-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathparse.py
231 lines (205 loc) · 8.63 KB
/
parse.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
# -*- coding: utf-8 -*-
import os
import shutil
import numpy as np
source_pollutant = "/net/20/kun/source/HOUREMIS/HOUREMIS_"
source_inp = "/net/20/kun/source/inps_old/Linerun_"
target_inp = "/net/20/kun/source/inps"
NO2 = {
'0103' : ' O3VALUES HROFDY 5.34 5.88 6.41 6.95 7.48 7.48 6.95 5.88 6.41 7.48 9.62 11.8 13.4 14.4 14.4 13.9 11.8 8.55 6.41 5.88 5.34 5.34 5.34 5.34',
'0403' : ' O3VALUES HROFDY 15.8 13.9 12.8 11.4 10.6 10.6 10.6 10.6 13.9 18.3 25.3 31.5 36.3 40.3 42.1 42.9 41.4 39.6 34.1 28.2 23.1 19.4 16.5 16.1',
'0703' : ' O3VALUES HROFDY 13.7 11 11.4 10 10.4 8.7 8.03 9.71 14.7 23.4 35.5 47.5 58.9 66.6 70.3 70 69.3 60.6 53.6 46.2 35.5 23.4 18.1 14.4',
'1003' : ' O3VALUES HROFDY 6.23 6.23 6.23 6.23 6.79 6.79 6.23 5.66 6.23 9.06 14.2 20.4 27.2 32.8 35.7 35.7 31.7 24.3 18.1 11.9 9.62 8.49 7.92 6.79'
}
def parse_inp():
pollutants = ["BC", "CO", "NO2", "PM"]
dates = ["0103", "0403", "0703", "1003"]
hours = range(1, 25)
for p in pollutants:
for date in dates:
for hour in hours:
hour = '0'+str(hour) if hour < 10 else str(hour)
in_file = "%s%s_%s/aermod_%s.inp" % (source_inp, p, date, hour)
out_file = "%s/%s_%s_%s.inp" % (target_inp, p, date, hour)
with open(in_file, 'r') as inp:
out = open(out_file, 'w')
for line in inp:
if line.startswith('SO HOUREMIS'):
pass
elif line.startswith('AVERTIME', 3):
out.write(" AVERTIME 1\n")
elif p == 'NO2' and line.startswith('OZONEVAL', 3):
out.write(NO2[date]+'\n')
elif line.startswith('OU PLOTFILE'):
pass
else:
out.write(line)
def parse_inp_jam_and_apec():
pollutants = ["BC", "PM"]
dates = ["1110", "0929"]
details = [('14', '11', '10'), ('13', '09', '29')]
hours = ['0'+str(hour) if hour < 10 else str(hour) for hour in range(1, 25)]
for p in pollutants:
# use parsed inp as template
in_file = "%s/%s_%s_%s.inp" % (target_inp, p, '0103', '01')
inp = open(in_file, 'r')
inps = inp.readlines()
for date, detail in zip(dates, details):
for hour in hours:
new_startend = 'ME STARTEND' + ((' %s %s %s ' % detail) + hour)*2 + '\n'
# print 'ME STARTEND 13 10 03 01 13 10 03 01'
# print new_startend
out_file = "%s/%s_%s_%s.inp" % (target_inp, p, date, hour)
with open(out_file, 'w') as out:
for line in inps:
if line.startswith('ME STARTEND'):
out.write(new_startend)
else:
out.write(line)
def parse_houremis():
def houremis(pollutant, date):
in_file = source_pollutant + pollutant
out_file = source_pollutant+ pollutant +"_" + date
date = date[:2]+" "+date[2:]
out = open(out_file, 'w')
with open(in_file, 'r') as file:
for line in file:
# print line[:15] + "04 03" + line[20:]
# exit(0)
out.write(line[:15] + date + line[20:])
out.close()
pollutants = ["BC", "CO", "NOX", "PM"]
dates = ["0403", "0703", "1003", "0103"]
for p in pollutants:
for date in dates:
# print source_pollutant+ p +"_" + date
if date == "0103":
shutil.move(source_pollutant+p, source_pollutant+p+"_" + date)
else:
houremis(p, date)
def parse_source_from_excel():
pollutants = ['BC', 'PM'] #+ ['CO', 'NO']
src_file = '/net/20/kun/source/PM.csv'
template = '/net/20/kun/source/source'
STK_nums = 169908
params_weekday = np.zeros((STK_nums, 24))
params_weekend = np.zeros((STK_nums, 24))
params_jam = np.zeros((STK_nums, 24))
params_apec = np.zeros((STK_nums, 24))
with open(template) as a:
source_lines = a.readlines()
def parse_source_p(p):
print 'parsing ' + p + ' ...'
