放开距离采样间隔参数dr
这个提交包含在：
+2
-2
@@ -49,11 +49,11 @@ def calZmax(ssp):
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def call_Bellhop_p(filename):
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system(AtBinPath + "/bellhop " + filename)
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def call_Bellhop(freq, sd, bathm, ssp, sed, base):
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def call_Bellhop(freq, sd, bathm, ssp, sed, base, dr=0.1):
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# Source and receiving position
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filename = 'envB'
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Rmax = bathm.r[-1] # unit: km
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dr = 0.1 # wavelength / 10, unit: km
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# dr = 0.1 # wavelength / 10, unit: km
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ran = np.linspace(0, Rmax, round(Rmax / dr)) # Receiving range (unit: km)
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NZmax, Zmax, ssp_idx = calZmax(ssp)
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RD = np.linspace(0, Zmax, round(Zmax / 10) + 1)
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+12
-24
@@ -11,8 +11,6 @@ from env import Pos, Source, Dom, cInt, SSPraw, SSP, HS, BotBndry, TopBndry, Bnd
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import matplotlib.pyplot as plt
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from config import AtBinPath
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file_cz_data = open('cz_data.txt', 'w')
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class CzRangeWidth:
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def __init__(self, minRange, maxRange, width):
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@@ -48,11 +46,11 @@ def calZmax(ssp, sed):
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return Zmax, ssp_idx
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def call_Bellhop(freq, sd, bathm, ssp, sed, base,azi):
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def call_Bellhop(freq, sd, dr, bathm, ssp, sed, base,azi):
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# Source and receiving position
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filename = 'cz'+str(azi)
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Rmax = bathm.r[-1] # unit: km
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dr = 0.1 # wavelength / 10, unit: km
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# dr = 0.1 # wavelength / 10, unit: km
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ran = np.linspace(0, Rmax, round(Rmax / dr)) # Receiving range (unit: km)
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Zmax, ssp_idx = calZmax(ssp, sed)
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"""RD 已修改 8.26"""
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@@ -118,11 +116,11 @@ def call_Bellhop(freq, sd, bathm, ssp, sed, base,azi):
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return Pos1, TL
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def call_Bellhop_Rays(freq, sd, bathm, ssp, sed, base,azi):
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def call_Bellhop_Rays(freq, sd, dr, bathm, ssp, sed, base,azi):
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# Source and receiving position
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filename = 'cz_ray'+str(azi)
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Rmax = bathm.r[-1] # unit: km
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dr = 0.1 # wavelength / 10, unit: km
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# dr = 0.1 # wavelength / 10, unit: km
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ran = np.linspace(0, Rmax, round(Rmax / dr)) # Receiving range (unit: km)
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Zmax, ssp_idx = calZmax(ssp, sed)
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"""RD 已修改 8.26"""
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@@ -227,8 +225,6 @@ def call_hjq(r, TL):
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m = r[out[0]]
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n = r[out[len(out) - 1]]
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l = n - m
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# file_cz_data.write('\n'"会聚区距离：%.1fm"%m +"-%.1fm" %n)
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# file_cz_data.write('\n'"会聚区宽度：%.1fm\n"%l )
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czrangewidth_list.append(CzRangeWidth(m, n, l))
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out.clear()
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signal = 0
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@@ -236,13 +232,10 @@ def call_hjq(r, TL):
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m = r[out[0]]
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n = r[out[len(out) - 1]]
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l = n - m
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# file_cz_data.write('\n'"会聚区距离：%.1fm" % m + "-%.1fm" % n)
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# file_cz_data.write('\n'"会聚区宽度：%.1fm\n" % l )
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czrangewidth_list.append(CzRangeWidth(m, n, l))
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out.clear()
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signal = 0
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# if signal==1:
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# file_cz_data.write('\n'" 没有出现会聚区\n")
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# 滤波器效果图：
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# plt.plot(r, TL)
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# plt.plot(r, TL_R)
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@@ -266,18 +259,13 @@ def call_hjq(r, TL):
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return czrangewidth_list
