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1. Dynamic runoff simulation in a changing environment: A data stream approach

Author:
Yang, Qinli; Zhang, Heng; Wang, Guoqing; Luo, Shasha; Chen, Dongzi; Peng, Wanshan; Shao, Junming
Source:
Environmental modelling & software 2019 v.112 pp. 157-165
ISSN:
1364-8152
Subject:
runoff,   etc   ; hydrologic models; rain; temperature;     Show all 4 Subjects
Abstract:
... In this study, we introduce a data stream method for dynamic runoff simulation, which allows capturing the evolving relationship between runoff and its impact factors (e.g., temperature, rainfall). The basic idea is to view continuously arriving data of runoff and its impact factors as a data stream, and dynamically learn its relationship. To validate the effectiveness of the proposed method, we c ...
DOI:
10.1016/j.envsoft.2018.11.007

2. Tire and road wear particles in road environment – Quantification and assessment of particle dynamics by Zn determination after density separation

Author:
Klöckner, Philipp; Reemtsma, Thorsten; Eisentraut, Paul; Braun, Ulrike; Ruhl, Aki Sebastian; Wagner, Stephan
Source:
Chemosphere 2019 v.222 pp. 714-721
ISSN:
0045-6535
Subject:
runoff,   etc   ; particulates; sediments; tires; traffic; zinc;     Show all 6 Subjects
Abstract:
... In this study, a method for the determination of tire and road wear particle (TRWP) contents in particulate samples from road environment was developed. Zn was identified as the most suitable elemental marker for TRWP, due to its high concentration in tire tread and the possibility of separation from other Zn sources. The mean concentration of 21 tire samples was 8.7 ± 2.0 mg Zn/g. Before quantifi ...
DOI:
10.1016/j.chemosphere.2019.01.176

3. Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models

Author:
Zaherpour, Jamal; Mount, Nick; Gosling, Simon N.; Dankers, Rutger; Eisner, Stephanie; Gerten, Dieter; Liu, Xingcai; Masaki, Yoshimitsu; Müller Schmied, Hannes; Tang, Qiuhong; Wada, Yoshihide
Source:
Environmental modelling & software 2019 v.114 pp. 112-128
ISSN:
1364-8152
Subject:
runoff,   etc   ; artificial intelligence; hydrologic models; watersheds;     Show all 4 Subjects
Abstract:
... This study presents a novel application of machine learning to deliver optimised, multi-model combinations (MMCs) of Global Hydrological Model (GHM) simulations. We exemplify the approach using runoff simulations from five GHMs across 40 large global catchments. The benchmarked, median performance gain of the MMC solutions is 45% compared to the best performing GHM and exceeds 100% when compared t ...
DOI:
10.1016/j.envsoft.2019.01.003

4. Input Selection of Wavelet-Coupled Neural Network Models for Rainfall-Runoff Modelling

Author:
Shoaib, Muhammad; Shamseldin, Asaad Y.; Khan, Sher; Sultan, Muhammad; Ahmad, Fiaz; Sultan, Tahir; Dahri, Zakir Hussain; Ali, Irfan
Source:
Water resources management 2019 v.33 no.3 pp. 955-973
ISSN:
0920-4741
Subject:
runoff,   etc   ; hydrologic models; neural networks; wavelet;     Show all 4 Subjects
Abstract:
... The use of wavelet-coupled data-driven models is increasing in the field of hydrological modelling. However, wavelet-coupled artificial neural network (ANN) models inherit the disadvantages of containing more complex structure and enhanced simulation time as a result of use of increased multiple input sub-series obtained by the wavelet transformation (WT). So, the identification of dominant wavele ...
DOI:
10.1007/s11269-018-2151-x

5. On the Effect of Intermittent Nonstationarity of Long-Term Changes in the River Runoff

Author:
Solomonova, I. V.; Yushkov, V. P.; Dobrovolski, S. G.
Source:
Water resources 2018 v.45 no.Supplement 2 pp. 99-109
ISSN:
0097-8078
Subject:
runoff,   etc   ; effluents; rivers;     Show all 3 Subjects
Abstract:
... Based on the analysis of 162 longest (more than 100 years each) series of annual, maximal, and minimal runoff in rivers of different genetic types, the regularities of changes in the degree of stationarity/nonstationarity of the runoff changes are studied. It is shown that changes in the average annual and maximum runoff in the rivers of the “main” type—non-effluent, unregulated, as well as in the ...
DOI:
10.1134/S0097807818060295

