scholarly journals Examination of the conditions of extreme water balance circumstances (water logging, drought) with environmental information technology tools

2016 ◽  
pp. 79-86
Author(s):  
Bernadett Gálya ◽  
Péter Riczu ◽  
Lajos Blaskó ◽  
Vivien Bákonyi ◽  
János Tamás

The Carpathian Basin is characterized by varying hydrological extremes, both in space and time. Hungary's natural endowments are more favourable than average, especially for agricultural production, with 5,3 million hectares of land we have which is suitable for agricultural production. These extreme water management are often occur in the same year and mostly in the same region, which may become more frequent in the future, especially in the lowland regions. The negative impacts of extreme water management was influenced by the land use changes in recent years, which has modified the runoff processes of the affected regions. The aim of the study was to research the formation of inland water and drought circumstances in two sample areas the Great Plain (Szolnok-Túri flat and Nyírség) by geoinformatic tools. During the investigation in the first step we determined that areas which are susceptible to inland water and drought, based on the AGROTOPO database. In addition, land-use categories of characteristics of the sample areas are evaluated according to the Corine Land Cover. Furthermore, after defining characteristic of NDVI values between the period of 2003–2013, we evaluated the effect of drought whether can be detected in crop failures in respective areas. Based on our results, we concluded that the formation of inland water and drought circumstances can be investigated in a large spatial extension by geoinformatic tools and databases.

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 724 ◽  
Author(s):  
Pankaj Kumar ◽  
Rajarshi Dasgupta ◽  
Brian Johnson ◽  
Chitresh Saraswat ◽  
Mrittika Basu ◽  
...  

Rapid changes in land use and land cover pattern have exerted an irreversible change on different natural resources, and water resources in particular, throughout the world. Khambhat City, located in the Western coastal plain of India, is witnessing a rapid expansion of human settlements, as well as agricultural and industrial activities. This development has led to a massive increase in groundwater use (the only source of potable water in the area), brought about significant changes to land management practices (e.g., increased fertilizer use), and resulted in much greater amounts of household and industrial waste. To better understand the impacts of this development on the local groundwater, this study investigated the relationship between groundwater quality change and land use change over the 2001–2011 period; a time during which rapid development occurred. Water quality measurements from 66 groundwater sampling wells were analyzed for the years 2001 and 2011, and two water quality indicators (NO3− and Cl− concentration) were mapped and correlated against the changes in land use. Our results indicated that the groundwater quality has deteriorated, with both nitrate (NO3−) and chloride (Cl−) levels being elevated significantly. Contour maps of NO3− and Cl− were compared with the land use maps for 2001 and 2011, respectively, to identify the impact of land use changes on water quality. Zonal statistics suggested that conversion from barren land to agricultural land had the most significant negative impact on water quality, demonstrating a positive correlation with accelerated levels of both NO3− and Cl−. The amount of influence of the different land use categories on NO3− increase was, in order, agriculture > bare land > lake > marshland > built-up > river. Whereas, for higher concentration of Cl− in the groundwater, the order of influence of the different land use categories was marshland > built-up > agriculture > bare land > lake > river. This study will help policy planners and decision makers to understand the trend of groundwater development and hence to take timely mitigation measures for its sustainable management.


Author(s):  
Barbara PRUS ◽  
Stanisław BACIOR ◽  
Małgorzata DUDZIŃSKA

Intensity of land use could be considered as an indicator of rate of anthropogenic impact on landscape (CAI) and the coefficient of ecological stability (CES). These two bio-indexes are based on the land use categories. The CAI coefficient is the ratio of the sum of percentile areas of land characterized by considerable human impact in relation to the sum of percentile areas of lands with low or none anthropogenic pressure. The CES index describes the structure of land use in one unit according to land use categories weighted by given coefficients. The calculation of the complex integral index enables to know the potential of the environment, i.e. a natural resource reserve with a structure that allows self-regulation of ecosystems and expresses the environment's resistance to bearing anthropogenic loads. The aim of the study is to analyze the historical land use changes (in the period of 1845-2016) in rural areas of Southern Poland using bio-indexes such as the anthropogenic impact on landscape (CAI) and the coefficient of ecological stability (CES). The analysis led to the conclusion about the strong dynamics of changes during this period which is largely due to the growth of the percentile areas of lands with considerable human impact especially after the historical transformation in 1989 in Poland. At the same time, the attention should be paid to the land use changes as an effect of growing suburbanization. The results of the study can be used by public authorities, citizens and governing bodies to form a system of measures to calculate environmental potential and modelling changes which ensure the environmental protection and sustainable development of rural areas.


