Spatiotemporal effects of wastewater ponds from a geoenvironmental perspective in the Kharga region, Egypt

2019 ◽  
Vol 44 (3) ◽  
pp. 376-397 ◽  
Author(s):  
Mahmoud H Darwish ◽  
Wael F Galal
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Groundwater Resources ◽  
Management Plan ◽  
Water Levels ◽  
Environmental Data ◽  
Gis And Remote Sensing ◽  
Comprehensive Management ◽  
Surrounding Areas ◽  
The Impact

One of the major geoenvironmental problems in the Kharga region arises from the haphazard exploitation of groundwater resources and sewage dumping, which have resulted in wastewater accumulation in the form of ponds. The impact of the spatial expansion of wastewater ponds in Kharga and the surrounding area has been so pervasive that ponds have become a source of environmental degradation. These ponds are distributed throughout the area, but the major lakes are located in the eastern and southeastern provinces. The water levels of these ponds are rising at a remarkable rate, especially in the winter, when there is no evaporation and rainfall can lead to overflows that flow towards cities, villages and farmlands. As a result of untreated sewage inflows, all the low surrounding spaces are at high risk of being influenced by these ponds. The objectives of this study were to evaluate the spatiotemporal threats posed by wastewater ponds and develop a conceptual model to estimate the geoenvironmental impacts on the surrounding areas. GIS and remote sensing were used to process all available geological, topographical, hydrogeological, hydrological, land use and environmental data. The pond expansion trend was estimated from Landsat time series from 1984 to 2018, and the results indicated that the wastewater bodies continuously increased and the land cover percentage decreased. The encroachment of wastewater ponds has resulted in extensive land cover disturbances in recent years, and land use change has affected nearly 2.5% of the region. The complexity of the problems associated with wastewater ponds in the Kharga district requires a comprehensive management plan that is effective in not only maintaining the stability of the ponds but also in improving the sociocultural and economic conditions around the ponds. Specifically, the wastewater drainage and accumulation system should be managed according to the surrounding functional context.

scholarly journals Hydrological Response of the Imphal River on the Impact of Landuse/ Landcover and Rainfall Patterns

2020 ◽  
Vol 66 (2) ◽  
pp. 126-135
Author(s):  
Kh. Pradipkumar Singh ◽  
◽  
Priyalina Sapam ◽  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Use Land Cover ◽  
Remotely Sensed Data ◽  
Land Use Pattern ◽  
Rural And Urban ◽  
Landsat 7 ◽  
Spatio Temporal ◽  
Surrounding Areas ◽  
The Impact

The river regime is one of the important parameters in studying the physical attributes in a region. The influence of a river passing in a region is immense. The nature of the stream reflects the natural and cultural set up of the surrounding areas. For instance soil factors, Land use/Land cover and vegetation, habitat, settlements, etc. Everywhere land use/ land cover is often altered during the process of economic and social development and eventually, the morphology and structure of river systems are unconsciously or consciously influenced along with the land-use change. The changes in land use/ land cover have a large amount of impact on the nature of runoff and associated hydrological characteristics. Availability of remotely sensed data has made convenient and accurate to map and monitor the Spatio-temporal variation of land use/ land cover at regional or local scales. The present paper highlights the changing of land use pattern in the Imphal River catchment. To identify the changes, Landsat 5 TM and Landsat 7 ETM+ obtained in 2005 and 2016 have been used and categorize the images into 16 major land use/ land cover. It has been found that over the periods both rural and urban built-up area has increased more than 24 Km2 and decreased in forests cover area by more than 113 Km2 . Further, the study also focused on the rainfallrunoff response through regression analysis. The integration of the analyses demonstrates the effect of land use/ land cover change on discharge characteristics of the study area.

A study of decadal Land use-land cover change in Dehradun city.

