-3B42V7 Satellite-Based Precipitation Products over Mainland China. Water. 2019; 11 (7):1435.
Chicago/Turabian StyleZifeng Deng; Zhaoli Wang; Chengguang Lai. 2019. "Spatial Error Distribution and Error Cause Analysis of TMPA-3B42V7 Satellite-Based Precipitation Products over Mainland China." Water 11, no. 7: 1435.
Understanding the trend characteristics of design rainstorm and spatial heterogeneity of extreme precipitation is of great importance to reduce disasters induced by rare extreme precipitation. Using a high-resolution (0.5° × 0.5°) daily gridded data set of precipitation across mainland China from 1961 to 2013, this study investigated the historical changing trend and spatial heterogeneity of design rainstorm using the 30-year moving window method (30YM). Differences in the quantification of the design rainstorm were compared for the use of the 30YM and the 30-year-based increasing window method (30YBI). The results show that a significant increasing intensity but no spatially uniform trend of design rainstorm can be observed across mainland China based on the 30YM analysis. The south, east, and northeast China mainly showed an increasing trend, but the southwest and north China presented a decreasing trend. The spatial heterogeneity of the design rainstorm was greatly enhanced if the nonstationarity assumption was adopted on the national scale. The heterogeneity showed an increasing trend mainly in southeast, north, northeast, and northwest China, and a decreasing trend in southwest and west China, indicating significant regional variation in spatial heterogeneity. For most areas of mainland China, especially for southeastern, northeastern, and western China, use of the most recent precipitation sub-series to quantify the design rainstorm may weaken the potential nonstationarity and guarantee the safety of infrastructure in these areas where design rainfall increases.
Zhaoyang Zeng; Chengguang Lai; Zhaoli Wang; Xiaohong Chen; Zhenxing Zhang; Xiangju Cheng. Intensity and spatial heterogeneity of design rainstorm under nonstationarity and stationarity hypothesis across mainland China. Theoretical and Applied Climatology 2019, 138, 1795 -1808.
AMA StyleZhaoyang Zeng, Chengguang Lai, Zhaoli Wang, Xiaohong Chen, Zhenxing Zhang, Xiangju Cheng. Intensity and spatial heterogeneity of design rainstorm under nonstationarity and stationarity hypothesis across mainland China. Theoretical and Applied Climatology. 2019; 138 (3-4):1795-1808.
Chicago/Turabian StyleZhaoyang Zeng; Chengguang Lai; Zhaoli Wang; Xiaohong Chen; Zhenxing Zhang; Xiangju Cheng. 2019. "Intensity and spatial heterogeneity of design rainstorm under nonstationarity and stationarity hypothesis across mainland China." Theoretical and Applied Climatology 138, no. 3-4: 1795-1808.
Evapotranspiration is a vital component of the land surface process, thus, a more accurate estimate of evapotranspiration is of great significance to agricultural production, research on climate change, and other activities. In order to explore the spatiotemporal variation of evapotranspiration under global climate change in the Pearl River Basin (PRB), in China, this study conducted a simulation of actual evapotranspiration (ETa) during 1960–2014 based on the variable infiltration capacity (VIC) model with a high spatial resolution of 0.05°. The nonparametric Mann–Kendall (M–K) test and partial correlation analysis were used to examine the trends of ETa. The dominant climatic factors impacting on ETa were also examined. The results reveal that the annual ETa across the whole basin exhibited a slight but not significant increasing trend during the 1960–2014 period, whereas a significant decreasing trend was found during the 1960–1992 period. At the seasonal scale, the ETa showed a significant upward trend in summer and a significant downward trend in autumn. At the spatial scale, the ETa generally showed a decreasing, but not significant, trend in the middle and upper stream of the PRB, while in the downstream areas, especially in the Pearl River Delta and Dongjiang River Basin, it exhibited a significant increasing trend. The variation of the ETa was mainly associated with sunshine hours and average air pressure. The negative trend of the ETa in the PRB before 1992 may be due to the significant decrease in sunshine hours, while the increasing trend of the ETa after 1992 may be due to the recovery of sunshine hours and the significant decrease of air pressure. Additionally, we found that the “paradox” phenomenon detected by ETa mainly existed in the middle-upper area of the PRB during the period of 1960–1992.
Weizhi Gao; Zhaoli Wang; Guoru Huang. Spatiotemporal Variability of Actual Evapotranspiration and the Dominant Climatic Factors in the Pearl River Basin, China. Atmosphere 2019, 10, 340 .
