scholarly journals Spatiotemporal Analysis of Land Use and Land Cover (LULC) Changes and Precipitation Trends in Shanghai

2020 ◽  
Vol 10 (21) ◽  
pp. 7897
Author(s):  
Qin Jiang ◽  
Xiaogang He ◽  
Jun Wang ◽  
Jiahong Wen ◽  
Haizhen Mu ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Extreme Precipitation ◽  
Urban Climate ◽  
Central Area ◽  
Spatiotemporal Analysis ◽  
Rate Of Change ◽  
Lulc Changes ◽  
Increasing Trends ◽  
The Impact

The impacts of anthropogenic land use and land cover (LULC) changes on the spatiotemporal distribution of precipitation in megacities have been highlighted in studies on urban climate change. In this study, we conducted a quantitative analysis of urban growth on the impact on precipitation in Shanghai, China. We considered four periods of LULC data in 1979, 1990, 2000 and 2010, in addition to the long-term (1979–2010) trend of daily precipitation. The results indicate that the trend in precipitation exhibit different characteristics for urban (Ur), outskirt of urban (OUr) and outer suburb (OS) regions. Most Ur regions had an upward trend in annual and extreme precipitation during 1979–2010, while annual precipitation for the OUr and OS regions exhibited a decreasing trend. From 1979 to 2010, the areas of fastest expansion were located in the OUr region. The OS region, far away from the central area, had a relatively lower rate of change. In addition, OUr regions with rapid LULC changes exhibited higher increasing trends in annual and daily extreme precipitation, which is critical for the identification of frequent precipitation areas and the reliable projection of further changes.

scholarly journals Impacts of future land use and land cover change on mid-21<sup>st</sup>-century surface ozone air quality: Distinguishing between the biogeophysical and biogeochemical effects

2019 ◽  
Author(s):  
Lang Wang ◽  
Amos P. K. Tai ◽  
Chi-Yung Tam ◽  
Mehliyar Sadiq ◽  
Peng Wang ◽  
...  
Keyword(s):  
Land Use ◽  
Air Quality ◽  
Land Cover ◽  
Dry Deposition ◽  
Surface Ozone ◽  
Boreal Summer ◽  
Ozone Pollution ◽  
Lulc Change ◽  
Lulc Changes ◽  
The Impact

Abstract. Surface ozone (O3) is an important air pollutant and greenhouse gas. Land use and land cover (LULC) is one of the critical factors influencing ozone, in addition to anthropogenic emissions and climate. LULC change can on the one hand affect ozone biogeochemically, i.e., via dry deposition and biogenic emissions of volatile organic compounds (VOCs). LULC change can on the other hand alter regional- to large-scale climate through modifying albedo and evapotranspiration, which can lead to changes in surface temperature, hydrometeorology and atmospheric circulation that can ultimately impact ozone biogeophysically over local and remote areas. Such biogeophysical effects of LULC on ozone are largely understudied. This study investigates the individual and combined biogeophysical and biogeochemical effects of LULC on ozone, and explicitly examines the critical pathway for how LULC change impacts ozone pollution. A global coupled atmosphere–chemistry–land model is driven by projected LULC changes from the present day (2000) to future (2050) under RCP4.5 and RCP8.5 scenarios, focusing on the boreal summer. Results reveal that when considering biogeochemical effects only, surface ozone is predicted to have slight changes by up to 2 ppbv maximum in some areas due to LULC changes. It is primarily driven by changes in isoprene emission and dry deposition counteracting each other in shaping ozone. In contrast, when considering the integrated effect of LULC, ozone is more substantially altered by up to 6 ppbv over several regions, reflecting the importance of biogeophysical effects on ozone changes. Furthermore, large areas of these ozone changes are found over the regions without LULC changes where the biogeophysical effect is the only pathway for such changes. The mechanism is likely that LULC change induces a regional circulation response, in particular the formation of anomalous stationary high-pressure systems, shifting of moisture transport, and near-surface warming over the middle-to-high northern latitudes in boreal summer, owing to associated changes in albedo and surface energy budget. Such temperature changes then alter ozone substantially. We conclude that the biogeophysical effect of LULC is an important pathway for the influence of LULC change on ozone air quality over both local and remote regions, even in locations without significant LULC changes. Overlooking the impact of biogeophysical effect may cause evident underestimation of the impacts of LULC change on ozone pollution.