2021 ◽  
Author(s):  
Gayatri Singh
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Land Cover Change ◽  
Water Levels ◽  
Physical Factors ◽  
Infrastructure Development ◽  
Land Use Land Cover ◽  
Detection Analysis ◽  
The Impact

<p>The present study is to quantify the spatial-temporal pattern of the Land Use/ Land Cover Change (LULCC) during a decade (i.e., 2010 to 2020) in the Dehradun city which is situated in the foothills of the Himalaya, using Landsat data. The study helps in identifying the major bio-physical factors governing LULCC through modern geospatial techniques. Change detection shows that the study area experienced an increase in its urban area from 2010 to 2020 and a comparatively decrease in cropland and forest area. This was due to an increase in its urban population, rapid increase in industrialization and tourism during the same period. The change detection analysis further shows that 2010-2020, associated with change in croplands, change in built-up, forest lands, change in water-bodies, water levels, and rainfall. With comparison of above results and collected socio-economic data in this region, the impact of changing land use & bio-physical/ economic factors on agricultural profitability were analyzed. The result of this study could thus lead to a detailed and lucid spatiotemporal assessment of the major bio-physical factors. It is expected that the study will help in facilitating better policy making and infrastructure development for industries and urbanization.<br><br></p>

scholarly journals Urban Sprawl Mapping through Geo-Informatics and Impact on Land use and Landcover of Kakinada Municipal Corporation in Andhra Pradesh, India.

2020 ◽  
Vol 9 (2) ◽  
pp. 373-378
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Sprawl ◽  
Water Body ◽  
Urban Expansion ◽  
Natural Increase ◽  
Infrastructure Development ◽  
Dry Land ◽  
Gis And Remote Sensing ◽  
The Impact

Urban infrastructure and urban sprawl required the idea of preparing a proper management plan to avoid the unwanted environmental and economic impacts that come with it. The main objective of the research is to map the urban sprawl using Geospatial technology and t its impact on land use and land cover. The increase in the rate of population over the last two decades is equally responsible for the urban expansion and subsequent infrastructure development. The results of the integrated geospatial study shows that the urban expansion of Kakinada Municipal Corporation was largely caused by the increase in built-up area from 29.67% in 1995, 44.86% in 2011 to 51.34% in 2017 to 62.84% in 2019 out of Kakinada’s township area of 189552.6 ha mainly due to natural increase of the population and rural ward migration. Vegetation area was 50.68% in 1995 and has declined to 37.82% in 2011. However, the percentage of vegetation experienced a hike and covered 40.23% in 2017 and then went downhill with a land cover percentage of 34.04% of the total township by the year 2019. Over the last two decades the water-body and the dry land were largely converted into built-up areas. The decline of 49151 ha of water-body due mainly because of the urban expansion and the dry-land lost nearly 27200.79 ha of its land cover to the built-up areas. Therefore, controlling and monitoring of urban expansion using GIS and remote sensing technologies are vital solutions to assess the impact of urban expansion of land use and land cover.

scholarly journals Monitoring the Spatial Variation of Aerosol Optical Depth and Its Correlation with Land Use/Land Cover in Wuhan, China: A Perspective of Urban Planning

2021 ◽  
Vol 18 (3) ◽  
pp. 1132
Author(s):  
Qijiao Xie ◽  
Qi Sun
Keyword(s):  
Land Use ◽  
Air Quality ◽  
Urban Planning ◽  
Land Cover ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Water Bodies ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
The Impact

Aerosols significantly affect environmental conditions, air quality, and public health locally, regionally, and globally. Examining the impact of land use/land cover (LULC) on aerosol optical depth (AOD) helps to understand how human activities influence air quality and develop suitable solutions. The Landsat 8 image and Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products in summer in 2018 were used in LULC classification and AOD retrieval in this study. Spatial statistics and correlation analysis about the relationship between LULC and AOD were performed to examine the impact of LULC on AOD in summer in Wuhan, China. Results indicate that the AOD distribution expressed an obvious “basin effect” in urban development areas: higher AOD values concentrated in water bodies with lower terrain, which were surrounded by the high buildings or mountains with lower AOD values. The AOD values were negatively correlated with the vegetated areas while positively correlated to water bodies and construction lands. The impact of LULC on AOD varied with different contexts in all cases, showing a “context effect”. The regression correlations among the normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference water index (NDWI), and AOD in given landscape contexts were much stronger than those throughout the whole study area. These findings provide sound evidence for urban planning, land use management and air quality improvement.

