diff options
Diffstat (limited to 'python')
| -rwxr-xr-x | python/makeBoundary | 364 | 
1 files changed, 364 insertions, 0 deletions
| diff --git a/python/makeBoundary b/python/makeBoundary new file mode 100755 index 0000000..a0d3773 --- /dev/null +++ b/python/makeBoundary @@ -0,0 +1,364 @@ +#!/usr/bin/env python3 + +import matplotlib.pyplot as plt +import numpy as np +import bisect +import ast +import math +import argparse +import sys + +#TODO: use YAML/ruamel.yaml for configuration file. +def read_definition(filename): +    ddict = {} +    with open(filename, "r") as f: +        for line in f: +            items = line.split(': ', 1) +            if len(items) == 2: +                ddict[items[0]] = ast.literal_eval(items[1]) +    return ddict + +def conveyance(numH, n_co, xregion, zregion, zmin, zmax): +    p_i = [] # wetted perimeter +    A_i = [] # area +    r_h = [] # hydraulic radius +    h_i = [] # list of heights +    K_i = [] # conveyance +    Q_i = [] # discharge +    x_sub = [[] for i in range(numH)] # list of x values in subregion +    z_sub = [[] for i in range(numH)] # list of z values in subregion +    for i in range(numH): +        h_i.append(zmin + (i+1)*(zmax-zmin)/numH) +        #print(zregion[zregion < h_i[i]]) +        booleanArray = zregion < h_i[i] +        #print(booleanArray[i]) +        x_sub[i] += list(xregion[booleanArray]) +        z_sub[i] += list(zregion[booleanArray]) +        for interval in range(len(xregion)-1): +            if booleanArray[interval+1] != booleanArray[interval]: +                x_extra = xregion[interval] \ +                    + (h_i[i] - zregion[interval])\ +                    *(xregion[interval+1] - xregion[interval])\ +                    /(zregion[interval+1] - zregion[interval]) +                bisect.insort(x_sub[i], x_extra) # add intercept value +                ind_x = x_sub[i].index(x_extra) +                z_sub[i].insert(ind_x, h_i[i])   # add height value +        #print(z_sub[i]) + +        dp = 0 +        dA = 0 +        eps = 1e-06 +        for j in range(len(x_sub[i])-1): +            if (abs(z_sub[i][j+1] - h_i[i]) > eps +                or abs(z_sub[i][j] - h_i[i]) > eps): +                dp += np.hypot(x_sub[i][j+1] - x_sub[i][j], +                               abs(z_sub[i][j+1] - z_sub[i][j])) +            #print(dp) +            # calculate area using trapezium rule +            dA += (h_i[i] +                   - (z_sub[i][j+1] + z_sub[i][j])/2)\ +                   *(x_sub[i][j+1] - x_sub[i][j]) +            #print('Area =', dA) + +        p_i.append(dp) +        A_i.append(dA) + +        r_h.append(A_i[i]/p_i[i])  # ratio of area and wetted perimeter +        #print('hydraulic radius =', r_h[i]) +        K_i.append(A_i[i]*(1/n_co)*r_h[i]**(2/3)) # conveyance +        Q_i.append(K_i[i]*slope**0.5)             # discharge + +    return p_i, A_i, r_h, h_i, K_i, Q_i + +def plot_region(xdata, labelx, +                ydata1, labely1, +                ydata2, labely2, +                ydata3, labely3, titlep): +    plt.xlabel(labelx) +    plt.ylabel(labely1) +    plt.title(titlep) +    plt.plot(xdata, ydata1) +    plt.show() + +    plt.xlabel(labelx) +    plt.ylabel(labely2) +    plt.title(titlep) +    plt.plot(xdata, ydata2) +    plt.show() + +    plt.xlabel(labelx) +    plt.ylabel(labely3) +    plt.title(titlep) +    plt.plot(xdata, ydata3) +    plt.show() + +def save_bc(outputfile): +    with open(outputfile, 'w') as f: +        f.write('{:6} {:>2} {:>2} {:>10}\n'.format('#x', 'c', 'q', 'h')) +        for ind_z, (xitem, zitem) in enumerate(zip(xin, zin)): +            panel_x = bisect.bisect(markers, xitem) +            if csa[ind_z] == 0: +                # wall boundary condition +                f.write('{:6.2f} {:>2}\n'.format(xitem, 2)) +            elif panel_x == panel[ind_p]: +                # imposed discharge within part-filled panel +                f.write('{:6.2f} {:>2} {:10.6f} {:9.6f}\n'.format( +                    xitem, btype, +                    -csa[ind_z]*panel_target_flow/csa_p[panel_x], +                    h_extra-zitem)) +            else: +                # imposed discharge within filled panels +                f.write('{:6.2f} {:>2} {:10.6f} {:9.6f}\n'.format( +                    