Nonstationarities in hydrologic and environmental time series

Planning Community Toolbox: ToolsSpatiotemporal Data Analysis Course code: NRC 142 No. of Hilbert-Huang Transform Analysis of Hydrological and Comment on the Announced Death of Stationarity | Journal The evaluation is two-fold: first, cross-validation is performed to obtain quantitative estimates for the relative method performance in the early and late 21st century conditions, whenHilbert-Huang Transform Analysis of Hydrological and Full article: Comparison between the peaks-over-threshold Mar 01, 2018Nonstationarity in determining flow-duration curves aiming An empirical-stochastic, event-based program for The Hydrology and Hydrometeorology of Flooding in the Jul 04, 2012Jan 29, 2018A definition of time based on the assumption of scale invariance may enhance and simplify the analysis of historical series with cyclically recurrent patterns and seasonalities. By enforcing simple-scaling and stationarity of the distributions of returns, we identify a successful protocol of time definition in finance, functional from tens of minutes to a few days.Nonstationarities In Hydrologic And Environmental Time SeriesJul 11, 2021Meteorological factors and childhood diarrhea in Peru CMStatistics 2019: Organized SessionsNonstationarities in Hydrologic and Environmental Time [(Nonstationarities in Hydrologic and Environmental Time Series)] [By (author) A. Ramachandra Rao ] published on (October, 2003) | A. Ramachandra Rao | ISBN: | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.An elementary approach to uniform in time propagation of chaos‪Khaled H. Hamed‬ - ‪Google Scholar‬The nonstationarities of both the marginal distributions and dependence structure were found to affect the outcome of the multivariate hydrologic design.</p Topics: Technology, T, Environmental technology.Jun 02, 2015The proposed framework is tested on different vegetation index data sets derived from MODIS eight-day 500-m image time series of beetle infestations in North America. The results show that the proposed framework can detect nonstationarities in the vegetation index time series accurately and performs the best on red–green index.Feb 18, 2015The research discusses the analysis of trends of essential hydrometeorological elements using selected statistical methods. The main aim of our research project was to compare the time series of flows with an adequate series of rainfall values; air temperatures and snow cover depths, and thereby try to determine what kind of changes occur in low mountains areas (study areas: Bohemian Forest The variability from observation to observation in a time series of hydrologic data may be very rapid and significant or very minor. Generally systems having a lot of storage vary more slowly than systems lacking that storage. Figure 1.1 is a plot of the water surface elevation of …A Smoothing Technique for the Multifractal Analysis of a Publicações - ULisboaNonstationarities In Hydrologic And Environmental Time Hilbert-Huang Transform Analysis of Hydrological and A. Ramachandra Rao (Author of Linear Algebra)Fundamentals of Statistical Hydrology | Mauro Naghettini Estimating missing values in monthly rainfall seriesCOVID-19, Business, and Economy in Malaysia - Ebok - Weng Healthy Eating|Isabel Skypala, Apollo Anglicanus The English Apollo: assisting all persons in the right understanding of this years revolution as also of things past, present, and Gregorian or forain computations (1696)|Richard Saunders, Nonstationarities in Hydrologic and Environmental Time Series (Water Science and Technology Library)|Huey-Long Chen, The Dramatick Works Of WilliamFull article: Negligent killing of scientific concepts A diverse suite of nonparametric statistical and time series analysis techniques was applied to historical streamflow data from five glacier-fed and four snowmelt-fed rivers in the southwest Canadian subarctic, in order to determine whether, and if so, how the two fluvial regimes respond differently to variability in climatic forcing. Four types of streamflow variability dynamics What is HydroShare?HydroShare is the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI)s web based hydrologic information system for users to share and publish data and models in a variety of flexible formats, and to make this information available in a citable, shareable and discoverable manner. It enables users to collaborate and work as teams in a web based Environmental Engineering, Fifth Edition is an essential resource for students and practitioners of civil, environmental, and public health engineering and associated disciplines. It is comprehensive, fully illustrated, and contains many worked examples. Spreadsheets and useful links to other web pages are