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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting

Keywords： Short-term water demand forecasting     Long-short term memory neural network     Convolutional Neural Network    

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Short-term Load Forecasting Using Neural Network

Luo Mei

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 77-80

Abstract: three BP ANN models,  namely SDBP, LMBP and BRBP Model,  are established to carry out the short-termload forecasting work, and the results are compared.

Keywords： short-term load forecasting(STLF)     ANN     Levenberg-Marquardt     Bayesian regularization     optimized algorithms    

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Effect of short-term atrazine addition on the performance of an anaerobic/anoxic/oxic process

Changyong WU, Xiaoling LI, Zhiqiang CHEN, Yongzhen PENG,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 2,   Pages 150-156 doi: 10.1007/s11783-010-0020-9

Abstract: anaerobic/anoxic/oxic (AO) wastewater treatment process was implemented to treat domestic wastewater with short-termaccidental pollution on the operation of a wastewater treatment plant (WWTP) in relation to Chemical Oxygen DemandThe specific NH NO reduction rate decreased slightly due to the short-term atrazine addition.The phosphorus removal rate was not affected by the short-term addition of atrazine under the appliednot removed with the AO process, even via absorption by the activated sludge in the process of the short-term

Keywords： biological nutrient removal     atrazine     anaerobic/anoxic/oxic (A2O) process     oxygen demand removal     oxygen    

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Anlotinib as third- or further-line therapy for short-term relapsed small-cell lung cancer: subgroup

Frontiers of Medicine 2022, Volume 16, Issue 5,   Pages 766-772 doi: 10.1007/s11684-021-0916-8

Abstract: investigate the efficacy and safety of anlotinib as third- or further-line therapy in patients with short-termPatients with short-term relapsed SCLC (disease progression within 3 months after completing ≥ two linesFor patients with short-term relapsed SCLC, third- or further-line anlotinib treatment was associated

Keywords： anlotinib     chemotherapy     short-term relapsed     small-cell lung cancer    

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Response of bacterial communities to short-term pyrene exposure in red soil

Jingjing PENG, Hong LI, Jianqiang SU, Qiufang ZHANG, Junpeng RUI, Chao CAI

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4,   Pages 559-567 doi: 10.1007/s11783-013-0501-8

Abstract: However, long-term exposure studies did not detect any significant effects of pyrene on soil microorganismIn this study, short-term microcosm experiments were conducted to identify the immediate effect of pyreneShort-term exposure to pyrene resulted in dominance of Proteobacteria in soil, followed by Acidobacteria

Keywords： pyrene     bacterial communities     terminal restriction fragment length polymorphism     short-term exposure     rank-abundance    

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Insights into simultaneous anammox and denitrification system with short-term pyridine exposure: Process

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1433-3

Abstract:

• Short-term effect of the pyridine exposure on the SAD process was

Keywords： Anammox     Inhibition     Metabolic pathway     Microbial community     Pyridine     SAD    

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distal pancreatectomy versus conventional laparoscopic distal pancreatectomy: a comparative study for short-term

Eric C. H. Lai,Chung Ngai Tang

Frontiers of Medicine 2015, Volume 9, Issue 3,   Pages 356-360 doi: 10.1007/s11684-015-0404-0

Abstract:

Robotic system has been increasingly used in pancreatectomy. However, the effectiveness of this method remains uncertain. This study compared the surgical outcomes between robot-assisted laparoscopic distal pancreatectomy and conventional laparoscopic distal pancreatectomy. During a 15-year period, 35 patients underwent minimally invasive approach of distal pancreatectomy in our center. Seventeen of these patients had robot-assisted laparoscopic approach, and the remaining 18 had conventional laparoscopic approach. Their operative parameters and perioperative outcomes were analyzed retrospectively in a prospective database. The mean operating time in the robotic group (221.4 min) was significantly longer than that in the laparoscopic group (173.6 min) (P = 0.026). Both robotic and conventional laparoscopic groups presented no significant difference in spleen-preservation rate (52.9% vs. 38.9%) (P = 0.505), operative blood loss (100.3 ml vs. 268.3 ml) (P = 0.29), overall morbidity rate (47.1% vs. 38.9%) (P = 0.73), and post-operative hospital stay (11.4 days vs. 14.2 days) (P = 0.46). Both groups also showed no perioperative mortality. Similar outcomes were observed in robotic distal pancreatectomy and conventional laparoscopic approach. However, robotic approach tended to have the advantages of less blood loss and shorter hospital stay. Further studies are necessary to determine the clinical position of robotic distal pancreatectomy.

