Assessment of Urbanization-Induced Land-Use Change and Its Impact on Temperature, Evaporation, and Humidity in Central Vietnam

Abstract

In the present day, the acceleration of urban surface heat impacts resulting from urbanization and industrialization is critical for citizens and municipal governments in developing-country cities. The previous key findings have indicated the association between urban surface heat and the following areas: forests, mixed agricultural land, built-up area, and water bodies. This study was motivated by a lack of knowledge regarding the variation of temperature, evaporation, and humidity in Central Vietnam’s major region. The non-parametric Mann–Kendall test, Sen’s slope estimator, and Landsat image analysis were employed to determine the trend and statistical significance of the variables across the 42-year study period for Da Nang city and Quang Nam province. Our results show that Da Nang city has a consistent trend with a high correlation between temperature, evaporation, and relative humidity, whereas Quang Nam province showed an inverse relationship between temperature and relative humidity since the beginning of the regional urbanization. The maximum, minimum, and mean temperatures have increased by at least 0.29 °C in Quang Nam province and 0.71 °C in Da Nang city since 2000. Between 1979 and 2021, the frequency of days with temperatures exceeding 35°C has increased by two and seven days during the past decade at the meteorological stations in Da Nang and Tam Ky, respectively. The temperature in Da Nang city varied from 31.80°C to 32.82°C with high temperatures concentrated in urbanized regions with less coverage of small trees, plants, and water bodies. Thus, the results of this study will serve as a scientific basis for decision-makers and regional officials for land-use management and to increase community awareness of sustainable planning, particularly in Da Nang city and Quang Nam province in Central Vietnam.

Quantifying the impacts of hydraulic infrastructure on tropical streamflows

“…Precipitation varies by season, with 48 to 81% of annual rainfall concentrated between September and December. The average temperature of the basin is 25.2°C, with the lowest temperatures in December or January and the highest in June and July (B. Q. Nguyen et al, 2022) (Figure 2b). The streamflow varied considerably between seasons, and the flood season from October to December corresponded to the heaviest rainy period.…”

“…December. The average temperature of the basin is 25.2 C, with the lowest temperatures in December or January and the highest in June and July (B. Q Nguyen et al, 2022). (Figure2b).…”

Evaluation of Satellite-Derived Precipitation Products for Streamflow Simulation of a Mountainous Himalayan Watershed: A Study of Myagdi Khola in Kali Gandaki Basin, Nepal

“…In recent years, the SWAT tool has become popular in modeling the river basins of the United States, Europe, and other regions [36,37,59] as the model has the capability to handle complex hydrological problems [60]. Other efforts have been made that employed the SWAT model regarding the effects of land use [4,61], climate change impacts [6,43,62], validating DEM products [63], or determining the robustness of SPPs [16,42].…”

“…Precipitation is an important component of the global terrestrial water cycle [1][2][3][4][5][6]. Precipitation data are essential for hydrological modeling [5,7,8], used in hydraulic studies [9], environmental studies [10][11][12], and climate change investigations [5].…”

Ambient temperature modelling from surface characteristics and associating urban morphology with thermal discomfort

“…The horizontal and vertical expansion of built-up areas changes evapotranspiration characteristics, surface albedo properties, reflection of insolation and wind flow patterns etc. (Zhang et al 2017;Nguyen et al 2022;Dutta et al, 2023). This leads to considerable heat trapping and local warming (Dutta et al, 2021;Grover & Singh, 2015).…”