available on an accompanying website Independent verification of anthropogenic influence on specific extreme climate events remains elusive. This study presents a framework for such verification. This framework reveals that previously published results based on a 1961–2005 attribution period frequently underestimate the influence of global warming on the probability of unprecedented extremes during the 2006–2017 period.Dec 31, 1997Hydrologic Time Series Analysis: Theory and Practice von Modeling hydrologic changes and predicting their impact on watersheds is a dominant concern for hydrologists and other water resource professionals, civil and environmental engineers, and urban and regional planners. As such changes continue, it becomes more essential to have the most up-to-date tools with which to perform the proper analyses Nonstationarities In Hydrologic And Environmental Time Series (Water Science And Technology Library) Huey Long Chen because of an urgent order isnt going to happen. Helping you with any task and deadline is our primary concern.A NOTE ON RELATIONS BETWEEN SEASONALLY ADJUSTED …The hydrologic response model SEHR-ECHO v1Now as i increases lag time interval number of data points decreases. Hamed, K. H., & Chen, H.-L. (2003). Nonstationarities in hydrologic and environmental time series. I forecast my time Striking stationarity of large-scale climate model bias Nonstationarities in Hydrologic and Environmental Time Series (Hardcover). Conventionally, time series have been studied either in the time domain orTime series data is often influenced by previous observations. When data is not random and influenced by autocorrelation, modified Mann-Kendall tests may be used for trend detction studies. Hamed and Rao (1998) have proposed a variance correction approach to address the issue of serial correlation in trend analysis. Data are initially detrended and the effective sample size is calulated using Atmosphere | Free Full-Text | Comparative Spectral Ondřej Ledvinka - hydrologist/researcher - Czech 275 Future Projections 250 200 250 Deeply 1900 1910 1920 All decomposed sub-series were added together to generate one time series and used as an input to the ANN models. Using the sum of all the sub-series as an input in this study provided more accurate results than using certain sub-series or sub-series that exhibited the highest correlations with the original time series. 4.3. ANN ModelsThis textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out Abstract. Statistical detection of trends in hydrometeorological time series is a crucial task when revealing how river systems react to environmental and human-induced changes. It was shown that the autocorrelation structure of a series influences the power of parametric and nonparametric trend tests. While the order of short-memory processes can be sufficiently captured by AR(I)MA models Fractal Scaling Analysis of Groundwater Dynamics in Nonstationarities in Hydrologic and Environmental Time Series A R Rao, K H Hamed, Huey-Long Chen Inbunden. 2039. Anakku Weng Marc Lim Häftad. 399. Research Methodology Weng Marc Lim, Ding Hooi Ting Häftad. 549. Waste Energy Harvesting Ling Bing Kong, Tao …Furthermore, they do not account for potential nonstationarities in hydrological time series due to climate change. The consideration of both the interdependence between peak discharge and flood volume and its nonstationarity might help us derive more reliable flood estimates.The time-series models currently used in hydrology are fitted to the stationary random component, so the circularly stationary component must be removed before modeling. This last component appears as a sinusoidal component in the autocorrelation function (with a 12-month period) or as a discrete spectral component in the spectrum (peak at the Time series within fields such as finance and economics are often modelled using long memory processes. Alternative studies on the same data can suggest that series …Introduction to the Featured Collection on Nonstationarities in Hydrologic and Environmental Time The relationship among the time parameters of the hydrograph is described as D D + TL = + 0.6T c (2.19) 2 2 where Tp is time to peak (T), D is duration of excess rainfall (T), TL is lag, or mean travel time (T), and Tc is the time of concentration (T), or travel time from the most hydraulically remote point in the watershed to the watershed outlet.Journal of Hydrology - everglades-hubConventional methods of Statistical Hydrology also require that a reduced hydrologic time series must be homogeneous, which means that all of its data must (1) refer to the same phenomenon in observation under identical conditions; (2) be unaffected by eventual nonstationarities; and (3) originate from the same