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Haiyun Shi
School of Environmental Science and Engineering State Environmental Protection Key Laboratory of Integrated Surface Water‐Groundwater Pollution Control Southern University of Science and Technology Shenzhen China

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Research article
Published: 06 August 2021 in Water Resources Research
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Meteorological drought is the fuse of hydrological drought, and understanding the propagation mechanisms from meteorological to hydrological drought is of great significance to the monitoring and prevention of hydrological drought. Besides the linear dependence, this study thoroughly investigated the propagation from meteorological to hydrological drought by introducing the nonlinear dependence with directed information transfer index (DITI) for the first time. In this study, the standardized precipitation index (SPI) and the standardized runoff index (SRI) were used to represent meteorological drought and hydrological drought, respectively. A new drought response time (DRT) evaluation system was constructed based on the maximum Pearson correlation coefficient (PCC) and DITI, simultaneously considering the linear and nonlinear relationships between meteorological drought and hydrological drought. Moreover, the relationships of drought characteristics (duration and severity) between these two types of drought were established by using run theory and mathematical function, and the the trigger thresholds from meteorological to hydrological drought were then determined. The results indicate that: (1) the effective drought propagation rate was mainly affected by the characteristics of meteorological drought events and the sensitivity of hydrological drought to meteorological drought; (2) the DRT in the Pearl River Basin (PRB) was mainly concentrated in 2-5 months, and the drought translation rate in the PRB was relatively large; and (3) the duration of hydrological drought events was longer in the sub-regions with smaller meteorological drought trigger thresholds.

ACS Style

Zhaoqiang Zhou; Haiyun Shi; Qiang Fu; Yibo Ding; Tianxiao Li; Suning Liu. Investigating the Propagation From Meteorological to Hydrological Drought by Introducing the Nonlinear Dependence With Directed Information Transfer Index. Water Resources Research 2021, 57, 1 .

AMA Style

Zhaoqiang Zhou, Haiyun Shi, Qiang Fu, Yibo Ding, Tianxiao Li, Suning Liu. Investigating the Propagation From Meteorological to Hydrological Drought by Introducing the Nonlinear Dependence With Directed Information Transfer Index. Water Resources Research. 2021; 57 (8):1.

Chicago/Turabian Style

Zhaoqiang Zhou; Haiyun Shi; Qiang Fu; Yibo Ding; Tianxiao Li; Suning Liu. 2021. "Investigating the Propagation From Meteorological to Hydrological Drought by Introducing the Nonlinear Dependence With Directed Information Transfer Index." Water Resources Research 57, no. 8: 1.

Journal article
Published: 18 February 2021 in Journal of Geophysical Research: Atmospheres
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Drought events occur more frequently under recent climate change. Generally, meteorological drought is the fuse of hydrological drought; thus, it is important to understand the characteristics of meteorological drought and its propagation to hydrological drought for early warning. Taking the Pearl River Basin (PRB) in China as study area, this study adopted K‐means cluster analysis method to divide the PRB into subregions with similar precipitation characteristics. Then, standardized precipitation index and standardized runoff index were used to analyze the characteristics of meteorological drought and hydrological drought, respectively, and the maximum Pearson correlation coefficient was used to determine the drought propagation time (DPT) between these two types of drought. Moreover, the link between meteorological drought and hydrological drought was explored based on continuous wavelet transform and cross wavelet transform. The results revealed that: the PRB has experienced severe meteorological and hydrological droughts since early 2000s, and hydrological drought was more serious than meteorological drought in each of the five subregions in the PRB. The DPTs from meteorological drought to hydrological drought were mainly 2–6 months, and the periodic characteristics of meteorological drought were mainly responsible for those of hydrological drought. Precipitation and runoff could greatly affect the DPT, while the impacts of evapotranspiration and shallow soil moisture on the DPT were not significant. Furthermore, El‐Niño Southern Oscillation and Pacific Decadal Oscillation are important factors that affect the DPT from meteorological to hydrological drought in the PRB.

ACS Style

Zhaoqiang Zhou; Haiyun Shi; Qiang Fu; Yibo Ding; Tianxiao Li; Yao Wang; Suning Liu. Characteristics of Propagation From Meteorological Drought to Hydrological Drought in the Pearl River Basin. Journal of Geophysical Research: Atmospheres 2021, 126, 1 .

AMA Style

Zhaoqiang Zhou, Haiyun Shi, Qiang Fu, Yibo Ding, Tianxiao Li, Yao Wang, Suning Liu. Characteristics of Propagation From Meteorological Drought to Hydrological Drought in the Pearl River Basin. Journal of Geophysical Research: Atmospheres. 2021; 126 (4):1.