6. Correction to: Effects of the morphology of sediment-transporting channels on the erosion and deposition of debris flows

Author:
He, Songtang; Wang, Daojie; Chang, Shiqiu; Fang, Yingchao; Lan, Huijuan
Source:
Environmental earth sciences 2018 v.77 no.17 pp. 599
ISSN:
1866-6280
Subject:
runoff,   etc   ; basins; mass movement;     Show all 3 Subjects
Abstract:
... In the original publication, the reference “Gregoretti C, Fontana GD (2008) The triggering of debris flow due to channel-bed failure in some alpine headwater basins of the Dolomites: analyses of critical runoff. Hydrol Process 22(13):2248–2263” is published wrong. ...
DOI:
10.1007/s12665-018-7763-1

7. PRMS-Python: A Python framework for programmatic PRMS modeling and access to its data structures

Author:
Volk, John M.; Turner, Matthew A.
Source:
Environmental modelling & software 2019 v.114 pp. 152-165
ISSN:
1364-8152
Subject:
runoff,   etc   ; case studies; hydrologic models; metadata; provenance; solar radiation;     Show all 6 Subjects
Abstract:
... A persistent problem in numerical hydrologic modeling, is tracking provenance or how particular data came to be. With multiple modules available for individual flux parameterizations and over 100 parameters, the Precipitation-Runoff Modeling System (PRMS) is a perfect example of why it is such a challenge to track the history of input and output of complex models. We present a lightweight, object- ...
DOI:
10.1016/j.envsoft.2019.01.006

8. Considering the effect of groundwater on bioretention using the Storm Water Management Model

Author:
Kim, Hwansuk; Mallari, Kristine Joy B.; Baek, Jongrak; Pak, Gijung; Choi, Hyun Il; Yoon, Jaeyoung
Source:
Journal of environmental management 2019 v.231 pp. 1270-1276
ISSN:
0301-4797
Subject:
runoff,   etc   ; bioretention areas; groundwater; hydrologic models; pollutants; prediction; watersheds;     Show all 7 Subjects
Abstract:
... The Storm Water Management Model (SWMM), with its recently released low impact development (LID) module, is among several models used for the performance evaluation of LID facilities in reducing runoff and pollutants. Modeling is often difficult because of the variety of factors affecting the LID system. Among these factors, the effect of groundwater can be important in the LID modeling results du ...
DOI:
10.1016/j.jenvman.2018.03.032

9. Data-based bivariate uncertainty assessment of extreme rainfall-runoff using copulas: comparison between annual maximum series (AMS) and peaks over threshold (POT)

Author:
Dodangeh, Esmaeel; Shahedi, Kaka; Solaimani, Karim; Shiau, Jenq-Tzong; Abraham, John
Source:
Environmental monitoring and assessment 2019 v.191 no.2 pp. 67
ISSN:
0167-6369
Subject:
runoff,   etc   ; bivariate analysis; planning; probabilistic models; rain; uncertainty; watersheds; Iran;     Show all 8 Subjects
Abstract:
... Bivariate frequency analysis of extreme rainfall and runoff is crucial for water resource planning and management in a river basin. This study is aimed at accounting for uncertainties in bivariate analysis of extreme rainfall-runoff frequency in the Taleghan watershed, one of the major watersheds in northern Iran, using copulas. Two types of paired rainfall and runoff data, including annual maximu ...
DOI:
10.1007/s10661-019-7202-0

10. Evaluating Different Machine Learning Models for Runoff and Suspended Sediment Simulation

Author:
Kumar, Ashish; Kumar, Pravendra; Singh, Vijay Kumar
Source:
Water resources management 2019 v.33 no.3 pp. 1217-1231
ISSN:
0920-4741
Subject:
runoff,   etc   ; basins; fuzzy logic; neural networks; prediction; sediments; suspended sediment;     Show all 7 Subjects
Abstract:
... In the present study, prediction of runoff and sediment at Polavaram and Pathagudem sites of the Godavari basin was carried out using machine learning models such as artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). Different combinations of antecedent stage, current day stage and antecedent runoff for current day runoff prediction and antecedent runoff, current da ...
DOI:
10.1007/s11269-018-2178-z

