Hydrology Research最新文献_第3页

Bivariate regional drought frequency analysis using multivariate approaches: a case study in southwestern Iran 利用多变量方法进行二元区域干旱频率分析：伊朗西南部案例研究

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-02-01 DOI: 10.2166/nh.2024.160

Hanie Pashaie, S. S. M. Nadoushani, Ali Moridi, Ali Ahani

{"title":"Bivariate regional drought frequency analysis using multivariate approaches: a case study in southwestern Iran","authors":"Hanie Pashaie, S. S. M. Nadoushani, Ali Moridi, Ali Ahani","doi":"10.2166/nh.2024.160","DOIUrl":"https://doi.org/10.2166/nh.2024.160","url":null,"abstract":"\u0000 Bivariate approaches in Regional Frequency Analysis (RFA) address two issues: first, to evaluate the homogeneity of regions, and second, to estimate the joint return periods. This study was conducted to investigate the joint return period of a severe historical drought in southwestern Iran. Fifty-nine rain gauges were first clustered into three, four, and five regions using the fuzzy c-means clustering (FCM) algorithm. Then bivariate discordancy and homogeneity tests were applied to adjust the initial clusters. The results showed that only in the case of three clusters all the regions were homogeneous. Therefore, it can be inferred that combining clustering analysis and discordancy test is insufficient to form homogeneous regions. Finally, the joint return period, by choosing Generalized Logistic and Wakeby as marginal distributions and Clayton as a copula, was estimated for all the sites in the three regions. Since no three-parameter distribution function fitted well to the variable severity, the bivariate homogeneity index does not necessarily attest to region homogeneity regarding the marginal distribution functions. it is also deduced that sites with higher mean annual precipiataion (MAP) and, correspondingly, higher elevation are more likely to experience shorter return periods of same drought events, in contrast to sites with lower MAP or lower elevation.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"52 5-6","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139890983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hydrological effects of open ditch damming and controlled subsurface drainage in a Nordic agricultural field 北欧农田明沟筑坝和受控地下排水的水文影响

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-02-01 DOI: 10.2166/nh.2024.053

Kielo Isomäki, Aleksi Salla, H. Salo, H. Koivusalo

{"title":"Hydrological effects of open ditch damming and controlled subsurface drainage in a Nordic agricultural field","authors":"Kielo Isomäki, Aleksi Salla, H. Salo, H. Koivusalo","doi":"10.2166/nh.2024.053","DOIUrl":"https://doi.org/10.2166/nh.2024.053","url":null,"abstract":"\u0000 Controlled drainage (CRD) is an agricultural water management practice designed to adjust the capacity of a drainage system under varying hydrological conditions. This simulation study aimed to quantify the potential of combining a controlled subsurface drainage (CS) with open ditch damming (CD) to manage the water table depth (WTD) and field water balance in Nordic conditions. Simulations with and without controlled drainage were run using a hydrological model that had been set up for a flat loamy field in Northern Ostrobothnia, Finland, for the period 2010–2021. All CRD scenarios reduced the probability of deep WTDs during growing seasons (May–Sep). The impact of CS on WTDs was greater and more uniform than CD. The CRD effects on water balance were seen in water outflow pathways, as CS reduced drain discharge while CD had the opposite effect. When both methods were applied simultaneously, annual evapotranspiration increased 5–12% compared with the free drainage scenario. The effects of CRD on evapotranspiration were greatest during the dry years indicating that CRD has potential to reduce drought in food production areas. None of the CRD scenarios could maintain optimal WTDs during the entire growing season, highlighting the complexity of optimizing field water management using CRD alone.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"53 ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139830207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating groundwater recharge rates in the Upper Awash Basin, Ethiopia under different combinations of model complexity and objective functions 在不同的模型复杂性和目标函数组合下估算埃塞俄比亚上阿瓦士盆地的地下水补给率

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-02-01 DOI: 10.2166/nh.2024.059

