Fabiola S. Sosa-Rodríguez, D. J. Chaparro-Herrera, J. Vazquez-Arenas, A. N. Arias, A. F. Alva-Martínez
The freshwater systems located within the Metropolitan Area of Mexico City (Mexico City and the State of Mexico) are depleted. La Piedad Lagoon is recognized as a critical water resource as it serves as a run-off reservoir during the rainy season. However, the Lagoon is highly contaminated by untreated wastewater discharge due to disorderly and unplanned urban development. Inadequate sanitation has caused significant biodiversity loss and negatively impacted the population's health. Climate change models estimate that surface water availability could be reduced by over 30% in the short term, increasing the risk of a regional water crisis. This complex situation is urgent and demands the ecological restoration of La Piedad Lagoon as it provides an alternative source of water for Mexico City. Here, the intervention and efforts currently performed to rescue La Piedad Lagoon are described, involving its transformation and analysis of the environmental conditions of the area, land uses and ownership, as well as available infrastructure. Finally, it examines key environmental parameters for the construction of wetlands in the Lagoon. The removal contamination capacities of Eichhornia crassipes and Lemna minor, two aquatic plants in the area, were assessed. The lessons learned from this intervention can provide valuable lessons.
位于墨西哥城大都市区（墨西哥城和墨西哥州）内的淡水系统已经枯竭。拉皮达德泻湖是公认的重要水资源，因为它是雨季的径流水库。然而，由于无序和无规划的城市发展，泻湖受到未经处理的废水排放的严重污染。卫生设施不足导致生物多样性严重丧失，并对居民健康造成负面影响。据气候变化模型估计，短期内地表水供应量可能会减少 30%以上，从而增加了地区水危机的风险。由于拉皮达泻湖为墨西哥城提供了另一种水源，这种复杂的情况迫在眉睫，需要对其进行生态修复。本报告介绍了目前为拯救拉皮达德泻湖所采取的干预措施和所做的努力，包括对该地区的改造和环境条件、土地用途和所有权以及可用基础设施的分析。最后，研究了在泻湖建造湿地的关键环境参数。评估了该地区两种水生植物 Eichhornia crassipes 和 Lemna minor 的去除污染能力。从这一干预措施中汲取的经验教训可以提供宝贵的借鉴。
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Fabiola S. Sosa-Rodríguez, D. J. Chaparro-Herrera, J. Vazquez-Arenas, A. N. Arias, A. F. Alva-Martínez
The freshwater systems located within the Metropolitan Area of Mexico City (Mexico City and the State of Mexico) are depleted. La Piedad Lagoon is recognized as a critical water resource as it serves as a run-off reservoir during the rainy season. However, the Lagoon is highly contaminated by untreated wastewater discharge due to disorderly and unplanned urban development. Inadequate sanitation has caused significant biodiversity loss and negatively impacted the population's health. Climate change models estimate that surface water availability could be reduced by over 30% in the short term, increasing the risk of a regional water crisis. This complex situation is urgent and demands the ecological restoration of La Piedad Lagoon as it provides an alternative source of water for Mexico City. Here, the intervention and efforts currently performed to rescue La Piedad Lagoon are described, involving its transformation and analysis of the environmental conditions of the area, land uses and ownership, as well as available infrastructure. Finally, it examines key environmental parameters for the construction of wetlands in the Lagoon. The removal contamination capacities of Eichhornia crassipes and Lemna minor, two aquatic plants in the area, were assessed. The lessons learned from this intervention can provide valuable lessons.
位于墨西哥城大都市区（墨西哥城和墨西哥州）内的淡水系统已经枯竭。拉皮达德泻湖是公认的重要水资源，因为它是雨季的径流水库。然而，由于无序和无规划的城市发展，泻湖受到未经处理的废水排放的严重污染。卫生设施不足导致生物多样性严重丧失，并对居民健康造成负面影响。据气候变化模型估计，短期内地表水供应量可能会减少 30%以上，从而增加了地区水危机的风险。由于拉皮达泻湖为墨西哥城提供了另一种水源，这种复杂的情况迫在眉睫，需要对其进行生态修复。本报告介绍了目前为拯救拉皮达德泻湖所采取的干预措施和所做的努力，包括对该地区的改造和环境条件、土地用途和所有权以及可用基础设施的分析。最后，研究了在泻湖建造湿地的关键环境参数。评估了该地区两种水生植物 Eichhornia crassipes 和 Lemna minor 的去除污染能力。从这一干预措施中汲取的经验教训可以提供宝贵的借鉴。
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Increased urbanization and climate change globally have exacerbated an increase in the frequency of extreme weather, especially rainstorms and flooding. Low impact development (LID) has been adopted for several decades to reduce urban pluvial flooding and cope with urban climate change. However, LID has not been widely used due to the lack of sustainable funding. In this article, a discrete choice experiment method was used to understand public preferences and willingness to pay (WTP) for the functions of LID facilities. Four attributes were selected, and after that, 958 and 646 valid questionnaires were collected in the pilot sponge cities of Zhengzhou and Hebi, respectively. The results showed that respondents showed a significant WTP for LID facilities, with a desire to support rainwater drainage, recreation and entertainment, and the landscape environment. Experience of flooding had a significant effect on Zhengzhou respondents, but not on Hebi respondents. We have concluded that rainwater drainage should still be considered the most important function of LID facilities. At the same time, educational level and flood experiences may not affect the public's WTP. This article can provide a reference for cities that would like to implement LID and create a stormwater fee system to adapt to global change.