scholarly journals Thirty Years of Land Use/Land Cover Changes and Their Impact on Urban Climate: A Study of Kano Metropolis, Nigeria

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1106
Author(s):  
Auwalu Faisal Koko ◽  
Yue Wu ◽  
Ghali Abdullahi Abubakar ◽  
Akram Ahmed Noman Alabsi ◽  
Roknisadeh Hamed ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Urban Expansion ◽  
Urban Climate ◽  
Land Use Land Cover ◽  
Spectral Indices ◽  
The Impact

Rapid urban expansion and the alteration of global land use/land cover (LULC) patterns have contributed substantially to the modification of urban climate, due to variations in Land Surface Temperature (LST). In this study, the LULC change dynamics of Kano metropolis, Nigeria, were analysed over the last three decades, i.e., 1990–2020, using multispectral satellite data to understand the impact of urbanization on LST in the study area. The Maximum Likelihood classification method and the Mono-window algorithm were utilised in classifying land uses and retrieving LST data. Spectral indices comprising the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI) were also computed. A linear regression analysis was employed in order to examine the correlation between land surface temperature and the various spectral indices. The results indicate significant LULC changes and urban expansion of 152.55 sq. km from 1991 to 2020. During the study period, the city’s barren land and water bodies declined by approximately 172.58 sq. km and 26.55 sq. km, respectively, while vegetation increased slightly by 46.58 sq. km. Further analysis showed a negative correlation between NDVI and LST with a Pearson determination coefficient (R2) of 0.6145, 0.5644, 0.5402, and 0.5184 in 1991, 2000, 2010, and 2020 respectively. NDBI correlated positively with LST, having an R2 of 0.4132 in 1991, 0.3965 in 2000, 0.3907 in 2010, and 0.3300 in 2020. The findings of this study provide critical climatic data useful to policy- and decision-makers in optimizing land use and mitigating the impact of urban heat through sustainable urban development.

scholarly journals Spatiotemporal Analysis of Land Use / Land Cover in Swat, Pakistan Using Supervised Classification in Remote Sensing: 2000 to 2015

2020 ◽  
Vol 11 (2) ◽  
pp. 69-74
Author(s):  
Hania Arif ◽  
Bushra Talib ◽  
Muhammad Shahzad ◽  
Syed Amer Mehmood ◽  
HAfsa Batool ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Spatiotemporal Analysis ◽  
Physical Factors ◽  
Land Use Land Cover ◽  
Runoff Generation ◽  
Lulc Changes ◽  
The Social ◽  
Slope Condition ◽  
Climatic Pattern

Changes in land use and land cover affect the social, economic and natural aspects of any area. Mostly land use and land cover (LULC) changes are the result of population growth and human activities in the form of urban agglomerations and industrialization etc. Physical factors like soil structure and type, slope condition, topography are main aspects. Land use change defines the historical pattern that how people used that specific land which depends on the availability of resources and economic conditions. LULC changes may trigger the detrimental effects like increase in natural hazard events and changes in climatic patterns. Climatic pattern directly affects the precipitation, groundwater recharge, the amount of evapotranspiration and runoff generation. On regional and local scale, LULC change is a far-reaching issue because environment and climate condition depend on it

scholarly journals The impact of crop farmers’ decisions on future land use, land cover changes in Kintampo North Municipality of Ghana

2019 ◽  
Vol 11 (1) ◽  
pp. 72-87 ◽  
Author(s):  
Enoch Bessah ◽  
Abdullahi Bala ◽  
Sampson Kweku Agodzo ◽  
Appollonia Aimiosino Okhimamhe ◽  
Emmanuel Amoah Boakye ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Use Changes ◽  
Rate Of Change ◽  
Annual Rate ◽  
Population Increase ◽  
Landsat Images ◽  
Savanna Woodland ◽  
Content Type ◽  
The Impact