AMA StyleWeizhi Gao, Zhaoli Wang, Guoru Huang. Spatiotemporal Variability of Actual Evapotranspiration and the Dominant Climatic Factors in the Pearl River Basin, China. Atmosphere. 2019; 10 (6):340.
Chicago/Turabian StyleWeizhi Gao; Zhaoli Wang; Guoru Huang. 2019. "Spatiotemporal Variability of Actual Evapotranspiration and the Dominant Climatic Factors in the Pearl River Basin, China." Atmosphere 10, no. 6: 340.
This study mainly evaluated and compared satellite-based quantitative precipitation estimate products (QPEs) for the drought monitoring of mainland China. Two long-term (more than 30 a) satellite-based QPEs, i.e. the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) and the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), and a short-term (18a) QPE, i.e. the Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA) 3B42V7 are considered. Two widely used drought indices, the Standardized Precipitation Index (SPI) and the Palmer Drought Severity Index (PDSI), are chosen to evaluate the drought monitoring utility. The 3B42V7 was only evaluated with PDSI due to the short data records. The results show that all the three QPEs perform satisfactorily in the eastern part of China when using both SPI and PDSI. However, their performances for west China could not be clearly determined due to the sparse gauge networks. 3B42V7 features best performance among the three QPEs in the evaluation using PDSI. To further spatiotemporally evaluate the drought utility of the QPEs, four typical drought-affected regions, i.e. northeast China (NEC), Huang-Huai-Hai plain (3HP), southwest China (SWC), and Loess plateau (LP) were extracted from mainland China for specific case studies. Temporally, all three QPEs are able to detect the typical drought of the four regions with both SPI and PDSI, and 3B42V7 presents the least deviation in PDSI estimate. Spatially, both CHIRPS and 3B42V7 accurately catch the spatial centers and extent of the typical drought events, while PERSIANN-CDR could not match the spatial patterns of drought events well. Generally, the long-term PERSIANN-CDR and CHIRPS perform satisfactorily in drought detection and are suitable for drought utility; however, caution should be applied when studying the spatial variation of drought using PERSIANN-CDR. CHIRPS could also be suitable for near-real-time drought monitoring for its shorter time latency of data release. The short-term 3B42V7 also performs well in many cases, and has thus considerable potential for drought monitoring.
Ruida Zhong; Xiaohong Chen; Chengguang Lai; Zhaoli Wang; Yanqing Lian; Haijun Yu; Xiaoqing Wu. Drought monitoring utility of satellite-based precipitation products across mainland China. Journal of Hydrology 2018, 568, 343 -359.
AMA StyleRuida Zhong, Xiaohong Chen, Chengguang Lai, Zhaoli Wang, Yanqing Lian, Haijun Yu, Xiaoqing Wu. Drought monitoring utility of satellite-based precipitation products across mainland China. Journal of Hydrology. 2018; 568 ():343-359.
Chicago/Turabian StyleRuida Zhong; Xiaohong Chen; Chengguang Lai; Zhaoli Wang; Yanqing Lian; Haijun Yu; Xiaoqing Wu. 2018. "Drought monitoring utility of satellite-based precipitation products across mainland China." Journal of Hydrology 568, no. : 343-359.
Terrestrial net primary productivity (NPP) plays an essential role in the global carbon cycle as well as for climate change. However, in the past three decades, terrestrial ecosystems across mainland China suffered from frequent drought and, to date, the adverse impacts on NPP remain uncertain. This study explored the spatiotemporal features of NPP and discussed the influences of drought on NPP across mainland China from 1982 to 2015 using the Carnegie Ames Stanford Application (CASA) model and the standardized precipitation evapotranspiration index (SPEI). The obtained results indicate that: (1) The total annual NPP across mainland China showed an non-significantly increasing trend from 1982 to 2015, with annual increase of 0.025 Pg C; the spring NPP exhibited a significant increasing trend (0.031 Pg C year−1, p < 0.05) while the summer NPP showed a higher decreasing trend (0.019 Pg C year−1). (2) Most areas of mainland China were spatially dominated by a positive correlation between annual NPP and SPEI and a significant positive correlation was mainly observed for Northern China; specific to the nine sub-regions, annual NPP and SPEI shared similar temporal patterns with a significant positive relation in Northeastern China, Huang-Huai-Hai, Inner Mongolia, and the Gan-Xin Region. (3) During the five typical drought events, more than 23% areas of mainland China experienced drought ravage; the drought events generally caused about 30% of the NPP reduction in most of the sub-regions while the NPP in the Qinghai-Tibet Plateau Region generally decreased by about 10%.