11. Impact of reservoir operation on runoff and sediment load at multi-time scales based on entropy theory

Author:
Zhang, Jinping; Xiao, Honglin; Zhang, Xin; Li, Fawen
Source:
Journal of hydrology 2019 v.569 pp. 809-815
ISSN:
0022-1694
Subject:
runoff,   etc   ; entropy; monitoring; pollution load; sediment yield; Yellow River;     Show all 6 Subjects
Abstract:
... Based on the runoff and sediment load data series obtained at the Guide hydrological station (GHS) in the upper reaches of the Yellow River from 1960 to 2013, the varying quasi-periodic fluctuations of runoff and sediment load existing in different decomposed time scales are revealed by using the complementary ensemble empirical mode decomposition (CEEMD) method pre- and post-reservoir operation. ...
DOI:
10.1016/j.jhydrol.2019.01.005

12. Reverification of antecedent moisture condition dependent runoff curve number formulae using experimental data of Indian watersheds

Author:
Lal, Mohan; Mishra, S.K.; Kumar, Mukesh
Source:
Catena 2019 v.173 pp. 48-58
ISSN:
0341-8162
Subject:
runoff,   etc   ; agricultural land; antecedent moisture; data collection; rain; watersheds; India;     Show all 7 Subjects
Abstract:
... The present study evaluates the performance of five existing and three proposed antecedent moisture condition (AMC)-based runoff curve number (CN) conversion formulae utilizing the data of a large number of naturally observed rainfall (P)–runoff (Q) for an agricultural field located at Roorkee, Uttarakhand, India and available published data around the globe. For developing the proposed formulae, ...
DOI:
10.1016/j.catena.2018.09.002

13. Upper and Lower Bound Interval Forecasting Methodology Based on Ideal Boundary and Multiple Linear Regression Models

Author:
Li, Wei; Zhou, Jianzhong; Chen, Lu; Feng, Kuaile; Zhang, Hairong; Meng, Changqing; Sun, Na
Source:
Water resources management 2019 v.33 no.3 pp. 1203-1215
ISSN:
0920-4741
Subject:
runoff,   etc   ; algorithms; experts; models; prediction; regression analysis; uncertainty; Yangtze River;     Show all 8 Subjects
Abstract:
... The uncertainty research of hydrological forecast attracts the attention of a host of hydrological experts. Prediction Interval (PI) is a convinced method that can ensure the forecasting accuracy meanwhile take uncertainty range into consideration. While the existed Prediction Interval methods need algorithm optimization and are susceptible to local optima, so it is particularly urgent to provide ...
DOI:
10.1007/s11269-018-2177-0

14. Effect of rainfall uncertainty on the performance of physically based rainfall–runoff models

Author:
Fraga, Ignacio; Cea, Luis; Puertas, Jerónimo
Source:
Hydrological processes 2019 v.33 no.1 pp. 160-173
ISSN:
0885-6087
Subject:
runoff,   etc   ; hydrologic models; rain; storms; uncertainty; watersheds; Atlantic Ocean; Spain;     Show all 8 Subjects
Abstract:
... This paper analyses the effect of rain data uncertainty on the performance of two hydrological models with different spatial structures: a semidistributed and a fully distributed model. The study is performed on a small catchment of 19.6 km² located in the north‐west of Spain, where the arrival of low pressure fronts from the Atlantic Ocean causes highly variable rainfall events. The rainfall fiel ...
DOI:
10.1002/hyp.13319

15. Geomorphological instantaneous unit hydrograph model with distributed rainfall

Author:
Goñi, Mikel; López, J. Javier; Gimena, Faustino N.
Source:
Catena 2019 v.172 pp. 40-53
ISSN:
0341-8162
Subject:
runoff,   etc   ; geomorphology; hydrograph; models; rain; rain gauges; subwatersheds; Spain;     Show all 8 Subjects
Abstract:
... Two variants of the Instantaneous Unit Hydrograph model based on a Geomorphological association of linear Reservoirs (IUHGR), incorporating the Spatial Variability of Rainfall (SVR), have been developed. The proposed models are based on the Geomorphological Reservoirs (GR) scheme consisting of a cascade of linear reservoirs aggregating sub-watersheds. The model, in its first version, was formulate ...
DOI:
10.1016/j.catena.2018.08.010

16. Using ensemble precipitation forecasts and a rainfall-runoff model for hourly reservoir inflow forecasting during typhoon periods