Muauz Amare Redda, Behailu Birhanu, Bediru Hussien

{"title":"Estimating groundwater recharge rates in the Upper Awash Basin, Ethiopia under different combinations of model complexity and objective functions","authors":"Muauz Amare Redda, Behailu Birhanu, Bediru Hussien","doi":"10.2166/nh.2024.059","DOIUrl":"https://doi.org/10.2166/nh.2024.059","url":null,"abstract":"\u0000 Reliable quantification of groundwater recharge rate is crucial for the sustainable utilization of groundwater resources. However, little information is documented about the uncertainty associated with recharge rate estimation from the different combinations of model complexity and objective function perspectives. Therefore, this study aims to (i) analyze the sensitivity of the model parameters under different combinations of model complexities and objective functions and (ii) estimate the groundwater recharge rate in the Hombele catchment, Upper Awash Basin, Ethiopia, for different combinations of objective functions and model complexities. The effect of these model complexities in estimating groundwater recharge rate and parametrizing model parameters was quantified for the period 1986–2013. A total of 10 combinations of model complexities and objective functions were used for the analysis. The Kling–Gupta efficiency (Nash–Sutcliffe efficiency) values for calibration, validation, and the whole period are 0.89 (0.80), 0.80 (0.73), and 0.87 (0.77), respectively, when a semi-distributed HBV-light model was used. For all objective functions, we found that the average annual recharge rate of the study catchment ranges from 185.9 to 280.5 mm when the HBV-light model was considered as a semi-distributed model. In contrast, the average annual recharge rate ranges from 185.3 to 321.7 mm when applying the HBV-light model as a lumped model.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"81 ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139829503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China 基于深度学习的混合方法，用于中国西北干旱地区多时段河水流量预测

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-01-10 DOI: 10.2166/nh.2024.124

J. J. Fang, Linshan Yang, Xiaohu Wen, Weide Li, Haijiao Yu, Ting Zhou

{"title":"A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China","authors":"J. J. Fang, Linshan Yang, Xiaohu Wen, Weide Li, Haijiao Yu, Ting Zhou","doi":"10.2166/nh.2024.124","DOIUrl":"https://doi.org/10.2166/nh.2024.124","url":null,"abstract":"\u0000 \u0000 Accurate streamflow prediction is crucial for effective water resource management. However, reliable prediction remains a considerable challenge because of the highly complex, non-stationary, and non-linear processes that contribute to streamflow at various spatial and temporal scales. In this study, we utilized a convolutional neural network (CNN)–Transformer–Long short-term memory (LSTM) (CTL) model for streamflow prediction, which replaced the embedding layer with a CNN layer to extract partial hidden features, and added a LSTM layer to extract correlations on a temporal scale. The CTL model incorporated Transformer's ability to extract global information, CNN's ability to extract hidden features, and LSTM's ability to capture temporal correlations. To validate its effectiveness, we applied it for streamflow prediction in the Shule River basin in northwest China across 1-, 3-, and 6-month horizons and compared its performance with Transformer, CNN, LSTM, CNN–Transformer, and Transformer–LSTM. The results demonstrated that CTL outperformed all other models in terms of predictive accuracy with Nash–Sutcliffe coefficient (NSE) values of 0.964, 0.912, and 0.856 for 1-, 3-, 6-month ahead prediction. The best results among the five comparative models were 0.908, 0.824, and 0.778, respectively. This indicated that CTL is an outstanding alternative technique for streamflow prediction where surface data are limited.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"92 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139440233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emergency intervention modes for ice jam events in large-scale water diversion projects 大型引水工程冰塞事件应急干预模式

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-09-07 DOI: 10.2166/nh.2023.029

Zepeng Xu, Mengkai Liu, Guanghua Guan, Xinlei Guo

{"title":"Emergency intervention modes for ice jam events in large-scale water diversion projects","authors":"Zepeng Xu, Mengkai Liu, Guanghua Guan, Xinlei Guo","doi":"10.2166/nh.2023.029","DOIUrl":"https://doi.org/10.2166/nh.2023.029","url":null,"abstract":"\u0000 The formation of ice jams is sudden, and they will cause abnormal water level fluctuations in water diversion projects, affecting the water supply and even causing severe flood disasters. Based on the characteristics of the Middle Route of the South-to-North Water Diversion Project, this paper uses the numerical simulation method to establish an emergency intervention effect simulation model for ice jam events. The hydraulic response characteristics of the project under gate group scheduling and taking different emergency measures are analyzed with the water level deviation and stabilization time consumption of the pool as indicators. Moreover, this paper proposes an emergency intervention mode for ice jam events. The results show that using the gate group scheduling after ice jam events will cause a sharp rise in the upstream water level of the pool where the ice jams are located. Also, compared with other emergency measures, the electric heating ice melting measure has less influence on water level, and the de-icing effect is better. Finally, the emergency intervention mode can significantly reduce the maximum water level deviation and shorten the time required to stabilize the water level.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48644275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Multi-criteria analysis using satellite images and the GIS for mapping groundwater recharge zones in Saudi Arabia: a case study of the Riyadh Region 利用卫星图像和地理信息系统绘制沙特阿拉伯地下水补给区的多标准分析:以利雅得地区为例研究