Assessment of land use and land cover datasets for Brazil and impact on C emissions

2021 ◽  
Author(s):  
Thais M. Rosan ◽  
Kees Klein Goldewijk ◽  
Raphael Ganzenmüller ◽  
Michael O'Sullivan ◽  
Julia Pongratz ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Carbon Dioxide Emissions ◽  
Dynamic Global Vegetation Model ◽  
Global Carbon Budget ◽  
National Estimates ◽  
National Trends ◽  
Global Vegetation ◽  
Land Cover Maps ◽  
The Impact

<p>Brazil is responsible for about one third of the global land use and land cover change (LULCC) carbon dioxide emissions. However, there is a disagreement among different methodologies on the magnitude and trends in emissions and their geographic distribution. One of the main uncertainties is associated with different LULCC datatasets used as input in the different approaches. In this work we perform an evaluation of LULCC datasets for Brazil, including the global dataset (HYDE 3.2) used in the annual Global Carbon Budget (GCB), and national Brazilian dataset (MapBiomas) over the period 2000-2018. We also analyze the latest global HYDE 3.3 dataset based on new FAO inventory estimates and multi-annual ESA CCI satellite-based land cover maps. Results show that the new HYDE 3.3 can represent well the observed spatial variation in cropland and pastures areas over the last decades compared to national data (MapBiomas) and shows an improvement compared to HYDE 3.2 used in GCB. However, the magnitude of LULCC assessed with HYDE 3.3 is lower than national estimates from MapBiomas. Finally, we used HYDE 3.3 as input to two different approaches included in GCB, a global bookkeeping model (BLUE) and a process-based Dynamic Global Vegetation Model (JULES-ES) to determine the impact of the new version of HYDE dataset on Brazil’s land-use emissions trends over the period 2000-2017. Both JULES-ES and BLUE now simulate a negative land-use emissions trend for the last two decades. This negative trend is in agreement with Brazilian INPE-EM, global H&N bookkeeping models, FAO and as reported in National GHG inventories (NGHGI), although magnitudes differ among approaches. Overall, the inclusion of the multi-annual ESA CCI Land Cover dataset to allocate spatially the FAO statistical data has improved spatial representation of agricultural area change in Brazil in the last two decades, contributing to improve global model capability to simulate Brazil’s LULCC emissions in agreement with national trends estimates and spatial distribution.</p>

scholarly journals The Impact of Land Cover Change on Surface Energy and Water Balance in Mato Grosso, Brazil

2006 ◽  
Vol 10 (19) ◽  
pp. 1-17 ◽  
Author(s):  
Julia Pongratz ◽  
Lahouari Bounoua ◽  
Ruth S. DeFries ◽  
Douglas C. Morton ◽  
Liana O. Anderson ◽  
...  
Keyword(s):  
Land Use ◽  
Surface Energy ◽  
Land Cover ◽  
Morphological Changes ◽  
Canopy Temperature ◽  
Surface Fluxes ◽  
Evergreen Forest ◽  
Wet Season ◽  
Mato Grosso ◽  
The Impact

Abstract The sensitivity of surface energy and water fluxes to recent land cover changes is simulated for a small region in northern Mato Grosso, Brazil. The Simple Biosphere Model (SiB2) is used, driven by biophysical parameters derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) at 250-m resolution, to compare the effects of different land conversion types. The mechanisms through which changes in vegetation alter surface fluxes of energy, momentum, water, and carbon are analyzed for both wet and dry seasons. It is found that morphological changes contribute to warming and drying of the atmosphere while physiological changes, particularly those associated with a plant’s photosynthetic pathway, counterbalance or exacerbate the warming depending on the type of conversion and the season. Furthermore, this study’s results indicate that initial clearing of evergreen and transition forest to bare ground increases canopy temperature by up to 1.7°C. For subsequent land use such as pasture or cropland, the largest effect is seen for the conversion of evergreen forest to C3 cropland during the wet season, with a 21% decrease of the latent heat flux and 0.4°C increase in canopy temperature. The secondary conversion of pasture to cropland resulted in slight warming and drying during the wet season driven mostly by the change in carbon pathway from C4 to C3. For all conversions types, the daily temperature range is amplified, suggesting that plants replacing forest clearing require more temperature tolerance than the trees they replace. The results illustrate that the effect of deforestation on climate depends not only on the overall extent of clearing but also on the subsequent land use type.

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.

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