xitem, btype, +                    -csa[ind_z]*Q_i[panel_x][-1]/csa_p[panel_x], +                    zmax-zitem)) + +def interp(extra2, max1, min1, max2, min2): +    # use similar triangles to perform linear interpolation +    extra1 = min1 + (max1 - min1)*(extra2 - min2)/(max2 - min2) +     +    return extra1 + +# read command line argument: +parser = argparse.ArgumentParser( +    description="generate FullSWOF boundary files") +parser.add_argument("location", help="boundary location") +args = parser.parse_args() + +if args.location == 'top': +    inputFilename = "boundaryTop.txt" +    outputFilename = "BCTop.txt" +elif args.location == 'bottom': +    inputFilename = "boundaryBottom.txt" +    outputFilename = "BCBottom.txt" +elif args.location == 'left': +    inputFilename = "boundaryLeft.txt" +    outputFilename = "BCLeft.txt" +elif args.location == 'right': +    inputFilename = "boundaryRight.txt" +    outputFilename = "BCRight.txt" + +# read boundary definition file: +definition_dict = read_definition(inputFilename) +#for dd in definition_dict: +#    print(definition_dict[dd]) +btype       = definition_dict["type"]        # boundary type (1--5) +slope       = abs(definition_dict["slope"])  # slope at top boundary +target_flow = definition_dict["target_flow"] # imposed discharge +plotting    = definition_dict["plotting"]    # enable or disable plotting +n_co        = definition_dict["n_co"]        # Manning's 'n' coefficients +# TODO: use weighted mean 'n' values.  See +# http://help.floodmodeller.com/isis/ISIS/River_Section.htm (Eq. 4) +# Note: weighted mean calculation requires roughness map. +markers     = definition_dict["markers"]     # distances from corner point +panel       = definition_dict["panel"]       # panel fill order +ztol        = definition_dict["ztol"]        # tolerance in overtopping height +numH        = definition_dict["numH"]        # number of height intervals + + +# print(len(markers)) + +# with open('./1D_top.txt', "r") as data: +#     xch, ych, zch = np.loadtxt(data, delimiter=' ', unpack=True) + +# Fit with polyfit +# m, c = np.polyfit(ych, zch, 1) +# print('gradient =', m, 'intercept =', c) + +# read topography: +with open("./topography.txt", "r") as topo: +    xtp, ytp, ztp = np.loadtxt(topo, delimiter=' ', unpack=True) + + +xmax  = (xtp[0]+xtp[-1])                   # domain extent in x-direction +ymax  = (ytp[0]+ytp[-1])                   # domain extent in y-direction +ncols = int(math.sqrt(len(xtp)*xmax/ymax)) # number of cells in x-direction +nrows = int(len(xtp)/ncols)                # number of cells in y-direction +dX    = xmax/ncols                         # cell size +print('dX =', dX) + +#print(ncols, nrows) + +# extract slices from height data array.  Note: xyz format uses ncols +# blocks, with nrows lines per block. +if args.location == 'top': +    xin = xtp[nrows-1:len(xtp):nrows] +    yin = ytp[nrows-1:len(xtp):nrows] +    zin = ztp[nrows-1:len(xtp):nrows] +elif args.location == 'bottom': +    xin = xtp[0:len(xtp):nrows] +    yin = ytp[0:len(xtp):nrows] +    zin = ztp[0:len(xtp):nrows] +elif args.location == 'left': +    xin = xtp[:nrows] +    yin = ytp[:nrows] +    zin = ztp[:nrows] +elif args.location == 'right': +    xin = xtp[nrows*(ncols-1):] +    yin = ytp[nrows*(ncols-1):] +    zin = ztp[nrows*(ncols-1):] +     + +# print(xin) + +num_panels = len(panel) # number of panels across boundary + +# convert marker co-ordinates to array indices: +marker_ind = [0] +for i in range(len(markers)): +    marker_ind.append(int(markers[i]/dX)) +if args.location == 'left' or args.location == 'right': +    marker_ind.append(nrows) +elif args.location == 'top' or args.location == 'bottom': +    marker_ind.append(ncols) + + +# print(marker_ind) + +xregion = [] +zregion = [] +zmin = [] +for p in range(num_panels): +    # identify regions: +    xregion.append(xin[marker_ind[p]:marker_ind[p+1]]) +    zregion.append(zin[marker_ind[p]:marker_ind[p+1]]) +    # identify minimum heights within each panel: +    zmin.append(zregion[p].min()) + +# xregion_west = xin[100:281] +# zregion_west = zin[100:281] + +# xregion_east = xin[300:408] +# zregion_east = zin[300:408] + +# print(zregion) +# print(xin[12:20]) + +print('zmin =', zmin) + +# channel overtopping height (minimum of left bank and right