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Xin’anjiang Nested Experimental Watershed (XAJ-NEW) for Understanding Multiscale Water Cycle: Scientific Objectives and Experimental Design Article

Ke Zhang,Yunping Li,Zhongbo Yu,Tao Yang,Junzeng Xu,Lijun Chao,Jin Ni,Liutong Wang,Yun Gao,Yuzhong Hu,Zuoding Lin,

Engineering 2022, Volume 18, Issue 11,   Pages 207-217 doi: 10.1016/j.eng.2021.08.026

Abstract: experimental program, strengthening the observation of the water cycle, discovering the spatiotemporal scalingeffects of hydrological processes, and revealing the mechanisms controlling runoff generation and partitioningfurther reveal the mechanisms controlling runoff generation and partitioning, discover the spatiotemporal scalingeffects of hydrological processes, and understand the impacts of climate change on hydrological processesThese findings provide new insights into understanding multiscale hydrological processes and their responses

Keywords： Water cycle     Runoff generation     Hydrological processes     Hydrological scaling     Soil moisture     Groundwater     Canopy    

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Modeling of hydrological processes in arid agricultural regions

Jiang LI,Xiaomin MAO,Shaozhong KANG,David A. BARRY

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 4,   Pages 283-294 doi: 10.15302/J-FASE-2015076

Abstract: Understanding of hydrological processes, including consideration of interactions between vegetation growthModels can be categorized into three classes: (1) regional distributed hydrological models with various

Keywords： hydrological processes     irrigation area     SPAC     crop growth     groundwater     canal seepage    

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Fast scaling approach based on cavitation conditions to estimate the speed limitation for axial piston

Qun CHAO, Jianfeng TAO, Junbo LEI, Xiaoliang WEI, Chengliang LIU, Yuanhang WANG, Linghui MENG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 176-185 doi: 10.1007/s11465-020-0616-0

Abstract: This paper presents a scaling law derived from an analytical cavitation model to estimate the speed limitationsThe cavitation model is experimentally verified using a high-speed axial piston pump, and the scalingFurthermore, a characteristic constant is defined based on the presented scaling law.

Keywords： axial piston pump     cavitation     speed limitation     scaling law    

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Effects of land use change on hydrological cycle from forest to upland field in a catchment, Japan

Chuan ZHANG, Keiji TAKASE, Hiroki OUE, Nobuhiro EBISU, Haofang YAN

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 456-465 doi: 10.1007/s11709-013-0218-6

Abstract: Understanding the effects of land use change on the hydrological cycle is very important for developmentIn this study, soil and hydrological properties in an upland field catchment, which was reclaimed partiallyFurthermore, a semi-distributed hydrological model was applied in the upland field catchment to understandthe integrated effects of reclamation on the hydrological cycle.

Keywords： land-use change     hydrological processes     upland field catchment     forest catchment     semi-distributed hydrological    

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Research on Battery-aware Dynamic Voltage Scaling Policy

Xu Shen,Hu Chen

Strategic Study of CAE 2008, Volume 10, Issue 2,   Pages 79-85

Abstract: In this paper, the problem of task scheduling with dynamic voltage scaling such that the maximum consume

Keywords： battery optimization     dynamic voltage scaling     adjustment of idle time distribution    

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A review of hydrological/water-quality models

Liangliang GAO,Daoliang LI

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 4,   Pages 267-276 doi: 10.15302/J-FASE-2014041

Abstract: Water quality models are important in predicting the changes in surface water quality for environmental management. A range of water quality models are wildly used, but every model has its advantages and limitations for specific situations. The aim of this review is to provide a guide to researcher for selecting a suitable water quality model. Eight well known water quality models were selected for this review: SWAT, WASP, QUALs, MIKE 11, HSPF, CE-QUAL-W2, ELCOM-CAEDYM and EFDC. Each model is described according to its intended use, development, simulation elements, basic principles and applicability (e.g., for rivers, lakes, and reservoirs and estuaries). Currently, the most important trends for future model development are: (1) combination models—individual models cannot completely solve the complex situations so combined models are needed to obtain the most appropriate results, (2) application of artificial intelligence and mechanistic models combined with non-mechanistic models will provide more accurate results because of the realistic parameters derived from non-mechanistic models, and (3) integration with remote sensing, geographical information and global position systems (3S) —3S can solve problems requiring large amounts of data.

