title: Rotorua Geothermal Field - Management, Monitoring and Surface Features [Field Trip FT3]

authors: Cody, Ashley D.

abstract: We will depart Hamilton at 8 am and drive to Rotorua via Highways 1 and 5 across the Mamaku Plateau. We will met up with the trip leader, Ashley Cody at Kuirau Park at approximately 9.30 am. People should have old footwear and be prepared to walk thru damp or mud covered/dusty ground. We will walk around Kuirau Park; visiting in particular the 26/01/01 eruption site and out to Tarewa Road house sites impacted by resumed hot spring activity. Returning to the park area we will see instances of well casing failure, tree die-off, and ground subsidence problems in this part of the geothermal field.
We will then drive to the New Zealand Maori Arts and Crafts Institute, via the Hospital production and reinjection monitor wells. We will have lunch here where toilets are available, and it is an opportunity for field trip participants to wander around the institute viewing carvers and exploring the model Maori village.
After lunch we will walk to Geyser Flat in Whakarewarewa, then onto Waikite Geyser where hopefully we will see Pareia playing. Here we can examine in detail features of active hot spring systems and climb into an extinct geyser. From Whakarewarewa we will travel a short distance to the Forest Research Institute then onto the Rotoa- Tamaheke hot lake and springs. Time permitting we may be able to visit other features in this area. We are due back in Hamilton around 5.30 pm, requiring a departure from Rotorua at approximately 4 pm.

text: Rotorua Geothermal Field - Management, Monitoring and Surface Features [Field Trip FT3] We will depart Hamilton at 8 am and drive to Rotorua via Highways 1 and 5 across the Mamaku Plateau. We will met up with the trip leader, Ashley Cody at Kuirau Park at approximately 9.30 am. People should have old footwear and be prepared to walk thru damp or mud covered/dusty ground. We will walk around Kuirau Park; visiting in particular the 26/01/01 eruption site and out to Tarewa Road house sites impacted by resumed hot spring activity. Returning to the park area we will see instances of well casing failure, tree die-off, and ground subsidence problems in this part of the geothermal field.
We will then drive to the New Zealand Maori Arts and Crafts Institute, via the Hospital production and reinjection monitor wells. We will have lunch here where toilets are available, and it is an opportunity for field trip participants to wander around the institute viewing carvers and exploring the model Maori village.
After lunch we will walk to Geyser Flat in Whakarewarewa, then onto Waikite Geyser where hopefully we will see Pareia playing. Here we can examine in detail features of active hot spring systems and climb into an extinct geyser. From Whakarewarewa we will travel a short distance to the Forest Research Institute then onto the Rotoa- Tamaheke hot lake and springs. Time permitting we may be able to visit other features in this area. We are due back in Hamilton around 5.30 pm, requiring a departure from Rotorua at approximately 4 pm.

year: 2001

title: Flood risk and property value: A case study analysing the effect of disclosed flood risk maps on the housing market in Hamilton, New Zealand

authors: Li, Chao

abstract: Flooding is among the most financially devastating natural disasters globally and in New Zealand. To manage flood risk, educating the public about its potential dangers is widely recognised as a necessity worldwide. However, in New Zealand, building development and property sales continue to thrive in officially designated flood risk areas, suggesting that published flood risk information may not be achieving its intended impact. This raises alarming concerns about whether the public effectively receives published flood risk information and to what extent it influences their decision making. However, empirical research on this topic is scarce in New Zealand, and the few existing studies only cover small portions of a case study area, lacking broader geographical representation and transferrable insights into long-term behavioural responses to flood risk information. This leaves local governments without reliable evidence to assess the effectiveness of flood risk disclosures and informed land-use decisions. One of the key reasons is the lack of nationally consistent flood risk mapping and the fragmented flood risk management approach across localities and regions, making flood risk information scattered, inconsistent, and difficult to access.
This research aims to address this gap by conducting a comprehensive empirical analysis in Hamilton City, New Zealand. Specifically, I focus on the holistic timeline of flood risk information released within the city since the first flood map was officially adopted in 2012. Specifically, Hamilton City Council (HCC) released flood risk maps and adopted them in the 2012 District Plan, followed by the introduction of online Floodviewer maps in 2020. Publishing flood risk information through two different platforms covering various urban spaces makes this a unique case study for examining the effects of flood risk on property prices. This research combines rigorous causal inference methods, including Difference-in-Differences (DID), Repeat-Sales models, and Hedonic modelling, to examine whether the release of flood risk information influences property sales in officially designated flood zones. The Results show that flood risk information has a limited impact on property prices in Hamilton City’s flood risk areas. However, in repeat sales analysis, disclosing flood risk information positively impacts housing value in these areas. These findings align with most historical research in New Zealand, indicating that it is not rare for people to disregard flood risk information in this country. This may be attributed to the absence of a unified national standard for published flood risk information and the lack of effective communication mechanisms.

