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rain_generator.py
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from __future__ import unicode_literals
from __future__ import absolute_import
# system modules
from math import sqrt
from math import ceil
import os
import tempfile
import pandas as pd
from numpy import random
from scipy import stats
import webbrowser
import numpy as np
import scipy.linalg
# QGIS modules
from qgis.core import *
from qgis.PyQt.QtCore import Qt
from qgis.PyQt.QtWidgets import *
from qgis.PyQt import uic
from PyQt5.QtCore import *
from .environment import get_ui_path
UI_PATH = get_ui_path('ui_rain_generator.ui')
class PluginDialog(QDialog):
def __init__(self, iface, parent=None, flags=Qt.WindowFlags()):
QDialog.__init__(self, parent, flags)
uic.loadUi(UI_PATH, self)
self.iface = iface
self.input_layer = None
self.RainGaugeLayer.setFilters(QgsMapLayerProxyModel.PointLayer)
self.GenerationAreaLayer.setFilters(QgsMapLayerProxyModel.PolygonLayer)
self.DataAddressField.setFilters(QgsFieldProxyModel.String)
self.RainGaugeLayer.layerChanged.connect(self.UpdateFields)
self.AnalyzeAllDataBox.stateChanged.connect(self.UpdateUntilFromBoxes)
self.SpatialInterpolationMethodBox.activated.connect(self.UpdateExponentFactorField)
self.SaveSpatialInterpolationBox.stateChanged.connect(self.UpdateOutputLocation)
self.SaveStormStatisticsBox.stateChanged.connect(self.UpdateOutputLocation)
self.groupBox_7.toggled.connect(self.GriddedDataChecked)
self.HelpButton.clicked.connect(self.Help)
self.RainGaugeLayer.setLayer(None)
self.GenerationAreaLayer.setLayer(None)
self.SpatialInterpolationMethodBox.addItem("Inversed Distance Weighting")
self.SpatialInterpolationMethodBox.addItem("Trend Surface Analysis (Polynomial 1st Order)")
self.SpatialInterpolationMethodBox.addItem("Trend Surface Analysis (Polynomial 2nd Order)")
# self.SpatialInterpolationMethodBox.setCurrentIndex(-1)
self.DelimiterBox.addItem("space")
self.DelimiterBox.addItem(",")
self.DelimiterBox.addItem("-")
self.DelimiterBox_2.addItem("space")
self.DelimiterBox_2.addItem(",")
self.DelimiterBox_2.addItem("-")
self.InputDataUnitBox.addItem("minutely")
self.InputDataUnitBox.addItem("10-minutely")
self.InputDataUnitBox.addItem("30-minutely")
self.InputDataUnitBox.addItem("hourly")
self.InputDataUnitBox.addItem("daily")
self.dxBox.setValue(5000)
self.dyBox.setValue(5000)
self.browseButton.clicked.connect(self.onBrowseButtonClicked)
self.browseButton_dataanalysis.clicked.connect(self.onBrowseButtonClicked_dataanalysis)
self.browseButton_griddeddata.clicked.connect(self.onBrowseButtonClicked_griddeddata)
self.browseButton_coordinates.clicked.connect(self.onBrowseButtonClicked_coordinates)
self.browseButton.setAutoDefault(False)
self.browseButton_dataanalysis.setAutoDefault(False)
self.FromBox.setEnabled(False)
self.UntilBox.setEnabled(False)
self.CheckButton2.setEnabled(False)
self.label_30.setEnabled(False)
self.label_31.setEnabled(False)
self.folderEdit_dataanalysis.setEnabled(False)
self.browseButton_dataanalysis.setEnabled(False)
self.ProcessButton.setEnabled(False)
self.CheckButton.setEnabled(False)
self.ExponentFactorBox.setEnabled(False)
self.label_32.setEnabled(False)
self.groupBox_2.setEnabled(False)
self.groupBox_3.setEnabled(False)
self.groupBox_5.setEnabled(False)
def Help(self):
webbrowser.open("https://promaides.myjetbrains.com/youtrack/articles/PMDP-A-73/Rain-Generator")
def UpdateFields(self, layer):
self.DataAddressField.setLayer(self.RainGaugeLayer.currentLayer())
self.FromBox.clear()
self.UntilBox.clear()
self.groupBox_2.setEnabled(False)
self.groupBox_3.setEnabled(False)
self.groupBox_5.setEnabled(False)
self.ProcessButton.setEnabled(False)
def UpdateOutputLocation(self):
if self.SaveSpatialInterpolationBox.isChecked() or self.SaveStormStatisticsBox.isChecked():
self.folderEdit_dataanalysis.setEnabled(True)
self.browseButton_dataanalysis.setEnabled(True)
else:
self.folderEdit_dataanalysis.setEnabled(False)
self.browseButton_dataanalysis.setEnabled(False)
def UpdateExponentFactorField(self):
if self.SpatialInterpolationMethodBox.currentText() == "Inversed Distance Weighting":
self.ExponentFactorBox.setEnabled(True)
self.label_32.setEnabled(True)
else:
self.ExponentFactorBox.setEnabled(False)
self.label_32.setEnabled(False)
def UpdateUntilFromBoxes(self):
if self.AnalyzeAllDataBox.isChecked():
self.FromBox.setEnabled(False)
self.UntilBox.setEnabled(False)
self.CheckButton2.setEnabled(False)
self.label_30.setEnabled(False)
self.label_31.setEnabled(False)
self.groupBox_2.setEnabled(True)
else:
self.FromBox.setEnabled(True)
self.UntilBox.setEnabled(True)
self.CheckButton2.setEnabled(True)
self.label_30.setEnabled(True)
self.label_31.setEnabled(True)
self.groupBox_2.setEnabled(False)
