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Proposal and Application of a New Theoretical Framework of Uncertainty Estimation in Rainfall Runoff Process Based on the Theory of Stochastic Process

Yoshimasa Morooka, Daiwei Cheng, Kazuhiro Yoshimi, Chao-Wen Wang, Tadashi Yamada
2016 Procedia Engineering  
As a result, we introduce the theory of stochastic process to runoff analysis.  ...  We indicate the theoretical framework to evaluate the uncertainties using the relationship among stochastic differential equation (SDE) and Fokker-Planck equation (FPE), because the lumped rainfall-runoff  ...  And, we indicate the theoretical framework to evaluate the uncertainties using the relationship among stochastic differential equation (SDE) and Fokker-Planck equation (FPE).  ... 
doi:10.1016/j.proeng.2016.07.556 fatcat:bagwtyzjujde7lfxvocw674hwi

Stochastic Watershed Water Quality Simulation for TMDL Development - A Case Study in the Newport Bay Watershed1

Yi Zheng, Arturo A. Keller
2008 Journal of the American Water Resources Association  
The Watershed Analysis Risk Management Framework model was used as an example of a complex watershed model.  ...  In this study, we applied MOCAU to analyze diazinon loading in the Newport Bay watershed (Southern California).  ...  UNCERTAINTY FRAMEWORK AND MOCAU Zheng and Keller (2007a) proposed a two-stage uncertainty framework within the context of watershed water quality management.  ... 
doi:10.1111/j.1752-1688.2008.00232.x fatcat:zw3xl3dikzg5ln6bbzl36kjw5m

An Indirect Simulation-Optimization Model for Determining Optimal TMDL Allocation under Uncertainty

Feng Zhou, Yanjun Dong, Jing Wu, Jiangli Zheng, Yue Zhao
2015 Water  
Our results indicated that the BRRT-EILP model could identify critical sub-watersheds faster than the traditional one and requires lower reduction of nutrient loadings compared to traditional stochastic  ...  To convert the traditional direct simulation-optimization model into our indirect equivalent model framework, we proposed a two-step strategy: (1) application of interval regression equations derived by  ...  Conclusions In this study, we developed a BRRT-EILP model to serve as an indirect SOM framework for risk-based optimal TMDL allocation.  ... 
doi:10.3390/w7116634 fatcat:2peamx5gjbdnvil6aheqskliyu

A fuzzy-stochastic OWA model for robust multi-criteria decision making

Mahdi Zarghami, Ferenc Szidarovszky, Reza Ardakanian
2008 Fuzzy Optimization and Decision Making  
Since the evaluations of alternatives with respect to the criteria are uncertain they will be assumed to have stochastic nature.  ...  Then a new approach for fuzzy-stochastic modeling of MCDM problems will be introduced by merging the stochastic and fuzzy approaches into the OWA operator.  ...  Effective watershed management requires integration of data, mathematical models, and experts' judgments to solve practical problems and provide a scientific basis for decision making at the watershed  ... 
doi:10.1007/s10700-007-9021-y fatcat:lngpqfeqsrab5iorge24wfud24

Multiple attribute decision analysis for ecosystem management

Tony Prato
1999 Ecological Economics  
Implementation of an ecosystem approach to natural resource management requires evaluation of a broad array of ecological services in a multidimensional, community-based watershed approach that empowers  ...  The MADM model described in this paper explains how a property manager selects the most preferred LWRMS for a property based on their multiple stochastic attributes.  ...  water resource management decisions; (2) present a conceptual framework for implementing MADM in property management and evaluating sustainable resource management in watersheds and (3) develop a method  ... 
doi:10.1016/s0921-8009(99)00002-6 fatcat:5howpainnvfdzjgwlt5f5kvvaq

Probability density function of object contours using regional regularized stochastic watershed

F. Lopez-Mir, V Naranjo, S. Morales, J. Angulo
2014 2014 IEEE International Conference on Image Processing (ICIP)  
The objective is to obtain a pdf of the object contours with less noise and better contrast than that produced by the stochastic watershed to use it as a new gradient image for segmentation purposes.  ...  In this paper, a probability density function of object contours based on the stochastic watershed transform is carried out.  ...  The stochastic watershed uses a different strategy due to the random definition of the markers.  ... 
doi:10.1109/icip.2014.7025965 dblp:conf/icip/Lopez-MirNMA14 fatcat:zb7czymljzbnjjvi6fu4ashhxq

Watershed-Scale Economic and Environmental Tradeoffs Incorporating Risks: A Target MOTAD Approach

Zeyuan Qiu, Tony Prato, Michael Kaylen
1998 Agricultural and Resource Economics Review  
The Target MOTAD model is modified by imposing a probability-constrained objective function to capture the yield uncertainty caused by random allocation of farming systems to soil types and by introducing  ...  This framework is used to determine the tradeoff frontier between watershed net return and sediment yield and nitrogen concentration in runoff in Goodwater Creek watershed, Missouri.  ...  Wu (1994) used a chance-constrained programming model to evaluate the stochastic nature of net returns and environmental impacts and the economic and environmental tradeoffs in an agricultural watershed  ... 
doi:10.1017/s1068280500006547 fatcat:eiz64s37x5ddliv35flmvoluwq

A simulation-based two-stage interval-stochastic pro-gramming model for water resources management in Kaidu-Konqi watershed, China

