2021
DOI: 10.1016/j.earscirev.2021.103603
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An overview of monitoring methods for assessing the performance of nature-based solutions against natural hazards

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Cited by 104 publications
(79 citation statements)
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“…In particular, spaceborne sensing can be utilised to monitor the area of NBS intervention(s) for a continuous period, starting before the NBS implementation, in order to assess the state modifications of the area over time [15]. Except for detecting the modifications on urban form, EO has the potential to capture the impact of NBS on the hydro-meteorological conditions of urban areas [22]. For instance, specific alternations of urban energy balance (UEB) can be monitored for verifying specific microclimatic targets related to overheating mitigation, especially in case of heat waves, as these alternations can lead to multiple benefits, such as improving the outdoor thermal comfort of citizens [23].…”
Section: Introductionmentioning
confidence: 99%
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“…In particular, spaceborne sensing can be utilised to monitor the area of NBS intervention(s) for a continuous period, starting before the NBS implementation, in order to assess the state modifications of the area over time [15]. Except for detecting the modifications on urban form, EO has the potential to capture the impact of NBS on the hydro-meteorological conditions of urban areas [22]. For instance, specific alternations of urban energy balance (UEB) can be monitored for verifying specific microclimatic targets related to overheating mitigation, especially in case of heat waves, as these alternations can lead to multiple benefits, such as improving the outdoor thermal comfort of citizens [23].…”
Section: Introductionmentioning
confidence: 99%
“…Monitoring and evaluation approaches can provide tangible results about NBS efficiency and consequential multiple/multiscale benefits, hence promoting their transferability and wide application [11,22]. Depending on the considered monitoring and evaluation spatial scale, suitable EO approaches for capturing NBS impacts differ significantly, but overall, the underlying information needs to be captured on a finer scale than that of monitoring and evaluation.…”
Section: Introductionmentioning
confidence: 99%
“…The implications of these results could have a relevant impact on the natural hazards mitigation policies. This is also evident in recent works about the monitoring and modeling of NBSs [84,85]. OAL and NBS concepts could provide future standards for these policies, delivering easy-to-handle information to decision-makers and stakeholders.…”
Section: Discussionmentioning
confidence: 80%
“…This can encourage citizens' involvement and create trust among stakeholders during the NBS implementation phase and beyond ( Kabisch et al, 2017a ; Kumar et al, 2020 ). However, NBS assessment is complex and involves a combination of an eclectic array of quantitative and qualitative variables, some of which are hard to measure by monitoring (e.g., Kumar et al, 2021 ) or subjected to high degrees of uncertainty. Consequently, the use of models can help to deal with such complexity by allowing testing multiple and future socio-ecological scenarios along the projects' life cycle, providing fresh intelligence, facilitating the communication process between stakeholders and thus informing the decision-making process ( Gonzalez-Ollauri et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…Numerous review articles have covered several approaches for the assessment of HMH and their management strategies. A majority of these articles focused on the monitoring methods for NBS assessment ( Kumar et al, 2021 ), HMRs mapping and damage assessment ( Teng et al, 2017 ; Khan et al, 2020 ; Sahani et al, 2019 ), life cycle appraisals including the economic valuation of ecosystem services ( Newman et al, 2017 ; Eckhardt et al, 2019 ; Ovando and Brouwer, 2019 ; Nguyen et al, 2020 ), assessment frameworks for NBS ( Dumitru et al, 2020 ; Shah et al, 2020 ), upscaling and replication of NBS ( Saleh and Weinstein, 2016 ), and real-time forecasting of HMHs and/or HMRs. Zhang and Chui (2019) reviewed and presented models to evaluate the performance of green infrastructure in reducing runoff.…”
Section: Introductionmentioning
confidence: 99%