search for: groundwater

Dear R users, It is a pleasure for me to announce the availability of the new package kwb.hantush (0.2.1)? on CRAN. Its objective is the calculation of groundwater mounding beneath an (stormwater) infiltration basin by solving the Hantush (1967) equation. For checking the correct implementation of the algorithm the R modelling results were cross-checked against alternative models assessed in Carleton (2010) by using the same model parameterisation. Referenc...

Dear R users, It is a pleasure for me to announce the availability of the new package kwb.hantush (0.2.1)? on CRAN. Its objective is the calculation of groundwater mounding beneath an (stormwater) infiltration basin by solving the Hantush (1967) equation. For checking the correct implementation of the algorithm the R modelling results were cross-checked against alternative models assessed in Carleton (2010) by using the same model parameterisation. Referenc...

...ounded by two deserts, Badain Jaran Desert and Tengger Desert. * *2. **Water is the root of ecological deterioration of Minqin. On the hand, severe water scarcity (a, water supply from Hongyashan Reservoir reduced from 460M tons at 1950s to less than 100M tons now; b, more than 5 billion tons groundwater over extracted totally, the groundwater level dropped by an average of 10 ~ 12m; c. average annual precipitation for the past five years is 127.7mm, and the average annual evaporation is 2623mm); on the other hand, serious deteriorated water quality (about 190,000 tons salinity carried by irrigated...

...or one plot but gives problems for an other. The code is shown below. Any ideas of how to solve this would be very welcome! Thanks in advance, Joep van der Zanden MSc student Hydrology and Water Quality Wageningen University, The Netherlands / University of Sydney, Australia # variable to plot: groundwater heads for 2 situations (L Med Clay Grass; S Clay Loam Trees): z2 and z1 # x: range of distances to river # y: range of lambda values ## define input data x <- vector(mode="numeric", length=64) for(i in 1:8){x[((i-1)*8+1):(i*8)]<- c(0,25,65,140,240,390,590,840)} y <- vector(mode=...

Dear R family, I am a relative newbie and have been dabbling with R for a little while. Simple things really, but my employers are beginning to see the benefits of using R instead of excel. We have a remote monitoring station measuring groundwater levels. We download the date as a .csv file and up until now, we have been using excel to analyse the data. It?s been a hassle trying to wrestle with that damn program as my boss wants to do things that excel was never meant to do, so I?ve convinced my boss to give R a chance. It?s been a stee...

R Users: My question is probably more about elementary statistics than the mechanics of using R, but I've been dabbling in R (version 2.2.0) and used it recently to test some data . I have a relatively small set of observations (n = 12) of arsenic concentrations in background groundwater and wanted to test my assumption of normality. I used the Shapiro-Wilk test (by calling shapiro.test() in R) and I'm not sure how to interpret the output. Here's the input/output from the R console: >As = c(13, 17, 23, 9.5, 20, 15, 11, 17, 21, 14, 22, 13) >shapiro.test(As)...

Dear R-help list, I am trying to construct a lattice histogram using 3 factors. My dataframe looks like this: (simulating a waterbalance over groundwater with different salinities) s days model EC EC_max 0.4 1 "A" 10 9 0.42 2 "A" 10 9 0.44 3 "A" 10 9 : : : : : 0.4 1 "B" 10 9...

Announcing the release of a new R package ResistorArray. This package solves the (nontrivial) general problem of resistance on arbitrary (finite) resistor arrays. Outside electrical engineering, the problem has a wide range of applications to situations such as groundwater modelling; there is a direct correspondence between electrical networks and random walks. The package has a reasonably complete set of literature references, and solves a number of classical problems such as the resistance between opposite points of a skeleton resistor cube, and the Wheatstone...

Announcing the release of a new R package ResistorArray. This package solves the (nontrivial) general problem of resistance on arbitrary (finite) resistor arrays. Outside electrical engineering, the problem has a wide range of applications to situations such as groundwater modelling; there is a direct correspondence between electrical networks and random walks. The package has a reasonably complete set of literature references, and solves a number of classical problems such as the resistance between opposite points of a skeleton resistor cube, and the Wheatstone...

...impermeable geologic layer. I would like to represent the degree to which a fluid could flow from one end of my grid to another, above the surface and below the fixed level. I don't need to derive information about path lengths and hydraulic gradient, but if I could, that would be a plus. A groundwater flow model would provide the exact answer, but I'm looking for something more approximate and faster. My grids are such that there are many "dead-end" flow paths, where the bottom boundary rises to meet the top boundary and the cross-sectional area available for flow pinches out....

Hello, I'm attempting to create a smooth, 3D plot of a trajectory (rather than the cloud or wireframe functions). I would rather the individual data points not be visible. I've had no luck finding this on the graphics or help pages. Thank you in advance. Chris Some example data, just in case: 25 32 40 12 25 32 2 12 25 2 2 12 20 2 2 1 20 2 6 1 20 5 6 1 5 5 6

...n in toxicity data (e.g. according to Hamilton 1977) has been implemented in R. Or does this method feature under a different name? Of course logit and probit are doable, but Spearman-Karber seems to me to be the way I should go with our data. Thanks for all your help, Susanne Institute of Groundwater Ecology ph +49 89 3187-2567 fax +49 89 3187-3361 susanne.schmidt@helmholtz-muenchen.de <mailto:susanne.schmidt@helmholtz-muenchen.de> www.helmholtz-muenchen.de/igoe/ <http://www.helmholtz-muenchen.de/igoe/> Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundhe...

Hi, I try to boxplot following data on the subset of (V1,V3,V5,V7) and (V2,V4,V6,V8) V1 V2 V3 V4 V5 V6 V7 V8 2 4 6 7 12 33 43 53 how can I use boxplot function to plot it? thanks, William

Hello veryone, I am interested in the diffusion of particles inside a sphere, and its release through a small pore on the sphere surface. Unfortunately, I have not found the way to do this in R. Could you help me? Thank very much in advance for your help

...uot;month"), labels=seq(as.Date("2004-01-01"), as.Date("2008-06-01"), > > by="month"), tck=1, col="gray60") > > > > I presume, that your x is from different interval of dates or it is > > not a date. > > My data comes from a groundwater monitoring program. Once a month the water surface is > measured in some 170 stations, and I've been using R to visualize these > measurements. In this > particular case, the water table ranges between approximately 406 and 408 > metres above sea level, > hence the y axis interva...

Hello... Curious to know whether the TK extensions “Tktable” and “Iwidgets” will be included in future versions of R (full installation). These are key components of GUI construction and would be very useful in my current R-tcltk endeavors. I realize that I could just install a version of ActiveTcl, which includes the extensions; however, my goal is to eventually distribute my work keeping

Hello R users, I have a basic "computer programing" question. I am a student currently taking a course that uses Fortran as the main programming language, but the instructors are open to students using any language they are familiar with. I have used R previously, and am wondering if there is any benefit to my learning Fortran, or whether I should stick with R for this class. Any

Dear R help list I have recently started using R to visualize time series of water level measurements. The code I wrote does exactly what I want: plot(x, a$B112, axes=FALSE, ylim=c(405,410), col="red", pch=15, type="o", ylab="metres above sea level", main="Main Plot Title") axis(2, at=405:410, tck=1, col="gray60") axis.Date(1,