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fix: update grid dimensions and refine species definitions in barite_fgcs_2.R
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@ -1,28 +1,28 @@
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## Time-stamp: "Last modified 2024-12-11 16:08:11 delucia"
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## Time-stamp: "Last modified 2024-12-11 16:08:11 delucia"
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cols <- 200
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cols <- 1000
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rows <- 200
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rows <- 1000
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dim_cols <- 10
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dim_cols <- 50
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dim_rows <- 10
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dim_rows <- 50
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ncirc <- 20 ## number of crystals
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ncirc <- 20 ## number of crystals
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rmax <- cols/10 ## max radius (in nodes)
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rmax <- cols / 10 ## max radius (in nodes)
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set.seed(22933)
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set.seed(22933)
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centers <- cbind(sample(seq_len(cols), ncirc), sample(seq_len(rows), ncirc))
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centers <- cbind(sample(seq_len(cols), ncirc), sample(seq_len(rows), ncirc))
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radii <- sample(seq_len(rmax), ncirc, replace=TRUE)
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radii <- sample(seq_len(rmax), ncirc, replace = TRUE)
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mi <- matrix(rep(seq_len(cols), rows), byrow = TRUE, nrow = rows)
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mi <- matrix(rep(seq_len(cols), rows), byrow = TRUE, nrow = rows)
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mj <- matrix(rep(seq_len(cols), each = rows), byrow = TRUE, nrow = rows)
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mj <- matrix(rep(seq_len(cols), each = rows), byrow = TRUE, nrow = rows)
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tmpl <- lapply(seq_len(ncirc), function(x) which((mi-centers[x, 1])^2 + (mj-centers[x, 2])^2 < radii[x]^2, arr.ind = TRUE))
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tmpl <- lapply(seq_len(ncirc), function(x) which((mi - centers[x, 1])^2 + (mj - centers[x, 2])^2 < radii[x]^2, arr.ind = TRUE))
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inds <- do.call(rbind, tmpl)
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inds <- do.call(rbind, tmpl)
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grid <- matrix(1, nrow = rows, ncol = cols)
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grid <- matrix(1, nrow = rows, ncol = cols)
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grid[inds] <- 2
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grid[inds] <- 2
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alpha <- matrix( 1e-5, ncol = cols, nrow = rows)
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alpha <- matrix(1e-5, ncol = cols, nrow = rows)
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alpha[inds] <- 1e-7
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alpha[inds] <- 1e-7
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## image(grid, asp=1)
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## image(grid, asp=1)
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@ -30,13 +30,13 @@ alpha[inds] <- 1e-7
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## Define grid configuration for POET model
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## Define grid configuration for POET model
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grid_setup <- list(
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grid_setup <- list(
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pqc_in_file = "./barite_fgcs_2.pqi",
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pqc_in_file = "./barite_fgcs_2.pqi",
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pqc_db_file = "./db_barite.dat", ## database file
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pqc_db_file = "../barite/db_barite.dat", ## database file
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grid_def = grid, ## grid definition, IDs according to the Phreeqc input
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grid_def = grid, ## grid definition, IDs according to the Phreeqc input
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grid_size = c(dim_cols, dim_rows), ## grid size in meters
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grid_size = c(dim_cols, dim_rows), ## grid size in meters
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constant_cells = c() ## IDs of cells with constant concentration
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constant_cells = c() ## IDs of cells with constant concentration
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)
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)
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bound_length <- cols/10
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bound_length <- cols / 10
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bound_N <- list(
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bound_N <- list(
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"type" = rep("constant", bound_length),
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"type" = rep("constant", bound_length),
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@ -52,13 +52,13 @@ bound_W <- list(
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bound_E <- list(
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bound_E <- list(
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"type" = rep("constant", bound_length),
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"type" = rep("constant", bound_length),
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"sol_id" = rep(4, bound_length),
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"sol_id" = rep(4, bound_length),
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"cell" = seq(rows-bound_length+1, rows)
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"cell" = seq(rows - bound_length + 1, rows)
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)
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)
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bound_S <- list(
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bound_S <- list(
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"type" = rep("constant", bound_length),
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"type" = rep("constant", bound_length),
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"sol_id" = rep(4, bound_length),
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"sol_id" = rep(4, bound_length),
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"cell" = seq(cols-bound_length+1, cols)
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"cell" = seq(cols - bound_length + 1, cols)
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)
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)
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diffusion_setup <- list(
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diffusion_setup <- list(
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@ -77,7 +77,7 @@ dht_species <- c(
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"O" = 7,
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"O" = 7,
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"Ba" = 7,
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"Ba" = 7,
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"Cl" = 7,
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"Cl" = 7,
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"S(6)" = 7,
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"S" = 7,
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"Sr" = 7,
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"Sr" = 7,
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"Barite" = 4,
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"Barite" = 4,
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"Celestite" = 4
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"Celestite" = 4
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@ -86,10 +86,10 @@ dht_species <- c(
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pht_species <- c(
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pht_species <- c(
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"Ba" = 4,
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"Ba" = 4,
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"Cl" = 3,
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"Cl" = 3,
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"S(6)" = 3,
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"S" = 3,
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"Sr" = 3,
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"Sr" = 3,
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"Barite" = 2,
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"Barite" = 0,
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"Celestite" = 2
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"Celestite" = 0
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)
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)
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chemistry_setup <- list(
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chemistry_setup <- list(
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