Chicago/Turabian Style

Zhaoqiang Zhou; Haiyun Shi; Qiang Fu; Yibo Ding; Tianxiao Li; Yao Wang; Suning Liu. 2021. "Characteristics of Propagation From Meteorological Drought to Hydrological Drought in the Pearl River Basin." Journal of Geophysical Research: Atmospheres 126, no. 4: 1.

Journal article
Published: 16 August 2020 in Water
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This study analyzed the microphysical characteristics of stratiform and convective precipitation over an inland arid region of Qinghai–Tibet Plateau in summer for the first time. The observed precipitation data were from the OTT Parsivel2 laser raindrop spectrometer and the raindrop size distribution can be described by a gamma distribution and a general exponential distribution. The results indicate that: (1) compared to the exponential distribution, the gamma distribution is the better function with which to describe the raindrop size distribution in this region; (2) the raindrop sizes are mainly below 1 mm, and the raindrop sizes which contribute most to the rainfall intensity are below 2 mm for stratiform precipitation and convective precipitation; (3) the mean values of microphysical parameters, e.g., rainfall intensity, radar reflectivity factor, and liquid water content, are higher for convective precipitation than stratiform precipitation; and (4) the standard Z–R relationship underestimates the radar reflectivity factor in this region. Overall, the obtained results will enhance our understanding and facilitate future studies regarding the microphysical characteristics of precipitation in such regions. For example, the obtained Z–R relationship can be a reference for estimating the radar reflectivity factor in this region with higher accuracy.

ACS Style

Hongwei Xie; Peichong Pan; Haiyun Shi; Ji Chen; Jinzhao Wang. Observed Microphysical Characteristics of Stratiform and Convective Precipitation over an Inland Arid Region of the Qinghai–Tibet Plateau. Water 2020, 12, 2300 .

AMA Style

Hongwei Xie, Peichong Pan, Haiyun Shi, Ji Chen, Jinzhao Wang. Observed Microphysical Characteristics of Stratiform and Convective Precipitation over an Inland Arid Region of the Qinghai–Tibet Plateau. Water. 2020; 12 (8):2300.

Chicago/Turabian Style

Hongwei Xie; Peichong Pan; Haiyun Shi; Ji Chen; Jinzhao Wang. 2020. "Observed Microphysical Characteristics of Stratiform and Convective Precipitation over an Inland Arid Region of the Qinghai–Tibet Plateau." Water 12, no. 8: 2300.

Editorial
Published: 13 August 2020 in Hydrology
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Floods are usually highly destructive, which may cause enormous losses to lives and property. It is, therefore, important and necessary to develop effective flood early warning systems and disseminate the information to the public through various information sources, to prevent or at least mitigate the flood damages. For flood early warning, novel methods can be developed by taking advantage of the state-of-the-art techniques (e.g., ensemble forecast, numerical weather prediction, and service-oriented architecture) and data sources (e.g., social media), and such developments can offer new insights for modeling flood disasters, including facilitating more accurate forecasts, more efficient communication, and more timely evacuation. The present Special Issue aims to collect the latest methodological developments and applications in the field of flood early warning. More specifically, we collected a number of contributions dealing with: (1) an urban flash flood alert tool for megacities; (2) a copula-based bivariate flood risk assessment; and (3) an analytic hierarchy process approach to flash flood impact assessment.

ACS Style

Haiyun Shi; Erhu Du; Suning Liu; Kwok-Wing Chau. Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination and Decision-Support Systems. Hydrology 2020, 7, 56 .

AMA Style

Haiyun Shi, Erhu Du, Suning Liu, Kwok-Wing Chau. Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination and Decision-Support Systems. Hydrology. 2020; 7 (3):56.

Chicago/Turabian Style

Haiyun Shi; Erhu Du; Suning Liu; Kwok-Wing Chau. 2020. "Advances in Flood Early Warning: Ensemble Forecast, Information Dissemination and Decision-Support Systems." Hydrology 7, no. 3: 56.