self.groupBox_3.setEnabled(False)
def GriddedDataChecked(self):
if self.groupBox_7.isChecked():
self.ProcessButton.setEnabled(True)
self.groupBox.setEnabled(False)
self.groupBox_2.setEnabled(False)
self.SaveSpatialInterpolationBox.setEnabled(False)
self.TimeVieweLayerBox.setEnabled(False)
self.groupBox_5.setEnabled(True)
self.folderEdit_dataanalysis.setEnabled(True)
self.browseButton_dataanalysis.setEnabled(True)
else:
self.ProcessButton.setEnabled(False)
self.groupBox.setEnabled(True)
self.SaveSpatialInterpolationBox.setEnabled(True)
self.TimeVieweLayerBox.setEnabled(True)
self.folderEdit_dataanalysis.setEnabled(False)
self.browseButton_dataanalysis.setEnabled(False)
self.groupBox_5.setEnabled(False)
def onBrowseButtonClicked(self):
currentFolder = self.folderEdit.text()
folder = QFileDialog.getExistingDirectory(self.iface.mainWindow(), 'Rain Generator', currentFolder)
if folder != '':
self.folderEdit.setText(folder)
self.folderEdit.editingFinished.emit()
def onBrowseButtonClicked_dataanalysis(self):
currentFolder = self.folderEdit_dataanalysis.text()
folder = QFileDialog.getExistingDirectory(self.iface.mainWindow(), 'Rain Generator', currentFolder)
if folder != '':
self.folderEdit_dataanalysis.setText(folder)
self.folderEdit_dataanalysis.editingFinished.emit()
def onBrowseButtonClicked_griddeddata(self):
current_filename = self.folderEdit_griddeddata.text()
file = QFileDialog.getOpenFileName(self.iface.mainWindow(), 'Rain Generator', current_filename)
if file[0] != "":
self.folderEdit_griddeddata.setText(file[0])
self.folderEdit_griddeddata.editingFinished.emit()
def onBrowseButtonClicked_coordinates(self):
current_filename = self.folderEdit_coordinates.text()
file = QFileDialog.getOpenFileName(self.iface.mainWindow(), 'Rain Generator', current_filename)
if file[0] != "":
self.folderEdit_coordinates.setText(file[0])
self.folderEdit_coordinates.editingFinished.emit()
class RainGenerator(object):
def __init__(self, iface):
self.iface = iface
self.dialog = None
self.cancel = False
self.act = QAction('Rain Generator', iface.mainWindow())
self.act.triggered.connect(self.execDialog)
def initGui(self, menu=None):
if menu is not None:
menu.addAction(self.act)
else:
self.iface.addToolBarIcon(self.act)
def unload(self, menu=None):
if menu is None:
menu.removeAction(self.act)
else:
self.iface.removeToolBarIcon(self.act)
def execDialog(self):
"""
"""
self.dialog = PluginDialog(self.iface, self.iface.mainWindow())
self.dialog.accepted.connect(self.execTool)
self.dialog.rejected.connect(self.quitDialog)
self.dialog.setModal(False)
self.act.setEnabled(False)
self.dialog.show()
self.dialog.ProcessAreaButton.clicked.connect(self.CreateGenerationArea)
self.dialog.CheckButton.clicked.connect(self.CheckFiles)
self.dialog.ProcessButton.clicked.connect(self.ProcessButtonPressed)
self.dialog.CheckButton2.clicked.connect(self.AnalyzeFromUntil)
self.dialog.GenerateButton.clicked.connect(self.PreGeneration)
self.dialog.UpdateButton.clicked.connect(self.PreCheckFiles)
MaxNumberofStorms=0
def ProcessButtonPressed(self):
self.MaxNumberofStorms = self.dialog.MaxNumberofStormsBox.value()
if self.dialog.groupBox_7.isChecked():
self.PreStormAnalysis_GriddedData()
else:
self.PreSpatialInterpolation()
def scheduleAbort(self):
self.cancel = True
def quitDialog(self):
self.StormTraveledDistance = []
self.StormVolume = []
self.StormDirection = []
self.StormDuration = []
self.StormPeakIntensity = []
self.StormPeakIntensityTimestep = []
self.StormPeakIntensityLocation = []
self.StormSize = []
self.NoStormDuration = []
self.CellCoordinates = []
self.StormLocations = []
self.StormIDs = []
self.Storms = []
self.StormStartingLine = []
self.StormDataWinter = []
self.StormDataSpring = []
self.StormDataSummer = []
self.StormDataFall = []
self.act.setEnabled(True)
self.cancel = False
####################################################################################
####################################################################################
####################################################################################
####################################################################################
####################################################################################
####################################################################################
####################################################################################
# checking files
data = []
ngauges = 0
ntimes = 0
nrains = 0
############################################################
# updates the time and rain column values
def PreCheckFiles(self):
if type(self.dialog.RainGaugeLayer.currentLayer()) == type(None):
self.dialog.iface.messageBar().pushCritical(
'Rain Generator',
'No Layer Selected !'
