Article
Agronomy
Sana Zeeshan Shirazi, Xurong Mei, Buchun Liu, Yuan Liu
Summary: This study used a validated model to estimate potential grain yield and water budget changes for winter wheat and summer maize in the Huang-Huai-Hai Plain under different climate change scenarios. The results suggest that winter wheat yield may increase in the future, particularly in certain regions, while summer maize yield is expected to decrease. The study highlights the importance of developing adaptation and mitigation strategies for agricultural productivity and water resource management in the face of climate change.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Lichuan Wang, Jianhua Wang, Fan He, Qingming Wang, Yong Zhao, Peiyi Lu, Ya Huang, Hao Cui, Haodong Deng, Xinran Jia
Summary: Climate warming leads to frequent extreme precipitation events, which is a prominent manifestation of the variation of the global water cycle. This study analyzes the historical and future precipitation data in the Huang-Huai-Hai-Yangtze River Basin using meteorological station data and climate models. The results show that extreme precipitation indices are significantly correlated with precipitation and geographical factors, and areas above 3000 m above sea level are more sensitive to climate change.
SCIENTIFIC REPORTS
(2023)
Article
Agriculture, Multidisciplinary
Yingjie Li, Xinyu Qi, Kaixuan Wang, Jiali Gu, Jinfeng Zhao, Xinyu Hu, Shikun Sun
Summary: The occurrence of high-temperature events during the maize growth period, especially in the flowering-maturity stage, will increase the water footprint of maize. Measures such as changing planting structures, adjusting maize sowing dates, and cultivating heat-resistant maize varieties can be taken to mitigate the negative impacts of high-temperature weather.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2022)
Article
Biodiversity Conservation
Shunxiang Fan, Jan C. Axmacher, Hanjun Shu, Yunhui Liu
Summary: In modern agricultural landscapes, constructing ecological networks is considered an efficient approach for biodiversity conservation and ecosystem service maintenance. This study developed a methodology for designing ecological corridors, combining ecological source-resistance surface-ecological corridor framework, semi-natural habitat planning, and ecosystem service trade-off assessment. The results revealed that ecological networks with forests covering 10% of the total area were the optimal scenario, balancing ecosystem services with agricultural yield. Networks with mixed forest and grassland cover totaling 20% of the area represented an alternative choice, enhancing regional ecosystem services while allowing for high agricultural productivity.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Gengmin Jiang, Xiaobo Gu, Dongsheng Zhao, Jun Xu, Changkun Yang, Siyu Wang, Yuying Li, Bai-Lian Li
Summary: In future climate scenarios, drought in the Huang-Huai-Hai region will be alleviated to some extent with the increase of rainfall, but intensified with the rise of greenhouse gas concentration, posing a significant challenge to agricultural water use in the region.
Article
Geosciences, Multidisciplinary
Houfa Wu, Jianyun Zhang, Zhenxin Bao, Guoqing Wang, Wensheng Wang, Yanqing Yang, Jie Wang, Guangyuan Kan
Summary: The Yellow-Huai-Hai River Basin is an important ecological barrier in China, and the vegetation coverage in this region shows spatiotemporal differences and is influenced by various driving factors. The study found that vegetation coverage increased from 1982 to 2015, with a positive correlation between vegetation growth and temperature. Natural forcing had the greatest impact on vegetation change, while anthropogenic forcing and other driving factors also played significant roles, with spatial variations. Climate change and human activities both had positive effects on vegetation restoration, while land use change was the main factor causing vegetation degradation.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Environmental Sciences
Jiaxin Ren, Weiguang Wang, Jia Wei, Hongbin Li, Xiaolei Li, Guoshuai Liu, Yalin Chen, Shilong Ye
Summary: The Huang-Huai-Hai River Basin in northern China has experienced frequent drought-flood abrupt alternation (DFAA) events under climate change, with regional differences. In the future, this river basin will face more drought to flood and flood to drought events, especially in the central part of the Yellow River Basin. These findings provide scientific reference for the formulation of management policies and mitigation strategies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Biology
Yanxi Zhao, Dengpan Xiao, Huizi Bai, De Li Liu, Jianzhao Tang, Yongqing Qi, Yanjun Shen
Summary: Understanding the impact of climate change on crop production and water consumption is crucial for sustainable agricultural development. This study investigated the effects of temperature, solar radiation, precipitation, and CO2 concentration on crop phenology, yield, and water consumption in a rice-wheat rotation system. The findings revealed that climate change significantly influences the growth process, yield, and water use efficiency of crops.
Article
Environmental Studies
Chunxiao Song, Yue Rong, Ruifeng Liu, Les Oxley, Hengyun Ma
Summary: The aggravation of extreme weather events has significantly increased the risk of severe water shortages and posed a serious threat to agricultural production. This study found that water-saving technologies play a significant role in responding to drought, with the adoption of household-based or community-based WSTs generating even greater positive effects on crop yield and farmers' net income.