Research article
Published: 11 August 2020 in Journal of Geophysical Research: Atmospheres
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Socioeconomic drought occurs when water supply from a regional water resources system cannot meet the water demands. Even if a socioeconomic drought ends, the antecedent water deficit may continue to have impacts for some time, thus influencing the resilience of a regional water resources system. To take this into account, especially under growing population and changing climate, this study develops a new method through integrating a new index, Water Resources System Resilience Index (WRSRI), into socioeconomic drought event identification. The new index represents the percentage of the antecedent water deficit for a socioeconomic drought that can be recovered from the excess water during subsequent periods through analyzing records of a historical drought event. The methodology, implemented on the East River Basin (ERB) in South China, involves three major steps: (1) calculation of WRSRI value; (2) analysis of key features of identified future socioeconomic drought events, i.e., total number (TN), longest duration (LD), and percentage on different drought levels (PDDL)); and (3) sensitivity analysis of WRSRI based on a total of 52 streamflow datasets generated from General Circulation Model (GCM) outputs and using a macro‐scale hydrologic model. The results indicate that, for each dataset, the TN decreases with an increase in WRSRI but the LD increases; moreover, for most datasets, the LD is less sensitive within the WRSRI range of [0, 0.6]. The outcomes of this study can enhance our capability in more effectively assessing the resilience of a regional water resources system, especially under changing future socioeconomic and environmental conditions.

ACS Style

Suning Liu; Haiyun Shi; Bellie Sivakumar. Socioeconomic Drought Under Growing Population and Changing Climate: A New Index Considering the Resilience of a Regional Water Resources System. Journal of Geophysical Research: Atmospheres 2020, 125, 1 .

AMA Style

Suning Liu, Haiyun Shi, Bellie Sivakumar. Socioeconomic Drought Under Growing Population and Changing Climate: A New Index Considering the Resilience of a Regional Water Resources System. Journal of Geophysical Research: Atmospheres. 2020; 125 (15):1.

Chicago/Turabian Style

Suning Liu; Haiyun Shi; Bellie Sivakumar. 2020. "Socioeconomic Drought Under Growing Population and Changing Climate: A New Index Considering the Resilience of a Regional Water Resources System." Journal of Geophysical Research: Atmospheres 125, no. 15: 1.

Journal article
Published: 29 June 2020 in Ecological Indicators
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Vegetation is an important link between water, atmosphere and land, and the growth of vegetation is an important indicator of ecosystem change. Therefore, it is essential to study the dynamic changes of vegetation and predict the vegetation dynamics. Based on the Normalized Difference Vegetation Index (NDVI) and statistical analysis (e.g., trend analysis methods and Hurst exponent), this study investigates the historical dynamic changes of vegetation in China, and the multi-regression model was used to construct a predict model from the perspective of water deficit. The future features were predicted under two representative concentration pathway (RCP4.5 and RCP8.5) scenarios from 12 Coupled Model Inter-comparison Project phase 5 (CMIP5) models. The results showed that 1) most areas (80.1%) of China showed increasing trends in the annual NDVI change during 1982–2015, and the areas showing the degradation trends were mainly found in Northeast China, North Xinjiang and the Qinghai-Tibet Plateau; 2) the prediction model constructed by precipitation and reference crop evapotranspiration (ET0) can well predict the vegetation dynamics in China; and 3) the future vegetation in China will be better than that in the past, except for some areas (e.g., the northeastern and southeastern parts of China) in spring, and the dynamic changes of vegetation under RCP8.5 scenario will be greater than that under RCP4.5 scenario. Nevertheless, in spring, vegetation degradation cannot be ignored.

ACS Style

Zhaoqiang Zhou; Yibo Ding; Haiyun Shi; Huanjie Cai; Qiang Fu; Suning Liu; Tianxiao Li. Analysis and prediction of vegetation dynamic changes in China: Past, present and future. Ecological Indicators 2020, 117, 106642 .

AMA Style

Zhaoqiang Zhou, Yibo Ding, Haiyun Shi, Huanjie Cai, Qiang Fu, Suning Liu, Tianxiao Li. Analysis and prediction of vegetation dynamic changes in China: Past, present and future. Ecological Indicators. 2020; 117 ():106642.

Chicago/Turabian Style

Zhaoqiang Zhou; Yibo Ding; Haiyun Shi; Huanjie Cai; Qiang Fu; Suning Liu; Tianxiao Li. 2020. "Analysis and prediction of vegetation dynamic changes in China: Past, present and future." Ecological Indicators 117, no. : 106642.