Keywords： distal pancreatectomy     pancreatic neoplasm     robotic surgery    

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Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3,   Pages 334-338 doi: 10.1007/s11783-007-0057-6

Abstract: Based on this, a short-term forecasting chaos neural network model of WWTP influent quantity was builtReasonable forecasting results were achieved using this method.

Keywords： nonlinear     reconstruction     WWTP influent     characteristic     Reasonable forecasting    

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An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem

Tahir Nadeem MALIK,Salman ZAFAR,Saaqib HAROON

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 404-417 doi: 10.1631/FITEE.1400189

Abstract: Short-term hydrothermal scheduling (STHTS) is a non-linear and complex optimization problem with a set

Keywords： Valve-point effect     Prohibited discharge zones     Differential evolution     Chaotic sequences     Constraint handling    

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The second short-term warm ischemia after vascular anastomosis did not affect early renal function recovery

Tao Qiu, Jiangqiao Zhou, Xiuheng Liu, Minghuan Ge, Zhiyuan Chen

Frontiers of Medicine 2012, Volume 6, Issue 3,   Pages 329-331 doi: 10.1007/s11684-012-0211-9

Abstract:

Ischemic postconditioning was defined as rapid intermittent interruptions of blood ?ow in the early phase of reperfusion, which has been found to be protective against renal ischemia-reperfusion injury (IRI) in animal models but not in clinical trials. We describe a case that the allograft renal vein was twisted because of the surgeon’s mistake, which caused the warm ischemia of allograft after reperfusion. The allograft restored blood flow without second reperfusion and cold preservation after 9 min of warm ischemia. The patient was followed up for 3 months and the allograft worked well without complications.

Keywords： renal transplantation     vein twist     ischemia-reperfusion injury    

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Short-term effect of temperature variation on the competition between PAOs and GAOs during acclimation

Nanqi REN, Han KANG, Xiuheng WANG, Nan LI

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 277-282 doi: 10.1007/s11783-010-0226-x

Abstract: Sequencing batch reactor (SBR) for enhanced biological phosphorus removal (EBPR) processes was used to investigate the impact of the temperature shock on the competition between phosphorus-accumulating organisms (PAOs) and glycogen accumulating organisms (GAOs) in start-up stage. During the 34 days operation, SBR was set with temperature variation(0–5 d, 22±1°C; 6–13 d, 29±1°C; 14–34 d, 14±1°C). PAOs and GAOs were analyzed by fluorescent in situ hybridization (FISH), and intracellular polyphosphate granules were stained by Neisser-stain. The results showed that the influence of temperature shock on PAOs’ abundance was more serious than that on GAOs in the enriching process. Under sudden and substantially temperature variation, from 22±1°C to 29±1°C and then to 14±1°C, the domination of PAOs was deteriorated. After temperature shock, PAOs’ competitive advantages at low temperature that concluded in other study did not appear in our study. As mesophilic, GAOs (indicated by and ) were more temperature adaptive and better grew and took the domination at 14±1°C in the end. In the competition process, organisms of tetrad forming organisms (TFOs)-like shape which were considered as typical GAOs, were observed. With the evidence of poly-P granules containing by Neisser-straining and result of FISH, these organisms of TFOs-like shape were better to be assumed as adaption state or a special self-protecting shape of PAOs.

Keywords： fluorescent in situ hybridization (FISH)     tetrad forming organisms (TFOs)     temperature variation     enhanced biological phosphorus removal (EBPR)    

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Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 128-136 doi: 10.1007/s11783-013-0598-9

Abstract: The prediction of the influent load is of great importance for the improvement of the control system to a large wastewater treatment plant. A systematic data analysis method is presented in this paper in order to estimate and predict the periodicity of the influent flow rate and ammonia (NH ) concentrations: 1) data filtering using wavelet decomposition and reconstruction; 2) typical cycle identification using power spectrum density analysis; 3) fitting and prediction model establishment based on an autoregressive model. To give meaningful information for feedforward control systems, predictions in different time scales are tested to compare the corresponding predicting accuracy. Considering the influence of the rainfalls, a linear fitting model is derived to estimate the relationship between flow rate trend and rain events. Measurements used to support coefficient fitting and model testing are acquired from two municipal wastewater treatment plants in China. The results show that 1) for both of the two plants, the periodicity affects the flow rate and NH concentrations in different cycles (especially cycles longer than 1 day); 2) when the flow rate and NH concentrations present an obvious periodicity, the decreasing of prediction accuracy is not distinct with increasing of the prediction time scales; 3) the periodicity influence is larger than rainfalls; 4) the rainfalls will make the periodicity of flow rate less obvious in intensive rainy periods.