Article
Agronomy
Kangjie Ma, Xiaoyan Li, Ying Li, Zihao Wang, Bingjie Zhao, Baotong Wang, Qiang Li
Summary: This study evaluated the disease resistance of 146 wheat entries in the Huang-Huai-Hai region of China, showing varying levels of resistance to different prevalent pathogens. Through closely linked markers, potential resistance genes were postulated in several wheat entries, providing a theoretical foundation for future wheat breeding programs and disease control strategies.
Article
Agronomy
Jinran Xiong, Fangting Liang, Xiaolin Yang, Taisheng Du, Steven Pacenka, Tammo S. Steenhuis, Kadambot H. M. Siddique
Summary: This study systematically evaluated the water footprint of eight crops under green and traditional cultivation, and found that green cultivation with reduced fertilizer application can decrease crop yields but also significantly reduce the overall water footprint, especially the grey water footprint. Precision fertilizer application and improved nitrogen use efficiencies are important for sustainable agricultural development.
Article
Plant Sciences
Liyuan Wang, Yongsheng Zheng, Lili Duan, Mumu Wang, Hui Wang, Hua Li, Ruyu Li, Han Zhang
Summary: This study investigated the DUS testing characteristics of 195 wheat varieties released in the Huang-Huai-Hai region in China, and found significant differences among different characteristics and similar artificial selection trends in the three wheat-growing areas. The results provide important guidance for wheat breeding and production in the region.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Environmental Sciences
Yinshuai Li, Chunyan Chang, Zhuoran Wang, Guanghui Qi, Chao Dong, Gengxing Zhao
Summary: This study conducted cultivated land quality assessment in different scale areas and achieved upscaling inversion through evaluation system conversion and image scale conversion. The best inversion phase was found to be the booting stage, with the best inversion model being CI-BPNN. The results showed a steady improvement in wheat field quality in the Huang-Huai-Hai region since 2001.
Article
Agriculture, Multidisciplinary
Xuechen Xiao, Juan Kang, Huawei Li, Yang Liu, Chunsheng Yao, Zhen Zhang, Ying Liu, Wan Sun, Guozhang Kang, Zhimin Wang, Chenyang Wang, Zhengbin Zhang, Zhencai Sun, Ping Xu, Jing Wang, Yinghua Zhang
Summary: This study conducted a planting survey in the Huang-Huai-Hai Region and proposed two lower carbon-emission planting patterns based on water and fertilizer coupling effects. The results showed that these new planting patterns increased yields and water use efficiency while decreasing carbon emissions compared to traditional planting methods.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2023)
Article
Environmental Sciences
Linlin Dong, Xiao Yang, Linlin Shi, Yuan Shen, Lingqing Wang, Jidong Wang, Chuanzhe Li, Haidong Zhang
Summary: Biochar can enhance soil organic carbon and crop yield, making it an effective material for soil improvement in medium-low yield fields. The addition of biochar to the soil increases SOC content, changes the C:N ratio, and promotes the bioavailability of nutrient elements, thereby increasing crop yields.
Article
Engineering, Civil
Zefeng Chen, Weiguang Wang, Ross A. Woods, Quanxi Shao
Summary: Vegetation, as a key component of the terrestrial system, plays a crucial role in hydrological processes and water yield. While previous studies have focused on the effects of changes in total vegetation coverage and density, this research highlights the importance of considering changes in vegetation components. The study shows that different vegetation types have diverse hydrological sensitivities and trade-offs exist among the hydrological effects of each vegetation component.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Zengliang Luo, Quanxi Shao, Huan Liu
Summary: The construction of dams and sluices has both positive and negative impacts on river water quality and water ecology. Different regulations for dams and sluices based on various objectives and interests can lead to varying degrees of impact on water quality and water ecology. Studying short-term and long-term scenarios of regulation with different discharge levels is crucial for effective water resources management.