Journal article
Published: 05 June 2020 in Journal of Hydrology: Regional Studies
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Pearl River basin (PRB) in South China. This study aims to assess future socioeconomic drought events under a changing climate over the study region. Variable Infiltration Capacity (VIC) model is used to simulate the streamflow in the PRB during the period of 2020–2099, and 48 projected precipitation datasets from General Circulation Models (GCMs) are selected to drive the VIC model at 0.5° × 0.5° spatial resolution and daily temporal resolution. Then, the minimum in-stream water requirement (MIWR) of the PRB is determined, and trend analysis of the simulated streamflow is conducted. Socioeconomic drought index (SEDI) is used to detect the occurrence of socioeconomic drought event, and further, the impact of the reservoirs in the PRB on drought analysis is evaluated. Based on any dataset, nearly one hundred socioeconomic drought events at different severity levels can be identified in the PRB; however, most of them, especially those at severe and extreme levels, can be mitigated through reservoir operation, i.e., reserving at least 40 % of the total manageable storage capacity (TMSC) in the reservoirs. Overall, this study can improve the recognition of future socioeconomic drought events, which is of great value for our society to effectively assess the impacts of climate change and water projects on sustainable water resources utilization in such river basins.

ACS Style

Suning Liu; Haiyun Shi; Jun Niu; Ji Chen; Xingxing Kuang. Assessing future socioeconomic drought events under a changing climate over the Pearl River basin in South China. Journal of Hydrology: Regional Studies 2020, 30, 100700 .

AMA Style

Suning Liu, Haiyun Shi, Jun Niu, Ji Chen, Xingxing Kuang. Assessing future socioeconomic drought events under a changing climate over the Pearl River basin in South China. Journal of Hydrology: Regional Studies. 2020; 30 ():100700.

Chicago/Turabian Style

Suning Liu; Haiyun Shi; Jun Niu; Ji Chen; Xingxing Kuang. 2020. "Assessing future socioeconomic drought events under a changing climate over the Pearl River basin in South China." Journal of Hydrology: Regional Studies 30, no. : 100700.

Journal article
Published: 23 May 2020 in Journal of Hydrology
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It is important to investigate the potential impacts of global climate change on crop yield especially there have been limited relevant studies conducted in the cold regions such as Northeast China. This study investigated the spatiotemporal characteristics of droughts on different growth stages of maize over Northeast China during 1960–2016 and the effects of droughts on the climate-induced yield of maize separated by the logistic regression model using standardized precipitation evapotranspiration index (SPEI), trend analysis methods, rotated empirical orthogonal function, wavelet method, and Hurst exponent. The results indicated that: 1) the spatiotemporal patterns of drought were identified at different growth stages and the changes in dryness/wetness condition presented significant periodic oscillation on different time scales. 2) The patterns of dryness/wetness conditions and the changing characteristics of each sub-region at the early growth (EG) and middle growth (MG) stages were similar. 3) The future drought trends in most stations would be consistent with the past trends. In addition to the wetting trend in the eastern and southern parts at the EG stage, the whole study area would show a drying trend in future at other growth stages. 4) The cross wavelet transform (XWT) was used to develop the changing relationships between climate-induced yield of maize and the dryness/wetness condition at different growth stages with obvious inter-annual periodicities. 5) For Northeast China, climatic factors that can affect the climate-induced yield of maize are firstly temperature, next precipitation, and thirdly dryness/wetness conditions.

ACS Style

Zhaoqiang Zhou; Haiyun Shi; Qiang Fu; Tianxiao Li; Thian Yew Gan; Suning Liu. Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China. Journal of Hydrology 2020, 588, 125097 .

AMA Style

Zhaoqiang Zhou, Haiyun Shi, Qiang Fu, Tianxiao Li, Thian Yew Gan, Suning Liu. Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China. Journal of Hydrology. 2020; 588 ():125097.

Chicago/Turabian Style

Zhaoqiang Zhou; Haiyun Shi; Qiang Fu; Tianxiao Li; Thian Yew Gan; Suning Liu. 2020. "Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China." Journal of Hydrology 588, no. : 125097.

Preprint content
Published: 23 March 2020
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This study develops a recursive approach to long-term prediction of monthly precipitation using genetic programming (GP), and the study area is the Three-River Headwaters Region (TRHR) in China. The daily precipitation data recorded at 29 meteorological stations during 1961-2014 are collected, among which the data during 1961-2000 are used for calibration and the remaining data are for validation. To develop this approach, first, the preliminary estimations of annual precipitation are computed based on a statistical method. Second, the percentage of the monthly precipitation for each month of a year is calculated as the mean monthly precipitation divided by the mean annual precipitation during the study period, and then the preliminary estimation of monthly precipitation for each month of a year is obtained. Third, GP is adopted to improve the preliminary estimations through establishing the relationship of the observations with the preliminary estimations at the past and current times. The calibration and validation results reveal that the recursive approach involving GP can provide the more accurate predictions of monthly precipitation. Finally, this approach is used to predict the monthly precipitation over the TRHR till 2050.