)
return
files, ok = QgsVectorLayerUtils.getValues(self.dialog.RainGaugeLayer.currentLayer(),
self.dialog.DataAddressField.expression(), False)
if not ok:
return
for i, locations in enumerate(files):
address = locations.replace("\\", "/")
self.dialog.TimeColumnBox.clear()
self.dialog.RainColumnBox.clear()
try:
if self.dialog.DelimiterBox.currentText() == "space":
df = pd.read_csv(address.strip("\u202a"), delimiter=" ")
else:
df = pd.read_csv(address.strip("\u202a"), delimiter=self.dialog.DelimiterBox.currentText())
for c in df.columns:
self.dialog.TimeColumnBox.addItem(c)
self.dialog.RainColumnBox.addItem(c)
except:
return
self.dialog.CheckButton.setEnabled(True)
self.dialog.FromBox.clear()
self.dialog.UntilBox.clear()
self.dialog.groupBox_2.setEnabled(False)
self.dialog.groupBox_3.setEnabled(False)
self.dialog.groupBox_5.setEnabled(False)
self.dialog.ProcessButton.setEnabled(False)
self.data = []
def CheckFiles(self):
self.data = []
files, ok = QgsVectorLayerUtils.getValues(self.dialog.RainGaugeLayer.currentLayer(),
self.dialog.DataAddressField.expression(), False)
if not ok:
self.iface.messageBar().pushCritical(
'Rain Generator',
'Invalid File Locations!'
)
return
numberoftimes = 0
numberofrains = 0
for i, locations in enumerate(files):
address = locations.replace("\\", "/")
if not os.path.isfile(address.strip("\u202a")):
self.iface.messageBar().pushCritical(
'Rain Generator',
'File Does Not Exist!'
)
return
try:
if self.dialog.DelimiterBox.currentText() == "space":
df = pd.read_csv(address.strip("\u202a"), delimiter=" ")
else:
df = pd.read_csv(address.strip("\u202a"), delimiter=self.dialog.DelimiterBox.currentText())
times = df[self.dialog.TimeColumnBox.currentText()].tolist()
rains = df[self.dialog.RainColumnBox.currentText()].tolist()
if len(times) >= numberoftimes:
numberoftimes = len(times)
if len(rains) >= numberofrains:
numberofrains = len(rains)
except:
self.iface.messageBar().pushCritical(
'Rain Generator',
'Could not read Files!'
)
return
#######################################
# putting data in an array
self.ngauges = len(files)
self.ntimes = numberoftimes
self.nrains = numberofrains
for x in range(self.ngauges):
self.data.append([])
for y in range(2):
self.data[x].append([])
for i, locations in enumerate(files):
address = locations.replace("\\", "/")
if self.dialog.DelimiterBox.currentText() == "space":
df = pd.read_csv(address.strip("\u202a"), delimiter=" ")
else:
df = pd.read_csv(address.strip("\u202a"), delimiter=self.dialog.DelimiterBox.currentText())
times = df[self.dialog.TimeColumnBox.currentText()].tolist()
rains = df[self.dialog.RainColumnBox.currentText()].tolist()
for j in range(len(times)):
self.data[i][0].append(times[j])
self.data[i][1].append(rains[j])
# print(self.data)
# filling the for and until boxes
self.dialog.FromBox.clear()
self.dialog.UntilBox.clear()
lengths = []
for j in range(len(self.data)):
lengths.append(len(self.data[j][0]))
for k in self.data[lengths.index(max(lengths))][0]: # adds the time values for the shortest time series
self.dialog.FromBox.addItem(str(k))
self.dialog.UntilBox.addItem(str(k))
# self.dialog.FromBox.currentIndex(0)
# self.dialog.UntilBoxBox.currentIndex(min(lengths)-1)
if self.dialog.AnalyzeAllDataBox.isChecked():
self.dialog.groupBox_2.setEnabled(True)
self.iface.messageBar().pushSuccess(
'Rain Generator',
'Files seem ok !'
