Sustainable development in cities: Studying the relationship between groundwater level and urbanization using remote sensing data

Kalhor, Koosha; Emaminejad, Newsha

doi:10.1016/j.gsd.2019.100243

Cited by 37 publications

(12 citation statements)

References 29 publications

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“…The potential use of groundwater, particularly in agricultural-based developing countries like Bangladesh, is a paramount concern to the policy-makers on groundwater resources (GWR) management perspective (Morris et al 2003; Mackay et al 2015;Salam et al, 2020a;Islam et al 2021a). In recent times, climate variability (e.g., rainfall infiltration rate, surface runoff, evaporation, and increase in temperature), rapid population increase, and over-exploitation have a detrimental effect on this valuable GWR in many drought-prone regions worldwide Cheng et al, 2016;Kalhor and Emaminejad, 2019;Yadav et al, 2020;Ajibade et al 2021). This is primarily genuine for northwest region of Bangladesh, where high population density and increasing agricultural crop production raise water demand Husna et al 2016; Islam et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Assessing and forecasting of groundwater level fluctuation in Joypurhat district, northwest Bangladesh, using wavelet analysis and ARIMA modeling

Rashid¹,

Alamgir

Ahmed³

et al. 2022

Theor Appl Climatol

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Groundwater resource plays a crucial role for agricultural crop production and socio-economic development in some parts of the world including Bangladesh. Joypurhat district, the northwest part of Bangladesh, a crop production hub, is entirely dependent on groundwater irrigation. A precise assessment and prediction of groundwater level (GWL) can assist long-term GWR management, especially in drought-prone agricultural regions. Therefore, this study was carried out to identify trends and magnitude of GWL fluctuation (1980-2019) using the Modified Mann-Kendall test, Pettitt's Test, and Sen Slope estimators in the drought-prone Joypurhat district, northwest Bangladesh. Time-series data analysis was performed to forecast GWL from 2020 to 2050 using the Auto-Regressive Integrated Moving Average (ARIMA) model. The findings of the MMK test revealed a significant declining trend of GWL, and the trend turning points were identified in the years 1991, 1993, 1997, and 2004, respectively. Results also indicate that the declining rate of GWL varied from 0.104 m/yr to 0.159 m/yr and the average rate of GWL declination was 0.136 m/yr during 1980-2019. The outcomes of wavelet spectrum analysis depicted two significant periods of the declining trend in Khetlal and Akkelpur Upazilas. The results obtained from the optimal identified model ARIMA (2,1,0), indicating that GWL will decline at a depth of 13.76 m in 2050, and the average declination rate of GWL will be 0.143 m/yr in the study area. The predicted results showed a similar declining tendency of GWL from 2020 to 2050, suggesting a disquieting condition, particularly for Khetlal Upazila. This research would provide a practical approach for GWL assessment and prediction that could help decisionmakers implement long-term GWR management in the study area.

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Section: Introductionmentioning

confidence: 99%

Assessing and forecasting of groundwater level fluctuation in Joypurhat district, northwest Bangladesh, using wavelet analysis and ARIMA modeling

Rashid¹,

Alamgir

Ahmed³

et al. 2022

Theor Appl Climatol

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“…High-speed urbanization has promoted China's 'economic miracle' (Yusuf & Saich 2008). However, its highly centralized housing model has also brought about many urban problems that are different from those in the traditional housing model (Tian 2015), such as deteriorating environment (Yuan et al 2018), low quality of life (Fang & Wang 2013), reduced arable land (Tian 2015), air and water pollution (Carrascal Incera et al 2017;Wang et al 2017a), inefficient traffic flow (Shen et al 2018), reduced groundwater levels (Kalhor & Emaminejad 2019), and urban heat island effects (Liu et al 2020;Zarrineh et al 2020). These problems are commonly associated with urban development around the world (Fang et al 2019;Wang et al 2019b).…”

