Muskingum routing in the IJssel - verification scriptΒΆ
Code adjusted from https://github.com/quaquel/epa1361_open. The output of this model is equal to my own model, as can be seen in this script.
Source: https://onlinelibrary.wiley.com/doi/abs/10.1111/jfr3.12532
Ciullo, A., de Bruijn, K. M., Kwakkel, J. H., & Klijn, F. (2019). Accounting for the uncertain effects of hydraulic interactions in optimising embankments heights: Proof of principle for the IJssel River. Journal of Flood Risk Management, e12532.
[1]:
import sys
import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
[2]:
import generate_network
from functions_ijssel_muskingum import Muskingum
[3]:
G, dike_list = generate_network.get_network()
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-3-022e56b79809> in <module>
----> 1 G, dike_list = generate_network.get_network()
~/checkouts/readthedocs.org/user_builds/rna/checkouts/stable/docs/ijssel/generate_network.py in get_network()
9
10 # load data
---> 11 df = pd.read_excel('../../data/network-structure.xlsx')
12 df = df.set_index('node')
13 nodes = df.to_dict('index')
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/util/_decorators.py in wrapper(*args, **kwargs)
206 else:
207 kwargs[new_arg_name] = new_arg_value
--> 208 return func(*args, **kwargs)
209
210 return wrapper
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/io/excel/_base.py in read_excel(io, sheet_name, header, names, index_col, usecols, squeeze, dtype, engine, converters, true_values, false_values, skiprows, nrows, na_values, keep_default_na, verbose, parse_dates, date_parser, thousands, comment, skip_footer, skipfooter, convert_float, mangle_dupe_cols, **kwds)
308
309 if not isinstance(io, ExcelFile):
--> 310 io = ExcelFile(io, engine=engine)
311 elif engine and engine != io.engine:
312 raise ValueError(
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/io/excel/_base.py in __init__(self, io, engine)
817 self._io = _stringify_path(io)
818
--> 819 self._reader = self._engines[engine](self._io)
820
821 def __fspath__(self):
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/io/excel/_xlrd.py in __init__(self, filepath_or_buffer)
19 err_msg = "Install xlrd >= 1.0.0 for Excel support"
20 import_optional_dependency("xlrd", extra=err_msg)
---> 21 super().__init__(filepath_or_buffer)
22
23 @property
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/io/excel/_base.py in __init__(self, filepath_or_buffer)
357 self.book = self.load_workbook(filepath_or_buffer)
358 elif isinstance(filepath_or_buffer, str):
--> 359 self.book = self.load_workbook(filepath_or_buffer)
360 else:
361 raise ValueError(
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/io/excel/_xlrd.py in load_workbook(self, filepath_or_buffer)
34 return open_workbook(file_contents=data)
35 else:
---> 36 return open_workbook(filepath_or_buffer)
37
38 @property
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/xlrd/__init__.py in open_workbook(filename, logfile, verbosity, use_mmap, file_contents, encoding_override, formatting_info, on_demand, ragged_rows)
109 else:
110 filename = os.path.expanduser(filename)
--> 111 with open(filename, "rb") as f:
112 peek = f.read(peeksz)
113 if peek == b"PK\x03\x04": # a ZIP file
FileNotFoundError: [Errno 2] No such file or directory: '../../data/network-structure.xlsx'
[4]:
class DikeNetwork(object):
def __init__(self):
# planning steps
self.num_events = 30
# load network
G, dike_list = generate_network.get_network()
self.Qpeaks = 2000 #np.random.uniform(1000,16000,100)
self.G = G
self.dikelist = dike_list
def printG(self):
print(G.nodes.data())
def getG(self):
return G
def init_node(self,value, time):
init = np.repeat(value, len(time)).tolist()
return init
def _initialize_hydroloads(self, node, time, Q_0):
#node['cumVol'], node['wl'], node['Qpol'], node['hbas'] = (
# self.init_node(0, time) for _ in range(4))
node['Qin'], node['Qout'] = (self.init_node(Q_0, time) for _ in range(2))
#node['status'] = self.init_node(False, time)
#node['tbreach'] = np.nan
return node
def calc_wave(self,timestep=1):
startnode = G.node['A.0']
waveshape_id = 0
Qpeak = self.Qpeaks#[0]
dikelist = self.dikelist
time = np.arange(0, startnode['Qevents_shape'].loc[waveshape_id].shape[0],
timestep)
startnode['Qout'] = Qpeak * startnode['Qevents_shape'].loc[waveshape_id]
# Initialize hydrological event:
for key in dikelist:
node = G.node[key]
#Q_0 = int(G.node['A.0']['Qout'][0])
Q_0 = G.node['A.0']['Qout'][0]
self._initialize_hydroloads(node, time, Q_0)
