scholarly journals Impact of Drought and Land – Use Changes on Surface – Water Quality and Quantity: The Sahelian Paradox

10.5772/54536 ◽  
2013 ◽  
Author(s):  
Luc Descroix ◽  
Ibrahim Bouzou ◽  
Pierre Genthon ◽  
Daniel Sighomnou ◽  
Gil Mahe ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Land Use Changes ◽  
Surface Water Quality ◽  
Water Quality And Quantity

scholarly journals Modelling Impacts of a Municipal Spatial Plan of Land-Use Changes on Surface Water Quality—Example from Goriška Brda in Slovenia

Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 189 ◽  
Author(s):  
Matjaž Glavan ◽  
Sara Bele ◽  
Miha Curk ◽  
Marina Pintar
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Land Use Change ◽  
Agricultural Land ◽  
Surface Water Quality ◽  
Erosion Processes ◽  
Phosphorus Loads ◽  
The Impact ◽  
Spatial Plan

Intensive agriculture causes nutrient leaching and accelerates erosion processes, which threatens the good quality status of surface waters, as proposed by the European Union (EU) Water Framework Directive. The purpose of this study was to define the impact of two alternative agricultural land-use change scenarios defined in a Municipal Spatial Plan on surface water quality by using the Agricultural Policy/Environmental eXtender (APEX) model. As experimental area, we chose a small Kožbanjšček stream catchment (1464 ha) situated in the Goriška Brda region in Slovenia. The area, due to favorable conditions for vineyards, is facing increasing deforestation. The change of 66.3 ha of forests to vineyards would increase the sediment, nitrate, and phosphorus loads in the stream by 24.8%, 17.1%, and 10.7%, respectively. With the implementation of vegetative buffer strips as a mitigation measure of the current situation, we could reduce the sediment, nitrate, and phosphorus loads by 17.9%, 11.1%, and 3.1%, respectively, while a combination of the two land-use change scenarios would result in a slight increase of the above-mentioned loads, corresponding to 0.61%, 2.1%, and 6.6%, respectively, compared to the baseline situation. The results confirm that, as we can increase pollution levels with deforestation, we can also reduce water pollution by choosing proper types of land management measures.

Irrigation system and land use effect on surface water quality in river, at lake Dianchi, Yunnan, China

2013 ◽  
Vol 25 (6) ◽  
pp. 1107-1116 ◽  
Author(s):  
Takashi Tanaka ◽  
Takahiro Sato ◽  
Kazuo Watanabe ◽  
Ying Wang ◽  
Dan Yang ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Irrigation System ◽  
Surface Water Quality ◽  
Lake Dianchi

Effect of land use and moisture on phosphorus forms in upland stream beds in South Otago, New Zealand

2009 ◽  
Vol 60 (7) ◽  
pp. 619 ◽  
Author(s):  
Richard W. McDowell
Keyword(s):  
Water Quality ◽  
Land Use ◽  
New Zealand ◽  
Land Use Changes ◽  
Surface Water Quality ◽  
Moisture Regime ◽  
Organic P ◽  
Stream Beds ◽  
Total P ◽  
P Bioavailability

Land use can influence stream sediment composition and water quality, whereas moisture status affects sediment phosphorus (P) bioavailability to algae. Declining upland surface-water quality in South Otago, New Zealand, may reflect land-use changes from sheep- to dairy-farming. I sampled sediment (0–20 cm) from streams draining 12 dairy- and 12 sheep-farmed catchments in spring (wet) and autumn (dry). 31P nuclear magnetic resonance (NMR) spectroscopy and the EDTA-fractionation scheme were used to determine different P forms and infer P bioavailability. Significantly more P was present in the sediment of streams draining dairy- than sheep-farmed catchments. Total P did not differ with the moisture regime; however, changes occurred in the following P fractions: acid-soluble organic P, NaOH-P, CaCO3≈P, Fe(OOH)≈P and residual organic P. Extraction for 31P NMR analysis removed 78–85% of sediment total P and isolated five P classes. More bioavailable P such as orthophosphate (23–40% of P extracted) and diesters (2–6% of P extracted) was present in dry than in wet sediments, and in sediments draining dairy streams than in those from sheep-farmed catchments. This indicates substantial reserves of bioavailable P in sediment from these catchments, especially from dairy-farmed catchments, sustaining in-stream P concentrations for many years even without additional P input from land.

Study on the Water Quality and Quantity Scheduling Scheme in Xinxue River Constructed Wetland of China under the Constraint Condition of Class III of Surface Water Quality

2011 ◽  
Vol 374-377 ◽  
pp. 923-927
Author(s):  
Chao Liu ◽  
Xiao Jie Cao ◽  
Chao Wang ◽  
Jing Jing Sun ◽  
Yu Ting Gu
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Constructed Wetland ◽  
Surface Water Quality ◽  
Ammonia Nitrogen ◽  
Water Quantity ◽  
Constraint Condition ◽  
Scheduling Scheme ◽  
Influent Water ◽  
Water Quality And Quantity

Using Xinxue River Constructed Wetland as the study object, the wetland prediction models based on BP neural network were established through the seasonal division of the wetland, and the maximum influent water load was determined on the constraint condition that effluent water quality achieved class Ⅲ of surface water quality. Then nonlinear functions of water quality and quantity scheduling were constructed by Origin software. The optimal influent load was determined adopting prediction results of the models as constraint conditions of the functions. Thus the water quality and quantity scheduling scheme of the wetland was established. The results show that optimal influent load for Feb. ~ May: the influent water quantity is no more than 8560m3/d, CODCr is 25.47mg/l~26.37mg/l, ammonia nitrogen 0.11mg/l~1.0mg/l, TN 10.28mg/l~10.51mg/l, TP 0.16mg/l; for Jun. ~ Sept.: the water quantity is no more than 31750m3/d, CODCr is 26mg/l~32.36mg/l, or 37.15mg/l~45.37mg/l, ammonia nitrogen 0.48 mg/l~1.78mg/l, TN 5.15mg/l~6.18mg/l, TP 0.07mg/l~0.09mg/l; for Oct. ~ Dec.: the water quantity is no more than 11070m3/d, CODCr is 24.55mg/l~26.91mg/l, ammonia nitrogen no more than 0.75, TN no more than 8.61 mg/l, TP 0.10mg/l~0.12mg/l, or 0.16mg/l~0.17mg/l.

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