Section: Introductionmentioning

confidence: 99%

A review of the progress in Chinese Sponge City programme: challenges and opportunities for urban stormwater management

Zhang

2021

Water Supply

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Urbanization has been the main driving force for China's economic growth in recent years; however, the highly concentrated urbanized lifestyle has brought many environmental problems to residents, the most urgent of which is urban stormwater management. Some countries have proposed plans for urban stormwater management, such as Low Impact Development (LID), Water Sensitive Urban Design (WSUD), Sustainable Urban Drainage Systems (SUDS). As a country with relatively underdeveloped urban stormwater management, China's government proposed an ambitious urban stormwater management plan in 2014, called the Sponge City Programme, which means that a city is designed to act like a sponge, with good ‘resilience’ in adapting to environmental changes and coping with natural disasters. As of 2021, this programme has led to SCP projects in 30 pilot districts all over China, the Sponge City Programme construction impacts both urban development and resident's life. However, there are risks and challenges associated with these projects. Using government research documents as a framework, this paper carefully reviews the progress of the Sponge City Programme in recent years and shows the main challenges faced by Sponge City Programme in terms of connotation, investment, and technology. On this basis, the paper puts forward practical suggestions for the development of the Sponge City Programme and details potential opportunities of new technology, ideology, planning, and flexible investment.

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Section: Introductionmentioning

confidence: 99%

Assessing and Forecasting of Groundwater Level Fluctuation in Joypurhat District, Northwest Bangladesh Using Wavelet Analysis and ARIMA Modeling

Rashid

Alamgir

Ahmed

et al. 2021

Preprint

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Groundwater resource plays a crucial role for agricultural crop production and socio-economic development in some parts of the world including Bangladesh. Joypurhat district, the northwest part of Bangladesh, a crop production hub, is entirely dependent on groundwater irrigation. A precise assessment and prediction of groundwater level (GWL) can assist long-term GWR management, especially in drought-prone agricultural regions. Therefore, this study was carried out to identify trends and magnitude of GWL fluctuation (1980-2019) using the Modified Mann- Kendall test, Pettitt’s Test, and Sen Slope estimators in the drought-prone Joypurhat district, northwest Bangladesh. Time-series data analysis was performed to forecast GWL from 2020 to 2050 using the Auto-Regressive Integrated Moving Average (ARIMA) model. The findings of the MMK test revealed a significant declining trend of GWL, and the trend turning points were identified in the years 1991, 1993, 1997, and 2004, respectively. Results also indicate that the declining rate of GWL varied from 0.104 m/yr to 0.159 m/yr and the average rate of GWL declination was 0.136 m/yr during 1980-2019. The outcomes of wavelet spectrum analysis depicted two significant periods of the declining trend in Khetlal and Akkelpur Upazilas. The results obtained from the optimal identified model ARIMA (2,1,0), indicating that GWL will decline at a depth of 13.76 m in 2050, and the average declination rate of GWL will be 0.143 m/yr in the study area. The predicted results showed a similar declining tendency of GWL from 2020 to 2050, suggesting a disquieting condition, particularly for Khetlal Upazila. This research would provide a practical approach for GWL assessment and prediction that could help decision-makers implement long-term GWR management in the study area.

show abstract

Sustainable development in cities: Studying the relationship between groundwater level and urbanization using remote sensing data

Cited by 37 publications

References 29 publications

Assessing and forecasting of groundwater level fluctuation in Joypurhat district, northwest Bangladesh, using wavelet analysis and ARIMA modeling

Assessing and forecasting of groundwater level fluctuation in Joypurhat district, northwest Bangladesh, using wavelet analysis and ARIMA modeling

A review of the progress in Chinese Sponge City programme: challenges and opportunities for urban stormwater management

Assessing and Forecasting of Groundwater Level Fluctuation in Joypurhat District, Northwest Bangladesh Using Wavelet Analysis and ARIMA Modeling

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