page Month May June July August September October November December January February March April April Days in Month 31 30 31 31 30 31 30 31 31 28 31 30 30 Pad area m 2 Runoff m 3 Uruti Virtual Climate Station Evaporation mm Average 31.12 21.41 25.43 39.04 57.48 85.05 109.32 126.01 134.46 107.97 88.65 52.65 52.65 878.60 Rainfall Pad 1 7,765 1 7765 0.25 1.94 Kaka Road Climate Station Rainfall mm Average 205.40 194.90 199.20 196.50
3.1 Water balance method.............................................................................................9 3.2 Site Selection.........................................................................................................10 3.2.1 Rainfall and potential evapotranspiration .................................................10 3.2.2 Soil Types.................................................................................................. 11 3.3 Irrigation
daily average results fell into the Ministry's 'excellent' or 'good' categories and 41% of the results met the 'acceptable' category. Six daily results from the total 138 of days monitored fell into the ‘alert’ category. It is noted that all of those six results happened during moderate to heavy rainfall events, and in the majority of cases, during fresh onshore winds. These findings confirm those of the previous inhalable particulate surveys that found sea salt spray to be a major PM10 source.
infiltration expenditure during the 2021-2022 monitoring year consisted of: • $3,325 spent on pipeline renewals • $891 spent on CCTV. The expenditure for pipeline renewals was entirely on project management, investigation and design. No construction occurred. A wastewater network modelling project is underway which uses rainfall and flow data to create a calibrated digital model of the entire Inglewood wastewater network. The calibrated model will be used to assess network performance
boundary – bank erosion page i Table of contents Page 1. Purpose 1 2. Introduction 1 3. Background 1 3.1 Ring plain 1 3.2 Elevation 2 3.3 Stability 3 3.4 Rainfall 3 3.5 Run off 4 3.6 Channels 4 4. Legal status and background 6 4.1 Ownership 6 4.2 Control 6 4.3 Land ownership 6 4.4 Catchment authorities 7 4.5 Regional Water Boards 7 4.6 Control of gravel extraction 7 5. Geology 8 6. Watercourses 9 7. Event/effect relationship 10
Operations and Regulatory Agenda Oct 2023
improvements. Rainfall in Taranaki does expedite run-off of E. coli and other contaminants into waterways however, an assessment of earlier ‘dry-weather’ swim spot monitoring data found that 11 out of 16 sites were still failing the minimum standard, indicating direct contamination of waterways is a significant issue. Ordinary Council - Update on changes to NPSFM and policy development programme 256 page b. Sediment – eight of the 22 (36%) monitoring sites fall below the
(the Council) to assess the environmental performance during the period under review, and the results and effects of the consent holder’s activities. The Council’s monitoring programme included three regular inspections, one additional inspection, and two biological receiving water surveys. Three short duration overflows (four to nine days) following prolonged and intensive rainfall events, occurred between mid April and late June 2015. Regular inspections indicated no problems
rainfall sites recorded figures well above their averages for the three winter months. Our site at Patea recorded rainfall figures that were 167% above its average amount for those months, yet it was still the driest of our 27 rainfall monitoring sites around the region. Perhaps you could spare a thought for the people working in the Dawson Falls area, as a staggering 2,723mls of rain fell at that site over the winter period. Congratulations to the 55 schools, 51 early
2018-June 2019) 9 Figure 4 Daily abstraction volumes under consent 7470-1.2 (July 2009-June 2019) 10 Figure 5 Maximum daily abstraction rate under consent 7470-1.2 (July 2009-June 2019) 10 Figure 6 Observed groundwater levels GND2102 and rainfall (July 2018-June 2019) 11 Figure 7 Observed groundwater levels GND2102 and abstraction (July 2018-June 2019) 12 Figure 8 Observed groundwater levels GND2103 and rainfall (July 2018-June 2019) 12 Figure 9 Observed groundwater levels