scholarly journals SIG na gestão da água para a agricultura

Finisterra ◽  
2012 ◽  
Vol 38 (76) ◽  
Author(s):  
António Perdigão

GIS IN WATER MANAGEMENT FOR AGRICULTURAL PURPOSES. The needs originating from the application of European Union’s CAP and Water Directive demand a very precise knowledge of the potential uses of water, especially in what concerns to its volumes, availability and quality. In Southern Europe this is particularly significant in order to conduct an eco-compatible management of water resources. Decision Support Systems (DSS) for agricultural purposes and management of agriculture vs. environment conflicts, assuming the need for a compatible water management, account for the objectives and tools adapted to the problems under analysis. The specificities of agricultural practices have been slowly requiring the use of information technology tools, monitoring and follow-up systems, GIS, simulation models and remote sensing approaches, using platforms with different spatial and temporal resolutions. Irrigation management involve availability of good quality data assuming that most information is dynamic, therefore requiring permanent updating (e.g. land use/land cover and climate data). However, the technical characteristics of the tools, very seldom are not adapted to the landscape units context or to the administrative/regional units, to which they are to be applied. The land units approach enables the thematic analysis of landscapes, assuming a strategy based on textures classified as spatial units, in terms of land use/land cover characteristics.

2017 ◽  
Author(s):  
Anoop Kumar Shukla ◽  
Chandra Shekhar Prasad Ojha ◽  
Ana Mijic ◽  
Wouter Buytaert ◽  
Shray Pathak ◽  
...  

Abstract. For sustainable development in a river basin it is crucial to understand population growth–Land Use/Land Cover (LULC) transformations–water quality nexus. This study investigates effects of demographic changes and LULC transformations on surface water quality of Upper Ganga River basin. River gets polluted in both rural and urban area. In rural area, pollution is because of agricultural practices mainly fertilizers, whereas in urban area it is mainly because of domestic and industrial wastes. First, population data was analyzed statistically to study demographic changes in the river basin. LULC change detection was done over the period of February/March 2001 to 2012 [Landsat 7 Enhanced Thematic Mapper (ETM+) data] using remote sensing and Geographical Information System (GIS) techniques. Further, water quality parameters viz. Biological Oxygen Demand (BOD), Dissolve Oxygen (DO) %, Flouride (F), Hardness CaCO3, pH, Total Coliform bacteria and Turbidity were studied in basin for pre-monsoon (May), monsoon (July) and Post-monsoon (November) seasons. Non-parametric Mann–Kendall rank test was done on monthly water quality data to study existing trends. Further, Overall Index of Pollution (OIP) developed specifically for Upper Ganga River basin was used for spatio-temporal water quality assessment. From the results, it was observed that population has increased in the river basin. Therefore, significant and characteristic LULC changes are observed in the study area. Water quality degradation has occurred in the river basin consequently the health status of the rivers have also changed from range of acceptable to slightly polluted in urban areas.


Author(s):  
E. O. Makinde ◽  
E. I. Oyebanji

Increased population, unhealthy agricultural practices, indiscriminate land clearing and illegal structures have led to an increase of erosion in Nigeria and Lagos State in particular. This research focused on identifying land use/land cover changes in Eti-Osa LGA of Lagos State and estimating the actual erosion risk using Remote Sensing and Geography Information System. In addition, this research evaluated the perception of communities within the study area with the view to understanding the risk involved in erosion. Maximum Likelihood Algorithm was the classification method applied on the Landsat imageries (1986-2016) to identify the changes on the land use/land cover types. Analysis of Variance (ANOVA) was used to evaluate the perception of communities within the study area and Revised Universal Soil Loss equation (RUSLE) model was used to estimate the actual erosion risk. The result showed that the sediment yield of the study area was estimated to be between 0 to 48ton/ha/yr. The estimated soil losses were higher in Eti-Osa West compared to other parts of Iru/Victoria Island, and Ikoyi/Obalende areas which recorded low losses. Land uses mostly affected by very high and severe erosion are the bare soils and the crop lands having about 3% to 4% respectively. It can be concluded that rainfall, lack of cover for the surface soil were the major causes of soil loss in the study area.


2021 ◽  
Vol 14 (1) ◽  
pp. 372
Author(s):  
John Peter Obubu ◽  
Seyoum Mengistou ◽  
Robinson Odong ◽  
Tadesse Fetahi ◽  
Tena Alamirew

Catchments for aquatic ecosystems connect to the water quality of those waterbodies. Land use land cover change activities in the catchments, therefore, play a significant role in determining the water quality of the waterbodies. Research on the relationship between land use and land cover changes and water quality has gained global prominence. Therefore, this study aimed at determining land use, land cover changes in the catchments of L. Kyoga basin, and assessing their connectedness to the lake’s water quality. The GIS software was used to determine eight major land use and land cover changes for 2000, 2010, and 2020. Meanwhile, water quality data was obtained through both secondary and primary sources. Spearman correlation statistical tool in SPSS was used to correlate the land use, land cover changes, and water quality changes over the two-decade study period. The results showed that different land use and land cover activities strongly correlated with particular water quality parameters. For example, agriculture correlated strongly with nutrients like TP, TN, and nitrates and turbidity, TSS, BOD, and temp. The correlation with nitrates was statistically significant at 0.01 confidence limit. The findings of this study agreed with what other authors had found in different parts of the world. The results show that to manage the water quality of L. Kyoga, management of land use, land cover activities in the catchment should be prioritized. Therefore, the results are helpful to decision and policy makers and relevant stakeholders responsible for water management.


2021 ◽  
Author(s):  
Mohammed-Aslam Mohammad AbdulKhader ◽  
Reshma Sisupalan Rema

Abstract The linkage between the land use/land cover (LULC) pattern and water quality is an emerging topic in multidisciplinary research. The LULC changes affect water quality in many ways. Change in the land use/land cover, especially urbanization leads to water quality deterioration. This study mainly focuses on the water quality in parts of the river Karamana, which flows through the Thiruvananthapuram urban area. The water quality parameters of six selected sites within the urban area were obtained. Physico-chemical and biological parameters of water quality were analysed for 2019 (pre-monsoon, monsoon, and post-monsoon). The water quality data obtained during the present study were used to characterize the built-up and other areas. Results have shown a distinct variation of parameters in the upstream region (less built-up) than that of the urban area (more built-up). The results have clearly demonstrated the indication of the effect of urbanization on water resources. The speedy development of urban built-up in Thiruvananthapuram city causing severe issues to the water regime in terms of its quality. The data shows that the water quality is poor in the pre-monsoon period in most of the areas. Though the worsening of water quality is limited to a few localized zones, the trend of the quality change is serious. It needs the attention and proper consideration of policy planners and decision-makers. Adequate effluent treatment facilities in the urban regions is the need of the hour to minimize pollution.


2017 ◽  
Vol 04 (03) ◽  
pp. 272-277
Author(s):  
Tawhida A. Yousif ◽  
Nancy I. Abdalla ◽  
El-Mugheira M. Ibrahim ◽  
Afraa M. E. Adam

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