)
##################################################################################
def AnalyzeFromUntil(self):
# checks if the values in the from and until boxes are correct and puts them in self.data
tempdata = []
for x in range(len(self.data)):
tempdata.append([])
for y in range(2):
tempdata[x].append([])
fromindex = 0
untilindex = 0
for i in range(len(self.data)):
if self.dialog.FromBox.currentText() not in str(
self.data[i][0]) or self.dialog.UntilBox.currentText() not in str(self.data[i][0]):
self.iface.messageBar().pushCritical(
'Rain Generator',
'Entered Values Dont Exist in At least One of the Input Files !'
)
return
for j in range(len(self.data[i][0])):
if str(self.data[i][0][j]) == self.dialog.FromBox.currentText():
fromindex = j
if str(self.data[i][0][j]) == self.dialog.UntilBox.currentText():
untilindex = j
if fromindex > untilindex:
self.iface.messageBar().pushCritical(
'Rain Generator',
'The Values Entered Are Not Valid !'
)
return
for k in range(fromindex, untilindex + 1):
tempdata[i][0].append(self.data[i][0][k])
tempdata[i][1].append(self.data[i][1][k])
self.data = tempdata
self.dialog.groupBox_2.setEnabled(True)
####################################################################################
####################################################################################
####################################################################################
####################################################################################
####################################################################################
####################################################################################
####################################################################################
# spatial interpolation
##########################################################################
# layer2 = spatial interpolation layer
layer2 = QgsVectorLayer("Polygon", 'Generation_Area', 'memory')
nx = 0
ny = 0
def CreateGenerationArea(self):
if type(self.dialog.GenerationAreaLayer.currentLayer()) == type(None):
self.dialog.iface.messageBar().pushCritical(
'Rain Generator',
'No Layer Selected !'
)
return
self.layer2 = QgsVectorLayer("Polygon", 'Generation_Area', 'memory')
layer = self.dialog.GenerationAreaLayer.currentLayer()
ex = layer.extent()
xmax = ex.xMaximum()
ymax = ex.yMaximum()
xmin = ex.xMinimum()
ymin = ex.yMinimum()
prov = self.layer2.dataProvider()
fields = QgsFields()
fields.append(QgsField('ID', QVariant.Int, '', 10, 0))
fields.append(QgsField('XMIN', QVariant.Double, '', 24, 6))
fields.append(QgsField('XMAX', QVariant.Double, '', 24, 6))
fields.append(QgsField('YMIN', QVariant.Double, '', 24, 6))
fields.append(QgsField('YMAX', QVariant.Double, '', 24, 6))
prov.addAttributes(fields)
self.layer2.updateExtents()
self.layer2.updateFields()
if self.dialog.dxBox.value() <= 0 or self.dialog.dyBox.value() <= 0:
self.dialog.iface.messageBar().pushCritical(
'Rain Generator',
'Invalid Values for dx or dy !'
)
return
else:
hspacing = self.dialog.dxBox.value()
vspacing = self.dialog.dyBox.value()
self.nx = ceil((xmax - xmin) / hspacing)
self.ny = ceil((ymax - ymin) / vspacing)
id = 0
y = ymax
while y >= ymin:
x = xmin
while x <= xmax:
point1 = QgsPointXY(x, y)
point2 = QgsPointXY(x + hspacing, y)
point3 = QgsPointXY(x + hspacing, y - vspacing)
point4 = QgsPointXY(x, y - vspacing)
vertices = [point1, point2, point3, point4] # Vertices of the polygon for the current id
inAttr = [id, x, x + hspacing, y - vspacing, y]
feat = QgsFeature()
feat.setGeometry(QgsGeometry().fromPolygonXY([vertices])) # Set geometry for the current id
feat.setAttributes(inAttr) # Set attributes for the current id
prov.addFeatures([feat])
x = x + hspacing
id += 1
y = y - vspacing
self.layer2.setCrs(
QgsCoordinateReferenceSystem(self.iface.mapCanvas().mapSettings().destinationCrs().authid()))
self.layer2.updateExtents()
QgsProject.instance().addMapLayer(self.layer2)
self.dialog.groupBox_5.setEnabled(True)
self.dialog.ProcessButton.setEnabled(True)
####################################################################
def PreSpatialInterpolation(self):
# print(self.data)
self.dialog.StatusIndicator.setText("Performing Spatial Interpolation...")