Keywords： influent load prediction     wavelet de-noising     power spectrum density     autoregressive model     time-frequency analysis     wastewater treatment    

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Short-term effects of excessive anaerobic reaction time on anaerobic metabolism of denitrifying polyphosphate

Gang GUO, Yayi WANG, Chong WANG, Hong WANG, Mianli PAN, Shaowei CHEN

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4,   Pages 616-624 doi: 10.1007/s11783-013-0505-4

Abstract: The short-term effect of anaerobic reaction time (AnRT) (i.e., 90, 120 and 150 min) on the denitrifyingIn conclusion, the short-term excessive anaerobic reaction time negatively impacted denitrifying P removal

Keywords： Denitrifying phosphorus removal     anaerobic reaction time     nitrous oxide     polyhydroxyalkanoate     free nitrous acid     fluorescence in-situ hybridization    

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Short-term and impending precursor of sand layer stress in Wenchuan Earthquake

Wang Baoyu,Tong Xiaohui,Sun Xiaoming ,Sun Wei

Strategic Study of CAE 2009, Volume 11, Issue 6,   Pages 146-152

Abstract: observed by this instrument and precursor of Indonesia Earthquake (M =8.7) on December 26, 2004.The short-termEarthquake recorded by the sand layer stress instrument was in accordance with this model.The observed short-term

Keywords： Wenchuan Earthquake     sand layer stress instrument     earthquake preparation physical model of sand layer stress     impending earthquake signal    

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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: synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligent forecastingWhen illustrating the method by an application to forecast mid and long term hydrological process ofamount of training samples, and gets relative membership degree matrix according to the correlation of forecastingfactors and forecasting objective, then takes the matrix as input of BP neural network to train link-weights, and finally, uses gained link-weight values to verify forecasting.

Keywords： fuzzy optimal selection     BP neural network     genetic algorithm     intelligent forecasting mode     mid and longterm intelligent hydrological forecasting    

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Title Author Date Type Operation

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

Short-term Load Forecasting Using Neural Network

Luo Mei

Journal Article

Effect of short-term atrazine addition on the performance of an anaerobic/anoxic/oxic process

Changyong WU, Xiaoling LI, Zhiqiang CHEN, Yongzhen PENG,

Journal Article

Anlotinib as third- or further-line therapy for short-term relapsed small-cell lung cancer: subgroup

Journal Article

Response of bacterial communities to short-term pyrene exposure in red soil

Jingjing PENG, Hong LI, Jianqiang SU, Qiufang ZHANG, Junpeng RUI, Chao CAI

Journal Article

Insights into simultaneous anammox and denitrification system with short-term pyridine exposure: Process

Journal Article

distal pancreatectomy versus conventional laparoscopic distal pancreatectomy: a comparative study for short-term

Eric C. H. Lai,Chung Ngai Tang

Journal Article

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Journal Article

An improved chaotic hybrid differential evolution for the short-term hydrothermal scheduling problem

Tahir Nadeem MALIK,Salman ZAFAR,Saaqib HAROON

Journal Article

The second short-term warm ischemia after vascular anastomosis did not affect early renal function recovery

Tao Qiu, Jiangqiao Zhou, Xiuheng Liu, Minghuan Ge, Zhiyuan Chen

Journal Article

Short-term effect of temperature variation on the competition between PAOs and GAOs during acclimation

Nanqi REN, Han KANG, Xiuheng WANG, Nan LI

Journal Article

Short-term prediction of influent flow rate and ammonia concentration in municipal wastewater treatment

Shuai MA, Siyu ZENG, Xin DONG, Jining CHEN, Gustaf OLSSON

Journal Article

Short-term effects of excessive anaerobic reaction time on anaerobic metabolism of denitrifying polyphosphate

Gang GUO, Yayi WANG, Chong WANG, Hong WANG, Mianli PAN, Shaowei CHEN

Journal Article

Short-term and impending precursor of sand layer stress in Wenchuan Earthquake

Wang Baoyu,Tong Xiaohui,Sun Xiaoming ,Sun Wei

Journal Article

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

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article