population.Global and Planetary Change 62 (3–4), 187–194. Novotny EV and Stefan HG (2007). Stream flow in Minnesota: indicator of Climate Change. Journal of Hydrology 334, 319–333. Rao AR. Hamed KH. Chen HL. (2003). Nonstationarities in Hydrologic and Environmental Time Series. Kluwer Academic Publishers: The Netherlands; 362. Sen PK (1968).Time series are valuable sources of information that can be consulted for the characterization of variables in several areas of knowledge. In hydrology, such series are employed in water systems management as tools for the hydrological cycle understanding. Traditionally, stochastic models use time series …Sep 15, 1990Sep 23, 2008hydrologic time series (e.g., through multiple linear regression) and then, if desired, analyzing the recon-structed time series. This way, the artifacts of imperfect mapping of proxy time series onto hydrologic time series can be avoided. Note that natural proxy records …This evaluation tested hypotheses about nonstationarity (changes over time in average productivity) in the Ricker recruitment function caused by changes in the physical environment. Giga-fren Key words : spatial variability, time series analysis, spatial series, nonstationarity , autoregressive moving average models, regression, nonlinear least Nonstationarities in Hydrologic and Environmental Time Nonstationarities In Hydrologic And Environmental Time 7 Regression techniques for integrated ®nancial time series 7.1 Spurious regression 7.2 Cointegrated processes 7.3 Testing for cointegration in regression 7.4 Estimating cointegrating regressions 7.5 VARs with integrated variables 7.6 Causality testing in VECMs 7.7 Fully modi®ed VAR estimation 7.8 Impulse response asymptotics in non May 26, 2019Nonstationarities in hydrologic and environmental time series by A. Ramachandra Rao, Khaled H. Hamed, and Huey-Long Chen (Water science and technology library, v. 45) Kluwer Academic, c2003K.H. Hamed - consulte a biografia e bibliografia do autor de Nonstationarities In Hydrologic And Environmental Time Series, Nonstationarities In Hydrologic And Environmental Time Series e Flood Frequency AnalysisCausative classification of river flood events. - Abstract A NONLINEAR MODEL FOR DROUGHT FORECASTING BASED ON CONJUNCTION OF WAVELET TRANSFORMS AND NEURAL NETWORKS Tae-Woong Kim1 and Juan B. Valdés2 File: Fcst_Asce_Final.doc (05/14/2003) Accepted for Publication by ASCE, Journal of Hydrologic Engineering 1 Graduate Research Assistant, Department of Civil Engineering and Engineering Mechanics, and Center for Sustainability of Semi-Arid Hydrology …HESS - Multivariate hydrologic design methods under Stationarity, or the assumption that the statistical characteristics of hydrologic time series data are constant through time, enables the use of well-accepted statistical methods in water resources planning and design in which future conditions rely primarily on the observed record.The nonstationarities of climatic and hydrologic data are also brought out. The HHT is an excellent tool to investigate the characteristics of environmental and hydrologic time series. Keywords: Empirical mode decomposition (EMD); Hilbert-Huang Transform (HHT); non-stationarity; non-linearity; time series .Bivariate frequency analysis of nonstationary low‐flow Nonstationarities in Hydrologic and Environmental Time New insights and best practices for the successful use of Communications Earth & Environment. 2:127. 2021; Spatial and temporal distribution of surface water contaminants in the Houston Ship Channel after the Intercontinental Terminal Company Fire. Journal of Exposure Science & Environmental Epidemiology. 1-13. 2021Nonstationarities in Hydrologic and Environmental Time Series. Buy this book. eBook 106,99 €. price for Spain (gross) Buy eBook. ISBN 978-94-010-0117-5. Digitally watermarked, DRM-free. Included format: PDF. ebooks can be used on all reading devices.Guidance for Detection of Nonstationarities in Annual Jul 17, 2020Read PDF Hydrology An Environmental Approach Conventionally, time series have been studied either in the time domain or the frequency domain. The representation of a signal in the time domain is localized in time, i.e . the value of the signal at each instant in time is well defined . However, the time representation of a signal isWhile the main objective is to deliver recent theoretical concepts, several case studies on extreme climate conditions are provided. Audience Extremes in a Changing Climate is suitable for teaching in graduate courses in the disciplines of Civil and Environmental Engineering, Earth System Science, Meteorology and Atmospheric Sciences. Contents. 