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def call_fangwei(freq, sd, bathm, ssp, sed, base, azi, isPlot=False):
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def call_fangwei(freq, sd, dr, bathm, ssp, sed, base, azi, isPlot=False):
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czdetail = CzDetail("", [], [])
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last = len(ssp[0].c) - 1
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# if ssp[0].c[0] > ssp[0].c[last]:
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# file_cz_data.write('\n'"直达会聚区：无")
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# file_cz_data.write('\n'"反射会聚区：")
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# else:
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# file_cz_data.write('\n'"直达会聚区：")
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sed = None
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rays_total = call_Bellhop_Rays(freq, sd, bathm, ssp, sed, base, azi)
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rays_total = call_Bellhop_Rays(freq, sd, dr, bathm, ssp, sed, base, azi)
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Rays = find_cvgcRays(rays_total)
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[Pos, TL] = call_Bellhop(freq, sd, bathm, ssp, sed, base, azi)
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[Pos, TL] = call_Bellhop(freq, sd, dr, bathm, ssp, sed, base, azi)
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[x, x, x, x, Pos, pressure] = read_shd('cz'+str(azi)+'.shd')
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TL = -10 * np.log10(np.square(np.abs(pressure))) # Transmission Loss
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# Plot
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@@ -297,12 +285,12 @@ def call_fangwei(freq, sd, bathm, ssp, sed, base, azi, isPlot=False):
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czdetail.reflectCz = []
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return Pos.r.range, Pos.r.depth, TL[0, 0, :, :], bathm, Rays, czdetail
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def child(freq, sd, isPlot, bathm, ssp, sed, base, azi, descript):
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ranges, depths, TL, bathym, Rays, czdetail = call_fangwei(freq, sd, bathm, ssp, sed, base, azi,isPlot=isPlot)
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def child(freq, sd, dr, isPlot, bathm, ssp, sed, base, azi, descript):
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ranges, depths, TL, bathym, Rays, czdetail = call_fangwei(freq, sd, dr, bathm, ssp, sed, base, azi, isPlot=isPlot)
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czdetail.descript = descript
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return CzData(azi, ranges, depths, TL, bathym, Rays, czdetail)
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def call_cz(database, freq, lat, lon, azi, sourceDepth=10, isPlot=False):
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def call_cz(database, freq, lat, lon, azi, sourceDepth=10, dr=0.1, isPlot=False):
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sd = np.array([sourceDepth]) # Source depth
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results = []
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@@ -315,7 +303,7 @@ def call_cz(database, freq, lat, lon, azi, sourceDepth=10, isPlot=False):
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if azi != None:
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[bathm, ssp, sed, base] = GetEnv(database, 25, Coord(lon, lat), R=100, azi=azi)
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if np.mean(bathm.d) >= 2000:
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ranges, depths, TL, bathym, Rays, czdetail = call_fangwei(freq, sd, bathm, ssp, sed, base, azi,
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ranges, depths, TL, bathym, Rays, czdetail = call_fangwei(freq, sd, dr, bathm, ssp, sed, base, azi,
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isPlot=isPlot)
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czdetail.descript = "{:.1f}°方向".format(azi)
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results.append(CzData(0, ranges, depths, TL, bathym, Rays, czdetail))
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@@ -329,7 +317,7 @@ def call_cz(database, freq, lat, lon, azi, sourceDepth=10, isPlot=False):
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for i in range(8):
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[bathm, ssp, sed, base] = GetEnv(database, 25, Coord(lon, lat), R=100, azi=theta[i])
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if np.mean(bathm.d) >= 2000:
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applyResults.append(pool.apply_async(partial(child, freq, sd, isPlot), (bathm, ssp, sed, base, theta[i], descripts[i])))
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applyResults.append(pool.apply_async(partial(child, freq, sd, dr, isPlot), (bathm, ssp, sed, base, theta[i], descripts[i])))
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# applyResults.append(pool.apply_async(partial(child, database, freq, lat, lon, sd, isPlot), (pi,)))
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pool.close()
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pool.join()
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+2
-2
@@ -15,7 +15,7 @@ def calZmax(ssp, sed):
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return Zmax
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def call_krakenc(freq, sd, bathm, ssp, sed, base):
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def call_krakenc(freq, sd, bathm, ssp, sed, base, dr=0.1):
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filename = "envK"
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envFilename = "envK.env"
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model = "KRAKEN"
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@@ -23,7 +23,7 @@ def call_krakenc(freq, sd, bathm, ssp, sed, base):
