scholarly journals INTEGRATION OF SATELLITE, GLOBAL REANALYSIS DATA AND MACROSCALE HYDROLOGICAL MODEL FOR DROUGHT ASSESSMENT IN SUB-TROPICAL REGION OF INDIA

2018 ◽  
Vol XLII-3 ◽  
pp. 1347-1351 ◽  
Author(s):  
V. Pandey ◽  
P. K. Srivastava
Keyword(s):  
Land Use ◽  
Soil Moisture ◽  
Hydrological Model ◽  
Soil Survey ◽  
Agricultural Drought ◽  
Maximum Temperature ◽  
Soil Parameters ◽  
Moisture Regime ◽  
National Bureau ◽  
Time Step

Change in soil moisture regime is highly relevant for agricultural drought, which can be best analyzed in terms of Soil Moisture Deficit Index (SMDI). A macroscale hydrological model Variable Infiltration Capacity (VIC) was used to simulate the hydro-climatological fluxes including evapotranspiration, runoff, and soil moisture storage to reconstruct the severity and duration of agricultural drought over semi-arid region of India. The simulations in VIC were performed at 0.25° spatial resolution by using a set of meteorological forcing data, soil parameters and Land Use Land Cover (LULC) and vegetation parameters. For calibration and validation, soil parameters obtained from National Bureau of Soil Survey and Land Use Planning (NBSSLUP) and ESA's Climate Change Initiative soil moisture (CCI-SM) data respectively. The analysis of results demonstrates that most of the study regions (> 80 %) especially for central northern part are affected by drought condition. The year 2001, 2002, 2007, 2008 and 2009 was highly affected by agricultural drought. Due to high average and maximum temperature, we observed higher soil evaporation that reduces the surface soil moisture significantly as well as the high topographic variations; coarse soil texture and moderate to high wind speed enhanced the drying upper soil moisture layer that incorporate higher negative SMDI over the study area. These findings can also facilitate the archetype in terms of daily time step data, lengths of the simulation period, various hydro-climatological outputs and use of reasonable hydrological model.

Regional simulation of fall and spring soil moisture in Alberta

1997 ◽  
Vol 77 (3) ◽  
pp. 431-442 ◽  
Author(s):  
O. O. Akinremi ◽  
S. M. McGinn ◽  
A. E. Howard
Keyword(s):  
Soil Moisture ◽  
Root Zone ◽  
Regional Scale ◽  
Model Performance ◽  
Soil Survey ◽  
Agricultural Drought ◽  
Canadian Prairies ◽  
Water Capacity ◽  
Reliable Assessment ◽  
Grid Points

The recurrence of agricultural drought on the prairies has increased the demand for soil moisture information by farmers, regional planners and supporting sectors of agriculture. In response, estimation of regional soil moisture by soil survey is conducted despite its being resource intensive and having limited resolution in time and space. Models that estimate soil moisture on a regional scale would contribute to the evaluation of regional water deficits and overcome problems related to conducting field surveys. This study uses a modified version of the versatile soil moisture budget to estimate available soil moisture within the root zone on a regional scale. The spatial pattern of modelled soil moisture in the fall was similar to that mapped by soil survey. Of the 145 grid points compared, agreement between modelled and field survey was 60% or higher in 5 out of 8 yr. However, too few years of data were available for a reliable assessment of model performance in the spring. The simulated soil moisture was sensitive, and directly related to the value used for available water capacity (AWC). Accurate values of AWC are necessary for accurate simulation of regional soil moisture. Key words: Soil moisture, modelling, water capacity, regional estimates, Canadian prairies

DETERMINATION OF SOIL CLIMATE CLASSES AND SOIL FAMILIES FOR A LEVEL 3 SURVEY IN THE CORDILLERA

1981 ◽  
Vol 61 (2) ◽  
pp. 203-210 ◽  
Author(s):  
T. VOLD ◽  
R. D. MARSH
Keyword(s):  
Land Use ◽  
Soil Moisture ◽  
Soil Survey ◽  
Climate Data ◽  
Main Obstacle ◽  
Soil Variation ◽  
Level 3 ◽  
Soil Climate ◽  
Climax Forest

The soil family was used to describe soil map units in an intermediate level survey of British Columbia. The main obstacle to its application was determination of soil climate. Soil climate (soil temperature classes and soil moisture subclasses) was derived from atmospheric climate data. It was then related to climax forest vegetation which was used to locate map unit boundaries. By linking biological characteristics to the soil survey, interpretations for wildlife and forestry were enhanced. At the level in which the survey was conducted, the soil family usefully reflected the soil variation in the landscape while providing ample information for most land use interpretations.