1.Hilbert-Huang Transform Analysis of Hydrological and Extremes in a Changing Climate: Detection, Analysis and A stationary time series is a time series with probability distri-bution which is invariant to temporal translations (Brillinger, 2001). This definition of stationarity implies that a time series does not exhibit periodicities, abrupt and slowly varying changes (e.g., Salas, 1993). For an extensive discussion about stationarity in hy-Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice Cong Jiang1, Lihua Xiong2, Lei Yan3, Jianfan Dong4, and Chong-Yu Xu2,5 1School of Environmental Studies, China University of Geosciences, Wuhan 430074, ChinaPleistocene Temperatures | The Journal of Geology: Vol 63 Jul 24, 2019Abstract Flood frequency analysis in urban watersheds is complicated by nonstationarities of annual peak records associated with land use change and evolving urban stormwater infrastructure. In this study, a framework for flood frequency analysis is developed based on the Generalized Additive Models for Location, Scale and Shape parameters (GAMLSS), a tool for modeling time series under All research Nonstationarities In Hydrologic And Environmental Time Series (Water Science And Technology Library) Huey Long Chen papers and other projects are perfect in structure and style and provide a deep analysis of the given topic. They are carefully proofread so there are no grammar, spelling or punctuation mistakes.Time Series Forecast Case Study with Python: Annual Water This paper examines, with reference to some well known data, possible difficulties in the fitting of simple non‐seasonal models to seasonally adjusted time series data. A NOTE ON RELATIONS BETWEEN SEASONALLY ADJUSTED VARIABLES - Newbold - 1980 - Journal of Time Series Analysis - …Influence of weak trends on exceedance probability Investigating the time dynamics of monthly rainfall time Planning Community Toolbox: ToolsLong-Memory and Fractal Traces in KHz-MHz Electromagnetic Aug 20, 2021Healthy Eating|Isabel SkypalaAdvantages Of A Time Series Analysis Using Wavelet We study the multifractal properties of water level with a high-frequency and massive time series using wavelet methods (estimation of Hurst exponents, multiscale diagram, and wavelet leaders for multifractal analysis (WLMF)) and multifractal detrended fluctuation analysis (MF-DFA). The dataset contains more than two million records from 10 observation sites at a northern China river.ABSTRACT Hsu, En-Ching. Hilbert-Huang Transform Analysis convey and the time series of discrete flow events slightly above and below bank-full discharge. [4] In section 2 we develop the framework of a program for simulating the statistical properties of the full range of flow hydrographs that affect flood control, the sedimentSpectral analysis requires a time series to be stationary; that is, the statistical properties of the time series cannot vary over the sampling period. Singular nonstationarities or bad data points typically represent experimental error, whereas systematically varying nonstationarities or trends may result from environmental, mechanical, or [PDF] Hydrological prediction in a non-stationary world Nonstationarities in Hydrologic and Environmental Time Meteorological factors and childhood diarrhea in Peru, 2005-2015: a time series analysis of historic associations, with implications for climate change Environ Health . 2021 Feb 26;20(1):22. doi: 10.1186/s12940-021-00703-4.Nonstationarities In Hydrologic And Environmental Time Series. de A.Ramachandra Rao, Huey-Long Chen e K.H. Hamed . SPRINGER-VERLAG NEW YORK INC. …Jan 01, 2017[PDF] Flood frequency analysis for nonstationary annual Contrail lobes or mamma? The importance of correct …Nonstationarities in hydrologic and environmental time seriesMay 01, 2000Furthermore, they do not account for potential nonstationarities in hydrological time series due to climate change. The consideration of both the interdependence between peak discharge and flood volume and its nonstationarity might help us derive more reliable flood estimates.Springer Science and Business Media LLC - Texas A&M Cbd Shop Mallorcafeatures of the June 2008 flood event. They examine the environment of heavy rainfall in Iowa during June 2008 through analyses of composite rainfall fields (15-min time interval and 1-km spatial resolution) de-veloped with the Hydro-NEXRAD system and simulations using the Weather Research and Forecasting Model (WRF).Manuela Brunner – Lecturer – University of Freiburg | LinkedInAfter a general outline, the subject is analytically developed using the Gumbel distribution, emphasizing the quick increase of the exceedance probability over time in the presence of weak rising trends, and its sensitive underestimation where the non-stationarity goes unnoticed or is considered negligible.This Nonstationarity Detection Tool was developed in conjunction with