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Yuanyuan Yang ◽  
Shuwen Zhang ◽  
Yansui Liu ◽  
Xiaoshi Xing ◽  
Alex de Sherbinin

Abstract Historical land use information is essential to understanding the impact of anthropogenic modification of land use/cover on the temporal dynamics of environmental and ecological issues. However, due to a lack of spatial explicitness, complete thematic details and the conversion types for historical land use changes, the majority of historical land use reconstructions do not sufficiently meet the requirements for an adequate model. Considering these shortcomings, we explored the possibility of constructing a spatially-explicit modeling framework (HLURM: Historical Land Use Reconstruction Model). Then a three-map comparison method was adopted to validate the projected reconstruction map. The reconstruction suggested that the HLURM model performed well in the spatial reconstruction of various land-use categories, and had a higher figure of merit (48.19%) than models used in other case studies. The largest land use/cover type in the study area was determined to be grassland, followed by arable land and wetland. Using the three-map comparison, we noticed that the major discrepancies in land use changes among the three maps were as a result of inconsistencies in the classification of land-use categories during the study period, rather than as a result of the simulation model.


GeoTextos ◽  
2009 ◽  
Vol 4 ◽  
Author(s):  
Marcia Aparecida Procopio da Silva Scheer

Esta pesquisa teve como foco de estudo detectar as transformações no uso da terra em municípios componentes da Bacia Hidrográfica do Rio Mogi-Guaçu (SP) entre 1979 e 2001. Ela foi dividida em três etapas. A primeira teve como objetivo a elaboração de um banco de dados de atributos com os resultados da aplicação do modelo Shift-Share sobre dados estatísticos coletados nos Anuários de Produção Agrícola Municipal – IBGE. A segunda etapa consistiu na elaboração de um banco de dados espaciais com a análise multitemporal do uso da terra para seis municípios componentes do CBH-Mogi (Barrinha, Dumont, Jaboticabal, Pitangueiras, Santa Lúcia e Sertãozinho) por meio de imagens de satélite LANDSAT 2–MSS de 1981; LANDSAT 5-TM de 1990 e LANDSAT 7-ETM+ de 2001. Na terceira etapa foram realizadas a integração e comparação das duas metodologias de análise da mudança do uso da terra e da produção agrícola, sendo que os resultados evidenciaram que elas são complementares. Na área de estudo pôde-se notar que a expansão da produção agrícola ocorreu principalmente pela substituição dos cultivos agrícolas menos rentáveis pela cana-de-açúcar e também pelo uso mais intensivo da terra, conseqüência do avanço tecnológico no processo produtivo e de políticas governamentais. Abstract GEOPROCESSING AND SHIFT-SHARE MODEL APPLIED FOR ANALYSIS OF THE LAND COVER TRANSFORMATIONS IN MOGI GUAÇU’S DRAINAGE BASIN BETWEEN 1979 AND 2001 This research had identified the main factors which influenced the changes of the land use in the localities along of the Mogi Guaçu’s drainage basin between 1979 and 2001. This area is located in a strategic geographical region and has an important role for agricultural production the sugar cane at the state, national and international levels. Our study have followed three steps, the first one elaborated a database with the results of the Shift-Share model applied to the statistic data, collected from the Annual Agricultural Production Report in Municipal Scale, by Brazilian Institute of Geography and Statistics (IBGE). The second step have consisted in elaborating a Spatial Database with the multitemporal analysis of the land use in agricultural areas of five localities inside the drainage basin studied (Barrinha, Dumont, Jaboticabal, Pitangueiras, Santa Lúcia and Sertãozinho using satellite images of LANDSAT 2-MSS (1981); LANDSAT 5-TM (1990) and LANDSAT 7-ETM+ (2001). The integration and comparison of the results was the third step of this research, making possible the analysis of land use changes and agricultural production for the studied drainage basin. The results had evidenced that the Shift-share model and geoprocessing are complementary. In the study area the expansion of agricultural production occurred mainly by the substitution of smaller fields of non-profitable agricultural crops by a large sugarcane cultivated area and also, by more intensive agricultural use of the land.


Land ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 16 ◽  
Author(s):  
Achim Ahrens ◽  
Seán Lyons

In this article, we first summarise trends of land use changes and urbanisation in Ireland since 1990 using data from the Corine Land Cover program. In doing so, we compare the developments in Ireland with other European countries. Second, we propose a statistical test for the presence of sprawl using conditional and unconditional convergence tests. The two-part empirical analysis allows us to establish that Ireland has experienced a substantial loss of non-urban land in recent decades. Furthermore, a significant share of urban land use has been extended to remote areas, thereby exacerbating sprawl.