QTimer.singleShot(50, self.SpatialInterpolation) # waits half a second for the message to be displayed
#############################################################################################
def SpatialInterpolation(self):
foldername = self.dialog.folderEdit_dataanalysis.text()
if self.dialog.SaveSpatialInterpolationBox.isChecked() or self.dialog.SaveStormStatisticsBox.isChecked():
if not foldername:
self.iface.messageBar().pushCritical(
'Rain Generator',
'No output folder given!'
)
return
filepath = os.path.join(tempfile.gettempdir(), "RainfallSpatialInterpolation" + '.txt')
try: # deletes previous files
if os.path.isfile(filepath):
os.remove(filepath)
except:
pass
try: # empties previous file
file = open(filepath, 'w')
file.close()
except:
pass
with open(filepath, 'a') as SpatialInterpolation:
raingaugelocations = []
generationlocations = []
# getting the locations of raingauges
point_layer = self.dialog.RainGaugeLayer.currentLayer()
features = point_layer.getFeatures()
for feature in features:
buff = feature.geometry()
raingaugelocations.append(buff.asPoint())
# getting the generation locations
area_layer = self.layer2
features = area_layer.getFeatures()
for feature in features:
buff = feature.geometry()
generationlocations.append(buff.centroid().asPoint())
# calculate generation duration
rainlengths = []
for j in range(len(self.data)):
rainlengths.append(len(self.data[j][0]))
###############################################################
# time viewer layer
if self.dialog.TimeVieweLayerBox.isChecked():
layer = self.layer2
feats = [feat for feat in layer.getFeatures()]
timeviewerlayer = QgsVectorLayer("Polygon", 'Time_Viewer_Layer', 'memory')
timeviewerlayer_data = timeviewerlayer.dataProvider()
attr = layer.dataProvider().fields().toList()
timeviewerlayer_data.addAttributes(attr)
timeviewerlayer.dataProvider().addAttributes(
[QgsField("Boundary Value", QVariant.Double), QgsField("date_time", QVariant.Double)])
for i in range(min(rainlengths)):
timeviewerlayer_data.addFeatures(feats)
fieldids = []
fields = timeviewerlayer.dataProvider().fields()
# deleting extra fields
fieldstodelete = ["XMIN", "XMAX", "YMIN", "YMAX"]
for field in fields:
if field.name() in fieldstodelete:
fieldids.append(fields.indexFromName(field.name()))
timeviewerlayer.dataProvider().deleteAttributes(fieldids)
timeviewerlayer.setCrs(
QgsCoordinateReferenceSystem(self.iface.mapCanvas().mapSettings().destinationCrs().authid()))
timeviewerlayer.updateFields()
##################################################################
#################################################################################################
# Inversed Distance Weighting
if self.dialog.SpatialInterpolationMethodBox.currentText() == "Inversed Distance Weighting":
n = self.dialog.ExponentFactorBox.value() # exponent factor for the invert distance weighting formula
# writing the file
for i in range(len(generationlocations)):
SpatialInterpolation.write('BEGIN\n')
SpatialInterpolation.write(
'%s %s area #Length [m²/s], Area [m/s], waterlevel [m], point [m³/s]\n' % (
str(i), str(min(rainlengths))))
counter = 0
while counter + 1 <= min(rainlengths):
upperformula = 0
lowerformula = 0
for j in range(len(self.data)):
distance = raingaugelocations[j].distance(generationlocations[i])
upperformula = upperformula + ((1 / (distance ** n)) * float(self.data[j][1][counter]))
lowerformula = lowerformula + (1 / (distance ** n))
rainvalue = round((upperformula / lowerformula), 3)
SpatialInterpolation.write(
'%s %s #%s mm/h\n' % (str(counter), str(rainvalue), str(rainvalue)))
###############################################
# time viewer layer
if self.dialog.TimeVieweLayerBox.isChecked():
fields = timeviewerlayer.dataProvider().fields()
datetimefieldid = fields.indexFromName("date_time")
rainvaluefieldid = fields.indexFromName("Boundary Value")
idfieldid = fields.indexFromName("ID")
featureids = []
for feature in timeviewerlayer.getFeatures():
if float(feature.attributes()[idfieldid]) == float(i):
featureids.append(feature.id())
try:
atts = {
datetimefieldid: float(self.data[rainlengths.index(min(rainlengths))][0][counter]),
rainvaluefieldid: rainvalue}
except:
atts = {datetimefieldid: self.data[rainlengths.index(min(rainlengths))][0][counter],
rainvaluefieldid: rainvalue}
timeviewerlayer.dataProvider().changeAttributeValues({featureids[counter]: atts})
###############################################
if counter + 1 == min(rainlengths):
SpatialInterpolation.write('!END')
SpatialInterpolation.write('\n\n')
counter = counter + 1
######################################################################################################
# Trend Surface Analysis (Polynomial 1st Order)
elif self.dialog.SpatialInterpolationMethodBox.currentText() == "Trend Surface Analysis (Polynomial 1st Order)":
allrainvalues = []
for counter in range(min(rainlengths)):
xs = []
ys = []
zs = []
# putting all x and y and z values in seperate arrays
for r, i in enumerate(raingaugelocations):
xs.append(i.x())
ys.append(i.y())
zs.append(float(self.data[r][1][counter]))
data = np.c_[xs, ys, zs]
# grid covering the domain of the data
# getting the minimum and maximum x and ys of generation area
layer = self.dialog.GenerationAreaLayer.currentLayer()
ex = layer.extent()
xmax = ex.xMaximum()
ymax = ex.yMaximum()
xmin = ex.xMinimum()
ymin = ex.yMinimum()
X, Y = np.meshgrid(np.linspace(xmin, xmax, self.dialog.dxBox.value()),
np.linspace(ymin, ymax, self.dialog.dyBox.value()))
order = 1 # 1: linear, 2: quadratic
if order == 1:
# best-fit linear plane
A = np.c_[data[:, 0], data[:, 1], np.ones(data.shape[0])]
C, _, _, _ = scipy.linalg.lstsq(A, data[:, 2]) # coefficients
# formula
# Z = C[0] * X + C[1] * Y + C[2]
rainvaluesintimestep = []
for i in generationlocations:
value = (C[0] * i.x()) + (C[1] * i.y()) + C[2]
rainvaluesintimestep.append(value)
allrainvalues.append(rainvaluesintimestep)
# writing the file
for i in range(len(generationlocations)):
SpatialInterpolation.write('BEGIN\n')
SpatialInterpolation.write(
'%s %s area #Length [m²/s], Area [m/s], waterlevel [m], point [m³/s]\n' % (
str(i), str(min(rainlengths))))
counter = 0
while counter + 1 <= min(rainlengths):
rainvalue = float(allrainvalues[counter][i])
###############################################
# time viewer layer
if self.dialog.TimeVieweLayerBox.isChecked():
fields = timeviewerlayer.dataProvider().fields()
datetimefieldid = fields.indexFromName("date_time")
rainvaluefieldid = fields.indexFromName("Boundary Value")
idfieldid = fields.indexFromName("ID")
featureids = []
for feature in timeviewerlayer.getFeatures():
if float(feature.attributes()[idfieldid]) == float(i):
featureids.append(feature.id())
try:
atts = {
datetimefieldid: float(self.data[rainlengths.index(min(rainlengths))][0][counter]),
rainvaluefieldid: rainvalue}
except:
atts = {datetimefieldid: self.data[rainlengths.index(min(rainlengths))][0][counter],
rainvaluefieldid: rainvalue}
timeviewerlayer.dataProvider().changeAttributeValues({featureids[counter]: atts})
###############################################
SpatialInterpolation.write(
'%s %s #%s mm/h\n' % (str(counter), str(rainvalue), str(rainvalue)))
if counter + 1 == min(rainlengths):
SpatialInterpolation.write('!END')
SpatialInterpolation.write('\n\n')
counter = counter + 1
######################################################################################
elif self.dialog.SpatialInterpolationMethodBox.currentText() == "Trend Surface Analysis (Polynomial 2nd Order)":
allrainvalues = []
for counter in range(min(rainlengths)):
xs = []
ys = []
zs = []
# putting all x and y and z values in seperate arrays
for r, i in enumerate(raingaugelocations):
xs.append(i.x())
ys.append(i.y())
zs.append(float(self.data[r][1][counter]))
data = np.c_[xs, ys, zs]
# grid covering the domain of the data
# getting the minimum and maximum x and ys of generation area
layer = self.dialog.GenerationAreaLayer.currentLayer()
ex = layer.extent()
xmax = ex.xMaximum()
ymax = ex.yMaximum()
xmin = ex.xMinimum()
ymin = ex.yMinimum()
X, Y = np.meshgrid(np.linspace(xmin, xmax, self.dialog.dxBox.value()),
np.linspace(ymin, ymax, self.dialog.dyBox.value()))
order = 2 # 2: quadratic
if order == 2:
# best-fit quadratic curve
A = np.c_[np.ones(data.shape[0]), data[:, :2], np.prod(data[:, :2], axis=1), data[:, :2] ** 2]
C, _, _, _ = scipy.linalg.lstsq(A, data[:, 2])