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-09-06 DOI: 10.2166/nh.2023.028

Mashael Al Saud

{"title":"Multi-criteria analysis using satellite images and the GIS for mapping groundwater recharge zones in Saudi Arabia: a case study of the Riyadh Region","authors":"Mashael Al Saud","doi":"10.2166/nh.2023.028","DOIUrl":"https://doi.org/10.2166/nh.2023.028","url":null,"abstract":"\u0000 \u0000 Water scarcity is well pronounced in arid and semiarid regions where potential evapotranspiration exceeds precipitation. Saudi Arabia is one of the most water-scarce regions worldwide where there are only 2 billion m3 of annual renewable freshwater resources, besides 24 billion m3 of freshwater withdrawal, especially from the aquifers with fossil water. In Saudi Arabia, floods often occur and the harvest of flood water for groundwater recharge became an issue of discussion; however, this requires determining groundwater recharge potential (GWRP) zones where water naturally percolates and feeds the depleted aquifers. This study aims to produce a detailed (digital) map for GWRP zones for the Riyadh Region by using a multicriteria approach where datasets were derived from satellite images (Landsat 7 ETM+, Spot-5, and Aster) associated with thematic maps and field surveys. The geo-information system (GIS) was also used to manipulate and integrate the geospatial data layers which represent the controlling factors on GWRP. Results show five classes of GWRP zones, where about 36,448 km2 (89.2% of the Riyadh Region) belong to high and very high GWRP. The resulting map will be key information for decision-makers to select suitable localities for groundwater artificial recharge techniques as an adaptive measure for the changing climate.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48425301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comprehensive method to estimate flood levels of rivers subject to ice jams: a case study of the Chaudière River, Québec, Canada 估算受冰塞影响的河流洪水水位的综合方法:以加拿大quacimubec的chaudi<s:1> re河为例

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-09-06 DOI: 10.2166/nh.2023.201

Jean-Robert Ladouceur, Brian Morse, K. Lindenschmidt

{"title":"A comprehensive method to estimate flood levels of rivers subject to ice jams: a case study of the Chaudière River, Québec, Canada","authors":"Jean-Robert Ladouceur, Brian Morse, K. Lindenschmidt","doi":"10.2166/nh.2023.201","DOIUrl":"https://doi.org/10.2166/nh.2023.201","url":null,"abstract":"\u0000 The main difference between an open-water (regular) flood and an ice jam flood is that it is normally the whole river length that is overtopped whereas an ice jam flood is localized to where the jam is located. Comparatively, the regular flood analysis can use the value of the extreme discharge as the main input parameter for a long river section, an ice jam flood needs to account for the probability of jams of various lengths and intensities occurring at specific locations under significantly variable discharges while having several mechanical ice parameters to be considered. Through the case study of the Chaudière River, the methodology presented in this paper demonstrates how to statistically characterize four significant inputs (jam location, jam length, jam properties and river discharge during jam event) into the widely used numerical river water model (HEC-RAS) and how Monte–Carlo simulations are generated to estimate probable ice jam floods along a whole river reach. The purpose of this article is to propose a robust methodology through a case study and asses the sensitivity that historical and mechanical parameters have as to why specific locations along the reach have higher 1:100 AEP ice-induced water levels as to 1:100 AEP open-water levels.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49029543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Effect of water temperature on internal nitrogen release from sediments in the Pearl River Delta region, China 水温对珠江三角洲沉积物内部氮释放的影响

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-08-31 DOI: 10.2166/nh.2023.056

