Modeling the effects of land use change from cotton (Gossypium hirsutum L.) to perennial bioenergy grasses on watershed hydrology and water quality under changing climate

2017 ◽  
Vol 192 ◽  
pp. 198-208 ◽  
Author(s):  
Yong Chen ◽  
Srinivasulu Ale ◽  
Nithya Rajan ◽  
Raghavan Srinivasan
2012 ◽  
Vol 535-537 ◽  
pp. 2162-2165
Author(s):  
Jean De Dieu Bazimenyera ◽  
Qiang Fu ◽  
Niragire Théophila

This paper analyzed the effects of land use change in the catchment area of Lake Kivu on its water quality. The results of laboratory analysis of water samples from 4 locations testing the concentration of major elements showed that Mn, N, P and K are high during the growing and raining seasons and low during the dry and harvesting seasons. They also indicated that the concentrations of Cr, Al were considerably low in all seasons but vary with the seasons at Nyamasheke and Karongi stations. The variations of other major elements were not depending on the seasonal variations.


Water SA ◽  
2017 ◽  
Vol 43 (1) ◽  
pp. 139 ◽  
Author(s):  
CR Petersen ◽  
NZ Jovanovic ◽  
DC Le Maitre ◽  
MC Grenfell

2020 ◽  
Vol 12 (9) ◽  
pp. 3895
Author(s):  
Xi Chen ◽  
Yanhua Wang ◽  
Zucong Cai ◽  
Changbin Wu ◽  
Chun Ye

Different land uses have varying degrees of impact on nitrogen transport in the catchments. In recent decades, rapid urbanization has dramatically changed the Earth’s land surface, which may cause excessive nitrogen losses and a negative influence on the environment. In the long-term scale, it is important to explore how the nitrogen transport responds to land use change and its effects on aquatic habitats. In this study, the water and sediment samples were collected from northern Taihu Basin, and nine periods of land use data were obtained using the techniques of supervised classification. Results revealed that the proportion of farmland area decreased from 28.33% to 7.09%, while that of constructed land area increased from 23.85% to 61.72% during 1990–2017. Most of the constructed land originated from farmland, which makes it the dominant land use type due to rapid urbanization. In spatial distribution, high total nitrogen (TN) losses regions remain distributed over constructed land and farmland, which may aggravate the trend of local water quality deterioration. Of these regions, constructed land was the dominant contributor (46.29%–63.62%) of TN losses from surface runoff. In temporal variation, the TN losses of runoff decreased by 47% from 175 t N·a−1 in 1990. However, they increased by 2.91% from 75.28 t N·a−1 after 2013 with rapid population growth and high fertilizer application (>570 kg·ha−1). The nitrogen load in sediments also has a significant response (t = 2.43, p = 0.02) to the effects of land use change on the overlying water, indicating that the role of nitrogen in the sediment as a source and/or sink to the waterbody may change frequently. Given the increasing accumulation of nitrogen loads in highly urbanized regions, water quality would cause more aggravation in the long-term without reasonable land management measures.


Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management


Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1955
Author(s):  
Mingxi Zhang ◽  
Guangzhi Rong ◽  
Aru Han ◽  
Dao Riao ◽  
Xingpeng Liu ◽  
...  

Land use change is an important driving force factor affecting the river water environment and directly affecting water quality. To analyze the impact of land use change on water quality change, this study first analyzed the land use change index of the study area. Then, the study area was divided into three subzones based on surface runoff. The relationship between the characteristics of land use change and the water quality grade was obtained by grey correlation analysis. The results showed that the land use types changed significantly in the study area since 2000, and water body and forest land were the two land types with the most significant changes. The transfer rate is cultivated field > forest land > construction land > grassland > unused land > water body. The entropy value of land use information is represented as Area I > Area III > Area II. The shift range of gravity center is forest land > grassland > water body > unused land > construction land > cultivated field. There is a strong correlation between land use change index and water quality, which can be improved and managed by changing the land use type. It is necessary to establish ecological protection areas or functional areas in Area I, artificial lawns or plantations shall be built in the river around the water body to intercept pollutants from non-point source pollution in Area II, and scientific and rational farming in the lower reaches of rivers can reduce non-point source pollution caused by farming.


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