Purpose This paper aims to assess the rate and land category contributing to the changes in seven land-uses in the Kintampo North Municipality of Ghana and the effect of the decisions of land users on future landscapes. Design/methodology/approach LANDSAT images were classified to generate land use/cover maps to detect changes that had occurred between 1986 and 2014. In total, 120 farmers were also interviewed to determine their perceptions on land use changes. Interval, category and transition levels of changes were determined. Savanna woodland, settlement and forest were mostly converted to farmland in both intervals (1986-2001 and 2001-2014). Findings Results showed that rock outcrop, plantation, cropland and savanna woodland increased at an annual rate of 13.86, 1.57, 0.82 and 0.33 per cent, respectively, whilst forest, settlement and water body decreased at 4.90, 1.84 and 1.17 per cent annual rate of change, respectively. Approximately, 74 per cent of farmers will not change land use in the future, while 84.2 per cent plan to increase farm sizes. Research limitations/implications The study shows that more land cover will be targeted for conversion as farmers expand their farmlands. There is the need for strict implementation of appropriate land use/cover policies to sustain food production in the region in this era of changing climate and population increase. Originality/value This research assessed the land use changes in the Kintampo North Municipality and its impacts on agriculture and carbon stocks release via land use changes. It identified how the decisions of the local farmers on land management will affect future landscape.

scholarly journals Understanding the impact of dam-triggered land use/land cover change on the modification of extreme precipitation

2012 ◽  
Vol 48 (9) ◽  
Author(s):  
Abel T. Woldemichael ◽  
Faisal Hossain ◽  
Roger Pielke ◽  
Adriana Beltrán-Przekurat
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Extreme Precipitation ◽  
Land Use Land Cover ◽  
The Impact

scholarly journals Integrated Approach to Quantify the Impact of Land Use and Land Cover Changes on Water Quality of Surma River, Sylhet, Bangladesh

Water ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 17
Author(s):  
Abdul Kadir ◽  
Zia Ahmed ◽  
Md. Misbah Uddin ◽  
Zhixiao Xie ◽  
Pankaj Kumar
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Agricultural Land ◽  
Regression Result ◽  
Barren Land ◽  
Lulc Changes ◽  
The Impact ◽  
Surma River

This study aims to assess the impacts of land use and land cover (LULC) changes on the water quality of the Surma river in Bangladesh. For this, seasonal water quality changes were assessed in comparison to the LULC changes recorded from 2010 to 2019. Obtained results from this study indicated that pH, electrical conductivity (EC), and total dissolved solids (TDS) concentrations were higher during the dry season, while dissolved oxygen (DO), 5-day biological oxygen demand (BOD5), temperature, total suspended solids (TSS), and total solids (TS) concentrations also changed with the season. The analysis of LULC changes within 1000-m buffer zones around the sampling stations revealed that agricultural and vegetation classes decreased; while built-up, waterbody and barren lands increased. Correlation analyses showed that BOD5, temperature, EC, TDS, and TSS had a significant relationship (5% level) with LULC types. The regression result indicated that BOD5 was sensitive to changing waterbody (predictors, R2 = 0.645), temperature was sensitive to changing waterbodies and agricultural land (R2 = 0.889); and EC was sensitive to built-up, vegetation, and barren land (R2 = 0.833). Waterbody, built-up, and agricultural LULC were predictors for TDS (R2 = 0.993); and waterbody, built-up, and barren LULC were predictors for TSS (R2 = 0.922). Built-up areas and waterbodies appeared to have the strongest effect on different water quality parameters. Scientific finding from this study will be vital for decision makers in developing more robust land use management plan at the local level.

scholarly journals Land-Use/Land-Cover Changes and Their Impact on Surface Urban Heat Islands: Case Study of Kandy City, Sri Lanka

Climate ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. 99 ◽  
Author(s):  
Dissanayake ◽  
Morimoto ◽  
Ranagalage ◽  
Murayama
Keyword(s):  
Land Use ◽  
Sri Lanka ◽  
Land Cover ◽  
Land Cover Changes ◽  
Annual Growth Rate ◽  
Land Use Land Cover ◽  
Land Area ◽  
Lulc Changes ◽  
Urban Heat ◽  
The Impact

An urban heat island (UHI) is a phenomenon that shows a higher temperature in urban areas compared to surrounding rural areas due to the impact of impervious surface (IS) density, and other anthropogenic activities including changes of land use/land cover (LULC). The purpose of this research is to examine the spatiotemporal land-use/land-cover changes and their impact on the surface UHI (SUHI) in Kandy City, Sri Lanka, using Landsat data and geospatial techniques. LULC classification was made by using a pixel-oriented supervised classification method, and LULC changes were computed by using a cross-cover comparison. The SUHI effect was discussed mainly through the variation of land-surface temperature (LST) over persistent IS and newly added IS. The study showed the dynamics of each LULC and its role in the SUHI. The results showed that IS areas expanded from 529 to 1514 ha (2.3% to 6.7% of the total land area) between 1996 and 2006, and to 5833 ha (23.9% of the total land area) in 2017, with an annual growth rate of 11.1% per year from 1996 to 2006 and 12.2% per year from 2006 to 2017. A gradually declining trend was observed in forest areas. Persistent IS reported the highest mean LST areas compared to newly added IS. The mean LST difference between persistent IS and newly added IS was 1.43 °C over the study period. This is because areas of persistent IS are typically surrounded by IS even in their neighborhoods, whereas areas of newly added IS occur at the edges of the city and are, therefore, cooled by the surrounding nonurban surfaces. This calls for appropriate green-oriented landscape-management methods to mitigate the impact of the SUHI in Kandy City. The findings of the study showed that LULC changes and their effect on the SUHI from 1996 to 2017 made a significant contribution to long records of change dynamics.