Chengguang Lai; Jun Li; Zhaoli Wang; Xiaoqing Wu; Zhaoyang Zeng; Xiaohong Chen; Yanqing Lian; Haijun Yu; Peng Wang; Xiaoyan Bai. Drought-Induced Reduction in Net Primary Productivity across Mainland China from 1982 to 2015. Remote Sensing 2018, 10, 1433 .
AMA StyleChengguang Lai, Jun Li, Zhaoli Wang, Xiaoqing Wu, Zhaoyang Zeng, Xiaohong Chen, Yanqing Lian, Haijun Yu, Peng Wang, Xiaoyan Bai. Drought-Induced Reduction in Net Primary Productivity across Mainland China from 1982 to 2015. Remote Sensing. 2018; 10 (9):1433.
Chicago/Turabian StyleChengguang Lai; Jun Li; Zhaoli Wang; Xiaoqing Wu; Zhaoyang Zeng; Xiaohong Chen; Yanqing Lian; Haijun Yu; Peng Wang; Xiaoyan Bai. 2018. "Drought-Induced Reduction in Net Primary Productivity across Mainland China from 1982 to 2015." Remote Sensing 10, no. 9: 1433.
Long-term (over 30a) satellite-based quantitative rainfall estimate (SRE) products provide an ideal data source for hydrological drought monitoring. This study mainly explores the suitability of the two long-term SREs, the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) and the Climate Hazards Group (CHG) Infrared Precipitation with Stations (CHIRPS), for hydrological drought monitoring. A hydrological drought index called the standardized streamflow index (SSI) was used as an example and the Grid-based Xinanjiang (GXAJ) hydrological model was used for streamflow generation of the SREs. A middle size basin in the humid region of south China was selected as case study. The obtained results show that both SREs present acceptable performances for hydrological modeling, and CHIRPS outperformed PERSIANN-CDR. SSIs calculated by the SRE simulations generally fit well with the trend of observation-based on SSI but apparent deviations in drought intensity were also found. In contrast to hydrological modeling, performance of the SRE-based SSI showed almost no change after model recalibration. Both SREs generally present acceptable classification accuracy but tended to underestimate the levels of drought types. Both SREs accurately captured the beginning, end, and duration of this drought event; however, several deviations were found in severity and intensity estimation of the drought event. In general, both SREs are suitable for hydrological drought monitoring. Although the CHIRPS generally presented better performance, the PERSIANN-CDR is still adequate for hydrological drought monitoring.
Chengguang Lai; Ruida Zhong; Zhaoli Wang; Xiaoqing Wu; Xiaohong Chen; Peng Wang; Yanqing Lian. Monitoring hydrological drought using long-term satellite-based precipitation data. Science of The Total Environment 2018, 649, 1198 -1208.
AMA StyleChengguang Lai, Ruida Zhong, Zhaoli Wang, Xiaoqing Wu, Xiaohong Chen, Peng Wang, Yanqing Lian. Monitoring hydrological drought using long-term satellite-based precipitation data. Science of The Total Environment. 2018; 649 ():1198-1208.
Chicago/Turabian StyleChengguang Lai; Ruida Zhong; Zhaoli Wang; Xiaoqing Wu; Xiaohong Chen; Peng Wang; Yanqing Lian. 2018. "Monitoring hydrological drought using long-term satellite-based precipitation data." Science of The Total Environment 649, no. : 1198-1208.
Climate change and human activity are typically regarded as the two most important factors affecting runoff. Quantitative evaluation of the impact of climate change and human activity on runoff is important for the protection, planning, and management of water resources. This study assesses the contributions of climate change and human activity to runoff change in the Dongjiang River basin from 1960 to 2005 by using linear regression, the Soil and Water Assessment Tool (SWAT) hydrologic model, and the climate elasticity method. Results indicate that the annual temperature in the basin significantly increased, whereas the pan evaporation in the basin significantly decreased (95%). The natural period ranged from 1960 to 1990, and the affected period ranged from 1991 to 2005. The percentage of urban area during the natural period, which was 1.94, increased to 4.79 during the affected period. SWAT modeling of the Dongjiang River basin exhibited a reasonable and reliable performance. The impacts induced by human activity on runoff change were as follows: 39% in the upstream area, 13% in the midstream area, 77% in the downstream area, and 42% in the entire basin. The impacts of human activity on runoff change were greater in the downstream area than in either upstream and midstream areas. However, the contribution of climate change (58%) is slightly larger than that of human activity (42%) in the whole basin.