ACS Style

Haiyun Shi; Suning Liu. A recursive approach to long-term prediction of monthly precipitation using genetic programming: case of the Three-River Headwaters Region. 2020, 1 .

AMA Style

Haiyun Shi, Suning Liu. A recursive approach to long-term prediction of monthly precipitation using genetic programming: case of the Three-River Headwaters Region. . 2020; ():1.

Chicago/Turabian Style

Haiyun Shi; Suning Liu. 2020. "A recursive approach to long-term prediction of monthly precipitation using genetic programming: case of the Three-River Headwaters Region." , no. : 1.

Journal article
Published: 17 January 2020 in Atmospheric Research
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Whether there is an obvious “hiatus” of warming at the global or regional scale is an outstanding issue, which has attracted worldwide attention. To investigate the response of temperature variation to global warming in Northeast China, it is necessary to reanalyze whether the regional warming trend has slowed down. Heilongjiang Province, located in the cold region in Northeast China, was selected as the study area. Based on the meteorological data recorded at 26 meteorological stations from 1960 to 2015, the spatiotemporal characteristics of temperature in this region were analyzed using the Mann-Kendall trend analysis, Sen's slope method and inverse distance weighting (IDW) method, and then compared with the temperature variations of the globe and mainland China. Furthermore, the cross wavelet method was applied to explore the teleconnection between temperature and large-scale climate patterns to investigate possible causes of temperature variations of this region. The results demonstrated that: 1) the spatial distribution of temperature showed latitudinal variations, and annual and seasonal temperatures showed warming trends, among which the warming trend in autumn was the most significant and the variation range in winter was the greatest. 2) In term of net temperature, global warming might have greater impacts over the central, western and northwestern parts of Heilongjiang Province. 3) Compared to the temperature variations of the globe and mainland China, hiatus phenomenon was detected in Northeast China, for there was an obvious cooling trend in spring. 4) Arctic oscillation (AO) was a key factor affecting the temperature change in this cold region and Pacific decadal oscillation (PDO) could be another closely-related climatic factor contributed to this hiatus period.

ACS Style

Zhaoqiang Zhou; Haiyun Shi; Qiang Fu; Tianxiao Li; Thian Yew Gan; Suning Liu; Kang Liu. Is the cold region in Northeast China still getting warmer under climate change impact? Atmospheric Research 2020, 237, 104864 .

AMA Style

Zhaoqiang Zhou, Haiyun Shi, Qiang Fu, Tianxiao Li, Thian Yew Gan, Suning Liu, Kang Liu. Is the cold region in Northeast China still getting warmer under climate change impact? Atmospheric Research. 2020; 237 ():104864.

Chicago/Turabian Style

Zhaoqiang Zhou; Haiyun Shi; Qiang Fu; Tianxiao Li; Thian Yew Gan; Suning Liu; Kang Liu. 2020. "Is the cold region in Northeast China still getting warmer under climate change impact?" Atmospheric Research 237, no. : 104864.

Journal article
Published: 01 January 2020 in Journal of Hydro-environment Research
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ACS Style

Haiyun Shi; Ji Chen; Tiejian Li; Guangqian Wang. A new method for estimation of spatially distributed rainfall through merging satellite observations, raingauge records, and terrain digital elevation model data. Journal of Hydro-environment Research 2020, 28, 1 -14.

AMA Style

Haiyun Shi, Ji Chen, Tiejian Li, Guangqian Wang. A new method for estimation of spatially distributed rainfall through merging satellite observations, raingauge records, and terrain digital elevation model data. Journal of Hydro-environment Research. 2020; 28 ():1-14.

Chicago/Turabian Style

Haiyun Shi; Ji Chen; Tiejian Li; Guangqian Wang. 2020. "A new method for estimation of spatially distributed rainfall through merging satellite observations, raingauge records, and terrain digital elevation model data." Journal of Hydro-environment Research 28, no. : 1-14.

Journal article
Published: 24 May 2019 in Sustainability
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The close relationship between large dams and social development (i.e., water, food, and energy consumption) has been revealed in previous studies, and the vital role of large dams in sustaining societies has been recognized. With population projections indicating continued growth during this century, it is expected that further economic development of society, e.g., Gross Domestic Product (GDP) growth, will be greatly affected by possible challenges, such as water, food, and energy shortages in the future, especially if proper planning, development, and management strategies are not adopted. In our previous study, we have argued that construction of additional large dams will be considered as one of the best available options to meet future increases in water, food, and energy demands, which are all crucial to sustain economic development. In the present study, firstly, we will emphasize the vital role of dams in promoting economic growth through analyzing the relationship between large dam development and GDP growth at both global and national scales. Secondly, based on the projection results of future large dam development, we will preliminarily predict the future economic development represented by GDP. The results show that the impacts of large dams upon GDP are more significant in countries with higher levels of socioeconomic development, which generally supports large dams as the vital factor to promote economic development.