bank heights): +zmax = min(zregion[panel[0]][0], zregion[panel[0]][-1]) - ztol + +print('zmax =', zmax) + +#print(h_i) + + + +p_i = [[] for _ in range(num_panels)] +A_i = [[] for _ in range(num_panels)] +r_h = [[] for _ in range(num_panels)] +h_i = [[] for _ in range(num_panels)] +K_i = [[] for _ in range(num_panels)] +Q_i = [[] for _ in range(num_panels)] +for p in range(num_panels): +    if p == panel[0]-1 and zregion[p][-1] < zmax: +        # ensure end node in region to the left of channel is dry: +        xregion[p] = np.append(xregion[p], xin[marker_ind[p]]) +        zregion[p] = np.append(zregion[p], zin[marker_ind[p]]) +    if p == panel[0]+1 and zregion[p][0] < zmax: +        # ensure start node in region to the right of channel is dry: +        xregion[p] = np.insert(xregion[p], 0, xin[marker_ind[p]-1]) +        zregion[p] = np.insert(zregion[p], 0, zin[marker_ind[p]-1]) +    if zmax > zmin[p]: +        p_i[p], A_i[p], r_h[p], h_i[p], K_i[p], Q_i[p] = conveyance( +            numH, +            n_co[p], +            xregion[p], +            zregion[p], +            zmin[p], +            zmax) +        if plotting: +            plot_region( +                h_i[p]-zmin[p], 'maximum depth / m', +                r_h[p], 'hydraulic radius / m', +                K_i[p], r'conveyance / $m^3/s$', +                Q_i[p], r'discharge / $m^3/s$', +                'Panel {}'.format(p)) +    else: +        p_i[p], A_i[p], r_h[p], h_i[p], K_i[p], Q_i[p] = [ +            [0] * numH for _ in range(6)] + +# sort list of discharge lists according to panel fill order: +sortedQ = [Q_i[i] for i in panel] +# create cumulative discharge list: +total_flow = np.cumsum([item[-1] for item in sortedQ]) +print('total_flow = ', total_flow) +# target_flow_west = target_flow - Q_i[-1] - Q_i_east[-1] +# calculate velocity: note dependence on hydraulic radius +velocity_channel = Q_i[panel[0]][-1]/A_i[panel[0]][-1] +# velocity_east    = Q_i_east[-1]/A_i_east[-1] + +# print(target_flow_west) +# find part-filled panel: +if total_flow[-1] > target_flow: +    ind_p = bisect.bisect(total_flow, target_flow) +else: +    print('Error: imposed discharge is higher than total capacity of panels.') +    sys.exit() + +print('index of part-filled panel:', ind_p) + +# calculate target flow in part-filled panel: +if ind_p == 0: +    panel_target_flow = target_flow +else: +    panel_target_flow = target_flow - total_flow[ind_p-1] + +# find insertion point for target flow value: +ind_q = bisect.bisect(Q_i[panel[ind_p]], panel_target_flow) + +print('insertion point =', ind_q) + +# find height at target flow by linear interpolation +h_extra = interp( +    panel_target_flow, +    h_i[panel[ind_p]][ind_q], +    h_i[panel[ind_p]][ind_q-1], +    Q_i[panel[ind_p]][ind_q], +    Q_i[panel[ind_p]][ind_q-1]) + +print('heights:', h_i[panel[ind_p]][ind_q-1], h_extra, h_i[panel[ind_p]][ind_q]) + +# find area at target flow by linear interpolation +A_extra = interp( +    h_extra, +    A_i[panel[ind_p]][ind_q], +    A_i[panel[ind_p]][ind_q-1], +    h_i[panel[ind_p]][ind_q], +    h_i[panel[ind_p]][ind_q-1]) +     +print('hydraulic radii:', r_h[panel[ind_p]][ind_q-1], r_h[panel[ind_p]][ind_q]) + +velocity_panel    = panel_target_flow/A_extra +print('velocities:', velocity_channel, velocity_panel) + +csa = np.zeros(len(xin))             # cross-sectional area of element +csa_p = np.zeros(num_panels)         # cross-sectional area of panel +for i, p in enumerate(panel): +    if i < ind_p: +        # panels are filled +        area_sum = 0 +        for m in range(marker_ind[p], marker_ind[p+1]): +            csa[m] = max(0, (zmax - zin[m])*dX) +            area_sum += csa[m] +        csa_p[p] = area_sum +    elif i == ind_p: +        # panel is part-filled +        area_sum = 0 +        for m in range(marker_ind[p], marker_ind[p+1]): +            csa[m] = max(0, (h_extra - zin[m])*dX) +            area_sum += csa[m] +        csa_p[p] = area_sum +    else: +        # panel is empty +        for m in range(marker_ind[p], marker_ind[p+1]): +            csa[m] = 0 +        csa_p[p] = 0 + + +#print('csa_p[0] = {} csa_p[1] = {}'.format(csa_p[0], csa_p[1])) +#print('A_i_west = {} A_i = {} A_i_east = {}'.format(A_extra, A_i[-1], A_i_east[-1])) + + +save_bc(outputFilename) | 