Yue HUANG, Xi CHEN, YongPing LI, AnMing BAO, YongGang MA
2012 Journal of Arid Land  
This study presented a simulation-based two-stage interval-stochastic programming (STIP) model to support water resources management in the Kaidu-Konqi watershed in Northwest China.  ...  The modeling system coupled a distributed hydrological model with an interval two-stage stochastic programing (ITSP).  ...  In order to evaluate the accuracy of the results, the study made a comparison between the model results and the actual allocation.  ... 
doi:10.3724/sp.j.1227.2012.00390 fatcat:3e2qwdcc4ncfrk7l23vep4dwzy

The Value of Hydraulic Conductivity Information for the Optimal Restoration of an Over-exploited Aquifer

P. Sidiropoulos, N. Mylopoulos
2015 Procedia Environmental Sciences  
A stochastic management tool is developed and applied in order to evaluate the worth of hydraulic conductivity data on the optimal restoration and quantitative management of the over-exploited aquifer  ...  Monte Carlo realizations of hydraulic conductivity are being performed with the use of geostatistical tools and imported to the groundwater model to give multiple stochastic realizations of the aquifer  ...  Materials and Methods Modeling System To satisfy the needs of integrated modeling, a modeling system has been formed and applied for the simulation of water resources at watershed scale.  ... 
doi:10.1016/j.proenv.2015.04.031 fatcat:fl5bpguaonh7vmdidab7tgscfm

Prediction of direct runoff hydrographs utilizing stochastic network models: a case study in South Korea

Y. Seo, S.-Y. Park
2014 Hydrology and Earth System Sciences Discussions  
We evaluated the stochastic network models in terms of reproducing the actual width function and also the robustness of the semi-distributed model (WFIUH) in application to a test watershed in South Korea  ...  </strong> In this study, we combine stochastic network models that reproduce the actual width function and the width function based instantaneous unit hydrograph (WFIUH) that directly makes use of a width  ...  aims to combine stochastic network models that reproduces the width function of a watershed and a semi-distributed hydrologic model that directly utilizes the width function and converts it to a runoff  ... 
doi:10.5194/hessd-11-11247-2014 fatcat:aswlfwrt5rgrrmgdvukmsehy5e

Stochastic Distance Transform [article]

Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje
2018 arXiv   pre-print
We, thus, define a stochastic distance transform (SDT), which has an adjustable robustness to noise.  ...  Both a stochastic Monte Carlo method and a deterministic method for computing the SDT are proposed and compared.  ...  It is important to note that the watershed segmentation approach used here utilizes stochasticity in a very different way than the stochastic watershed segmentation [1] method, which randomly places  ... 
arXiv:1810.08097v1 fatcat:b5osu552yjeklo7r5jdlci2vnm

Physically-based extreme flood frequency with stochastic storm transposition and paleoflood data on large watersheds

John F. England, Pierre Y. Julien, Mark L. Velleux
2014 Journal of Hydrology  
Key elements include: (1) a physically-based runoff model (TREX) coupled with a stochastic storm transposition technique; (2) hydrometeorological information from radar and an extreme storm catalog; and  ...  An integrated data-modeling hydrologic hazard framework for physically-based extreme flood hazard estimation is presented.  ...  The TREX model source code is freely available from the authors. Appendix A.  ... 
doi:10.1016/j.jhydrol.2013.12.021 fatcat:75ryjvjgjbfohp66iqb77kwnii

An Innovative Trading Approach for Mercury Waste Management

Yogendra Shastri, Urmila Diwekar, Sanjay Mehrotra
2011 International Journal of Innovation Science  
The application of the framework to the Savannah River watershed case study in US emphasizes the importance of health care cost while evaluating the benefits of trading.  ...  An optimization based decision-making framework has been developed to optimize the selection of mercury treatment technologies by industries in a watershed in the presence of nonlinearity and uncertainty  ...  The recourse function is exactly evaluated only as a sub-problem, referred to as the second stage problem.  ... 
doi:10.1260/1757-2223.3.1.9 fatcat:azbp347b4rggdnhs45jqa5lrmi

Risk-based decision making to evaluate pollutant reduction scenarios

Ebrahim Ahmadisharaf, Brian L. Benham
2019 Science of the Total Environment  
The risk-based framework presented here illustrates a method to propagate watershed model uncertainty and assess performance of alternative pollutant reduction scenarios using existing tools, thereby enabling  ...  Computational watershed models are often used to develop TMDL pollutant reduction scenarios. Uncertainty is inherent in the modeling process.  ...  Acknowledgements We thank Anurag Mishra and Karen Kline for the help with HSPEXP+ and HSPF development in the Woods Creek watershed.  ... 
doi:10.1016/j.scitotenv.2019.135022 pmid:31731127 fatcat:tzylzepimvdl5emw36tp6j3w3q

Stochastic spatial disaggregation of extreme precipitation to validate a regional climate model and to evaluate climate change impacts over a small watershed

P. Gagnon, A. N. Rousseau
2014 Hydrology and Earth System Sciences  
<br><br> The objective of this work is to evaluate whether a stochastic spatial disaggregation model applied on annual maximum daily precipitation (i) enables the validation of a RCM for a period of reference  ...  Thus, it is difficult to evaluate whether a RCM bias on localized extreme precipitation is caused by the spatial resolution or by a misrepresentation of the physical processes in the model.  ...  The authors also wish to thank Sébastien Tremblay and Stéphane Savary (INRS-ETE) for their technical support. Edited by: A. A. Carsteanu  ... 
doi:10.5194/hess-18-1695-2014 fatcat:yjurdtto2betbcrurlgxwpi6b4
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