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# Source and receiving position
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Rmax = bathm.r[-1] # unit: km
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dr = (1500 / freq / 3) / 1000 # wavelength / 10, unit: km
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# dr = (1500 / freq / 3) / 1000 # wavelength / 10, unit: km
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ran = np.linspace(0, Rmax, round(Rmax / dr)) # Receiving range (unit: km)
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Zmax = calZmax(ssp, sed)
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RD = np.linspace(0, Zmax, round(Zmax) + 1)
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+2
-2
@@ -13,7 +13,7 @@ def calZmax(ssp, sed):
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Zmax = max(d)
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return Zmax
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def call_ram(freq, sd, bathm, ssp, sed):
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def call_ram(freq, sd, bathm, ssp, sed, dr=0.1):
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''' ********************************************************************************* '''
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''' ************************** Sound Field Calculation ****************************** '''
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''' ********************************************************************************* '''
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@@ -24,7 +24,7 @@ def call_ram(freq, sd, bathm, ssp, sed):
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zmax = round(max(bathm.d) * 2) # Maximum receiving depth (uint: m)
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zmplt = round(max(bathm.d)*1.1) # Maximum depth of plot (uint: m)
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dz = 1500 / freq / 15 # Step in depth direction: wavelength / 15
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dr = 10 * dz # Step in range direction
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# dr = 10 * dz # Step in range direction
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Zmax = calZmax(ssp, sed)
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rd = Zmax
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pos = PosRAM(sd, rd, rmax, zmax, dr, dz, zmplt)
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+4
-4
@@ -7,7 +7,7 @@ from ram import call_ram
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import matplotlib.pyplot as plt
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def call_tl(database, freq, sourceDepth, sourceLat, sourceLon,
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receiveLat=None, receiveLon=None, range=None, azi=None, modelType='kraken', isPlot=False):
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receiveLat=None, receiveLon=None, range=None, azi=None, dr=0.1, modelType='kraken', isPlot=False):
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""" Input:
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freq - float, Frequency
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sourceDepth - float, Source depth
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@@ -40,7 +40,7 @@ def call_tl(database, freq, sourceDepth, sourceLat, sourceLon,
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return [], [], [], bathym
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if modelType == 'bellhop':
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sd = np.array([sourceDepth]) # Source depth
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[Pos, TL] = call_Bellhop(freq, sd, bathym, ssp, sed, base)
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[Pos, TL] = call_Bellhop(freq, sd, bathym, ssp, sed, base, dr)
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# Plot
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if isPlot:
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plt.pcolor(Pos.r.range, Pos.r.depth, TL[0,0,:,:], vmin=40, vmax=130, cmap='jet_r', shading='auto')
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@@ -52,7 +52,7 @@ def call_tl(database, freq, sourceDepth, sourceLat, sourceLon,
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return Pos.r.range, Pos.r.depth, TL[0,0,:,:], bathym
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elif modelType == 'kraken':
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sd = np.array([sourceDepth]) # Source depth
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[Pos, TL] = call_krakenc(freq, sd, bathym, ssp, sed, base)
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[Pos, TL] = call_krakenc(freq, sd, bathym, ssp, sed, base, dr)
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# Plot
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if isPlot:
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plt.pcolor(Pos.r.range, Pos.r.depth, TL[0,0,:,:], vmin=40, vmax=130, cmap='jet_r', shading='auto')
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@@ -64,7 +64,7 @@ def call_tl(database, freq, sourceDepth, sourceLat, sourceLon,
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return Pos.r.range, Pos.r.depth, TL[0,0,:,:], bathym
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elif modelType == 'ram':
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# 调用ram模块
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[rd, rr, TL] = call_ram(freq, sourceDepth, bathym, ssp, sed)
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[rd, rr, TL] = call_ram(freq, sourceDepth, bathym, ssp, sed, dr)
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# Plot
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if isPlot:
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plt.pcolormesh(rr, rd, TL, vmin=60, vmax=130, cmap='jet_r', shading='auto')
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