ACS Style

Haiyun Shi; Ji Chen; Suning Liu; Bellie Sivakumar. The Role of Large Dams in Promoting Economic Development under the Pressure of Population Growth. Sustainability 2019, 11, 2965 .

AMA Style

Haiyun Shi, Ji Chen, Suning Liu, Bellie Sivakumar. The Role of Large Dams in Promoting Economic Development under the Pressure of Population Growth. Sustainability. 2019; 11 (10):2965.

Chicago/Turabian Style

Haiyun Shi; Ji Chen; Suning Liu; Bellie Sivakumar. 2019. "The Role of Large Dams in Promoting Economic Development under the Pressure of Population Growth." Sustainability 11, no. 10: 2965.

Correction
Published: 24 May 2019 in Water Resources Management
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ACS Style

Suning Liu; Haiyun Shi. Correction to: A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming. Water Resources Management 2019, 33, 2973 -2973.

AMA Style

Suning Liu, Haiyun Shi. Correction to: A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming. Water Resources Management. 2019; 33 (8):2973-2973.

Chicago/Turabian Style

Suning Liu; Haiyun Shi. 2019. "Correction to: A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming." Water Resources Management 33, no. 8: 2973-2973.

Journal article
Published: 01 April 2019 in Journal of Hydrology
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ACS Style

Keyi Wang; Haiyun Shi; Ji Chen; Tiejian Li. An improved operation-based reservoir scheme integrated with Variable Infiltration Capacity model for multiyear and multipurpose reservoirs. Journal of Hydrology 2019, 571, 365 -375.

AMA Style

Keyi Wang, Haiyun Shi, Ji Chen, Tiejian Li. An improved operation-based reservoir scheme integrated with Variable Infiltration Capacity model for multiyear and multipurpose reservoirs. Journal of Hydrology. 2019; 571 ():365-375.

Chicago/Turabian Style

Keyi Wang; Haiyun Shi; Ji Chen; Tiejian Li. 2019. "An improved operation-based reservoir scheme integrated with Variable Infiltration Capacity model for multiyear and multipurpose reservoirs." Journal of Hydrology 571, no. : 365-375.

Editorial
Published: 27 March 2019 in Advances in Civil Engineering
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ACS Style

Hugo Rodrigues; Lars Abrahamczyk; Andre Barbosa; Haiyun Shi; Tiago Miguel Ferreira. Natural Hazards Challenges to Civil Engineering. Advances in Civil Engineering 2019, 2019, 1 -2.

AMA Style

Hugo Rodrigues, Lars Abrahamczyk, Andre Barbosa, Haiyun Shi, Tiago Miguel Ferreira. Natural Hazards Challenges to Civil Engineering. Advances in Civil Engineering. 2019; 2019 ():1-2.

Chicago/Turabian Style

Hugo Rodrigues; Lars Abrahamczyk; Andre Barbosa; Haiyun Shi; Tiago Miguel Ferreira. 2019. "Natural Hazards Challenges to Civil Engineering." Advances in Civil Engineering 2019, no. : 1-2.

Article
Published: 15 December 2018 in Water Resources Management
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Precipitation is regarded as the basic component of the global hydrological cycle. This study develops a recursive approach to long-term prediction of monthly precipitation using genetic programming (GP), taking the Three-River Headwaters Region (TRHR) in China as the study area. The daily precipitation data recorded at 29 meteorological stations during 1961–2014 are collected, among which the data during 1961–2000 are for calibration and the remaining data are for validation. To develop this approach, first, the preliminary estimations of annual precipitation are computed based on a statistical method. Second, the percentage of the monthly precipitation for each month of a year is calculated as the mean monthly precipitation divided by the mean annual precipitation during the study period, and then the preliminary estimation of monthly precipitation for each month of a year is obtained. Third, since GP can be used to improve the prediction results through establishing the relationship of the observations with the preliminary estimations at the past and current times, it is adopted to improve the preliminary estimations. The calibration and validation results reveal that the recursive approach involving GP can provide the more accurate predictions of monthly precipitation. Finally, this approach is used to predict the monthly precipitation over the TRHR till 2050. Overall, the proposed method and the obtained results will enhance our understanding and facilitate future studies regarding the long-term prediction of precipitation in such regions.