text: Flood risk and property value: A case study analysing the effect of disclosed flood risk maps on the housing market in Hamilton, New Zealand Flooding is among the most financially devastating natural disasters globally and in New Zealand. To manage flood risk, educating the public about its potential dangers is widely recognised as a necessity worldwide. However, in New Zealand, building development and property sales continue to thrive in officially designated flood risk areas, suggesting that published flood risk information may not be achieving its intended impact. This raises alarming concerns about whether the public effectively receives published flood risk information and to what extent it influences their decision making. However, empirical research on this topic is scarce in New Zealand, and the few existing studies only cover small portions of a case study area, lacking broader geographical representation and transferrable insights into long-term behavioural responses to flood risk information. This leaves local governments without reliable evidence to assess the effectiveness of flood risk disclosures and informed land-use decisions. One of the key reasons is the lack of nationally consistent flood risk mapping and the fragmented flood risk management approach across localities and regions, making flood risk information scattered, inconsistent, and difficult to access.
This research aims to address this gap by conducting a comprehensive empirical analysis in Hamilton City, New Zealand. Specifically, I focus on the holistic timeline of flood risk information released within the city since the first flood map was officially adopted in 2012. Specifically, Hamilton City Council (HCC) released flood risk maps and adopted them in the 2012 District Plan, followed by the introduction of online Floodviewer maps in 2020. Publishing flood risk information through two different platforms covering various urban spaces makes this a unique case study for examining the effects of flood risk on property prices. This research combines rigorous causal inference methods, including Difference-in-Differences (DID), Repeat-Sales models, and Hedonic modelling, to examine whether the release of flood risk information influences property sales in officially designated flood zones. The Results show that flood risk information has a limited impact on property prices in Hamilton City’s flood risk areas. However, in repeat sales analysis, disclosing flood risk information positively impacts housing value in these areas. These findings align with most historical research in New Zealand, indicating that it is not rare for people to disregard flood risk information in this country. This may be attributed to the absence of a unified national standard for published flood risk information and the lack of effective communication mechanisms.

year: 2025

title: Hei Āwhina Mātua: A kaupapa Māori response to behaviour

authors: Berryman, Mere

abstract: Hei Āwhina Mātua (strengthening parents and other adults), a kaupapa Māori research and development project, sought to capitalise on the strengths available within both whānau and teachers so that both groups could take joint responsibility for students' learning and behaviour. This required professionals trained in delivering learning and behavioural programmes for individual students working in culturally responsive and collaborative ways with adults, whānau, teachers and community members, This chapter returns to this study to reconsider the key findings.

text: Hei Āwhina Mātua: A kaupapa Māori response to behaviour Hei Āwhina Mātua (strengthening parents and other adults), a kaupapa Māori research and development project, sought to capitalise on the strengths available within both whānau and teachers so that both groups could take joint responsibility for students' learning and behaviour. This required professionals trained in delivering learning and behavioural programmes for individual students working in culturally responsive and collaborative ways with adults, whānau, teachers and community members, This chapter returns to this study to reconsider the key findings.

year: 2015