90 行
3.4 KiB
Python
90 行
3.4 KiB
Python
import numpy as np
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from pyat.AcousticPara import GetEnv, Coord
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from pyat.DataBase import DataBase
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from pyat.bellhop import call_Bellhop
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from pyat.krakenc import call_krakenc
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from pyat.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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""" Input:
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freq - float, Frequency
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sourceDepth - float, Source depth
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sourceLat - float, Source lat
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sourceLon - float, Source lon
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receiveDepth - float, Receive depth
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receiveLat - float, Receive lat
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receiveLon - float, Receive lon
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range - float, Range from source to receive
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azi - float, azimuth angle from receive to source
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timeType - char, #全年平均 'Annual', #1-12月'January''February''March''April''May''June''July''August''September'
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October': '10''November''December', #北半球四季'Winter''Spring''Summer''Autumn'
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modelType - char, 'bellhop'、'kraken'、'ram'
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isPlot - plot or not
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"""
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""" Output:
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ranges 距离
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depths 深度
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TL 传播损失
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bathym类 地形数据 bathym.r距离 bathym.d深度
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"""
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bathym, ssp, sed, base = [], [], [], []
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if (receiveLat != None) and (receiveLon != None):
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[bathym, ssp, sed, base] = GetEnv(database, 25, Coord(sourceLon, sourceLat), coordR=Coord(receiveLon, receiveLat))
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elif (range != None) and (azi != None):
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[bathym, ssp, sed, base] = GetEnv(database, 25, Coord(sourceLon, sourceLat), R=range, azi=azi)
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else:
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print('no receive info!')
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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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# 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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plt.xlabel("Range/m")
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plt.ylabel("Depth/m")
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plt.gca().invert_yaxis()
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plt.colorbar()
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plt.show()
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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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# 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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plt.xlabel("Range/m")
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plt.ylabel("Depth/m")
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plt.gca().invert_yaxis()
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plt.colorbar()
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plt.show()
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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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# 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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plt.xlabel("Range/m")
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plt.ylabel("Depth/m")
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plt.gca().invert_yaxis()
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plt.colorbar()
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plt.show()
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return rr, rd, TL, bathym
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else:
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return [], [], [], bathym
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# # 创建类
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# database = DataBase()
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# # 设置时间段
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# database.set_timePeriod('06')
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# # 设置时间段
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# #database.set_timePeriod(timeIndex)
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# range, depth, tl, bathym = call_tl(database=database,freq=200, sourceDepth=60, sourceLat=19, sourceLon=127,
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# receiveLat=17.5, receiveLon=127.1, modelType='ram', isPlot=True)
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