Keywords： water quality models     applications     future trends    

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Corrigendum to ‘‘A Comparison of SWAT Model Calibration Techniques for Hydrological Modeling in the Ganga Corrigendum

Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari

Engineering 2019, Volume 5, Issue 1,   Pages 181-181 doi: 10.1016/j.eng.2018.11.009

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Scaling up of cluster beam deposition technology for catalysis application

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 6,   Pages 1360-1379 doi: 10.1007/s11705-021-2101-7

Abstract: Many research works have demonstrated that the combination of atomically precise cluster deposition and theoretical calculations is able to address fundamental aspects of size-effects, cluster-support interactions, and reaction mechanisms of cluster materials. Although the wet chemistry method has been widely used to synthesize nanoparticles, the gas-phase synthesis and size-selected strategy was the only method to prepare supported metal clusters with precise numbers of atoms for a long time. However, the low throughput of the physical synthesis method has severely constrained its wider adoption for catalysis applications. In this review, we introduce the latest progress on three types of cluster source which have the most promising potential for scale-up, including sputtering gas aggregation source, pulsed microplasma cluster source, and matrix assembly cluster source. While the sputtering gas aggregation source is leading ahead with a production rate of ~20 mg·h–1, the pulsed microplasma source has the smallest physical dimensions which makes it possible to compact multiple such devices into a small volume for multiplied production rate. The matrix assembly source has the shortest development history, but already show an impressive deposition rate of ~10 mg·h–1. At the end of the review, the possible routes for further throughput scale-up are envisaged.

Keywords： nanoparticle     cluster     cluster beam deposition     magnetron sputtering     heterogeneous catalysis    

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Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station

Chenglong ZHANG,Mo LI,Ping GUO

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1,   Pages 81-96 doi: 10.15302/J-FASE-2016112

Abstract: the trends of hydrologic time series are nonstationary, and consequently the established methods for hydrologicalwas used to simulate these stochastic components with normal distribution, and thus a new ensemble hydrological

Keywords： Monte Carlo     nonstationary     trend detection     streamflow prediction     decomposition and ensemble     Yingluoxia    

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Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 30-35

Abstract: When illustrating the method by an application to forecast mid and long term hydrological process of

Keywords： selection     BP neural network     genetic algorithm     intelligent forecasting mode     mid and long term intelligent hydrological    

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A Comparison of SWAT Model Calibration Techniquesfor Hydrological Modeling in the Ganga River Watershed

Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari

Engineering 2018, Volume 4, Issue 5,   Pages 643-652 doi: 10.1016/j.eng.2018.08.012

Abstract: In this study, hydrological modeling was applied to Soil and Water Assessment Tool (SWAT) modeling indelineated into 46 sub-watersheds, and a land use/land cover (LULC) map and soil map were used to create hydrological

Keywords： Remote sensing     Geographic information system     Soil and Water Assessment Tool     Hydrological modeling     SUFI    

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Scaling up a novel denitrifying microbial fuel cell with an oxic-anoxic two stage biocathode

Peng LIANG, Jincheng WEI, Ming LI, Xia HUANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6,   Pages 913-919 doi: 10.1007/s11783-013-0583-3

Abstract: A scaled up microbial fuel cell (MFC) of a 50 L volume was set up with an oxic-anoxic two-stage biocathode and activated semicoke packed electrodes to achieve simultaneous power generation and nitrogen and organic matter removals. An average maximum power density of 43.1 W·m was obtained in batch operating mode. By adjusting the two external resistances, the denitrification in the A-MFC and power production in the O-MFC could be enhanced. In continuous mode, when the hydraulic retention times were set at 6 h, 8 h and 12 h, the removal efficiencies of COD, and total nitrogen (TN) were higher than 95%, 97%, and 84%, respectively. Meanwhile the removal loads for COD, and TN were10, 0.37 and 0.4 kg·(m ·d) , respectively.