ACS Style

Suning Liu; Haiyun Shi. A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming. Water Resources Management 2018, 33, 1103 -1121.

AMA Style

Suning Liu, Haiyun Shi. A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming. Water Resources Management. 2018; 33 (3):1103-1121.

Chicago/Turabian Style

Suning Liu; Haiyun Shi. 2018. "A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming." Water Resources Management 33, no. 3: 1103-1121.

Journal article
Published: 23 April 2018 in Water
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River discharge, which represents the accumulation of surface water flowing into rivers and ultimately into the ocean or other water bodies, may have great impacts on water quality and the living organisms in rivers. However, the global knowledge of river discharge is still poor and worth exploring. This study proposes an efficient method for mapping high-resolution global river discharge based on the algorithms of drainage network extraction. Using the existing global runoff map and digital elevation model (DEM) data as inputs, this method consists of three steps. First, the pixels of the runoff map and the DEM data are resampled into the same resolution (i.e., 0.01-degree). Second, the flow direction of each pixel of the DEM data (identified by the optimal flow path method used in drainage network extraction) is determined and then applied to the corresponding pixel of the runoff map. Third, the river discharge of each pixel of the runoff map is calculated by summing the runoffs of all the pixels in the upstream of this pixel, similar to the upslope area accumulation step in drainage network extraction. Finally, a 0.01-degree global map of the mean annual river discharge is obtained. Moreover, a 0.5-degree global map of the mean annual river discharge is produced to display the results with a more intuitive perception. Compared against the existing global river discharge databases, the 0.01-degree map is of a generally high accuracy for the selected river basins, especially for the Amazon River basin with the lowest relative error (RE) of 0.3% and the Yangtze River basin within the RE range of ±6.0%. However, it is noted that the results of the Congo and Zambezi River basins are not satisfactory, with RE values over 90%, and it is inferred that there may be some accuracy problems with the runoff map in these river basins.

ACS Style

Jiaye Li; Tiejian Li; Suning Liu; Haiyun Shi. An Efficient Method for Mapping High-Resolution Global River Discharge Based on the Algorithms of Drainage Network Extraction. Water 2018, 10, 533 .

AMA Style

Jiaye Li, Tiejian Li, Suning Liu, Haiyun Shi. An Efficient Method for Mapping High-Resolution Global River Discharge Based on the Algorithms of Drainage Network Extraction. Water. 2018; 10 (4):533.

Chicago/Turabian Style

Jiaye Li; Tiejian Li; Suning Liu; Haiyun Shi. 2018. "An Efficient Method for Mapping High-Resolution Global River Discharge Based on the Algorithms of Drainage Network Extraction." Water 10, no. 4: 533.

Journal article
Published: 01 March 2018 in Science of The Total Environment
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Drought is a complex natural hazard that may have destructive damages on societal properties and even lives. Generally, socioeconomic drought occurs when water resources systems cannot meet water demand, mainly due to a weather-related shortfall in water supply. This study aims to propose a new method, a heuristic method, and a new index, the socioeconomic drought index (SEDI), for identifying and evaluating socioeconomic drought events on different severity levels (i.e., slight, moderate, severe, and extreme) in the context of climate change. First, the minimum in-stream water requirement (MWR) is determined through synthetically evaluating the requirements of water quality, ecology, navigation, and water supply. Second, according to the monthly water deficit calculated as the monthly streamflow data minus the MWR, the drought month can be identified. Third, according to the cumulative water deficit calculated from the monthly water deficit, drought duration (i.e., the number of continuous drought months) and water shortage (i.e., the largest cumulative water deficit during the drought period) can be detected. Fourth, the SEDI value of each socioeconomic drought event can be calculated through integrating the impacts of water shortage and drought duration. To evaluate the applicability of the new method and new index, this study examines the drought events in the East River basin in South China, and the impact of a multi-year reservoir (i.e., the Xinfengjiang Reservoir) in this basin on drought analysis is also investigated. The historical and future streamflow of this basin is simulated using a hydrologic model, Variable Infiltration Capacity (VIC) model. For historical and future drought analysis, the proposed new method and index are feasible to identify socioeconomic drought events. The results show that a number of socioeconomic drought events (including some extreme ones) may occur in future, and the appropriate reservoir operation can significantly ease such situation.

ACS Style

Haiyun Shi; Ji Chen; Keyi Wang; Jun Niu. A new method and a new index for identifying socioeconomic drought events under climate change: A case study of the East River basin in China. Science of The Total Environment 2018, 616-617, 363 -375.

