Modifying the Soil and Water Assessment Tool to simulate cropland carbon flux: Model development and initial evaluation

2013 ◽  
Vol 463-464 ◽  
pp. 810-822 ◽  
Author(s):  
Xuesong Zhang ◽  
R. César Izaurralde ◽  
Jeffrey G. Arnold ◽  
Jimmy R. Williams ◽  
Raghavan Srinivasan
Keyword(s):  
Carbon Flux ◽  
Assessment Tool ◽  
Model Development ◽  
Initial Evaluation ◽  
Flux Model ◽  
Water Assessment ◽  
Soil And Water

scholarly journals Using the Soil and Water Assessment Tool to Simulate the Pesticide Dynamics in the Data Scarce Guayas River Basin, Ecuador

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 696 ◽  
Author(s):  
Naomi Cambien ◽  
Sacha Gobeyn ◽  
Indira Nolivos ◽  
Marie Anne Eurie Forio ◽  
Mijail Arias-Hidalgo ◽  
...  
Keyword(s):  
River Basin ◽  
Assessment Tool ◽  
Model Development ◽  
Model Performance ◽  
Water Quality Monitoring ◽  
Freshwater Ecosystem ◽  
Set Up ◽  
The Impact ◽  
Water Assessment ◽  
Soil And Water

Agricultural intensification has stimulated the economy in the Guayas River basin in Ecuador, but also affected several ecosystems. The increased use of pesticides poses a serious threat to the freshwater ecosystem, which urgently calls for an improved knowledge about the impact of pesticide practices in this study area. Several studies have shown that models can be appropriate tools to simulate pesticide dynamics in order to obtain this knowledge. This study tested the suitability of the Soil and Water Assessment Tool (SWAT) to simulate the dynamics of two different pesticides in the data scarce Guayas River basin. First, we set up, calibrated and validated the model using the streamflow data. Subsequently, we set up the model for the simulation of the selected pesticides (i.e., pendimethalin and fenpropimorph). While the hydrology was represented soundly by the model considering the data scare conditions, the simulation of the pesticides should be taken with care due to uncertainties behind essential drivers, e.g., application rates. Among the insights obtained from the pesticide simulations are the identification of critical zones for prioritisation, the dominant areas of pesticide sources and the impact of the different land uses. SWAT has been evaluated to be a suitable tool to investigate the impact of pesticide use under data scarcity in the Guayas River basin. The strengths of SWAT are its semi-distributed structure, availability of extensive online documentation, internal pesticide databases and user support while the limitations are high data requirements, time-intensive model development and challenging streamflow calibration. The results can also be helpful to design future water quality monitoring strategies. However, for future studies, we highly recommend extended monitoring of pesticide concentrations and sediment loads. Moreover, to substantially improve the model performance, the availability of better input data is needed such as higher resolution soil maps, more accurate pesticide application rate and actual land management programs. Provided that key suggestions for further improvement are considered, the model is valuable for applications in river ecosystem management of the Guayas River basin.

AN EVALUATION OF BLUE WATER PREDICTION IN SOUTHERN PART OF IRAN USING THE SOIL AND WATER ASSESSMENT TOOL (SWAT)

2016 ◽  
Vol 15 (1) ◽  
pp. 175-188 ◽  
Author(s):  
Mohsen Salarpour ◽  
Milad Jajarmizadeh ◽  
Sobri Harun ◽  
Rozi Abdullah
Keyword(s):  
Assessment Tool ◽  
Blue Water ◽  
Water Assessment ◽  
Soil And Water

Can-GLWS: Canadian Great Lakes Weather Service for the Soil and Water Assessment Tool (SWAT) modelling

2020 ◽  
Author(s):  
Narayan K. Shrestha ◽  
Taimoor Akhtar ◽  
Uttam Ghimire ◽  
Ramesh P. Rudra ◽  
Pradeep K. Goel ◽  
...  
Keyword(s):  
Great Lakes ◽  
Assessment Tool ◽  
Water Assessment ◽  
Soil And Water ◽  
Weather Service

scholarly journals Pemodelan Erosi dan Sedimentasi di DAS Bajulmati : Aplikasi Soil dan Water Assesment Tool (SWAT)

2020 ◽  
Vol 18 (2) ◽  
pp. 220-230
Author(s):  
Mohamad Wawan Sujarwo ◽  
Indarto Indarto ◽  
Marga Mandala
Keyword(s):  
Assessment Tool ◽  
Response Unit ◽  
Water Assessment ◽  
Soil And Water

DAS bajulmati merupakan DAS kecil (± 173.4 km2) yang berada di wilayah timur pulau Jawa. DAS bajulmati memiliki iklim yang spesifik yaitu relatif kering dengan musim kemarau yang panjang (8-9 bulan selama setahun). Meskipun kondisi iklim yang kurang mendukung, sebagian besar masyarakat bekerja sebagai petani landang. Adanya perluasan lahan pertanian non irigasi/ladang mengakibatkan tutupan vegetasi semakin berkurang. Oleh karena itu, evaluasi DAS bajulmati diperlukan untuk mengetahui dampak perluasan lahan pertanian terhadap laju aliran dan sedimentasi dengan kondisi iklim yang cukup spesifik (kering). Salah satu model evaluasi pengelolaan DAS terhadap perubahan lahan adalah model SWAT (Soil and Water Assessment Tool). SWAT dapat menggambarkan proses hidrologi (erosi dan sedimentasi) unit lahan. data DEM resolusi (10x10 m) sebagai masukan utama untuk proses delinasi DAS. Data tanah, tutupan lahan, dan kontur digunakan untuk menentukan unit lahan/hydrolocal response unit (HRU) DAS. Data curah hujan dan iklim (suhu, kelembaban rata-rata, intensitas matahari, kecepatan angin) diperoleh dari stasiun yang tersebar di wilayah DAS. Semua data diintegrasikan ke dalam SWAT untuk menghitung proses hidrologi, erosi dan sedimentasi. Debit yang diamati digunakan untuk mengkalibrasi keluaran debit hasil SWAT di outlet DAS. Hasil kalibrasi debit menunjukkan nilai Nash-Sutcliffe Efficiency sebesar 0,53 dan validasi sebesar 0,5 serta koefisien determinasi sebesar 0,58 dan 0,78 (memuaskan) dan model dapat digunakan untuk ilustrasi proses hidrologi dalam DAS bajulmati. Analisis tingkat erosi SWAT menunjukkan bahwa 34,46; 39,19; dan 17,83 menunjukkan tingkat erosi sangat ringan sampai kategori sedang. Oleh karena itu, DAS Bajulmati masih dalam kategori aman karena rata-rata erosi berat dan sangat berat dibawah 10%. Nilai sedimentasi tertinggi pada HRU 512 dan SubDAS 23. Wilayah tersebut merupakan wilayah perkebunan dengan tingkat kemiringan diatas 40%.

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