Keywords： microbial fuel cell (MFC)     oxic-anoxic two stage biocathode     denitrifying    

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Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting Article

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Engineering 2023, Volume 24, Issue 5,   Pages 213-229 doi: 10.1016/j.eng.2022.06.007

Abstract: paid little attention to the influence of multi-source uncertainties in complex meteorological and hydrologicalnumerical weather prediction products from the International Grand Global Ensemble (TIGGE) dataset, four hydrologicalnumerical weather prediction input uncertainty in the forecasting system was more significant than the hydrologicalThe hydrological model structure uncertainty was more prominent than the parameter uncertainty.In addition, the structures and parameters of the hydrological model and their interactions contributed

Keywords： Meteorological and hydrological forecasting     Uncertainty estimation     Bayesian model averaging     Ensemble    

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Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 519-531 doi: 10.1631/FITEE.1400399

Abstract: With the increasing energy consumption of computing systems and the growing advocacy for green computing, energy efficiency has become one of the critical challenges in high-performance heterogeneous computing systems. Energy consumption can be reduced by not only hardware design but also software design. In this paper, we propose an energy-aware scheduling algorithm with equalized frequency, called EASEF, for parallel applications on heterogeneous computing systems. The EASEF approach aims to minimize the finish time and overall energy consumption. First, EASEF extracts the set of paths from an application. Then, it reconstructs the application based on the extracted set of paths to achieve a reasonable schedule. Finally, it adopts a progressive way to equalize the frequency of tasks to reduce the total energy consumption of systems. Randomly generated applications and two real-world applications are examined in our experiments. Experimental results show that the EASEF algorithm outperforms two existing algorithms in terms of makespan and energy consumption.

Keywords： Directed acyclic graph     Dynamic voltage scaling     Energy aware     Heterogeneous systems     Task scheduling    

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Simulation on Scaling-up for Coupling to Oxalic Acid in Gaseous Phase

Wang Baowei,Ma Xinbin,Li Zhenhua,Xu Genhui

Strategic Study of CAE 2001, Volume 3, Issue 2,   Pages 79-85

Abstract: It was found that the key problem for scaling-up this process is to match the CO coupling reaction rate

Keywords： CO coupling     oxalic acid     scale-up experiment     catalytic engineering    

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Title Author Date Type Operation

Xin’anjiang Nested Experimental Watershed (XAJ-NEW) for Understanding Multiscale Water Cycle: Scientific Objectives and Experimental Design

Ke Zhang,Yunping Li,Zhongbo Yu,Tao Yang,Junzeng Xu,Lijun Chao,Jin Ni,Liutong Wang,Yun Gao,Yuzhong Hu,Zuoding Lin,

Journal Article

Modeling of hydrological processes in arid agricultural regions

Jiang LI,Xiaomin MAO,Shaozhong KANG,David A. BARRY

Journal Article

Fast scaling approach based on cavitation conditions to estimate the speed limitation for axial piston

Qun CHAO, Jianfeng TAO, Junbo LEI, Xiaoliang WEI, Chengliang LIU, Yuanhang WANG, Linghui MENG

Journal Article

Effects of land use change on hydrological cycle from forest to upland field in a catchment, Japan

Chuan ZHANG, Keiji TAKASE, Hiroki OUE, Nobuhiro EBISU, Haofang YAN

Journal Article

Research on Battery-aware Dynamic Voltage Scaling Policy

Xu Shen,Hu Chen

Journal Article

A review of hydrological/water-quality models

Liangliang GAO,Daoliang LI

Journal Article

Corrigendum to ‘‘A Comparison of SWAT Model Calibration Techniques for Hydrological Modeling in the Ganga

Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari

Journal Article

Scaling up of cluster beam deposition technology for catalysis application

Journal Article

Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station

Chenglong ZHANG,Mo LI,Ping GUO

Journal Article

Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article

A Comparison of SWAT Model Calibration Techniquesfor Hydrological Modeling in the Ganga River Watershed

Nikita Shivhare, Prabhat Kumar Singh Dikshit, Shyam Bihari

Journal Article

Scaling up a novel denitrifying microbial fuel cell with an oxic-anoxic two stage biocathode

Peng LIANG, Jincheng WEI, Ming LI, Xia HUANG

Journal Article

Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Journal Article

Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Journal Article

Simulation on Scaling-up for Coupling to Oxalic Acid in Gaseous Phase

Wang Baowei,Ma Xinbin,Li Zhenhua,Xu Genhui

Journal Article