with open('/net/20/kun/source/'+p+'.csv') as infile:
i = 0
infile.readline()
infile.readline()
for line in infile:
line = line.split(',')
jam = line[7:31]
weekday = line[31:55]
weekend = line[55:79]
apec = line[79:103]
params_weekday[i, :] = weekday
params_weekend[i, :] = weekend
params_jam[i, :] = jam
params_apec[i, :] = apec
i += 1
# if i > 3:
# break
# print "%.4E" % params_weekday[1,0]
# exit()
for situation, params in [('wkd', params_weekday), ('wke', params_weekend), ('jam', params_jam), ('apec', params_apec)]:
for h in range(1, 25):
hh = '0'+str(h) if h < 10 else str(h)
source_file = '/net/20/kun/source/sources/%s_%s_%s' % (p, hh, situation)
with open(source_file, 'w') as o:
i = 0
for line in source_lines:
if i%2==0:
o.write(line)
else:
ol = line.split()
ol[3] = "%.4E" % params[i/2, h-1]
o.write(' '.join(ol)+'\n')
i+= 1
for p in pollutants:
parse_source_p(p)
def parse_source_from_excel_new():
pollutants = ['BC', 'PM']
situations = ['wkd', 'wke', 'jam', 'apec']
base = '/net/20/kun/source/'
STK_nums = 169908
params_rate = np.zeros((STK_nums, 24))
params_location = [None]*STK_nums
params_width = [''] * STK_nums
def parse_source_ps(p, s, fisrt):
ps = '%s_%s' % (p, s)
print 'parsing %s ...' % ps
with open(base+ps+'.csv') as infile:
i = 0
infile.readline()
for line in infile:
line = line.split(',')
rate = line[31:55]
params_rate[i, :] = rate
if first:
location = [int(l) for l in line[55:60]]
width = line[5]
for j in range(4):
location[j] -= 420000
params_location[i] = ' '.join(str(item) for item in location)
params_width[i] = width
i += 1
for h in range(1, 25):
hh = '0'+str(h) if h < 10 else str(h)
outfile = base+'sources/'+ps+'_'+hh
print 'writing to ' + outfile
with open(outfile, 'w') as o:
for i in xrange(STK_nums):
o.write('SO LOCATION STK%d LINE %s\n' % (i+1, params_location[i]))
o.write('SO SRCPARAM STK%d %.4E 0.4 %s 0\n' % (i+1, params_rate[i, h-1], params_width[i]))
first = True
for p in pollutants:
for s in situations:
parse_source_ps(p, s, first)
first = False
# deprecated
def parse_source():
'''
污染物为PM时，需要把HOUREMIS里面SRC参数写入对应hour的source文件
'''
src_file = '/net/20/kun/source/source'
hem_file = '/net/20/kun/source/HOUREMIS/HOUREMIS_'
pollutants = ['BC', 'CO', 'NOX', 'PM']
STK_nums = 169908
params = [0] * STK_nums * 24
with open(src_file) as a:
source_lines = a.readlines()
for p in pollutants:
hem = open(hem_file + p + '_0103')
i = 0
for line in hem:
params[i] = line.split()[7]
i += 1
i = 0
j = 0
for h in range(1, 25):
hh = '0'+str(h) if h < 10 else str(h)
with open('/net/20/kun/source/sources/source_'+p+'_'+hh, 'w') as o:
i = 0
for line in source_lines:
if i%2==0:
o.write(line)
else:
ol = line.split()
ol[3] = params[j]
o.write(' '.join(ol)+'\n')
j += 1
i+= 1
#parse_inp()
parse_inp_jam_and_apec()
# parse_houremis()
# parse_source()
# parse_source_from_excel()
# parse_source_from_excel_new()