全球范围内城市化的加剧和气候变化加剧了极端天气，尤其是暴雨和洪水频率的增加。几十年来，人们一直采用低影响开发（LID）来减少城市冲积洪水，应对城市气候变化。然而，由于缺乏可持续的资金，低影响开发并未得到广泛应用。本文采用离散选择实验法来了解公众对 LID 设施功能的偏好和支付意愿（WTP）。实验选取了四个属性，然后在试点海绵城市郑州和鹤壁分别收集了 958 份和 646 份有效问卷。结果显示，受访者对 LID 设施表现出明显的 WTP，希望支持雨水排放、休闲娱乐和景观环境。洪涝灾害的经历对郑州受访者有显著影响，但对鹤壁受访者没有影响。我们的结论是，雨水排放仍应被视为 LID 设施最重要的功能。同时，教育水平和洪水经历可能不会影响公众的 WTP。本文可为希望实施 LID 并建立雨水收费系统以适应全球变化的城市提供参考。
{"title":"Public preferences and willingness to pay for low impact development: a comparative case study of pilot sponge cities in China","authors":"Meng Zhang, Jingyi Zhang, Liuyang Yao, Xiu-Juan Qiao","doi":"10.2166/bgs.2023.035","DOIUrl":"https://doi.org/10.2166/bgs.2023.035","url":null,"abstract":"Increased urbanization and climate change globally have exacerbated an increase in the frequency of extreme weather, especially rainstorms and flooding. Low impact development (LID) has been adopted for several decades to reduce urban pluvial flooding and cope with urban climate change. However, LID has not been widely used due to the lack of sustainable funding. In this article, a discrete choice experiment method was used to understand public preferences and willingness to pay (WTP) for the functions of LID facilities. Four attributes were selected, and after that, 958 and 646 valid questionnaires were collected in the pilot sponge cities of Zhengzhou and Hebi, respectively. The results showed that respondents showed a significant WTP for LID facilities, with a desire to support rainwater drainage, recreation and entertainment, and the landscape environment. Experience of flooding had a significant effect on Zhengzhou respondents, but not on Hebi respondents. We have concluded that rainwater drainage should still be considered the most important function of LID facilities. At the same time, educational level and flood experiences may not affect the public's WTP. This article can provide a reference for cities that would like to implement LID and create a stormwater fee system to adapt to global change.","PeriodicalId":502858,"journal":{"name":"Blue-Green Systems","volume":"337 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139241264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Beatriz Emma Gutierrez Caloir, Y. Abebe, Z. Vojinovic, Arlex Sanchez, Adam Mubeen, Laddaporn Ruangpan, N. Manojlovic, J. Plavšić, S. Djordjević
The escalating impacts of climate change trigger the necessity to deal with hydro-meteorological hazards. Nature-based solutions (NBSs) seem to be a suitable response, integrating the hydrology, geomorphology, hydraulic, and ecological dynamics. While there are some methods and tools for suitability mapping of small-scale NBSs, literature concerning the spatial allocation of large-scale NBSs is still lacking. The present work aims to develop new toolboxes and enhance an existing methodology by developing spatial analysis tools within a geographic information system (GIS) environment to allocate large-scale NBSs based on a multi-criteria algorithm. The methodologies combine machine learning spatial data processing techniques and hydrodynamic modelling for allocation of large-scale NBSs. The case studies concern selected areas in the Netherlands, Serbia, and Bolivia, focusing on three large-scale NBS: rainwater harvesting, wetland restoration, and natural riverbank stabilisation. Information available from the EC H2020 RECONECT project as well as other available data for the specific study areas was used. The research highlights the significance of incorporating machine learning, GIS, and remote sensing techniques for the suitable allocation of large-scale NBSs. The findings may offer new insights for decision-makers and other stakeholders involved in future sustainable environmental planning and climate change adaptation.
{"title":"Combining machine learning and spatial data processing techniques for allocation of large-scale nature-based solutions","authors":"Beatriz Emma Gutierrez Caloir, Y. Abebe, Z. Vojinovic, Arlex Sanchez, Adam Mubeen, Laddaporn Ruangpan, N. Manojlovic, J. Plavšić, S. Djordjević","doi":"10.2166/bgs.2023.040","DOIUrl":"https://doi.org/10.2166/bgs.2023.040","url":null,"abstract":"The escalating impacts of climate change trigger the necessity to deal with hydro-meteorological hazards. Nature-based solutions (NBSs) seem to be a suitable response, integrating the hydrology, geomorphology, hydraulic, and ecological dynamics. While there are some methods and tools for suitability mapping of small-scale NBSs, literature concerning the spatial allocation of large-scale NBSs is still lacking. The present work aims to develop new toolboxes and enhance an existing methodology by developing spatial analysis tools within a geographic information system (GIS) environment to allocate large-scale NBSs based on a multi-criteria algorithm. The methodologies combine machine learning spatial data processing techniques and hydrodynamic modelling for allocation of large-scale NBSs. The case studies concern selected areas in the Netherlands, Serbia, and Bolivia, focusing on three large-scale NBS: rainwater harvesting, wetland restoration, and natural riverbank stabilisation. Information available from the EC H2020 RECONECT project as well as other available data for the specific study areas was used. The research highlights the significance of incorporating machine learning, GIS, and remote sensing techniques for the suitable allocation of large-scale NBSs. The findings may offer new insights for decision-makers and other stakeholders involved in future sustainable environmental planning and climate change adaptation.","PeriodicalId":502858,"journal":{"name":"Blue-Green Systems","volume":"BME-33 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139271708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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