# formula
# Z = C[4]*X**2. + C[5]*Y**2. + C[3]*X*Y + C[1]*X + C[2]*Y + C[0]
rainvaluesintimestep = []
for i in generationlocations:
value = C[4] * i.x() ** 2. + C[5] * i.y() ** 2. + C[3] * i.x() * i.y() + C[1] * i.x() + C[
2] * i.y() + C[0]
rainvaluesintimestep.append(value)
allrainvalues.append(rainvaluesintimestep)
# writing the file
for i in range(len(generationlocations)):
SpatialInterpolation.write('BEGIN\n')
SpatialInterpolation.write(
'%s %s area #Length [m²/s], Area [m/s], waterlevel [m], point [m³/s]\n' % (
str(i), str(min(rainlengths))))
counter = 0
while counter + 1 <= min(rainlengths):
rainvalue = float(allrainvalues[counter][i])
###############################################
# time viewer layer
if self.dialog.TimeVieweLayerBox.isChecked():
fields = timeviewerlayer.dataProvider().fields()
datetimefieldid = fields.indexFromName("date_time")
rainvaluefieldid = fields.indexFromName("Boundary Value")
idfieldid = fields.indexFromName("ID")
featureids = []
for feature in timeviewerlayer.getFeatures():
if float(feature.attributes()[idfieldid]) == float(i):
featureids.append(feature.id())
try:
atts = {
datetimefieldid: float(self.data[rainlengths.index(min(rainlengths))][0][counter]),
rainvaluefieldid: rainvalue}
except:
atts = {datetimefieldid: self.data[rainlengths.index(min(rainlengths))][0][counter],
rainvaluefieldid: rainvalue}
timeviewerlayer.dataProvider().changeAttributeValues({featureids[counter]: atts})
###############################################
SpatialInterpolation.write(
'%s %s #%s mm/h\n' % (str(counter), str(rainvalue), str(rainvalue)))
if counter + 1 == min(rainlengths):
SpatialInterpolation.write('!END')
SpatialInterpolation.write('\n\n')
counter = counter + 1
##########################################################
# time viewer layer
if self.dialog.TimeVieweLayerBox.isChecked():
timeviewerlayer.updateFields()
QgsProject.instance().addMapLayer(timeviewerlayer)
##########################################################
if self.dialog.SaveSpatialInterpolationBox.isChecked():
self.dialog.StatusIndicator.setText("Writing Spatial Interpolation Output...")
QTimer.singleShot(50, self.SpatialInterpolationforPromaides)
self.dialog.StatusIndicator.setText("Analyzing Storm Statistics...")
QTimer.singleShot(50, self.StormAnalysis)
################################################################################################
def SpatialInterpolationforPromaides(self): # if save interpolation time series is checked
filepath = os.path.join(self.dialog.folderEdit_dataanalysis.text(), "RainfallSpatialInterpolation" + '.txt')
try: # deletes previous files
if os.path.isfile(filepath):
os.remove(filepath)
except:
pass
with open(filepath, 'a') as generateddata:
generateddata.write('# comment\n')
generateddata.write('# !BEGIN\n')
generateddata.write('# number begining from 0 ++ number of points\n')
generateddata.write('# hour [h] discharge [m³/s]\n')
generateddata.write('# !END\n\n\n')
raingaugelocations = []
generationlocations = []
# getting the locations of raingauges
point_layer = self.dialog.RainGaugeLayer.currentLayer()
features = point_layer.getFeatures()
for feature in features:
buff = feature.geometry()
raingaugelocations.append(buff.asPoint())
# getting the generation locations
area_layer = self.layer2
features = area_layer.getFeatures()
for feature in features:
buff = feature.geometry()
generationlocations.append(buff.centroid().asPoint())
# calculate generation duration
rainlengths = []
for j in range(len(self.data)):
rainlengths.append(len(self.data[j][0]))
#################################################################################################
# Inversed Distance Weighting
if self.dialog.SpatialInterpolationMethodBox.currentText() == "Inversed Distance Weighting":
# writing the file
for i in range(len(generationlocations)):
generateddata.write('!BEGIN #%s\n' % "raingaugename")
generateddata.write(
'%s %s area #Length [m²/s], Area [m/s], waterlevel [m], point [m³/s]\n' % (
str(i), str(min(rainlengths) * 2)))
counter = 0
n = self.dialog.ExponentFactorBox.value() # exponent factor for the invert distance weighting formula
while counter + 1 <= min(rainlengths):
upperformula = 0
lowerformula = 0
for j in range(len(self.data)):