JOURNAL OF HYDROLOGY
(2021)
Article
Water Resources
Wenlong Hao, Quanxi Shao, Peng Wei, Changjun Zhu, Xi Chen, Rongbo Chen
Summary: This study analyzed the nonstationarity in flood frequency in the Hanjiang River Basin using AMS data. The results indicated that flood behavior in the basin is mainly influenced by anthropogenic and climatic factors, and the projected increase in precipitation and temperature suggests a potential increase in flood risk in the future. The study provides important information for decision-makers in risk management.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Engineering, Civil
Zengliang Luo, Quanxi Shao
Summary: This study examines the capability of PET products in improving hydrological simulation. The results show that PET products can improve the accuracy of hydrological simulation, especially when using distributed input and higher spatial resolution PET products. The study emphasizes the importance of improving the accuracy of PET products and balancing water budget closure.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Civil
Zhengguang Xu, Zhiyong Wu, Quanxi Shao, Hai He, Xiao Guo
Summary: This study proposes a two-step calibration-based regionalization method by combining the traditional spatial proximity method with the remote sensing evapotranspiration (ET)-based parameter calibration method to improve the accuracy of hydrological modeling in ungauged catchments. The results demonstrate the great potential of combining the traditional parameter regionalization and remote sensing ET-based parameter calibration methods in hydrological simulations in ungauged catchments, showing better performance in simulating streamflow and soil moisture anomalies compared to other methods.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Jianyu Fu, Weiguang Wang, Quanxi Shao, Wanqiu Xing, Mingzhu Cao, Jia Wei, Zefeng Chen, Wanshu Nie
Summary: The study demonstrates that the PEW model has smaller errors than the original PT-JPL algorithm, with significant improvements in water-limited regions and areas characterized by high interception. By incorporating water balance constraints into the ET algorithm, the PEW model is able to distinguish variations in ET affected by El Nino-Southern Oscillation.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Guoshuai Liu, Weiguang Wang, Quanxi Shao
Summary: Irrigation activities over the North China Plain have been found to lower temperature by altering the surface energy budget. However, our investigation reveals a shift in the cooling effect around 1995, coinciding with changes in irrigated area expansion and water-conserving irrigation technology. The subsequent deceleration in irrigation-induced cooling is expected to contribute to a more rapid warming.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Engineering, Environmental
Hamideh Kazemi, Quanxi Shao, Ranjan Sarukkalige
Summary: Conceptual models are commonly used to study streamflow change, but their evaluation of the role of groundwater dependent evapotranspiration is lacking. To address this gap, our study used conceptual models and groundwater level data to investigate the importance of groundwater on streamflow. The results showed improved monthly streamflow estimation, but the models struggled to accurately estimate peak-flow and base-flow variations. Thus, we developed a hybrid conceptual-statistical framework which significantly improved estimation accuracy and model performance. This hybrid framework can be applied to other catchments, particularly with limited or non-uniform data.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Agronomy
Wanqiu Xing, Lilin Yang, Weiguang Wang, Zhongbo Yu, Quanxi Shao, Shiqin Xu, Jianyu Fu
Summary: The variations of net ecosystem productivity (NEP), evapotranspiration (ET), and water use efficiency (WUE) in a wheat-maize rotation cropland in the Huaibei Plain of China were investigated. Results showed that the NEP, ET, and WUE were higher in the wheat season compared to the maize season. Spring drought and summer flood affected the WUE of wheat and maize, respectively.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Engineering, Environmental
Ming Li, Quanxi Shao, Joel Janek Dabrowski, Ashfaqur Rahman, Andrea Powell, Brent Henderson, Zachary Hussain, Peter Steinle
Summary: This study proposes an automatic quality evaluation method for daily rainfall observations collected from third-party stations. The method uses reference data sources to provide separate tests and issues a p-value-based confidence score as a measure of quality. The method has been validated with synthetic and real datasets, achieving high accuracy in identifying erroneous data.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Engineering, Environmental
Huidong Jin, Weifan Jiang, Minzhe Chen, Ming Li, K. Shuvo Bakar, Quanxi Shao
Summary: Skilful and localised daily weather forecasts are needed by climate-sensitive sectors, which can be provided by downscaling techniques applied to the ensemble forecasts from General circulation models. This study focuses on deep-learning-based downscaling method for ensemble rainfall forecasts and proposes a two-step procedure to enhance the accuracy and skill. The results demonstrate that the developed very deep statistical downscaling model outperforms other models and improves the raw forecasts, although further research efforts are required for skilful seasonal climate forecasts.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Water Resources
Zhengguang Xu, Zhiyong Wu, Quanxi Shao, Hai He, Xiao Guo
Summary: This study focuses on exploring the propagation process from meteorological drought to agricultural drought, which is an important step in providing early warning of agricultural drought. The findings reveal that the average propagation time from meteorological to agricultural drought in the Yangtze River Basin is 48 days, with shorter times in summer and autumn compared to spring and winter. The occurrence probability of more serious agricultural drought increases with meteorological drought intensity. Additionally, the proposed drought event-matching method shows that approximately 72.4% of meteorological drought events in the basin may translate into agricultural drought events.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Energy & Fuels
Chao Song, Tao Wang, Xiaohong Chen, Quanxi Shao, Xianqi Zhang
Summary: Accurate prediction of daily CO2 emissions is crucial for understanding real-time dynamics and formulating reduction policies. We propose an ensemble framework based on signal decomposition-reconstruction model, which shows efficient and accurate predictions for industrial and ground transport CO2 emissions.
Article
Geosciences, Multidisciplinary
Tongtiegang Zhao, Haoling Chen, Quanxi Shao, Tongbi Tu, Yu Tian, Xiaohong Chen
Summary: Climate teleconnections play a crucial role in validating precipitation forecasts generated by global climate models. This paper introduces a novel approach to attributing correlation skill of dynamical GCM forecasts to statistical ENSO teleconnections using the coefficient of determination. Results show the significant contributions of ENSO teleconnections to GCM forecasts and provide spatial plots of regions where anomaly correlation is subject to different types of teleconnections.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Environmental Sciences
Jianyu Fu, Weiguang Wang, Quanxi Shao, Wanqiu Xing, Mingzhu Cao, Jia Wei, Zefeng Chen, Wanshu Nie
Summary: This study developed a new global ET estimation model, PEW, which improved the ability to estimate ET in water-limited and high interception regions by incorporating water balance constraints into the algorithm.
REMOTE SENSING OF ENVIRONMENT
(2022)