Dantong Zhu, Xiangju Cheng, D. Sample, Q. Qiao, Zhaowei Liu

{"title":"Effect of water temperature on internal nitrogen release from sediments in the Pearl River Delta region, China","authors":"Dantong Zhu, Xiangju Cheng, D. Sample, Q. Qiao, Zhaowei Liu","doi":"10.2166/nh.2023.056","DOIUrl":"https://doi.org/10.2166/nh.2023.056","url":null,"abstract":"\u0000 \u0000 Nitrogen (N) has received attention as an indicator of water quality and pollution. However, there is still a lack of systematic research on its influence of temperature. An experiment was conducted with five tanks containing sediments from the Pearl River Delta region of China and distilled water to assess the release of N from sediments under controlled conditions; temperatures from 10 to 30 °C were assessed. Results show that the effect of temperature on N in the water column and sediment is nonlinear. NO3-N was affected at temperatures between 20 and 25 °C in shallow sediments (1–3 cm below the sediment–water interface) with rapid increase concentration, while NH4-N concentration in water column was decreased significantly with increased temperature between 10 and 15 °C. NO3-N was dominant at temperatures from 25 to 30 °C. However, the presence of NH4-N in a water body can inhibit its release, thus the relationship between the diffusive flux with temperature is not linear. The relationship between N diffusive flux at the sediment–water interface was described by Polynomial2D and Lorentz2D models.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43909083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of hourly inflow for reservoirs at mountain catchments using residual error data and multiple-ahead correction technique 利用残差数据和多次正校正技术预测山区集水区水库每小时来水

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-08-28 DOI: 10.2166/nh.2023.072

W. Guo, Wei-Bo Chen, Chih-Hsin Chang

{"title":"Prediction of hourly inflow for reservoirs at mountain catchments using residual error data and multiple-ahead correction technique","authors":"W. Guo, Wei-Bo Chen, Chih-Hsin Chang","doi":"10.2166/nh.2023.072","DOIUrl":"https://doi.org/10.2166/nh.2023.072","url":null,"abstract":"\u0000 \u0000 This study coupled the ensemble learning method with residual error (RE) correction to propose a more accurate hydrologic model for the time-series prediction of the reservoir inflow. To enhance the prediction capability of the model in mountain catchment, three deep learning (DL) models, namely the encoder–decoder gated recurrent units (ED-GRU), encoder–decoder long short-term memory network (ED-LSTM), and combined convolutional neural network with LSTM (CNN-LSTM), were deployed to train reservoir inflow prediction model for the lead times of 1–24 h. The prediction outputs from three DL models were then incorporated into the categorical gradient boosting regression (CGBR) model to resolve the highly non-linear relationship between model inputs and outputs. In the final procedure, the RE correction method was implemented by using the outcomes of the CGBR model to construct the proposed hybrid model. The proposed model was applied to simulate the hourly inflow in the Shihmen and Feitsui Reservoirs. The proposed model achieved improved performance by an average proportion of 66.2% compared to the three DL models. It is demonstrated that the proposed model is accurate in predicting the reservoir peak and total inflows and also performs well for storm events with multi-peak hydrographs.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"1 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67905872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sensitivity and identifiability analysis of a conceptual-lumped model in the headwaters of the Benue River Basin, Cameroon: implications for uncertainty quantification and parameter optimization 喀麦隆贝努埃河流域上游概念集总模型的敏感性和可识别性分析:对不确定性量化和参数优化的影响

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2023-08-16 DOI: 10.2166/nh.2023.243

R. M. Nonki, E. Amoussou, A. Lenouo, R. Tshimanga, C. Houndénou

{"title":"Sensitivity and identifiability analysis of a conceptual-lumped model in the headwaters of the Benue River Basin, Cameroon: implications for uncertainty quantification and parameter optimization","authors":"R. M. Nonki, E. Amoussou, A. Lenouo, R. Tshimanga, C. Houndénou","doi":"10.2166/nh.2023.243","DOIUrl":"https://doi.org/10.2166/nh.2023.243","url":null,"abstract":"\u0000 \u0000 Many hydrological applications employ conceptual-lumped models to support water resource management techniques. This study aims to evaluate the workability of applying a daily time-step conceptual-lumped model, HYdrological MODel (HYMOD), to the Headwaters Benue River Basin (HBRB) for future water resource management. This study combines both local and global sensitivity analysis (SA) approaches to focus on which model parameters most influence the model output. It also identifies how well the model parameters are defined in the model structure using six performance criteria to predict model uncertainty and improve model performance. The results showed that both SA approaches gave similar results in terms of sensitive parameters to the model output, which are also well-identified parameters in the model structure. The more precisely the model parameters are constrained in the small range, the smaller the model uncertainties, and therefore the better the model performance. The best simulation with regard to the measured streamflow lies within the narrow band of model uncertainty prediction for the behavioral parameter sets. This highlights that the simulated discharges agree with the observations satisfactorily, indicating the good performance of the hydrological model and the feasibility of using the HYMOD to estimate long time-series of river discharges in the study area.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44867762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0