AMA Style

Haiyun Shi, Ji Chen, Keyi Wang, Jun Niu. A new method and a new index for identifying socioeconomic drought events under climate change: A case study of the East River basin in China. Science of The Total Environment. 2018; 616-617 ():363-375.

Chicago/Turabian Style

Haiyun Shi; Ji Chen; Keyi Wang; Jun Niu. 2018. "A new method and a new index for identifying socioeconomic drought events under climate change: A case study of the East River basin in China." Science of The Total Environment 616-617, no. : 363-375.

Journal article
Published: 15 February 2018 in Atmosphere
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Rainfall stations of a certain number and spatial distribution supply sampling records of rainfall processes in a river basin. Uncertainty may be introduced when the station records are spatially interpolated for the purpose of hydrological simulations. This study adopts a bootstrap method to quantitatively estimate the uncertainty of areal rainfall estimates and its effects on hydrological simulations. The observed rainfall records are first analyzed using clustering and correlation methods and possible average basin rainfall amounts are calculated with a bootstrap method using various combinations of rainfall station subsets. Then, the uncertainty of simulated runoff, which is propagated through a hydrological model from the spatial uncertainty of rainfall estimates, is analyzed with the bootstrapped rainfall inputs. By comparing the uncertainties of rainfall and runoff, the responses of the hydrological simulation to the rainfall spatial uncertainty are discussed. Analyses are primarily performed for three rainfall events in the upstream of the Qingjian River basin, a sub-basin of the middle Yellow River; moreover, one rainfall event in the Longxi River basin is selected for the analysis of the areal representation of rainfall stations. Using the Digital Yellow River Integrated Model, the results show that the uncertainty of rainfall estimates derived from rainfall station network has a direct influence on model simulation, which can be conducive to better understand of rainfall spatial characteristic. The proposed method can be a guide to quantify an approximate range of simulated error caused by the spatial uncertainty of rainfall input and the quantified relationship between rainfall input and simulation performance can provide useful information about rainfall station network management in river basins.

ACS Style

Ang Zhang; Haiyun Shi; Tiejian Li; Xudong Fu. Analysis of the Influence of Rainfall Spatial Uncertainty on Hydrological Simulations Using the Bootstrap Method. Atmosphere 2018, 9, 71 .

AMA Style

Ang Zhang, Haiyun Shi, Tiejian Li, Xudong Fu. Analysis of the Influence of Rainfall Spatial Uncertainty on Hydrological Simulations Using the Bootstrap Method. Atmosphere. 2018; 9 (2):71.

Chicago/Turabian Style

Ang Zhang; Haiyun Shi; Tiejian Li; Xudong Fu. 2018. "Analysis of the Influence of Rainfall Spatial Uncertainty on Hydrological Simulations Using the Bootstrap Method." Atmosphere 9, no. 2: 71.

Article
Published: 11 January 2018 in International Journal of Climatology
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This study analysed the characteristics of climate change (including temporal trend and spatial distribution of temperature and precipitation) in Yunnan Province, China during 1961–2011 based on the observed data from 22 meteorological stations, and its relationship with land use/cover change (LUCC) was also discussed. The results showed that: (1) Significant increasing trend in temperature was observed at the annual scale, especially for the period 1987–2011. At the seasonal scale, such trend was the most prominent in winter. (2) Temporally, the annual precipitation showed a non-significant decreasing trend, which was dominant by the rainy season; spatially, the annual precipitation showed the east-to-west and north-to-south increasing trends over this region. (3) This study analysed the impacts of elevation and geographical location on climate change patterns, and the statistical equations to estimate the annual temperature and precipitation as well as their changing rates were established based on longitude, latitude and elevation. (4) Through analysing the relationship between climate change and the LUCC, the correlation between the LUCC and temperature was stronger than that between the LUCC and precipitation. The results would be valuable for researchers and managers to better understand the characteristics of climate change as well as its relationship with the LUCC and to make better decisions in future.

ACS Style

Haiyun Shi; Ji Chen. Characteristics of climate change and its relationship with land use/cover change in Yunnan Province, China. International Journal of Climatology 2018, 38, 2520 -2537.

AMA Style

Haiyun Shi, Ji Chen. Characteristics of climate change and its relationship with land use/cover change in Yunnan Province, China. International Journal of Climatology. 2018; 38 (5):2520-2537.

Chicago/Turabian Style

Haiyun Shi; Ji Chen. 2018. "Characteristics of climate change and its relationship with land use/cover change in Yunnan Province, China." International Journal of Climatology 38, no. 5: 2520-2537.