scholarly journals Evaluation of Water Quality in Ialomita River Basin in Relationship with Land Cover Patterns

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 735 ◽  
Author(s):  
Daniel Dunea ◽  
Petre Bretcan ◽  
Danut Tanislav ◽  
Gheorghe Serban ◽  
Razvan Teodorescu ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Cover ◽  
River Basin ◽  
River Discharge ◽  
Assessment Tool ◽  
Land Use Land Cover ◽  
Site Monitoring ◽  
State Of Water ◽  
Control Section ◽  
Gis Environment

The paper reviews the state of water quality in Ialomita River Basin (IRB), Romania, between 2007 and 2018 using the land use/land cover and basin-specific conditions effects on sediments and nutrients load. On-site monitoring was performed in two control sections of the Ialomita River, one in the upper part of the basin (near Targoviste city) and the second near the discharge into the Danube (downstream of Tandarei town). The statistical averages of water parameters for 10 years’ monitoring in the control section that is close to the Ialomita River discharge in Danube were pH = 7.60 (range: 6.41–8.40), NH4-N = 1.20 mg/L (0.02–14.87), alkalinity = 4.12 mmol/L (1.34–6.27), NO3-N = 2.60 mg/L (0.08–17.30), PO4-P = 0.09 mg/L (0–0,31), dissolved oxygen (DO) = 8.87 mg/L (2.72–15.96), BOD5 = 5.50 mg/L (0.01–74.71), suspended solids (TSS) = 508.32 mg/L (15.2–4457), total dissolved salts (TDS) = 733.69 mg/L (455.2–1053), and river discharge = 38.60 m3/s (8.22–165). Expected mean concentration and soil and water assessment tool (SWAT) modeling have been employed in the GIS environment to extend the approach to large spatial patterns within the basin. The estimated average specific emission on the total area for nitrogen was 3.2 kg N/ha, and 0.3 kg P/ha for phosphorus highly influenced by the agricultural activities. The results are useful to raise awareness regarding water-quality degradation and the need to stop and even reverse such trends for local and national sustainable development.

scholarly journals Analysis of Changes in Land Use/Land Cover and Hydrological Processes Caused by Earthquakes in the Atsuma River Basin in Japan

2021 ◽  
Vol 13 (23) ◽  
pp. 13041
Author(s):  
Yuechao Chen ◽  
Makoto Nakatsugawa
Keyword(s):  
Land Use ◽  
Sediment Transport ◽  
Land Cover ◽  
River Basin ◽  
Assessment Tool ◽  
Swat Model ◽  
Land Use Land Cover ◽  
Sediment Transportation ◽  
Bare Land ◽  
Safety And Stability

The 2018 Hokkaido Eastern Iburi earthquake and its landslides threaten the safety and stability of the Atsuma River basin. This study investigates land use and land cover (LULC) change by analyzing the 2015 and 2020 LULC maps of the basin, and its impact on runoff and sediment transport in the basin by using the soil and water assessment tool (SWAT) model to accurately simulate the runoff and sediment transport process. This study finds that the earthquake and landslide transformed nearly 10% of the forest into bare land in the basin. The simulation results showed that the runoff, which was simulated based on the 2020 LULC data, was slightly higher than that based on the 2015 LULC data, and the sediment transport after the earthquake is significantly higher than before. The rate of sediment transportation after the earthquake, adjusted according to the runoff, was about 3.42 times more than before. This shows that as the forest land decreased, the bare land increased. Conversely, the runoff increased slightly, whereas the sediment transport rate increased significantly in the Atsuma River basin after the earthquake. In future, active governance activities performed by humans can reduce the amount of sediment transport in the basin.

scholarly journals Seasonal Spatio-temporal Land Cover Dynamics in the Upper Brantas Watershed

2021 ◽  
Vol 930 (1) ◽  
pp. 012021
Author(s):  
S M Beselly ◽  
R D Lufira ◽  
U Andawayanti
Keyword(s):  
Land Cover ◽  
River Basin ◽  
River Discharge ◽  
Spatiotemporal Variability ◽  
Land Use Land Cover ◽  
Stream Discharge ◽  
Land Cover Dynamics ◽  
Discharge Variation ◽  
Main Factors ◽  
Spatio Temporal

Abstract Quantitative assessment for sustainable watershed management is essential. Hydrological parameters such as stream discharge, surface runoff, infiltration, groundwater recharge, and water quality are susceptible to the changes of the components in the river basin ecosystem. Numerous studies have shown that the Land Use Land Cover (LULC) changes such as deforestation, extensive agriculture, urbanization, and mining are recognized as the main factors to changes in LULC, which are related to the changes of the hydrological components of the river basin of all scale. This paper particularly shows the spatiotemporal variability of LULC in the Upper Brantas Basin and the effects on the river discharge variation. We showed that the changes in LULC, particularly cultivated and managed vegetation and urban/built-up area, contributed significantly to the river discharge. Particularly in the Upper Brantas Basin, it was indicated that almost half of the increased river discharge was explained by the increase of urban/built-up and the decrease in cultivated and managed vegetation area.

scholarly journals Population Growth–Land Use/Land Cover Transformations–Water Quality Nexus in Upper Ganga River Basin

2017 ◽  
Author(s):  
Anoop Kumar Shukla ◽  
Chandra Shekhar Prasad Ojha ◽  
Ana Mijic ◽  
Wouter Buytaert ◽  
Shray Pathak ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Population Growth ◽  
Urban Area ◽  
River Basin ◽  
Ganga River ◽  
Quality Data ◽  
Demographic Changes ◽  
Land Use Land Cover

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.

An investigation on the effect of land use land cover changes on surface water quantity

2017 ◽  
Vol 18 (2) ◽  
pp. 490-503 ◽  
Author(s):  
Mahsa Mirhosseini ◽  
Parvin Farshchi ◽  
Ali Akbar Noroozi ◽  
Mahmood Shariat ◽  
Ali Asghar Aalesheikh
Keyword(s):  
Land Use ◽  
Surface Water ◽  
Land Cover ◽  
River Basin ◽  
River Discharge ◽  
Water Discharge ◽  
Water Quantity ◽  
Irrigated Agriculture ◽  
Land Use Land Cover ◽  
Changing Trend

Abstract The present study is an attempt to show how changes in land use and land cover would change the quantity of surface water resources in a river basin in northwestern Iran. In order to detect the changing trend of surface water quantity in the river basin, the long-term statistic data of sediment load and river discharge were gathered over the period between 1987 and 2013. For land use change detection of the river basin, the land use land cover maps of the study area in the years of 1987, 1998, 2002, 2009, and 2013 were prepared from Landsat satellite images using supervised classification method. The changing trend of river discharge showed a significant and positive relationship with rain-fed agriculture (R2 = 0.8152), poor rangeland (R2 = 0.7978), and urban areas (R2 = 0.8377). There was also a strong negative correlation between water discharge and irrigated agriculture (R2 = 0.7286) and good rangeland (R2 = 0.8548). In conclusion, increasing the area of rain-fed agriculture, good rangeland (type IV), and urban land uses, due to their effects on increasing the runoff, have caused an increase in the water flow of Zanjanroud River.

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