Revisiting land use classification and spatial aggregation for modelling integrated urban water systems

Bach, Peter M.; Staalesen, Severin Severin; McCarthy, David Thomas; Deletić, Ana

doi:10.1016/j.landurbplan.2015.05.012

Cited by 39 publications

(17 citation statements)

References 35 publications

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“…Meanwhile, an incident (e.g., failure to meet total allowable target on wastewater discharge) may be generated by multiple uncertainties of the IWRM systems. To quantitatively and systematically explore the likelihood of the incident, violation risk analysis should be incorporated 60 , 61 . Previously, risk-based decision-making has been advocated for water resources management 62 – 64 .…”

Section: Introductionmentioning

confidence: 99%

Industrial water resources management based on violation risk analysis of the total allowable target on wastewater discharge

Yue

Cai

et al. 2017

Sci Rep

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To improve the capabilities of conventional methodologies in facilitating industrial water allocation under uncertain conditions, an integrated approach was developed through the combination of operational research, uncertainty analysis, and violation risk analysis methods. The developed approach can (a) address complexities of industrial water resources management (IWRM) systems, (b) facilitate reflections of multiple uncertainties and risks of the system and incorporate them into a general optimization framework, and (c) manage robust actions for industrial productions in consideration of water supply capacity and wastewater discharging control. The developed method was then demonstrated in a water-stressed city (i.e., the City of Dalian), northeastern China. Three scenarios were proposed according to the city’s industrial plans. The results indicated that in the planning year of 2020 (a) the production of civilian-used steel ships and machine-made paper & paperboard would reduce significantly, (b) violation risk of chemical oxygen demand (COD) discharge under scenario 1 would be the most prominent, compared with those under scenarios 2 and 3, (c) the maximal total economic benefit under scenario 2 would be higher than the benefit under scenario 3, and (d) the production of rolling contact bearing, rail vehicles, and commercial vehicles would be promoted.

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Section: Introductionmentioning

confidence: 99%

Industrial water resources management based on violation risk analysis of the total allowable target on wastewater discharge

Yue

Cai

et al. 2017

Sci Rep

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“…Se consideraron cuatro tipos de cobertura urbana: vegetada (árboles y pastizales), no vegetada (suelos descubiertos), impermeable (tejados de edificaciones, pavimentos y senderos peatonales) y cuerpos de agua (ríos, lagos y humedales). En los anteriores análisis se tomaron como guías metodológicas las investigaciones sobre uso del suelo y calidad del aire de Bach et al [25] e Irga et al [26], respectivamente. La identificación y cuantificación de las coberturas se realizó mediante el programa informático Google Earth Pro V. 7.1.5.1557.…”

Section: Análisis De La Cobertura Urbanaunclassified

Análisis de series de tiempo para concentraciones de PM10: influencia de la cobertura superficial urbana

2019

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El incremento de enfermedades respiratorias en áreas urbanas está relacionado con el incremento del material particulado atmosférico. Este artículo presenta un análisis temporal diario mediante modelos ARIMA de la influencia de la cobertura superficial sobre las concentraciones de PM10 en la ciudad de Bogotá, Colombia. La investigación se desarrolló a partir de los registros (años 2007-2012) de seis estaciones automáticas de monitoreo. Los modelos ARIMA evidenciaron una mayor persistencia de PM10 (2 días) en áreas con cobertura vegetada. Sin embargo, las áreas urbanas con cobertura vegetada registraron menores concentraciones diarias de PM10 (-42.7%) en comparación con áreas de cobertura impermeable.

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“…According to Guttenberg (2002) [19], the origin of multidimensional land use classification is related to urban planning that arose in the middle of the twentieth century. This approach of classification provided an opportunity for project-specific classifications [20]. Many category schemes exist, but there is no uniformly used category scheme because each scheme has its purpose and each project has its purpose [21].…”

Section: Introductionmentioning

confidence: 99%

Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data

et al. 2020

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Several factors influence the performance of land change simulation models. One potentially important factor is land category aggregation, which reduces the number of categories while having the potential to reduce also the size of apparent land change in the data. Our article compares how four methods to aggregate Corine Land Cover categories influence the size of land changes in various spatial extents and consequently influence the performance of 114 Cellular Automata-Markov simulation model runs. We calculated the reference change during the calibration interval, the reference change during the validation interval and the simulation change during the validation interval, along with five metrics of simulation performance, Figure of Merit and its four components: Misses, Hits, Wrong Hits and False Alarms. The Corine Standard Level 1 category aggregation reduced change more than any of the other aggregation methods. The model runs that used the Corine Standard Level 1 aggregation method tended to return lower sizes of changing areas and lower values of Misses, Hits, Wrong Hits and False Alarms, where Hits are correctly simulated changes. The behavior-based aggregation method maintained the most change while using fewer categories compared to the other aggregation methods. We recommend an aggregation method that maintains the size of the reference change during the calibration and validation intervals while reducing the number of categories, so the model uses the largest size of change while using fewer than the original number of categories.

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Revisiting land use classification and spatial aggregation for modelling integrated urban water systems

Cited by 39 publications

References 35 publications

Industrial water resources management based on violation risk analysis of the total allowable target on wastewater discharge

Industrial water resources management based on violation risk analysis of the total allowable target on wastewater discharge

Análisis de series de tiempo para concentraciones de PM10: influencia de la cobertura superficial urbana

Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data

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