# Run the simulation:
# Run over the discharge wave:
for t in range(1, len(time)):
# Run over each node of the branch:
for n in range(0, len(dikelist)):
# Select current node:
node = G.node[dikelist[n]]
if node['type'] == 'dike':
# Muskingum parameters:
C1 = node['C1']
C2 = node['C2']
C3 = node['C3']
prev_node = G.node[node['pnode']]
# Evaluate Q coming in a given node at time t:
node['Qin'][t] = Muskingum(C1, C2, C3,
prev_node['Qout'][t],
prev_node['Qout'][t - 1],
node['Qin'][t - 1])
node['Qout'][t] = node['Qin'][t]
def __call__(self, timestep=1, **kwargs):
G = self.G
Qpeaks = self.Qpeaks
dikelist = self.dikelist
[5]:
dikeNetwork = DikeNetwork()
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
<ipython-input-5-e47df4b58fc1> in <module>
----> 1 dikeNetwork = DikeNetwork()
<ipython-input-4-f3ab11cb7e64> in __init__(self)
5
6 # load network
----> 7 G, dike_list = generate_network.get_network()
8
9 self.Qpeaks = 2000 #np.random.uniform(1000,16000,100)
~/checkouts/readthedocs.org/user_builds/rna/checkouts/stable/docs/ijssel/generate_network.py in get_network()
9
10 # load data
---> 11 df = pd.read_excel('../../data/network-structure.xlsx')
12 df = df.set_index('node')
13 nodes = df.to_dict('index')
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/util/_decorators.py in wrapper(*args, **kwargs)
206 else:
207 kwargs[new_arg_name] = new_arg_value
--> 208 return func(*args, **kwargs)
209
210 return wrapper
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/io/excel/_base.py in read_excel(io, sheet_name, header, names, index_col, usecols, squeeze, dtype, engine, converters, true_values, false_values, skiprows, nrows, na_values, keep_default_na, verbose, parse_dates, date_parser, thousands, comment, skip_footer, skipfooter, convert_float, mangle_dupe_cols, **kwds)
308
309 if not isinstance(io, ExcelFile):
--> 310 io = ExcelFile(io, engine=engine)
311 elif engine and engine != io.engine:
312 raise ValueError(
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/io/excel/_base.py in __init__(self, io, engine)
817 self._io = _stringify_path(io)
818
--> 819 self._reader = self._engines[engine](self._io)
820
821 def __fspath__(self):
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/io/excel/_xlrd.py in __init__(self, filepath_or_buffer)
19 err_msg = "Install xlrd >= 1.0.0 for Excel support"
20 import_optional_dependency("xlrd", extra=err_msg)
---> 21 super().__init__(filepath_or_buffer)
22
23 @property
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/io/excel/_base.py in __init__(self, filepath_or_buffer)
357 self.book = self.load_workbook(filepath_or_buffer)
358 elif isinstance(filepath_or_buffer, str):
--> 359 self.book = self.load_workbook(filepath_or_buffer)
360 else:
361 raise ValueError(
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/pandas/io/excel/_xlrd.py in load_workbook(self, filepath_or_buffer)
34 return open_workbook(file_contents=data)
35 else:
---> 36 return open_workbook(filepath_or_buffer)
37
38 @property
~/checkouts/readthedocs.org/user_builds/rna/envs/stable/lib/python3.7/site-packages/xlrd/__init__.py in open_workbook(filename, logfile, verbosity, use_mmap, file_contents, encoding_override, formatting_info, on_demand, ragged_rows)
109 else:
110 filename = os.path.expanduser(filename)
--> 111 with open(filename, "rb") as f:
112 peek = f.read(peeksz)
113 if peek == b"PK\x03\x04": # a ZIP file
FileNotFoundError: [Errno 2] No such file or directory: '../../data/network-structure.xlsx'
[6]:
dikeNetwork.calc_wave()
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-6-81275308749e> in <module>
----> 1 dikeNetwork.calc_wave()
NameError: name 'dikeNetwork' is not defined
[7]:
G = dikeNetwork.getG()
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-7-22b4b66c74d7> in <module>
----> 1 G = dikeNetwork.getG()
NameError: name 'dikeNetwork' is not defined
[8]:
#G.nodes['A.1']
[9]:
plt.figure(figsize=(20,10))
plt.plot(G.node['A.0']['Qout'])
df = pd.DataFrame({'Qin':G.node['A.0']['Qout']})
dikelist = dikeNetwork.dikelist
for n in range(0, len(dikelist)):
node = G.node[dikelist[n]]
plt.plot(node['Qin'])
df[dikelist[n]] = node['Qin']
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-9-b770146659e7> in <module>
1 plt.figure(figsize=(20,10))
----> 2 plt.plot(G.node['A.0']['Qout'])
3 df = pd.DataFrame({'Qin':G.node['A.0']['Qout']})
4
5 dikelist = dikeNetwork.dikelist
NameError: name 'G' is not defined
<Figure size 1920x960 with 0 Axes>
[10]:
df
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-10-00cf07b74dcd> in <module>
----> 1 df
NameError: name 'df' is not defined