2020 ◽  
Vol 9 (12) ◽  
pp. 708
Author(s):  
Daquan Huang ◽  
Erxuan Chu ◽  
Tao Liu

Studying the factors that influence the expansion of different types of construction land is instrumental in formulating targeted policies and regulations, and can reduce or prevent the negative impacts of unreasonable land use changes. Using land use survey data of Beijing (2001 and 2010), an autologistic model quantitatively analyzed the leading driving forces and differences in four types of construction land expansion (industrial, residential, public service, and commercial land types), focusing on the impact of spatial autocorrelation. The results showed that the influencing factors vary greatly for different types of construction land expansion; the same factor may have a different impact on different construction land, and both planning factors and spatial autocorrelation variables have a significant positive effect on the four types. Accordingly, the municipal government should consider the differences in the expansion mechanisms and driving forces of different construction land and formulate suitable planning schemes, observe the impact of spatial autocorrelation on construction land expansion, and guide spatial agglomeration through policies while appropriately controlling the scale of expansion. The methods and policy recommendations of this research are significant for urban land expansion research and policy formulations in other transition economies and developing countries.


Author(s):  
Tanjeeb Ahmed ◽  
Suman Kumar Mitra ◽  
Rezwana Rafiq ◽  
Sanjana Islam

In recent decades, a major shift in the land use pattern has been observed in Dhaka, the capital city of Bangladesh. To understand and model the impact of these land use changes on transportation demand, this study aimed to determine the trip generation rates for six different land use categories adjacent to Mirpur Road in Dhaka. A total of 20 establishments consisting of six land use categories were selected for the collection of data on person trip rates and respective modal share by manual counts and intercept surveys. These data were used to develop vehicular trip generation rates for each land use category in passenger car equivalents as a uniform unit of comparison. Results showed that commercial and healthcare land uses had the highest average and peak-hour trip rates. There was also a significant variation in the share of eight transport mode categories among the trips generated by the land uses. The peak-hour trip generation rates of the study area were found to be different from the values established by the Institute of Transportation Engineers which corresponds to the fact that trip generation depends on a host of factors, such as surrounding land uses, modal share, the economic condition of a region, and so forth, rather than on a single factor inherent to the land use. The findings of this research can help to determine the trip generation impact of new establishments and consequently identify suitable locations to minimize the impact.


2021 ◽  
Author(s):  
Robert Goler ◽  
Maja Žuvela-Aloise ◽  
Sandro Oswald ◽  
Brigitta Holllósi ◽  
Claudia Hahn ◽  
...  

<p>As the majority of the population live in cities, it is important to understand the urban climate and how it can change in the future. Accordingly, the ACRP-funded project LUCRETIA investigates how land use and land cover determine local climate characteristics within cities in Austria. </p><p>Historical land use data has been obtained for Graz and Vienna for a number of years and used as input into the microscale urban climate model MUKLIMO_3 to simulate both cities in conditions representing a typical summer day. In conjunction with the cuboid method, climate indices such as the average number of summer and hot days per year have been calculated to establish how the heat load changes from one year to another. Differences in the heat load have been related to changes in the land use focusing on (i) the change that occurs in situ and (ii) the change that occurs in the neighbourhood. <br> <br>It is shown that land use categories can be ordered according to their heat load, with categories containing larger amounts of greenery generally having lower heat loads. With the land use categories sorted in such a way, it enables a relatively quick assessment to be made of the effect of replacing one land use category with another, without having to employ expensive modelling tools. Furthermore, it is shown that land-use changes not only affect the heat load of the changed area in situ, but also the neighbourhood around where the change was made. This demonstrates that land-use changes may have a broader spatial impact than initially anticipated. The results from this study can serve as guidance for city planners regarding future land use and land cover changes.</p>


Land ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 99 ◽  
Author(s):  
David Fernández-Nogueira ◽  
Eduardo Corbelle-Rico

This work aims to provide a comprehensive, wall-to-wall analysis of land use/cover changes in the continental areas of Portugal and Spain between 1990 and 2012. This overall objective is developed into two main research questions: (1) Whether differences between the extent and prevalence of changes exist between both countries and (2) which are the hotspots of change (areas where a given land use/cover transition dominates the landscape) in each country. We used Corine Land Cover in three different points in time (1990, 2000, 2012) to explore eight characteristic land cover transitions and carried out a cluster analysis at LAU2 level (municipalities in Spain, parishes in Portugal) that allowed to identify the areas in which each transition was dominant. The main findings include the decline of agricultural area and the increase of urbanized and artificial covers in both countries, but different trends followed by forest cover, with an increase in Spain and a decrease in Portugal. At the same time, the spatial analysis provided an overview of the main gradients of change related to tensions between agricultural intensification–extensification, on the one hand, and deforestation–afforestation, on the other.


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