Development of Water Management Modeling by using GIS in Chirchik River Basin, Uzbekistan

Pachri, Hendra; Mitani, Yasuhiro; Ikemi, Hiro; Djamaluddin, Ibrahim; Morita, Atsushi

doi:10.1016/j.proeps.2013.01.023

Cited by 5 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Nowadays, many research on engineering field especially on water resources engineering using GIS as a tools. There are several research that used GIS for water resources engineering field, such as: a) GIS was used to developed various spatial data such as land-use layers and hydrological layers to apply fundamental concept of the proposed water management modeling of the Chirchik river basin Uzbekistan and overview of hydrological model using Geomorphology Based Hydrological Model (GBHM) (Pachri et al, 2013) b) GIS was used to assessing water pollution by the use of Landsat data and GIS for at Burullus Lake, Egypt. Multi-spectral Burullus Lake is the second largest lake along the Mediterranean Sea and represents one of the most sub-jected lakes to pollution at the delta's coastline.…”

Section: Gis Application For Water Resources Analysismentioning

confidence: 99%

Modelling of Domestic Water Demand Using Spatial Data Population for Cisadane Upstream Watershed

Hidayat¹,

Yudistira²

2018

CESD

View full text Add to dashboard Cite

<p><em>In Indonesia, water resources management planning has done based on river area. But the problem is the calculation still based on population data with administrative boundary. This is caused by the lack of population data with watershed or river area boundary. Geographical Information System (GIS) is a tools to analyze, visualize and interpret data with spatial and geographic data. For this research, GIS is used to generate population data with watershed and river area boundary,then the result will used for domestic water demand calculation for Cisadane upstream watershed. For all district in Cisadane Upstream Watershed, the largest district in entire watershed are Cibungbulang, Leuwiliang and Nanggung. But the most dense population are Ciomas, Ciampea and Cibungbulang. The calculation using watershed boundary resulting significant difference from district boundary. With spatial data population using watershed boundary, domestic water demand calculation result can be more accurate than using all district population data. </em></p>

show abstract

Section: Gis Application For Water Resources Analysismentioning

confidence: 99%

Modelling of Domestic Water Demand Using Spatial Data Population for Cisadane Upstream Watershed

Hidayat¹,

Yudistira²

2018

CESD

View full text Add to dashboard Cite

show abstract

“…These changes have not only altered the physical appearance of the land but have also contributed to intricate shifts in hydrological regimes, climate patterns, and ecological balances [6,7]. Understanding the patterns, drivers, and consequences of LULCC in Uzbekistan is not only crucial for academic research but also holds profound implications for policymakers and stakeholders engaged in sustainable land management and development [8,9].…”

Section: Introductionmentioning

confidence: 99%

Land use and land cover change dynamics of Uzbekistan: a review

Karimov,

Musaev,

Mirzababayeva

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

Land use and land cover change (LULCC) is a dynamic process that shapes landscapes, ecosystems, and human societies. In the context of Uzbekistan, a country in Central Asia, LULCC has been driven by a complex interplay of socio-economic, political, and environmental factors. This review provides a comprehensive analysis of the historical trajectories, drivers, and implications of LULCC in Uzbekistan. Through the synthesis of diverse data sources including remote sensing imagery, government reports, and peer-reviewed literature, we trace the evolution of land use patterns over time. Agricultural expansion and industrial development have reshaped land cover, impacting biodiversity and ecosystem services. We discuss the intricate web of drivers behind these changes, encompassing demographic shifts, policy alterations, and economic priorities. Moreover, we explore the socio-economic consequences of LULCC, addressing both opportunities and challenges posed by urbanization and agricultural intensification. The interactions between LULCC and climate patterns are examined, underlining the need for climate-conscious land use planning. Drawing on these insights, we emphasize the importance of sustainable land management and evidence-based policy formulation to mitigate negative impacts and maximize benefits. This review underscores the need for continued research, adaptive strategies, and collaborative efforts to address the complex and evolving dynamics of LULCC in Uzbekistan.

show abstract

“…DEMs have been used for a variety of environmental applications, such as modeling water processes. The most commonly used data for DEMs are radar and radiometric reflection data such as Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data (Ica and Hook 2002;Pachri et al 2013;Carrascal et al 2013). There are many examples of DEMs using Shuttle Radar Topography Mission (SRTM) data (e.g., Gesch et al 2006;Lin et al 2013;Sharma and Tiwari 2014).…”

Section: Introductionmentioning

confidence: 99%

Analysis and Correction of Digital Elevation Models for Plain Areas

Ochoa¹,

Vives²,

Zimmermann³

et al. 2019

photogramm eng remote sensing

View full text Add to dashboard Cite

Water movement modeling in plain areas requires digital elevation models (DEMs) adequately representing the morphological and geomorphological land patterns including the presence of civil structures that could affect water flow patterns. This has a direct effect on water accumulation and water flow direction. The objectives of this work were to analyze, compare and improve DEMs so surface water movement in plain areas could be predicted. In order to do that, we evaluated the accuracy of a digital elevation data set consisting in 4064 points measured with a differential global positioning system (GPS) in a plain Several topographic attributes (i.e., height, surface area, land slope, delimitation of geomorphological units, civil structures, basin boundaries and streams network) and different interpolation methods were analyzed. The results showed that both the SRTM and the ALOS PALSAR DEMs had a ± 4.4 m root mean square error (RMSE) in contrast to the ASTER DEM which had a ± 9 m RMSE. Our analysis proved that the best DEM representing the study area is the SRTM. The most suitable interpolation methods applied to the SRTM were the inverse distance weighting and the ANUDEM, whereas the spline method displayed the lowest vertical accuracy. With the proposed method we obtained a DEM for the study area with a ± 3.2 m RMSE, a 33% error reduction compared to the raw DEM.

show abstract

Development of Water Management Modeling by using GIS in Chirchik River Basin, Uzbekistan

Cited by 5 publications

References 6 publications

Modelling of Domestic Water Demand Using Spatial Data Population for Cisadane Upstream Watershed

Modelling of Domestic Water Demand Using Spatial Data Population for Cisadane Upstream Watershed

Land use and land cover change dynamics of Uzbekistan: a review

Analysis and Correction of Digital Elevation Models for Plain Areas

Contact Info

Product

Resources

About