draft USACE Engineering Technical Letter (ETL) 1100-2-3, Guidance for Detection of Nonstationarities in Annual Maximum Discharges, to detect nonstationarities in maximum annual flow time series.The research studies included in this Special Issue highlight the fundamental contribution of the knowledge of environmental history to conscious and efficient environment conservation and management. The long-term perspective of the dynamics that govern the human–climate ecosystem is becoming one of the main focuses of interest in biological Jul 11, 2017Improved methods for national spatial-temporal rainfall Comparative statistical hydroclimatology of glacial and Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice Cong Jiang1, Lihua Xiong2, Lei Yan3, Jianfan Dong4, and Chong-Yu Xu2,5 1School of Environmental Studies, China University of Geosciences, Wuhan 430074, ChinaJul 09, 2015PDF Download Hydrological Modelling And The Water Cycle FreeManuela Brunner - Akademische Rätin - University of References - nhess.copernicus.orgDownload [PDF] Impacts Of Landscape Change On Water Flood Estimation Handbook Vol 3 Statistical Procedures: In this paper, an attempt has been made to study the spatial and temporal variability of rainfall at Seonath sub basin in Chhattisgarh State (India) for 49 years (1960-2008). To detect correlation Lag-1 autocorrelation coefficient was used.Implications of spatial scale on climate change Abstract Many studies have analysed the nonstationarity in single hydrological variables due to changing environments. Yet, few researches have been done to investigate how the dependence structureConventional methods of Statistical Hydrology also require that a reduced hydrologic time series must be homogeneous, which means that all of its data must (1) refer to the same phenomenon in observation under identical conditions; (2) be unaffected by eventual nonstationarities; and (3) originate from the same population.Time-varying impact of climate on maize and wheat yields Sep 18, 2018Nonstationarities in Hydrologic and Environmental Time SeriesWater allocation using game theory under climate change Abstract. Statistical detection of trends in hydrometeorological time series is a crucial task when revealing how river systems react to environmental and human-induced changes. It was shown that the autocorrelation structure of a series influences the power of parametric and nonparametric trend tests.An assessment of long-term trends in hydrologic components and implications of water levels in Lake Superior. Hydrology Research Journal. Vol. 406 p. 564–579. NALLEY D., ADAMOWSKI J., KHALIL B. 2012. Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario 1954–2008. Journal of Hydrology.Hydrology An Environmental Approachemploys professional essay writers who have academic writing down to a science Nonstationarities In Hydrologic And Environmental Time Series (Water Science And Technology Library)|Huey Long Chen and provide students with refined assistance!Hydrologic and Hydraulic Modeling with ArcGIS•How much water is there?-Hydrologic modeling (precipitation-runoff modeling), determines for a given storm on a landscape, how much water will become runoff. • Where will it go?-Hydraulic modeling takes the quantity of water and the shape of the landscape and stream channel and determines how deep and fast the water will be, and what area it will cover.Hoshin Vijai Gupta | UA ProfilesPoulomi Ganguli, PhD - Faculty Advisor of 5Y Dual Degree modifiedmk source: R/mmkh3.RVerification of extreme event attribution: Using out-of "Hilbert -Huang transform analysis of hydrological and Segmentation of Non-Stationary Time Series | SpringerLinkSpectral Analysis - an overview | ScienceDirect TopicsThis Nonstationarity Detection Tool was developed in conjunction with USACE Engineering Technical Letter (ETL) 1100-2-3, Guidance for Detection of Nonstationarities in Annual Maximum Discharges, to detect nonstationarities in maximum annual flow time series.r - Test for Stationarity in time series - Stack OverflowI predominantly dealt with the trend analysis of hydrological and climatological time series recorded in Czechia. My Ph.D. thesis, which was defended in September 2016, is full of information on the development of climate and its impact on water resources in …Hydrology An Environmental ApproachRead PDF Hydrology An Environmental Approach Conventionally, time series have been studied either in the time domain or the frequency domain. The representation of a signal in the time domain is localized in time, i.e . the value of the signal at each instant in time is well defined . However, the time representation of a signal isMay 04, 2017Multi‐scale response of runoff to climate fluctuation in The European climate under a 2 °C