Soil Moisture Prediction for Huaihe River Basin Using Hydrological Model XXT and TOPMODEL

2013 ◽  
Vol 433-435 ◽  
pp. 1817-1820 ◽  
Author(s):  
Jing Wen Xu ◽  
Jun Fang Zhao ◽  
Peng Wang ◽  
Shuang Liu
Keyword(s):  
Soil Moisture ◽  
Hydrological Model ◽  
Temporal Change ◽  
Agricultural Drought ◽  
Hydrological Models ◽  
Huaihe River ◽  
Change Pattern ◽  
The Mean ◽  
The Huaihe River ◽  
Future Work

Soil moisture plays an important role in agricultural drought predicting. Hydrological models can be employed to forecast soil moisture. In order to get better predicted soil moisture information, we use two basin hydrological models, i.e. XXT and TOPMODEL, to forecast the soil moisture for Huaihe River watershed. The performance of both the two models was tested in the Linyi watershed with a drainage area of 10040 km2, a tributary of the Huaihe river, China. The results show that the soil moisture simulated by the XXT is more agree with the observed ones than that simulated by TOPMODE compared to the filed observed soil moisture at 10 cm or the mean ones of 10 cm, 20 com, and 40 cm from surface, and that the predicted soil moisture by both the models has the similar trend and temporal change pattern with the observed one. However, both the models need to be improved in soil moisture forecasting in the future work.

scholarly journals Assessment of Surface Runoff using ArcSWAT for Rela Watershed, Rajasthan, India

2020 ◽  
pp. 22-32
Author(s):  
K. Hema Narayana Reddy ◽  
Mahesh Kothari ◽  
K. S. Reddy ◽  
P. K. Singh ◽  
K. K. Yadav
Keyword(s):  
Management Practices ◽  
Assessment Tool ◽  
Swat Model ◽  
Soil Survey ◽  
Maximum Temperature ◽  
National Bureau ◽  
Landsat Images ◽  
Average Annual Runoff ◽  
Water Assessment ◽  
Soil And Water

The current study based on SWAT (Soil and Water Assessment Tool) Model which coordinates the GIS data with attribute database set to assess the runoff of Rela Watershed. Soil and Water Assessment Tool (SWAT) is based on distributed parameter model which has been created to forecast runoff, sediment, erosion and nutrient transport from agrarian watersheds under various management practices. The SWAT Model works related to Arc GIS. In the current study the catchment region has been delineated utilizing the DEM (Digital Elevation Model) and afterward partitioned into 29 sub-watersheds or sub-basins. For planning of landuse map, the LANDSAT images are downloaded from earth explorer and the soil mapis obtained from NBSS (National Bureau of Soil Survey, Udaipur). The sub basins are partitioned into 29 HRUs which represents Hydrological Response Unit. At that point by utilizing 30 years of every day precipitation information and daily minimum and maximum temperature information SWAT simulation is accomplished for consistent schedule to estimate Runoff. The insights indicated diverse runoff framework esteem during the time 19.5 mm being the most minimal and 527.3 mm being the maximum runoff for Rela Watershed. The average annual runoff is 162.6 mm i.e. 28% of total rainfall in Rela Watershed.

scholarly journals Assessing the Influence of Land Use/Land Cover Alteration on Climate Variability: An Analysis in the Aurangabad District of Maharashtra State, India

2022 ◽  
Vol 14 (2) ◽  
pp. 642
Author(s):  
Md Masroor ◽  
Ram Avtar ◽  
Haroon Sajjad ◽  
Pandurang Choudhari ◽  
Luc Cimusa Kulimushi ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Moisture ◽  
Wind Speed ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Land Cover ◽  
Positive Relationship ◽  
Agricultural Land ◽  
Maximum Temperature ◽  
Land Use Land Cover