Yuliang Zhou; Chengguang Lai; Zhaoli Wang; Xiaohong Chen; Zhaoyang Zeng; Jiachao Chen; Xiaoyan Bai. Quantitative Evaluation of the Impact of Climate Change and Human Activity on Runoff Change in the Dongjiang River Basin, China. Water 2018, 10, 571 .
AMA StyleYuliang Zhou, Chengguang Lai, Zhaoli Wang, Xiaohong Chen, Zhaoyang Zeng, Jiachao Chen, Xiaoyan Bai. Quantitative Evaluation of the Impact of Climate Change and Human Activity on Runoff Change in the Dongjiang River Basin, China. Water. 2018; 10 (5):571.
Chicago/Turabian StyleYuliang Zhou; Chengguang Lai; Zhaoli Wang; Xiaohong Chen; Zhaoyang Zeng; Jiachao Chen; Xiaoyan Bai. 2018. "Quantitative Evaluation of the Impact of Climate Change and Human Activity on Runoff Change in the Dongjiang River Basin, China." Water 10, no. 5: 571.
Climate and land use/cover (LUC) are the two most significant factors that directly affect the runoff process. However, most research on runoff response has focused mainly on projected climate variation, while future LUC variability has been neglected. Therefore, the objective of this study is to examine the impacts of projected climate and LUC changes on runoff. Future climate scenarios are projected using the Quantile Mapping (QM) method, and future LUC scenarios are predicted with the Cellular Automaton-Markov (CA-Markov) model. Three different scenarios are simulated and compared to evaluate their impacts: Scenario 1 (LUC of 2010 and climate during the 2011–2050 period, abbreviated S1), Scenario 2 (LUC of 2010, 2020, 2030, 2040 and 2050 and climate of the historical wet year, normal year and dry year, abbreviated S2) and Scenario 3 (LUC of 2010, 2020, 2030, 2040 and 2050 and corresponding climate projections of 2011–2020, 2021–2030, 2031–2040 and 2041–2050 period, abbreviated S3). These three scenarios are then input into the Soil and Water Assessment Tool (SWAT) model to assess runoff responses. Beijiang River Basin, located in southern China, is used in this case study. The results obtained from S1, S2 and S3 show that runoff change in this basin is mainly caused by climate change; warmer temperatures and greater precipitation increase runoff. LUC change has little influence on runoff at the whole-basin scale, but changes in runoff components are more notable in the urban area than in the natural region at the sub-watershed level. The impact of LUC change in urbanized region on runoff components differ obviously among the wet, normal and dry years, and surface runoff and groundwater are found to be more sensitive to urbanization. Runoff depth is predicted to increase in this basin under the impacts of both climate and LUC changes in the future. Climate change brings greater increase in water yield and surface runoff, whereas LUC change leads to changes in allocation between surface runoff and groundwater in the urban region.
Sihui Pan; Dedi Liu; Zhaoli Wang; Qin Zhao; Hui Zou; Yukun Hou; Pan Liu; Lihua Xiong. Runoff Responses to Climate and Land Use/Cover Changes under Future Scenarios. Water 2017, 9, 475 .
AMA StyleSihui Pan, Dedi Liu, Zhaoli Wang, Qin Zhao, Hui Zou, Yukun Hou, Pan Liu, Lihua Xiong. Runoff Responses to Climate and Land Use/Cover Changes under Future Scenarios. Water. 2017; 9 (7):475.
Chicago/Turabian StyleSihui Pan; Dedi Liu; Zhaoli Wang; Qin Zhao; Hui Zou; Yukun Hou; Pan Liu; Lihua Xiong. 2017. "Runoff Responses to Climate and Land Use/Cover Changes under Future Scenarios." Water 9, no. 7: 475.
By characterizing the patterns of temperature extremes over nine integrated agricultural regions (IARs) in China from 1961 to 2011, this study performed trend analyses on 16 extreme temperature indices using a high-resolution (0.5° × 0.5°) daily gridded dataset and the Mann-Kendall method. The results show that annually, at both daytime and nighttime, cold extremes significantly decreased but warm extremes significantly increased across all IARs. Overall, nighttimes tended to warm faster than daytimes. Diurnal temperature ranges (DTR) diminished, apart from the mid-northern Southwest China Region and the mid-Loess Plateau Region. Seasonally, DTR widely diminished across all IARs during the four seasons except for spring. Higher minimum daily minimum temperature (TNn) and maximum daily maximum temperature (TXx), in both summer and winter, were recorded for most IARs except for the Huang-Huai-Hai Region; in autumn, all IARs generally encountered higher TNn and TXx. In all seasons, warming was observed at daytime and nighttime but, again, nighttimes warmed faster than daytimes. The results also indicate a more rapid warming trend in Northern and Western China than in Southern and Eastern China, with accelerated warming at high elevations. The increases in TNn and TXx might cause a reduction in agriculture yield in spring over Northern China, while such negative impact might occur in Southern China during summer. In autumn and winter, however, the negative impact possibly occurred in most of the IARs. Moreover, increased TXx in the Pearl River Delta and Yangtze River Delta is possibly related to rapid local urbanization. Climatically, the general increase in temperature extremes across Chinese IARs may be induced by strengthened Northern Hemisphere Subtropical High or weakened Northern Hemisphere Polar Vortex.