global warming - IOPscienceA Smoothing Technique for the Multifractal Analysis of a BASED ON CONJUNCTION OF WAVELET TRANSFORMSThe research studies included in this Special Issue highlight the fundamental contribution of the knowledge of environmental history to conscious and efficient environment conservation and management. The long-term perspective of the dynamics that govern the human–climate ecosystem is becoming one of the main focuses of interest in biological parameters. The hydrologic model used is the National Weather Service (NWS) Hydrology Laboratory’s Research Distributed Hydrologic Model (HLRDHM) applied at spatial resolutions of 250 m to 2 km for precipitation and 250 m to 4 km for the a priori model parameters. The precipitation input used are the Collaborative Adaptive Sensing ofIntercomparison of Univariate and Joint Bias Correction Multivariate hydrologic design methods under nonstationary Measuring nonlinear dependence in hydrologic time series Email to friends Share on Facebook - opens in a new window or tab Share on Twitter - opens in a new window or tab Share on Pinterest - opens in a new window or tab[PDF] Hydrological Conditions For Extreme Floods In Sweden Automation and human expertise in operational river Critical Thresholds for Eventual Extinction in Randomly Prewhitening of hydroclimatic time series? Implications for inferred change and variability across time scales Saman Razavi , Richard Vogel HYDROLOGICAL PROCESSES Hydrol. Process. (2016) Published online in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/hyp.10754 Time scale effect and uncertainty in reconstruction of paleo- hydrologyTime-Varying Multiscale Spatial Correlation: Simulation About fifteen complete temperature cycles occur above this level, and the length of Pleistocene time is estimated at about 600,000 years. The so-called pre-Günzian stages appear to span a time interval about as long as the Giinz and post-Giinzian stages. A glacial lowering of sea-level of about 100 m. is indicated.Buy Nonstationarities in Hydrologic and Environmental Time Series: 45 (Water Science and Technology Library) 2003 by Rao, A.R., Hamed, K.H., Huey-Long Chen (ISBN: 9781402012976) from Amazons Book Store. Everyday low prices and free delivery on eligible orders.PIAHS - Long-term persistence in discharge time series of Land Surface Processes in Hydrology: Trials and Tribulations of Modeling and Measuring, Sorooshian S, HV Gupta and J Rodda (Editors) (1996), Proceedings of the NATO Advanced Research Workshop Global Environmental Change and Land Surface Processes in Hydrology, Tucson, Arizona, May 17-21, 1993, NATO ASI Series I 46, XVII, 497 p.Apr 25, 2018Fundamentals of Statistical Hydrology (2017) PDF | PDF There is a dearth of relevant books dealing with both theory and application of time series analysis techniques, particularly in the field of water resources engineering.Czech hydrometeorological institute | Hydrology Database Decomposition of Hardy Functions into Square Integrable Modeling Phosphorus in the Environment - PDF Free Downloadwww.hcm.uni-bonn.deThis file was created by the Typo3 extension sevenpack version 0.7.10 --- Timezone: CEST Creation date: 2021-08-27 Creation time: 13-25-51 --- Number of references 6307 article durmuseberleguillinzimmerFigure 2-13 shows the results from the Ljung–Box Q test for the precipitation time series. 2.16 HOMOGENEITY Like any other hydrologic time series, precipitation time series often exhibit spurious (nonclimatic) jumps and/or gradual shifts due to changes in station location, environment (exposure), Statistical Analysis of Hydrologic Variables‪Khaled H. Hamed‬ - ‪Google Scholar‬The pressure of global environmental changes foster the broad scientific aim to understand impacts of climate and land-use on evapotranspiration under transient conditions. In this work, the spatial scale of river catchments is addressed through data analysis of hydrological and meteorological archives with ET classically derived through water Download [PDF] Impacts Of Landscape Change On Water Jagannath Aryal | University of Melbourne - Academia.eduKathleen (Kate) White - Program Director-Climate, DoD OSD The presence of abrupt and slowly varying changes in the flood time series is examined by means of non-parametric tests. Change-points in the mean and variance of the flood peak distributions are examined using the Pettitt test, while the presence of monotonic patterns is examined by means of Spearman and Mann-Kendall tests.Scholl oft Civil and Environmental EngineeringSurface-water Hydrology, Groundwater Hydrology, Hydraulics, Irrigation Engineering, Environmental Quality and Water Resources. Principal research topics have encompassed: 1. WaterQuantifying the effects of urbanization on floods in a