Examining the influence of land use/land cover transformation on meteorological variables has become imperative for maintaining long-term climate sustainability. Rapid growth and haphazard expansion have caused the conversion of prime agricultural land into a built-up area. This study used multitemporal Landsat data to analyze land use/land cover (LULC) changes, and Terra Climate monthly data to examine the impact of land transformation on precipitation, minimum and maximum temperature, wind speed, and soil moisture in the Aurangabad district of Maharashtra state in India during 1999–2019. Multiple linear regression and correlation analysis were performed to determine the association among LULC classes and climatic variables. This study revealed rapid urbanization in the study area over the years. The built-up area, water bodies, and barren lands have recorded a steep rise, while the agricultural area has decreased in the district. Drastic changes were observed in the climatic variables over the years. The precipitation and wind speed have shown decreasing trends during the study period. A positive relationship between soil moisture and agricultural land was found through a correlation analysis. Conspicuous findings about the positive relationship between the agricultural land and maximum temperature need further investigation. A multiple linear regression analysis demonstrated a negative relationship between the built-up area and precipitation. The intensity of the precipitation has reduced as a consequence of the developmental activities in the study area. Moreover, a positive relationship was observed between the built-up area and maximum temperature. Thus, this study calls for policy implications to formulate a futuristic land-use plan considering climate change projection in the district.

scholarly journals Modulation of Land-Use Change Impacts on Temperature Extremes via Land–Atmosphere Coupling over Australia

2015 ◽  
Vol 19 (12) ◽  
pp. 1-24 ◽  
Author(s):  
A L. Hirsch ◽  
A. J. Pitman ◽  
J. Kala ◽  
R. Lorenz ◽  
M. G. Donat
Keyword(s):  
Land Use ◽  
Soil Moisture ◽  
Land Use Change ◽  
Coupling Strength ◽  
Regional Climate ◽  
Climate Extremes ◽  
Convective Precipitation ◽  
Maximum Temperature ◽  
Temperature Extremes ◽  
The Impact

Abstract The role of land–atmosphere coupling in modulating the impact of land-use change (LUC) on regional climate extremes remains uncertain. Using the Weather and Research Forecasting Model, this study combines the Global Land–Atmosphere Coupling Experiment with regional LUC to assess the combined impact of land–atmosphere coupling and LUC on simulated temperature extremes. The experiment is applied to an ensemble of planetary boundary layer (PBL) and cumulus parameterizations to determine the sensitivity of the results to model physics. Results show a consistent weakening in the soil moisture–maximum temperature coupling strength with LUC irrespective of the model physics. In contrast, temperature extremes show an asymmetric response to LUC dependent on the choice of PBL scheme, which is linked to differences in the parameterization of vertical transport. This influences convective precipitation, contributing a positive feedback on soil moisture and consequently on the partitioning of the surface turbulent fluxes. The results suggest that the impact of LUC on temperature extremes depends on the land–atmosphere coupling that in turn depends on the choice of PBL. Indeed, the sign of the temperature change in hot extremes resulting from LUC can be changed simply by altering the choice of PBL. The authors also note concerns over the metrics used to measure coupling strength that reflect changes in variance but may not respond to LUC-type perturbations.

The soil moisture regime of charcoal-enriched land use legacy sites

Geoderma ◽  
2020 ◽  
Vol 366 ◽  
pp. 114241 ◽  
Author(s):  
Anna Schneider ◽  
Florian Hirsch ◽  
Alexander Bonhage ◽  
Alexandra Raab ◽  
Thomas Raab
Keyword(s):  
Land Use ◽  
Soil Moisture ◽  
Moisture Regime ◽  
Soil Moisture Regime

The temperature and moisture regime of charcoal-enriched land use legacy soils

2020 ◽  
Author(s):  
Anna Schneider ◽  
Florian Hirsch ◽  
Alexander Bonhage ◽  
Alexandra Raab ◽  
Thomas Raab
Keyword(s):  
Thermal Conductivity ◽  
Land Use ◽  
Soil Moisture ◽  
Soil Temperature ◽  
Bulk Density ◽  
Forest Soils ◽  
Moisture Regime ◽  
Seasonal Temperature ◽  
Water Contents ◽  
Soil Temperature And Moisture