Author:
Lee, Kwan Tun; Ho, Jui-Yi; Kao, Hong-Ming; Lin, Gwo-Fong; Yang, Tsun-Hua
Source:
Journal of hydro-environment research 2019 v.22 pp. 29-37
ISSN:
1570-6443
Subject:
runoff,   etc   ; hydrograph; hydrologic models; hydrometeorology; rain; typhoons; uncertainty; Taiwan;     Show all 8 Subjects
Abstract:
... This study proposes an integrated hydrometeorological system combining a fully physically based rainfall-runoff model (i.e., kinematic-wave-based geomorphologic instantaneous unit hydrograph model, KW-GIUH) with a numerical weather model (i.e., Taiwan cooperative precipitation ensemble forecast experiment, TAPEX) for performing hourly reservoir inflow forecasting patterns in the Shihmen Reservoir, ...
DOI:
10.1016/j.jher.2018.05.002

17. Long-Term Variations of Maximal Water Levels in the Lower Amur

Author:
Alekseevskii, N.I.; Yumina, N.M.
Source:
Water resources 2018 v.45 no.1 pp. 1-11
ISSN:
0097-8078
Subject:
runoff,   etc   ; basins; stream flow; watersheds;     Show all 4 Subjects
Abstract:
... The specific features of formation of maximal water levels in the lower Amur R. are studied. They are correlated with streamflow formation factors in different parts of the Amur Basin and Zeya R. flow regulation. Water level variations in high-water season of the year were analyzed for 1955−2013, including the periods of natural runoff variations (1955−1979) and after the start of Zeya Hydroengine ...
DOI:
10.1134/S0097807818010037

18. Channels, terraces, pottery, and sediments – A comparison of past irrigation systems along a climatic transect in northern Jordan

Author:
Lucke, Bernhard; al-Karaimeh, Sufyan; Schörner, Günther
Source:
Journal of arid environments 2019 v.160 pp. 56-73
ISSN:
0140-1963
Subject:
runoff; runoff irrigation,   etc   ; Mediterranean climate; cities; dry environmental conditions; hinterland; irrigation canals; land use; loess; nutrients; rainfed farming; rocks; soil; steppes; surveys; terraces; water resources; Jordan;     Show all 18 Subjects
Abstract:
... This contribution compares the remains of irrigation systems along a climatic transect in northern Jordan: Gadara (today Umm Qeis) in the north-west, Abila (today Queilbeh) in the north, and Umm el-Jimal (ancient name unknown) in north-east Jordan. While Gadara and Abila were monumental ancient cities of the Decapolis city league, which are located in Mediterranean environments, Umm el-Jimal is a ...
DOI:
10.1016/j.jaridenv.2018.09.009

19. The impacts of porous rock check dams on a semiarid alluvial fan

Author:
Nichols, M.H.; Polyakov, V.O.
Source:
The Science of the total environment 2019 v.664 pp. 576-582
ISSN:
0048-9697
Subject:
runoff,   etc   ; backfilling; incising; land degradation; monitoring; pollution load; sediment yield; sediments; vegetation; watersheds; Arizona;     Show all 11 Subjects
Abstract:
... Low-tech rock check dams are widely used to address land degradation; however, assessments of their impacts on runoff and sediment are lacking and are often limited to the first few years after construction. In 2008, two small (4.0 and 3.1 ha) instrumented watersheds located 300 m apart on an alluvial fan on the Santa Rita Experimental Range in southern Arizona were treated with 37 porous, loose r ...
DOI:
10.1016/j.scitotenv.2019.01.429

20. Climate background, relative rate, and runoff effect of multiphase water transformation in Qilian Mountains, the third pole region

Author:
Li, Zongxing; Yuan, Ruifeng; Feng, Qi; Zhang, Baijuan; Lv, Yueming; Li, Yongge; Wei, Wei; Chen, Wen; Ning, Tingting; Gui, Juan; Shi, Yang
Source:
The Science of the total environment 2019 v.663 pp. 315-328
ISSN:
0048-9697
Subject:
runoff,   etc   ; climate; flood control; glaciers; mountains; permafrost; rivers; snow; snowmelt; vegetation; China;     Show all 11 Subjects
Abstract:
... Multiphase water transformation has great effects on alpine hydrology, but these effects remain unclear in the third pole region. Taking the Qilian Mountains as an example, the climate background and relative rates of multiphase water transformation were analyzed, and the runoff effect was evaluated based on long-term field observations. There are three climatic aspects driving multiphase water tr ...
DOI:
10.1016/j.scitotenv.2019.01.339