Jiren Li
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View article: Advancements and Prospects of Hydrogel Sweat Cooling Technology in Multiphase Heat Transfer Applications: A Review
Advancements and Prospects of Hydrogel Sweat Cooling Technology in Multiphase Heat Transfer Applications: A Review Open
Hydrogel sweat cooling is one of the leading areas in the study of multiphase heat transfer. In this study, the principles, applications, current research status, and future trends of hydrogel sweat cooling technology are comprehensively r…
View article: A Novel Unit Classification Method for Fast and Accurate Calculation of Radiation Patterns
A Novel Unit Classification Method for Fast and Accurate Calculation of Radiation Patterns Open
This paper proposes a novel unit classification technique to enhance the accuracy of the conventional pattern multiplication method by taking the mutual coupling effect and edge effect into consideration. The proposed technique classifies …
View article: Single-shot ToF sensing with sub-mm precision using conventional CMOS sensors
Single-shot ToF sensing with sub-mm precision using conventional CMOS sensors Open
We present a novel single-shot interferometric ToF camera targeted for precise 3D measurements of dynamic objects. The camera concept is based on Synthetic Wavelength Interferometry, a technique that allows retrieval of depth maps of objec…
View article: Water shortage and countermeasures of irrigation area around Lake Poyang in dry seasons
Water shortage and countermeasures of irrigation area around Lake Poyang in dry seasons Open
近年来,在以三峡大坝为代表的一系列流域人类活动作用下,鄱阳湖出现了枯水期延长、水位提前消落的现象,导致了一系列生态环境和民生问题.本文从环湖灌溉缺水入手,采用11种概率分布分析1953—2018年星子站水位,进行比较优选后选择Wakeby分布作为理论分布,得到90%保证率下的湖泊年平均水位及枯季9月至翌年2月月平均水位,并据历年平均水位选取代表水文年,进行环湖灌区水资源供需分析,获得缺水量.在此基础上,建立灌区缺水量变化与长江干流流量变化的量化关系,讨论其应对策略.结果表明…
View article: Hybrid machine learning hydrological model for flood forecast purpose
Hybrid machine learning hydrological model for flood forecast purpose Open
Machine learning-based data-driven models have achieved great success since their invention. Nowadays, the artificial neural network (ANN)-based machine learning methods have made great progress than ever before, such as the deep learning …
View article: Real-Time Flood Forecasting and Regulation System of Poyanghu Lake Basin in China
Real-Time Flood Forecasting and Regulation System of Poyanghu Lake Basin in China Open
The design and development of Flood Forecasting and Regulation System (FFRS) is an important part of non-structural measures for flood mitigation, and Browser/Server (B/S) system based on WEB technology is one of the main directions of the…
View article: Investigating China’s Urban Air Quality UsingBig Data, Information Theory,and Machine Learning
Investigating China’s Urban Air Quality UsingBig Data, Information Theory,and Machine Learning Open
With the development of the economy and industrial construction, air quality deteriorates dramatically in China and seriously threatens people's health.To investigate which factors most affect air quality and provide a useful tool to assis…
View article: An Improved Coupled Routing and Excess Storage (CREST) Distributed Hydrological Model and Its Verification in Ganjiang River Basin, China
An Improved Coupled Routing and Excess Storage (CREST) Distributed Hydrological Model and Its Verification in Ganjiang River Basin, China Open
The coupled routing and excess storage (CREST) distributed hydrological model has been applied regionally and globally for years. With the development of remote sensing, requirements for data assimilation and integration have become new ch…
View article: Study on Applicability of Conceptual Hydrological Models for Flood Forecasting in Humid, Semi-Humid Semi-Arid and Arid Basins in China
Study on Applicability of Conceptual Hydrological Models for Flood Forecasting in Humid, Semi-Humid Semi-Arid and Arid Basins in China Open
Flood simulation and forecasting in various types of watersheds is a hot issue in hydrology. Conceptual hydrological models have been widely applied to flood forecasting for decades. With the development of economy, modern China faces with…
View article: Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using In Situ Data
Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using In Situ Data Open
The Soil Moisture Active Passive (SMAP) satellite makes coincident global measurements of soil moisture using an L-band radar instrument and an L-band radiometer. It is crucial to evaluate the errors in the newest L-band SMAP satellite-der…
View article: Air quality analysis and forecast for environment and public health protection: a case study in Beijing, China
Air quality analysis and forecast for environment and public health protection: a case study in Beijing, China Open
With the economy development and industrial construction of modern China, air pollution issues increase all around China. Especially in Beijing, the air quality becomes much worse than ever before and seriously threatens the environment an…
View article: An improved hybrid data-driven model and its application in daily rainfall-runoff simulation
An improved hybrid data-driven model and its application in daily rainfall-runoff simulation Open
In previous literatures, a coupled data-driven rainfall-runoff (RR) model, NU-PEK, has been proposed and successfully applied in hourly RR simulation task. However, numerical experiments show that its performance for daily RR simulation is…
View article: Drought and Carbon Cycling of Grassland Ecosystems under Global Change: A Review
Drought and Carbon Cycling of Grassland Ecosystems under Global Change: A Review Open
In recent years, the increased intensity and duration of droughts have dramatically altered the structure and function of grassland ecosystems, which have been forced to adapt to this change in climate. Combinations of global change driver…
View article: Accelerating the SCE-UA Global Optimization Method Based on Multi-Core CPU and Many-Core GPU
Accelerating the SCE-UA Global Optimization Method Based on Multi-Core CPU and Many-Core GPU Open
The famous global optimization SCE-UA method, which has been widely used in the field of environmental model parameter calibration, is an effective and robust method. However, the SCE-UA method has a high computational load which prohibits…