distance = raingaugelocations[j].distance(generationlocations[i])
upperformula = upperformula + ((1 / (distance ** n)) * float(self.data[j][1][counter]))
lowerformula = lowerformula + (1 / (distance ** n))
rainvalue = round((upperformula / lowerformula), 3)
generateddata.write(
'%s %s #%s mm/h\n' % (str(counter), str(rainvalue / 3600000), str(rainvalue)))
generateddata.write(
'%s.99 %s #%s mm/h\n' % (str(counter), str(rainvalue / 3600000), str(rainvalue)))
if counter + 1 == min(rainlengths):
generateddata.write('!END')
generateddata.write('\n\n')
counter = counter + 1
######################################################################################################
# Trend Surface Analysis (Polynomial 1st Order)
elif self.dialog.SpatialInterpolationMethodBox.currentText() == "Trend Surface Analysis (Polynomial 1st Order)":
allrainvalues = []
for counter in range(min(rainlengths)):
xs = []
ys = []
zs = []
# putting all x and y and z values in seperate arrays
for r, i in enumerate(raingaugelocations):
xs.append(i.x())
ys.append(i.y())
zs.append(float(self.data[r][1][counter]))
data = np.c_[xs, ys, zs]
# grid covering the domain of the data
# getting the minimum and maximum x and ys of generation area
layer = self.dialog.GenerationAreaLayer.currentLayer()
ex = layer.extent()
xmax = ex.xMaximum()
ymax = ex.yMaximum()
xmin = ex.xMinimum()
ymin = ex.yMinimum()
X, Y = np.meshgrid(np.linspace(xmin, xmax, self.dialog.dxBox.value()),
np.linspace(ymin, ymax, self.dialog.dyBox.value()))
order = 1 # 1: linear, 2: quadratic
if order == 1:
# best-fit linear plane
A = np.c_[data[:, 0], data[:, 1], np.ones(data.shape[0])]
C, _, _, _ = scipy.linalg.lstsq(A, data[:, 2]) # coefficients
# formula
# Z = C[0] * X + C[1] * Y + C[2]
rainvaluesintimestep = []
for i in generationlocations:
value = (C[0] * i.x()) + (C[1] * i.y()) + C[2]
rainvaluesintimestep.append(value)
allrainvalues.append(rainvaluesintimestep)
# writing the file
for i in range(len(generationlocations)):
generateddata.write('!BEGIN #%s\n' % "raingaugename")
generateddata.write(
'%s %s area #Length [m²/s], Area [m/s], waterlevel [m], point [m³/s]\n' % (
str(i), str(min(rainlengths) * 2)))
counter = 0
while counter + 1 <= min(rainlengths):
rainvalue = float(allrainvalues[counter][i])
generateddata.write(
'%s %s #%s mm/h\n' % (str(counter), str(rainvalue / 3600000), str(rainvalue)))
generateddata.write(
'%s.99 %s #%s mm/h\n' % (str(counter), str(rainvalue / 3600000), str(rainvalue)))
if counter + 1 == min(rainlengths):
generateddata.write('!END')
generateddata.write('\n\n')
counter = counter + 1
######################################################################################
elif self.dialog.SpatialInterpolationMethodBox.currentText() == "Trend Surface Analysis (Polynomial 2nd Order)":
allrainvalues = []
for counter in range(min(rainlengths)):
xs = []
ys = []
zs = []
# putting all x and y and z values in seperate arrays
for r, i in enumerate(raingaugelocations):
xs.append(i.x())
ys.append(i.y())
zs.append(float(self.data[r][1][counter]))
data = np.c_[xs, ys, zs]
# grid covering the domain of the data
# getting the minimum and maximum x and ys of generation area
layer = self.dialog.GenerationAreaLayer.currentLayer()
ex = layer.extent()
xmax = ex.xMaximum()
ymax = ex.yMaximum()
xmin = ex.xMinimum()
ymin = ex.yMinimum()
X, Y = np.meshgrid(np.linspace(xmin, xmax, self.dialog.dxBox.value()),
np.linspace(ymin, ymax, self.dialog.dyBox.value()))
order = 2 # 2: quadratic
if order == 2:
# best-fit quadratic curve
A = np.c_[
np.ones(data.shape[0]), data[:, :2], np.prod(data[:, :2], axis=1), data[:, :2] ** 2]
C, _, _, _ = scipy.linalg.lstsq(A, data[:, 2])
# formula
# Z = C[4]*X**2. + C[5]*Y**2. + C[3]*X*Y + C[1]*X + C[2]*Y + C[0]
rainvaluesintimestep = []
for i in generationlocations:
value = C[4] * i.x() ** 2. + C[5] * i.y() ** 2. + C[3] * i.x() * i.y() + C[1] * i.x() + C[
2] * i.y() + C[0]
rainvaluesintimestep.append(value)
allrainvalues.append(rainvaluesintimestep)
# writing the file
for i in range(len(generationlocations)):
generateddata.write('!BEGIN #%s\n' % "raingaugename")
generateddata.write(
'%s %s area #Length [m²/s], Area [m/s], waterlevel [m], point [m³/s]\n' % (
str(i), str(min(rainlengths) * 2)))