scholarly journals PREDICTION OF FUTURE LAND USE LAND COVER CHANGES OF KELANTAN, MALAYSIA

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 379-384
Author(s):  
M. A. Mahamud ◽  
N. Samat ◽  
M. L. Tan ◽  
N. W. Chan ◽  
Y. L. Tew
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Oil Palm ◽  
Urban Expansion ◽  
The State ◽  
Forest Area ◽  
Rubber Plantation ◽  
Land Use Land Cover ◽  
Lulc Changes ◽  
The Impact

Abstract. Land use land cover change (LULC) is a dynamic process, which is largely influenced by anthropogenic effect. In less urbanized area, human activities such as agricultural expansion, timber extraction and infrastructure development, has caused LULC transformation at alarming rate. Understanding of the potential future LULC changes is necessary for town planners and local authorities to formulate and design town planning. Besides that, the projected LULC patterns could also be incorporated into other models to further evaluate the impact of LULC changes on environment, agricultural, ecosystem, water resources and health. This study projected a future LULC scenario of Kelantan, Malaysia, using an integrated GIS CA-Markov model. The model achieved an accuracy of 78.57% when compared with the LULC map of 2008. Built-up area has increased by 111 km2, while forest area has decreased 1532 km2 in the past 15 years. Results showed that the built-up area, oil palm, and rubber plantation are expected to increase to 181.69 km2, 2142.48 km2, and 3076.24 km2, respectively, in 2025. By contrast, forest and paddy area are projected to decrease to 8548.20 km2, and 693.44 km2 respectively. Urban expansion is mainly found in the northern part of the state, while oil palm expansion in the southern part of the state. It was predicted that this pattern will continue in the next thirty years where built-up and agriculture area continued to expand at the stake of forest area. The findings provide useful information for planners in planning for future development and safeguarding the environment.

scholarly journals Hydrological Response of the Wami–Ruvu Basin to Land-Use and Land-Cover Changes and Its Impacts for the Future

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 184
Author(s):  
Jamila Ngondo ◽  
Joseph Mango ◽  
Joel Nobert ◽  
Alfonse Dubi ◽  
Xiang Li ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Assessment Tool ◽  
Climatic Factors ◽  
Water Yield ◽  
Warm Up ◽  
Lulc Changes ◽  
The Future ◽  
The Impact ◽  
Water Assessment

The evaluation of the hydrological responses of river basins to land-use and land-cover (LULC) changes is crucial for sustaining water resources. We assessed the impact of LULC changes (1990–2018) on three hydrological components (water yield (WYLD), evapotranspiration (ET), and sediment yield (SYLD)) of the Wami–Ruvu Basin (WRB) in Tanzania, using the Soil and Water Assessment Tool (SWAT). The 1990 LULC imagery was used for SWAT simulation, and imagery from 2000, 2010, and 2018 was used for comparison with modelled hydrological parameters. The model was calibrated (1993–2008) and validated (2009–2018) in the SWAT-CUP after allowing three years (1990–1992) for the warm-up period. The results showed a decrease in WYLD (3.11 mm) and an increase in ET (29.71 mm) and SYLD (from 0.12 t/h to 1.5 t/h). The impact of LULC changes on WYLD, ET, and SYLD showed that the increase in agriculture and built-up areas and bushland, and the contraction of forest led to the hydrological instability of the WRB. These results were further assessed with climatic factors, which revealed a decrease in precipitation and an increase in temperature by 1°C. This situation seems to look more adverse in the future, based on the LULC of the year 2036 as predicted by the CA–Markov model. Our study calls for urgent intervention by re-planning LULC and re-assessing hydrological changes timely.

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