Urbanization and water management in Ho Chi Minh City, Vietnam-issues, challenges and perspectives

Vo, Phu Le

doi:10.1007/s10708-008-9115-2

Cited by 67 publications

(50 citation statements)

References 16 publications

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“…With the rapid population growth, industrial development, and increased domestic use, most of the countries of the world will face the fresh water shortage 2 of 20 problem by 2025 [4]. Economic and demographic developments in the world in general and in Vietnam, in particular, are causing ever-increasing water demands [5]. Given the increased demand for water for various purposes (e.g., agriculture, industry, and human consumption), most of the groundwater water reservoirs have been over-exploited [6].…”

Section: Introductionmentioning

confidence: 99%

Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

Nguyen¹,

Jaafari

et al. 2020

IJERPH

113

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The main aim of this study is to assess groundwater potential of the DakNong province, Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates Artificial Neural Networks (ANN) with RealAdaBoost (RAB) ensemble technique. For this study, twelve conditioning factors and wells yield data was used to create the training and testing datasets for the development and validation of the ensemble RABANN model. Area Under the Receiver Operating Characteristic (ROC) curve (AUC) and several statistical performance measures were used to validate and compare performance of the ensemble RABANN model with the single ANN model. Results of the model studies showed that both models performed well in the training phase of assessing groundwater potential (AUC ≥ 0.7), whereas the ensemble model (AUC = 0.776) outperformed the single ANN model (AUC = 0.699) in the validation phase. This demonstrated that the RAB ensemble technique was successful in improving the performance of the single ANN model. By making minor adjustment in the input data, the ensemble developed model can be adapted for groundwater potential mapping of other regions and countries toward more efficient water resource management. The present study would be helpful in improving the groundwater condition of the area thus in solving water borne disease related health problem of the population.

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Section: Introductionmentioning

confidence: 99%

Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

Nguyen¹,

Jaafari

et al. 2020

IJERPH

113

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“…It has received tons of pollutants from agricultural surface run-off, industrial and municipal wastes from the Southern Focal Economic Zone (SFEZ), which consists of Ho Chi Minh City (HCMC) and seven other provinces. Indeed, a daily discharge of 260 tons of solid waste, including 25 tons of hazardous waste, 200,000 m 3 of industrial wastewater and 17,000 m 3 of hospital effluent into the River were estimated [15]. Thus, this study aimed to monitor selected trace metals (Cu, Pb, Zn, Cd and Cr) in several sites along SG-DN River and the coastal area near its estuary to understand (1) the distribution of those metals in environment and (2) the relationship between the metal contamination in the environment and in the clam Meretrix Lyrata at Can Gio district, the coastal zone of HCMC.…”

Section: Introductionmentioning

confidence: 99%

Distribution of Heavy Metals in Surface Water, Suspended Particulate Matter, Sediment and Clam (Meretrix Lyrata) From Downstream of Saigon-Dong Nai River, Vietnam

Viet¹

2018

JST

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This study aimed to evaluate distribution of selected heavy metals (Cu, Zn, Pb, Cr and Cd) in clams Meretrixlyrata (clam), suspended particulate matter (SPM), water and sediment in the downstream area of Saigon -Dong Nai (SG-DN) River. During March to September 2015, the contamination of those metals at four sampling sites from fresh water to brackish water zone and Meretrix Lyrata clams, which were cultured at many clam farms at Can Thanh beach at Can Gio District, were monitored. The concentrations of metals in clam samples were also determined at a comparative sampling site at Tan Thanh beach (Tien Giang province). Generally, the order of metal concentrations in all environmental components along the SG-DN River was Zn>Cu>Cr>Pb>Cd while the metal concentrations in different environmental components at Can Thanh area were in different orders. According to the results, the increasing tendency of only Cu, Zn and Cd concentrations in SPM and sediment from river upstream to estuary were found. All trace metal concentrations in clam samples were higher than in water and smaller than in sediment and SPM at Can Thanh. Only Cr concentrations in medium and small clam samples had positive significant correlations with those in sediment and SPM (medium size only). In comparison with concentrations of trace metals in water, sediment, SPM and clams at Tan Thanh, those at Can Thanh were higher.

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“…Rapid urbanization is usually accompanied by explosive increase of urban population, widespread economic growth, linear decreasing of ecosystem services and serious water scarcity, especially in arid and semi-arid regions [1][2][3][4][5]. This is evidenced by river and lake drying, land degradation, biodiversity loss, ecological migration, living standard declining, etc.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Coupling and Decoupling Relationships between Urbanization Quality and Water Resources Constraint Intensity: Spatiotemporal Analysis for Northwest China

Bao

Zou

2017

Sustainability

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Abstract:China is faced with great challenges for its low urbanization quality and high water stress. Moreover, the relationship between urbanization quality and water resources is still ambiguous. Therefore, we firstly constructed an urbanization quality index (UQI) and a water resources constraint intensity index (WRCI) by a fuzzy comprehensive evaluation method with multi-objectives and multi-hierarchies. Secondly, based on the concept and method of "coupling" and "decoupling", we provided a method to explore the coordinated and uncoordinated relationships between UQI and WRCI from a spatiotemporal perspective. Finally, we used the statistical data of 51 prefecture level regions in Northwest China from the period 2000-2014 to analyze the spatiotemporal variation of the coupling and decoupling relationships between UQI and WRCI. Results show that, the UQI and WRCI in the whole Northwest China both belonged to low level, and that they had achieved strong decoupling during 2000-2014. However, the coupling and decoupling relationships between UQI and WRCI in Northwest China had great spatial disparity. From the HL-type regions (regions with high UQI & low WRCI) and strong decoupling type regions, we can find key development areas of Northwest China, where the relationships between UQI and WRCI were optimal and coordinated. From the LH-type regions (regions with low UQI & high WRCI) and strong negative decoupling type regions, we can find key problem areas, where the relationships between UQI and WRCI were the worst and uncoordinated. Our study developed an effective method for evaluating the sustainable development level of urbanization constrained by water resources in Northwest China and similar regions, which is significant for the New-Type Urbanization research in China.

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Urbanization and water management in Ho Chi Minh City, Vietnam-issues, challenges and perspectives

Cited by 67 publications

References 16 publications

Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

Distribution of Heavy Metals in Surface Water, Suspended Particulate Matter, Sediment and Clam (Meretrix Lyrata) From Downstream of Saigon-Dong Nai River, Vietnam

Exploring the Coupling and Decoupling Relationships between Urbanization Quality and Water Resources Constraint Intensity: Spatiotemporal Analysis for Northwest China

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