<p>The stratigraphy and properties of soils can be significantly altered by past land use, even in areas that have been continuously used for forestry. Soils on relict charcoal hearths (RCHs) are a widespread example of such a pedological legacy of past forest use. RCH soils occur in many forest areas and receive increasing attention as model sites to study long-term effects of soil amendment with biochars, however, their physical properties have hardly been studied. The objective of our study was to characterize the soil temperature and moisture regime of RCH soils through comparison to reference forest soils on sandy substrates in woodlands in Brandenburg, Germany. We combined laboratory analyses of bulk density, pore size distribution, thermal conductivity and saturated hydraulic conductivity with sensor-based monitoring of soil temperature, moisture contents and matric potentials. </p><p>The results of laboratory analysis reveal high soil organic matter (SOM) contents, a low bulk density and high porosity of the RCH substrates. Associated with this RCH specific soil structure, RCHs exhibit clearly lower thermal conductivity. However, the higher total porosity of RCH substrates does not necessarily imply higher water retention and plant-available water contents in the RCH soils than in the topsoil horizons of undisturbed forest soils.  The monitoring results reveal distinct differences between the temperature regimes of the RCH and reference profiles, with the RCH soil exhibiting higher daily and seasonal temperature variations within the topmost horizon, but lower variations in deeper parts of the profiles. Soil moisture monitoring shows higher water contents in RCH soils under relatively wet conditions and lower water contents under dry conditions, and increased spatial variation in soil moisture in RCH soils. Overall, the results show increased spatial and temporal variability of soil temperature and moisture on RCHs, which implies an increased variability in ecological site conditions in historic charcoal production areas.</p><p> </p>

scholarly journals Confirmation of <i>ACRU</i> model results for applications in land use and climate change studies

2010 ◽  
Vol 7 (4) ◽  
pp. 4591-4634 ◽  
Author(s):  
M. L. Warburton ◽  
R. E. Schulze ◽  
G. P. W. Jewitt
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Hydrological Model ◽  
Climatic Conditions ◽  
Western Cape ◽  
Land Uses ◽  
Residential Areas ◽  
Time Step ◽  
Hydrological Responses ◽  
Commercial Plantation

Abstract. The hydrological responses of a catchment are sensitive to, and strongly coupled to, land use and climate, and changes thereof. The hydrological responses to the impacts of changing land use and climate will be the result of complex interactions, where the change in one may moderate or exacerbate the effects of the other. A further difficulty in assessing these interactions will be that dominant drivers of the hydrological system may vary at different spatial and temporal scales. To assess these interactions, a process-based hydrological model, sensitive to land use and climate, and changes thereof needs to be used. For this purpose the daily time step ACRU model was selected. However, to be able to use a hydrological model such as ACRU with confidence its representation of reality must be confirmed by comparing simulated output against observations across a range of climatic conditions. Comparison of simulated against observed streamflow was undertaken in three climatically diverse South African catchments, ranging from the semi-arid sub-tropical Luvuvhu catchment, to the winter rainfall Upper Breede catchment and the sub-humid Mgeni catchment. Not only do the climates of the catchments differ, but their primary land uses also vary. In the upper areas of the Mgeni catchment commercial plantation forestry is dominant, while in the middle reaches there are significant areas of commercial plantation sugarcane and urban areas, while the lower reaches are dominated by urban areas. The Luvuvhu catchment has a large proportion of subsistence agriculture and informal residential areas. In the Upper Breede catchment in the Western Cape, commercial orchards and vineyards are the primary land uses. Overall the ACRU model was able to represent the high, low and total flows, with satisfactory Nash-Sutcliffe efficiency indexes obtained for the selected catchments. The study concluded that the ACRU model could be used with confidence to simulate the streamflows of the three selected catchments and was able to represent the hydrological responses from the range of climates and diversity of land uses present within the catchments.

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