Xushu Wu; Zhaoli Wang; Xiaowen Zhou; Chengguang Lai; Xiaohong Chen. Trends in temperature extremes over nine integrated agricultural regions in China, 1961–2011. Theoretical and Applied Climatology 2016, 129, 1279 -1294.
AMA StyleXushu Wu, Zhaoli Wang, Xiaowen Zhou, Chengguang Lai, Xiaohong Chen. Trends in temperature extremes over nine integrated agricultural regions in China, 1961–2011. Theoretical and Applied Climatology. 2016; 129 (3-4):1279-1294.
Chicago/Turabian StyleXushu Wu; Zhaoli Wang; Xiaowen Zhou; Chengguang Lai; Xiaohong Chen. 2016. "Trends in temperature extremes over nine integrated agricultural regions in China, 1961–2011." Theoretical and Applied Climatology 129, no. 3-4: 1279-1294.
As a result of global warming, the occurrences of floods have increased in frequency and severity. Flooding often occurs near rivers and low-lying areas, which makes such areas higher-risk locations. Flood-risk evaluation represents an essential analytic step in preventing floods and reducing losses. However, the uncertainty and nonlinear relation between evaluation indices and risk levels are always difficult points in the evaluation process. Fuzzy comprehensive evaluation (FCE), an effective method for solving random, fuzzy and multi-index problems, has led to progress in understanding this relation. Thus, in this study, an assessment model based on FCE is adopted to evaluate flood risk in the Dongjiang River Basin. To correct the one-sidedness of the single weighting method, a combination weight integrating subjective weight and objective weight is adopted based on game theory. The evaluation results show that high-risk areas are mainly located in regions that include unfavorable terrain, developed industries and dense population. These high-risk areas appropriately coincide with the integrated risk zoning map and inundation areas of historical floods, proving that the evaluation model is feasible and rational. The results also can be used as references for the prevention and reduction of floods and other applications in the Dongjiang River Basin.
Chengguang Lai; Xiaohong Chen; Xiaoyu Chen; Zhaoli Wang; Xushu Wu; Shiwei Zhao. A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory. Natural Hazards 2015, 77, 1243 -1259.
AMA StyleChengguang Lai, Xiaohong Chen, Xiaoyu Chen, Zhaoli Wang, Xushu Wu, Shiwei Zhao. A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory. Natural Hazards. 2015; 77 (2):1243-1259.
Chicago/Turabian StyleChengguang Lai; Xiaohong Chen; Xiaoyu Chen; Zhaoli Wang; Xushu Wu; Shiwei Zhao. 2015. "A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory." Natural Hazards 77, no. 2: 1243-1259.
Evaluation to flood disaster is very difficult due to the uncertainties and complexity of multiple related evaluation indexes. In view of building SPA model and considering the standards for grades of the ambiguity of the border, the comprehensive weight was calculated and the confidence criterion was introduced, which explores a new way of flood risk evaluation based on GIS technology. Flood risk assessment map of Beijiang River basin was acquired with SPA model. Compared with a few historical large floods, the results could better reflect the actual situation, which validates the rationality of the presented model.
Wang Zhaoli; Ma Hongliang; Lai Chengguang; Song Haijuan. Set Pair Analysis Model Based on GIS to Evaluation for Flood Damage Risk. Procedia Engineering 2012, 28, 196 -201.
AMA StyleWang Zhaoli, Ma Hongliang, Lai Chengguang, Song Haijuan. Set Pair Analysis Model Based on GIS to Evaluation for Flood Damage Risk. Procedia Engineering. 2012; 28 ():196-201.
Chicago/Turabian StyleWang Zhaoli; Ma Hongliang; Lai Chengguang; Song Haijuan. 2012. "Set Pair Analysis Model Based on GIS to Evaluation for Flood Damage Risk." Procedia Engineering 28, no. : 196-201.