diff --git a/generate_heatmaps.py b/generate_heatmaps.py
index 53a15df..888d794 100644
--- a/generate_heatmaps.py
+++ b/generate_heatmaps.py
@@ -53,7 +53,9 @@ def parse_yaml(yaml_name):
 def process(yaml_name):
     params = parse_yaml(yaml_name)
     beach = params['BEACH']
-    base_name = os.path.splitext(os.path.basename(params['INPUT LAS']))[0]
+    #base_name = os.path.splitext(os.path.basename(params['INPUT LAS']))[0]
+    base_name='%s_%s' % (beach.lower().replace(" ","_"), params['SURVEY DATE'])
+
 
     # Make all input and output paths absolute
     mxd_name = os.path.abspath(params['MAP DOCUMENT'])
diff --git a/las_manipulation.py b/las_manipulation.py
index 7f3adbf..8b75b74 100644
--- a/las_manipulation.py
+++ b/las_manipulation.py
@@ -351,8 +351,9 @@ def polygon_wave_runup(xyz_1m, direction, shp_name, set_check_value, distance_ch
     #print('making the crop polygon')
 
     # Simplify polygon to remove invalid geometry
-    geom = Polygon(for_shape).simplify(10)
-
+    #geom = Polygon(for_shape).simplify(10)
+    geom = Polygon(for_shape)
+    
     # Export polygon as shapefile
     df = gpd.GeoDataFrame(geometry=[geom])
     df.crs = {'init': 'epsg:283{}'.format(zone), 'no_defs': True}
@@ -383,9 +384,12 @@ def process(yaml_file):
     las_dir  = params['LAS CLASSIFIED FOLDER']
     shp_dir  = params['SHP SWASH FOLDER']
     tmp_dir = params['TMP FOLDER']
+    survey_date=params['SURVEY DATE']
+    beach=params['BEACH']
 
     # Get base name of input las
-    las_basename = os.path.splitext(os.path.basename(input_las))[0]
+    #las_basename = os.path.splitext(os.path.basename(input_las))[0]
+    las_basename='%s_%s' % (beach.lower().replace(" ","_"), survey_date)
 
     # # Crop to beach boundary
     print('Clipping...')
diff --git a/las_outputs.py b/las_outputs.py
index 2d97500..120db6a 100644
--- a/las_outputs.py
+++ b/las_outputs.py
@@ -81,7 +81,7 @@ def plot_profiles(profile_name, csv_output_dir, graph_loc, ch_limits, delta_vol,
     ch_min = ch_limits.loc[profile_name, 'Landward Limit']
 
     # Set figure dimensions based on beach size
-    vertical_exag = 8
+    vertical_exag = 5
     m_per_inch = 8
     try:
         fig_h = profiles.dropna().values.max() / m_per_inch * vertical_exag
@@ -96,6 +96,7 @@ def plot_profiles(profile_name, csv_output_dir, graph_loc, ch_limits, delta_vol,
     else:
         fig, ax = plt.subplots(figsize=(10, 5))
 
+
     for col in profiles.columns:
         profile = profiles.loc[:, col]
         date_str = col.split('_')[-1]
@@ -110,6 +111,11 @@ def plot_profiles(profile_name, csv_output_dir, graph_loc, ch_limits, delta_vol,
     ax.set_xlabel('Chainage (m)', labelpad=10)
     ax.set_ylabel('Elevation (m AHD)', labelpad=10)
 
+    Ylim=ax.get_ylim()[1]
+
+    if Ylim<10:
+        ax.set_ylim([ax.get_ylim()[0], 10])
+		
     # Show most recent volume change
     if delta_vol is not None:
         ax.annotate('Most recent\nvolume change:\n{:+0.1f} m$^3$/m'.format(delta_vol),
@@ -215,7 +221,9 @@ def process(yaml_file):
     tmp_dir = params['TMP FOLDER']
 
     # Get base name of input las
-    las_basename = os.path.splitext(os.path.basename(original_las))[0]
+    #las_basename = os.path.splitext(os.path.basename(original_las))[0]
+
+    las_basename='%s_%s' % (beach.lower().replace(" ","_"), survey_date)
 
     # Get name of input point cloud
     input_las = os.path.join(classified_las_dir, las_basename + '.las')
@@ -249,6 +257,11 @@ def process(yaml_file):
     tif_name = os.path.join(output_tif_dir, las_basename + '.tif')
     call_lastools('las2dem', input=las_data, output=tif_name,
                   args=['-step', 1, '-keep_class', 2], verbose=False)
+    # IF THIS STEP ISN'T WORKING:
+        # might mean there are no data lines
+        # trying running with args=['-step', 1, '-keep_class', 2, '-rescale', 0.001,0.001,0.001]
+        #call_lastools('las2dem', input=las_data, output=tif_name,
+        #          args=['-step', 1, '-keep_class', 2, '-rescale', 0.001,0.001,0.001], verbose=False)
 
     # Extract elevations along profiles from triangulated surface
     print('Extracting profile elevations...')
diff --git a/param-files/survey-1.xlsx b/param-files/survey-1.xlsx
index bb289df..b43b56a 100644
Binary files a/param-files/survey-1.xlsx and b/param-files/survey-1.xlsx differ
diff --git a/plot_heatmaps.py b/plot_heatmaps.py
index 4b0ddcb..103e6de 100644
--- a/plot_heatmaps.py
+++ b/plot_heatmaps.py
@@ -53,7 +53,8 @@ def parse_yaml(yaml_name):
 def process(yaml_name):
     params = parse_yaml(yaml_name)
     beach = params['BEACH']
-    base_name = os.path.splitext(os.path.basename(params['INPUT LAS']))[0]
+    #base_name = os.path.splitext(os.path.basename(params['INPUT LAS']))[0]
+    base_name='%s_%s' % (beach.lower().replace(" ","_"), params['SURVEY DATE'])
 
     # Make all input and output paths absolute
     mxd_name = os.path.abspath(params['MAP DOCUMENT'])